Search

Stroke is the leading cause of permanent motor disability in the United States (US), but there has been little progress in developing novel, effective strategies for treating post-stroke motor deficits. The past decade has seen the rapid development of many promising, gamified neurorehabilitation technologies; however, clinical adoption remains limited. The purpose of this review is to evaluate the recent literature surrounding the adoption and use of gamification in neurorehabilitation after stroke.Gamification of neurorehabilitation protocols is both feasible and effective. Deployment strategies and scalability need to be addressed with more rigor. Relationship between engaged time on task and rehabilitation outcomes should be explored further as it may create benefits beyond repetitive movement. As gamification becomes a more common and feasible way of delivering exercise-based therapies, additional benefits of gamification are emerging. In spite of this, questions still exist about scalability and widespread clinical adoption.

Supplemental digital content is available in the text., Objective This report describes persistent symptoms associated with post-acute COVID-19 syndrome (PACS) and the impact of these symptoms on physical function, cognitive function, health-related quality of life, and participation. Design This study used a cross-sectional observational study design. Patients attending Mount Sinai’s post-acute COVID-19 syndrome clinic completed surveys containing patient-reported outcomes. Results A total of 156 patients completed the survey, at a median (range) time of 351 days (82–457 days) after COVID-19 infection. All patients were prevaccination. The most common persistent symptoms reported were fatigue (n = 128, 82%), brain fog (n = 105, 67%), and headache (n = 94, 60%). The most common triggers of symptom exacerbation were physical exertion (n = 134, 86%), stress (n = 107, 69%), and dehydration (n = 77, 49%). Increased levels of fatigue (Fatigue Severity Scale) and dyspnea (Medical Research Council) were reported, alongside reductions in levels of regularly completed physical activity. Ninety-eight patients (63%) scored for at least mild cognitive impairment (Neuro-Qol), and the domain of the EuroQol: 5 dimension, 5 level most impacted was Self-care, Anxiety/Depression and Usual Activities. Conclusions Persistent symptoms associated with post-acute COVID-19 syndrome seem to impact physical and cognitive function, health-related quality of life, and participation in society. More research is needed to further clarify the relationship between COVID-19 infection and post-acute COVID-19 syndrome symptoms, the underlying mechanisms, and treatment options.

Background: Coronavirus disease 2019 (COVID-19) poses a global public health emergency, overwhelming health systems worldwide and forcing rapid adoption of telemedicine strategies. Introduction: The COVID-19 Precision Recovery Program (PRP) is a remote patient monitoring (RPM) clinical program that was deployed by a New York health system to perform physiologic and symptomatic monitoring for patients with confirmed or suspected COVID-19 diagnoses. Methods: The present cross-sectional descriptive study reports retrospective data collected from the PRP during the COVID-19 crisis in New York. Results: One hundred twelve patients were included; mean (standard deviation) age was 49 (17.6) years and 60.7% were female. Most prevalent reported comorbidities were hypertension (36.3%), hypercholesterolemia (26.5%), and diabetes (17.7%). Less than half (44.6%) had a positive polymerase chain reaction COVID test (PCR-test), 33% had an unknown COVID status, and 17.9% had a negative test result. The most commonly reported symptoms included dyspnea (55.4%) and anxiety (55.4%). Anxiety was ranked as the most severe symptom (9.8%), followed by difficulty concentrating (4.5%). Symptom presentation did not significantly differ based on PCR-test status. Discussion: RPM can be a valuable tool for delivering care to patients with confirmed or suspected COVID-19 diagnoses. Considering similarities in symptom presentation between PCR-test statuses, access to COVID-related clinical care should not be based on PCR-test results. Conclusions: RPM has strong potential to assist in the effective management of suspected COVID-19 patients.

Hypertension management has several challenges, including poor compliance with medications and patients being lost to follow-up. Recently, remote patient monitoring and telehealth technologies have emerged as promising methods of blood pressure management. We aimed to investigate the role of application-based telehealth programs in optimizing blood pressure management.Searches were performed in December 2020 using three databases: Cochrane Central Register of Controlled Trials, Embase and Ovid MEDLINE. All randomized controlled trials that included remote blood pressure management programmes were eligible for inclusion. Studies were included if blood pressure data were available for both the intervention and control groups. Following PRISMA guidelines, data were independently collected by two reviewers. Data were pooled using a random-effects model. The primary study outcomes were mean SBP and DBP changes for the intervention and control groups.Eight hundred and seventy-nine distinct articles were identified and 18 satisfied inclusion and exclusion criteria. Overall, a mean weighted decrease of 7.07 points (SBP) and 5.07 points (DBP) was found for the intervention group, compared with 3.11 point (SBP) and 3.13 point (DBP) decreases in the control group. Forest plots were constructed and effect sizes were also calculated. Mean change effect sizes of 1.1 (SBP) and 0.98 (DBP) were found, representing 86 and 85% of the intervention group having greater SBP or DBP changes, respectively, when compared with the control group.Remote patient monitoring technologies may represent a promising avenue for hypertension management. Future research is needed to evaluate the benefits in different disease-based patient subgroups.

Detailed understanding of impairments that underlie walking dysfunction through objective measures is essential to diagnosis, evaluation and care planning. Despite significant developments in motion tracking technologies, there is a dearth of research about the influence of remote monitoring context on performance. The objective of this study was to determine whether gait parameters collected by the OneStep smartphone application differ based on the recording condition.Retrospective repeated measures univariate analysis was performed on data extracted based on detected activity, either spontaneous (background recording) or consciously initiated (in app) walks, of 25 patients enrolled in a physical therapy program.Across 7227 walking bouts, significant differences between the two paradigms in velocity (g = 0.48), double support (g = 0.37), stride length (g = 0.37) and step length of the affected side (g = 0.32) were revealed. Overall, the passively recorded walks presented a less clinically favorable spatiotemporal pattern for each of these variables.The recording context of walks that were used for analysis appears to significantly affect the biomechanical output of the OneStep application. It is unclear whether the disparity found would impact functional recovery of individuals undergoing rehabilitation due to neurological or musculoskeletal disorder. Clinicians may consider this information when incorporating remotely-acquired quantitative gait analysis and interpreting care outcomes as part of therapeutic practice. Future work can further investigate the behavioral and environmental factors contributing to how movement occurs in specific clinical populations when monitored via mobile health systems.

INTRODUCTION Non-specific low back pain (LBP) is an idiopathic musculoskeletal condition that affects 4 out of 5 individuals in their lifetime and is the leading cause of job-related disability in the United States (US). The interest in interactive and dynamic telehealth treatments for LBP continues to grow, and it is important for the medical community to remain up-to-date on the state of the science. LITERATURE SURVEY Relevant studies published from March 2016 until March 2021 were identified through a systematic search of EMBASE, MedLine and Web of Science. The search strategy combined the concepts of back pain, telehealth and mobile applications. METHODOLOGY Titles and abstracts were screened to select full text randomized controlled trials or protocols and methodological quality and risk of bias was assessed using the Cochrane risk-of-bias tool. Data were synthesized narratively. SYNTHESIS We included seven concluded randomized controlled trials and two study protocols reporting mobile health (mHealth) solutions for LBP. Six of the seven concluded trials found a significant improvement in self-reported numerical pain rating scale compared to the control group. A single trial compared a mHealth solution to physical therapy, with the majority of studies comparing interventions to "usual care." Substantial heterogeneity in reporting of sample characteristics was found, indicating a lack of standardization through the field. CONCLUSIONS mHealth solutions may positively impact people with LBP. Larger trials should be encouraged and the field should coalesce around a set of baseline variables for collection and reporting. As many interventions involve patient engagement, future trials should aim to further quantify adherence levels and begin to define telehealth 'doses' associated with better outcomes. This article is protected by copyright. All rights reserved.

Background and Purpose— Hemispheric stroke studies associating lateropulsion (pusher syndrome) with the location of brain lesions have had mixed results from small, unmatched samples. This study was designed to determine whether lateropulsion localizes to specific brain regions across patients with stroke using a case-control design. Methods— Fifty patients with lateropulsion after stroke were matched with 50 stroke patients without lateropulsion using age, time since onset of stroke, admission motor Functional Independence Measure score, lesion side, and gender. The primary analysis included multivariate lesion symptom mapping using sparse canonical correlations to identify regions most associated with lateropulsion as assessed with the Burke Lateropulsion Scale. Secondary analyses included evaluating paired comparisons for lesion volume, degree of motor impairment, motor and cognitive Functional Independence Measure scores. Results— The lesion symptom mapping analysis of all lesions mapped onto a common hemisphere produced an overall significant model ( P –5 ) with a regional peak at the inferior parietal lobe at the junction of the post-central gyrus (Brodmann Area 2) and Brodmann Area 40 as the lesion location most associated with lateropulsion. Lesion volume was larger for patients with lateropulsion. Despite adequate matching, motor performance and total Functional Independence Measure scores differed at a group level between patients with and without lateropulsion. Conclusions— This analysis implicated lesion involvement of the inferior parietal lobe as a key neuroanatomical determinant of developing lateropulsion. A better understanding of the anatomic underpinnings of lateropulsion may improve rehabilitation efforts, including the potential for informing noninvasive neuromodulation approaches.

One important element for forming and cultivating a high performing team in any sport is player selection. For most professional sports, this is an intense period whereby coaching, performance, and administrative staff must work together and use collective wisdom to identify players who have the best probability of consistent high performance. The stakes of a draft are high: the wrong choice can be incredibly costly and impact a team's performance and culture for many years. This article identifies and details common features of the drafting procedure, followed by a discussion of best practices for structuring and executing a draft protocol.

This review presents a conceptual framework of burnout using models that have been developed throughout the years and provides the basis for the psychological measures used in clinical evaluations. Clinical gold standards, including the Athlete Burnout Questionnaire and the Maslach Burnout Inventory, are reviewed, compared, and contrasted. Because many of the interventional approaches to burnout are centered around the concept of motivation, organizational interventions are proposed using Self-Determination Theory and other models that promote motivation.

Background: Telehealth was frequently used in the provision of care and remote patient monitoring (RPM) during the COVID-19 pandemic. The Precision Recovery Program (PRP) remotely monitored and sup...

Objective The unique features of technological applications may improve the treatment of peopleat risk of suicide. In this article, we present feasibility and acceptability data as well as two case studies demonstrating the use of WellPATH, a tablet app that aims to help suicidal patients during emotionally-charged situations outside of therapy sessions. The WellPATH app was part of a 12-week psychotherapy intervention (CRISP- Cognitive Reappraisal Intervention for Suicide Prevention) for middle-aged and older adults after their discharge from a suicide-related hospitalization. Design The use of WellPATH includes three stages: preparation and practice, incorporation, and actual use. Measurements Feasibility was measured by the overall use of WellPATH during twelve weeks, and acceptability was measured with the three items of the Client Satisfaction Questionnaire. Results Twelve study participants were administered WellPATH as part of CRISP. The results provide preliminary evidence of feasibility and acceptability of WellPATH. Study participants and therapists reported high satisfaction with WellPATH and provided feedback for further research and development. The patients in the case studies reported a reduction in negative emotions and an increase in emotion regulation (i.e., cognitive reappraisal ability) after using techniques on the WellPATH app. Conclusions Our preliminary findings suggest that use of technology applications such as the WellPATH app is feasible and accepted among middle-aged and older adults at high suicide risk . Further research with an adequately powered sample is needed to further evaluate WellPATH's feasibility and accessibility, and test its efficacy with this high-risk population.

A portable system capable of measuring steady-state visual-evoked potentials (SSVEP) was developed to provide an objective, quantifiable method of electroencephalogram (EEG) testing following a traumatic event. In this study, the portable system was used on 65 healthy rugby players throughout a season to determine whether SSVEP are a reliable electrophysiological biomarker for concussion. Preceding the competition season, all players underwent a baseline SSVEP assessment. During the season, players were re-tested within 72 h of a match for either test-retest reliability or post-injury assessment. In the case of a medically diagnosed concussion, players were reassessed again once deemed recovered by a physician. The SSVEP system consisted of a smartphone housed in a VR-frame delivering a 15 Hz flicker stimulus, while a wireless EEG headset recorded occipital activity. Players were instructed to stare at the screen's fixation point while remaining seated and quiet. Electrodes were arranged according to the 10-20 EEG-positioning nomenclature, with O1-O2 being the recording channels while P1-P2 the references and bias, respectively. All EEG data was processed using a Butterworth bandpass filter, Fourier transformation, and normalization to convert data for frequency analysis. Players SSVEP responses were quantified into a signal-to-noise ratio (SNR), with 15 Hz being the desired signal, and summarized into respective study groups for comparison. Concussed players were seen to have a significantly lower SNR compared to their baseline; however, post-recovery, their SNR was not significantly different from the baseline. Test-retest indicated high device reliability for the portable system. An improved portable SSVEP system was also validated against an established EEG amplifier to ensure the investigative design is capable of obtaining research quality EEG measurements. This is the first study to identify differences in SSVEP responses in amateur athletes following a concussion and indicates the potential for SSVEP as an aid in concussion assessment and management.

ObjectiveTo evaluate the effect of intensive rehabilitation on the modified Rankin Scale (mRS), a measure of activities limitation commonly used in acute stroke studies, and to define the specific changes in body structure/function (motor impairment) most related to mRS gains.MethodsPatients were enrolled >90 days poststroke. Each was evaluated before and 30 days after a 6-week course of daily rehabilitation targeting the arm. Activity gains, measured using the mRS, were examined and compared to body structure/function gains, measured using the Fugl-Meyer (FM) motor scale. Additional analyses examined whether activity gains were more strongly related to specific body structure/function gains.ResultsAt baseline (160 ± 48 days poststroke), patients (n = 77) had median mRS score of 3 (interquartile range, 2–3), decreasing to 2 [2–3] 30 days posttherapy (p < 0.0001). Similarly, the proportion of patients with mRS score ≤2 increased from 46.8% at baseline to 66.2% at 30 days posttherapy (p = 0.015). These findings were accounted for by the mRS score decreasing in 24 (31.2%) patients. Patients with a treatment-related mRS score improvement, compared to those without, had similar overall motor gains (change in total FM score, p = 0.63). In exploratory analysis, improvement in several specific motor impairments, such as finger flexion and wrist circumduction, was significantly associated with higher likelihood of mRS decrease.ConclusionsIntensive arm motor therapy is associated with improved mRS in a substantial fraction (31.2%) of patients. Exploratory analysis suggests specific motor impairments that might underlie this finding and may be optimal targets for rehabilitation therapies that aim to reduce activities limitations.Clinical TrialClinicaltrials.gov identifier: NCT02360488.Classification of EvidenceThis study provides Class III evidence that for patients >90 days poststroke with persistent arm motor deficits, intensive arm motor therapy improved mRS in a substantial fraction (31.2%) of patients.

COVID survivors frequently experience lingering neurological symptoms that resemble cancer-therapy-related cognitive impairment, a syndrome for which white matter microglial reactivity and consequent neural dysregulation is central. Here, we explored the neurobiological effects of respiratory SARS-CoV-2 infection and found white-matter-selective microglial reactivity in mice and humans. Following mild respiratory COVID in mice, persistently impaired hippocampal neurogenesis, decreased oligodendrocytes, and myelin loss were evident together with elevated CSF cytokines/chemokines including CCL11. Systemic CCL11 administration specifically caused hippocampal microglial reactivity and impaired neurogenesis. Concordantly, humans with lasting cognitive symptoms post-COVID exhibit elevated CCL11 levels. Compared with SARS-CoV-2, mild respiratory influenza in mice caused similar patterns of white-matter-selective microglial reactivity, oligodendrocyte loss, impaired neurogenesis, and elevated CCL11 at early time points, but after influenza, only elevated CCL11 and hippocampal pathology persisted. These findings illustrate similar neuropathophysiology after cancer therapy and respiratory SARS-CoV-2 infection which may contribute to cognitive impairment following even mild COVID.

Introduction: To evaluate if the offering of Fitbit technology led to changes in cardiovascular health metrics in a cohort of older adults. Methods: A retrospective cohort study was developed in two community-embedded health monitoring sites, located in aggregate housing communities for older adults in Westchester County, NY. Participants included older adults (55 years or older) enrolled in the Telehealth Intervention Programs for Seniors (TIPS) initiative, a community-embedded remote patient monitoring initiative. Weekly blood pressure, heart rate, weight, and blood oxygenation were taken on all participants. For participants who accepted a Fitbit Zip device, a weekly step count was also collected. Results: Ninety-four TIPS participants were offered Fitbit technology. Thirty participants accepted the technology and used it for a minimum of 6 months. No significant differences in any of the regularly acquired biometrics were noted between Fitbit users and non-Fitbit users. Across all participants, regardless of Fitbit use, there was a significant decrease in systolic blood pressure (SBP) over time. Conclusions: Neither Fitbit Zip ownership or compliance to Fitbit Zip usage influenced any of the biometrics taken as part of the TIPS. However, participation in the TIPS initiative may have an overall positive effect on SBP in older adults.

Mobility after spinal cord injury (SCI) is among the top goals of recovery and improvement in quality of life. Those with tetraplegia rank hand function as the most important area of recovery in their lives, and those with paraplegia, walking. Without hand function, emphasis in rehabilitation is placed on accessing one’s environment through technology. However, there is still much reliance on caretakers for many activities of daily living. For those with paraplegia, if incomplete, orthoses exist to augment walking function, but they require a significant amount of baseline strength and significant energy expenditure to use. Options for those with motor complete paraplegia have traditionally been limited to the wheelchair. While wheelchairs provide a modified level of independence, wheelchair users continue to face difficulties in access and mobility. In the past decade, research in SCI rehabilitation has expanded to include external motorized or robotic devices that initiate or augment movement. These robotic devices are used with 2 goals: to enhance recovery through repetitive, functional movement and increased neural plasticity and to act as a mobility aid beyond orthoses and wheelchairs. In addition, lower extremity exoskeletons have been shown to provide benefits to the secondary medical conditions after SCI such as pain, spasticity, decreased bone density, and neurogenic bowel. In this review, we discuss advances in robot-guided rehabilitation after SCI for the upper and lower extremities, as well as potential adjuncts to robotics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13311-018-0642-3) contains supplementary material, which is available to authorized users.

Middle-aged and older adults constitute a high suicide risk group. Among adults aged 50 years old and older, suicide rates increased and suicide deaths almost doubled during the period from 2000 to 2015. Suicide rates are elevated for patients hospitalized for suicidality (i.e. active suicidal ideation or suicide attempt) and the three months post-hospitalization is the time of the highest suicide risk. Psychosocial interventions for middle-aged and older adults hospitalized for suicidality are sparse. In this article, we present the main aspects, stages, techniques and a clinical case study of Cognitive Reappraisal Intervention for Suicide Prevention (CRISP), a psychosocial intervention targeting cognitive reappraisal to reduce suicide risk in middle-aged and older adults who have been recently hospitalized for suicidal ideation or suicide attempt. CRISP is based on the theory that hospitalization for suicidality is preceded by an emotional crisis (“perfect storm”); this emotional crisis is related to personalized (patient- and situation-specific) triggers; and identifying these personalized triggers and the associated negative emotions and providing strategies for an adaptive response to these triggers and negative emotions will reduce suicidal ideation and improve suicide prevention. CRISP therapists identify these triggers of negative emotions and employ cognitive reappraisal techniques to reduce these negative emotions. The cognitive reappraisal techniques have been selected from different psychosocial interventions and the affective neuroscience literature and have been simplified for use with middle-aged and older adults. CRISP may fill a treatment need for the post-discharge high risk period for middle-aged and older adults hospitalized for suicidality.

Upper limb impairment in the chronic phase of stroke recovery is persistent, disabling, and difficult to treat. The objectives of this study were to determine whether therapeutic enjoyment is related to clinical improvement after upper limb rehabilitation and to assess the feasibility of a therapy gaming system.Ten chronic stroke survivors with persistent upper limb impairment were enrolled in the study. Upper limb impairment was evaluated by using the Fugl-Meyer Assessment of Upper Extremity Function (FMA-UE). The Physical Activity Enjoyment Scale (PACES) assessed the level of therapy enjoyment, and the System Usability Scale (SUS) measured the ease of operation of the game. Upper limb therapy involved 30 minutes of novel digital gaming therapy, three times per week, for 6 weeks.The average improvement in the FMA-UE after the digital gaming therapy was 2.8 (±2.1) points. Participants scored the digital gaming system as having good usability (SUS: 72 ± 7.9), and the physical activity as enjoyable (PACES: 65.8 ± 10.6). There was a strong positive correlation between improvement in the FMA-UE score and the PACES (Spearman's Rho = 0.84; P 0.002).This pilot study demonstrates the feasibility and potential for improvements in upper limb motor function by using digital gaming in the chronic stroke patient population. The positive correlation found between therapy enjoyment and clinical gains highlights the importance of engagement in therapy to optimize outcomes in chronic stroke survivors.

The objective of this study was to assess whether the novel application of a machine learning approach to data collected from the Microsoft Kinect 2 (MK2) could be used to classify differing levels of upper limb impairment. Twenty-four healthy subjects completed items of the Wolf Motor Function Test (WMFT), which is a clinically validated metric of upper limb function for stroke survivors. Subjects completed the WMFT three times: 1) as a healthy individual; 2) emulating mild impairment; and 3) emulating moderate impairment. A MK2 was positioned in front of participants, and collected kinematic data as they completed the WMFT. A classification framework, based on Riemannian geometry and the use of covariance matrices as feature representation of the MK2 data, was developed for these data, and its ability to successfully classify subjects as either "healthy," "mildly impaired," or "moderately impaired" was assessed. Mean accuracy for our classifier was 91.7%, with a specific accuracy breakdown of 100%, 83.3%, and 91.7% for the "healthy," "mildly impaired," and "moderately impaired" conditions, respectively. We conclude that data from the MK2 is of sufficient quality to perform objective motor behavior classification in individuals with upper limb impairment. The data collection and analysis framework that we have developed has the potential to disrupt the field of clinical assessment. Future studies will focus on validating this protocol on large populations of individuals with actual upper limb impairments in order to create a toolkit that is clinically validated and available to the clinical community.

Background:Chronic disease in older adults is estimated to account for 84% of annual health care spending in the United States, with many preventable costs expected to rise as the population continues to age. Introduction:Telehealth Intervention Programs for Seniors (TIPS) is a community-embedded program targeting low-income older adults, providing weekly assessment of vital signs and subjective wellness, and wrap-around aging services. Materials and Methods:TIPS recruited 765 volunteers over 55 years, who were Medicaid and/or Medicare eligible. Data were collected from 2014 to 2016 [median enrollment 343 days (105–435)] using 12 TIPS sites. This observational study evaluated the efficacy of TIPS by measuring within-subject changes in self-reported hospital visits and

Background Respiratory exacerbations impair lung function and health-related quality of life in people with CF, with delayed identification of exacerbations often resulting in worse outcomes. We developed a smartphone application (app) for adults with CF to report symptoms to the CF team, and investigated its impact on antibiotic use and other outcomes. Methods Participants were randomised to intervention (use of the app weekly or sooner if symptoms had worsened) or control (usual care). The app comprised questions relating to symptoms suggestive of an exacerbation. If worsening symptoms were reported, the participant was contacted by the nurse practitioner. The primary outcome measure was the number of courses and days of intravenous (IV) antibiotics. Results Sixty participants (29 female, aged [mean ± SD] 31 ± 9 years, FEV1 60 ± 18% predicted) were recruited, with 29 (48%) allocated to the intervention group. Over the 12-month follow-up, there was no clear effect of the app on the number of courses of IV antibiotics (incidence rate ratio [IRR] 1; 95% confidence interval [CI] 0.6 to 1.7), however number of courses of oral antibiotics increased (IRR 1.5; 95% CI 1.0 to 2.2). The median [IQR] time to detection of exacerbation requiring oral or IV antibiotics was shorter in the intervention group compared with the control group (70 [123] vs. 141 [140] days; p = .02). No between-group differences were observed in other outcomes. Conclusion The use of an app reduced time to detect respiratory exacerbations that required antibiotics, however did not demonstrate a clear effect on the number of courses of IV antibiotics.

IMPORTANCE: Many patients receive suboptimal rehabilitation therapy doses after stroke owing to limited access to therapists and difficulty with transportation, and their knowledge about stroke is often limited. Telehealth can potentially address these issues. OBJECTIVES: To determine whether treatment targeting arm movement delivered via a home-based telerehabilitation (TR) system has comparable efficacy with dose-matched, intensity-matched therapy delivered in a traditional in-clinic (IC) setting, and to examine whether this system has comparable efficacy for providing stroke education. DESIGN, SETTING, AND PARTICIPANTS: In this randomized, assessor-blinded, noninferiority trial across 11 US sites, 124 patients who had experienced stroke 4 to 36 weeks prior and had arm motor deficits (Fugl-Meyer [FM] score, 22-56 of 66) were enrolled between September 18, 2015, and December 28, 2017, to receive telerehabilitation therapy in the home (TR group) or therapy at an outpatient rehabilitation therapy clinic (IC group). Primary efficacy analysis used the intent-to-treat population. INTERVENTIONS: Participants received 36 sessions (70 minutes each) of arm motor therapy plus stroke education, with therapy intensity, duration, and frequency matched across groups. MAIN OUTCOMES AND MEASURES: Change in FM score from baseline to 4 weeks after end of therapy and change in stroke knowledge from baseline to end of therapy. RESULTS: A total of 124 participants (34 women and 90 men) had a mean (SD) age of 61 (14) years, a mean (SD) baseline FM score of 43 (8) points, and were enrolled a mean (SD) of 18.7 (8.9) weeks after experiencing a stroke. Among those treated, patients in the IC group were adherent to 33.6 of the 36 therapy sessions (93.3%) and patients in the TR group were adherent to 35.4 of the 36 assigned therapy sessions (98.3%). Patients in the IC group had a mean (SD) FM score change of 8.36 (7.04) points from baseline to 30 days after therapy (P

Emerging literature suggests that virtual reality (VR) may be a viable therapy for neuropathic pain (NP). This pilot study aimed to investigate the immediate effect of VR in reducing NP in people with spinal cord injury (SCI). Eight individuals with chronic NP after SCI were recruited and underwent consecutive exposure to scenery and somatic virtual environments (VE). The numeric rating scale (NRS) was used to assess pain before and after exposure to each VE. The Immersive Tendencies Questionnaire (ITQ) and Presence Questionnaire (UQO-PQ) were used to investigate the interaction between reported pain relief post-intervention with immersion and presence. There was a significant reduction in pain levels (5.1 ± 0.4, mean ± SEM) after short exposure to the scenery (3.1 ± 0.7, p = 0.04) and somatic VE (3.0 ± 0.7, p = 0.04), with no difference between intervention types (p = 0.56). There was a statistically significant negative correlation between the total ITQ score and the change in NRS after the scenery VR intervention (rs = 0.743, p = 0.035). PQ scores showed no significant correlation with changes in pain following either intervention type. We found that short-term exposure to VR environments results in a reduction in chronic NP intensity in people with SCI.

Current methods of balance assessment in the clinical environment are often subjective, time-consuming and lack clinical relevance for non-ambulatory older adults. The objective of this study was to develop a novel method of balance assessment that utilizes data collected using the Microsoft Kinect 2 to create a Berg Balance Scale score, which is completely determined by statistical methods rather than by human evaluators. 74 older adults, both healthy and balance impaired, were recruited for this trial. All participants completed the Berg Balance Scale (BBS) which was scored independently by trained physical therapists. Participants then completed the items of the “Modified Berg Balance Scale” in front of the Microsoft Kinect camera. Kinematic data collected during this measurement was used to train a feed-forward neural network that was used to assign a Berg Balance Scale score. The neural network model estimated the clinician-assigned BBS score to within a median of 0.93 points for the participants in our sample population (range: 0.02–5.69). Using low-cost depth sensing camera technology and a clinical protocol that takes less than 5 min to complete in both ambulatory and non-ambulatory older adults, the method outlined in this manuscript can accurately predict a participant’s BBS score and thereby identify whether they are deemed a high fall risk or not. If implemented correctly, this could enable fall prevention services to be deployed in a timely fashion using low-cost, accessible technology, resulting in improved safety of older adults.

Introduction In cystic fibrosis, exacerbations impair lung function and health-related quality of life, increase healthcare costs and reduce survival. Delayed reporting of worsening symptoms can result in more severe exacerbations and worse clinical outcomes; therefore there is a need for a novel approach to facilitate the early identification and treatment of exacerbations in this population. This study investigated the usability of a smartphone application to report symptoms in adults with cystic fibrosis, and the observer agreement in clinical decision-making between senior clinicians interpreting smartphone application responses. Methods Adults with cystic fibrosis used the smartphone application weekly for four weeks. The application comprised 10 yes/no questions regarding respiratory symptoms and two regarding emotional well-being. Usability was measured with the System Usability Scale; Observer agreement was tested by providing a cystic fibrosis physician and a nurse practitioner with 45 clinical scenarios. For each scenario the clinicians, who were blinded to each other's responses, were asked to indicate whether or not they would: (i) initiate telephone contact, and/or (ii) request a clinic visit for the individual. Results Ten participants (five female), aged mean (SD) 33 (11) years, FEV1 49 (27)% predicted completed the study. The mean (SD) System Usability Scale score was 94 (6). There was perfect agreement between clinicians for initiating contact with the participant ( κ = 1.0, p Discussion The use of a smartphone application for reporting symptoms in adults with cystic fibrosis has excellent usability and near-perfect agreement between senior clinicians when interpreting the application responses.

Stroke is the leading cause of permanent motor disability in the United States, and the rapidly aging population makes finding large-scale treatment solutions to this problem a national priority. Telerehabilitation is an emerging approach that is being used for the effective treatment of multiple diseases, and is beginning to show promise for stroke. The purpose of this review is to identify and highlight the areas of telerehabilitation that require the most research attention.Although there are many different forms of telerehabilitation approaches being attempted for stroke, the only approach that is currently showing moderate-strong evidence for efficacy is videogame-driven telerehabilitation (VGDT). However, targeted research is still required to determine the feasibility of VGDT: metrics regarding system usability, cost-effectiveness, and data privacy concerns still require major attention.VGDT is an emerging approach that shows enormous promise for stroke rehabilitation. Future studies should focus less on developing custom task controllers and therapy games and more on developing innovative, online data acquisition and analytics pipelines, as well as understanding the patient population so that the rehabilitation experience can be better customized.

Objective To examine the relationship of negative emotions with suicidal ideation during 12 weeks of Problem Adaptation Therapy (PATH) versus Supportive Therapy of Cognitively Impaired Older Adults (ST-CI), hypothesizing that improved negative emotions are associated with reduced suicidal ideation, PATH improves negative emotions more than ST-CI, and improved negative emotions, rather than other depression symptoms, predict reduction in suicidal ideation. Methods In a randomized controlled trial of two home-delivered psychosocial interventions, 74 older participants (65–95 years old) with major depressive disorder and cognitive impairment were recruited in collaboration with community agencies. The sample reported less intense feelings than suicidal intention. Interventions and assessments were conducted in participants' homes. PATH focuses on improving emotion regulation, whereas ST-CI focuses on nonspecific therapeutic factors, such as understanding and empathy. Improved negative emotions were measured as improvement in Montgomery Asberg's Depression Rating Scales' (MADRS) observer ratings of sadness, anxiety, guilt, hopelessness, and anhedonia. Suicidal ideation was assessed with the MADRS Suicide Item. Results MADRS Negative Emotions scores were significantly associated with suicidal ideation during the course of treatment (F [1,165] = 12.73, p = 0.0005). PATH participants had significantly greater improvement in MADRS emotions than ST-CI participants (treatment group by time: F [1,63.2] = 7.02, p = 0.0102). Finally, improved negative emotions, between lagged and follow-up interview, significantly predicted reduction in suicidal ideation at follow-up interview (F [1, 96] = 9.95, p = 0.0022). Conclusion Findings thatimprovement in negative emotions mediates reduction in suicidal ideation may guide the development of psychosocial interventions for reduction of suicidal ideation (clinicaltrials.gov; NCT00368940).

The objective of this study was to determine whether kinematic data collected by the Microsoft Kinect 2 (MK2) could be used to quantify postural stability in healthy subjects. Twelve subjects were recruited for the project, and were instructed to perform a sequence of simple postural stability tasks. The movement sequence was performed as subjects were seated on top of a force platform, and the MK2 was positioned in front of them. This sequence of tasks was performed by each subject under three different postural conditions: "both feet on the ground" (1), "One foot off the ground" (2), and "both feet off the ground" (3). We compared force platform and MK2 data to quantify the degree to which the MK2 was returning reliable data across subjects. We then applied a novel machine-learning paradigm to the MK2 data in order to determine the extent to which data from the MK2 could be used to reliably classify different postural conditions. Our initial comparison of force plate and MK2 data showed a strong agreement between the two devices, with strong Pearson correlations between the trunk centroids "Spine_Mid" (0.85 ± 0.06), "Neck" (0.86 ± 0.07) and "Head" (0.87 ± 0.07), and the center of pressure centroid inferred by the force platform. Mean accuracy for the machine learning classifier from MK2 was 97.0%, with a specific classification accuracy breakdown of 90.9%, 100%, and 100% for conditions 1 through 3, respectively. Mean accuracy for the machine learning classifier derived from the force platform data was lower at 84.4%. We conclude that data from the MK2 has sufficient information content to allow us to classify sequences of tasks being performed under different levels of postural stability. Future studies will focus on validating this protocol on large populations of individuals with actual balance impairments in order to create a toolkit that is clinically validated and available to the medical community.

Introduction In people with cystic fibrosis (CF), exacerbations have been shown to have profound and prolonged negative effects such as reducing physical activity and health-related quality of life, increasing the rate of decline of lung function and healthcare costs, and ultimately increasing the risk of mortality. Delayed initiation of treatment following the signs of an exacerbation has been shown to be associated with failure to recover to baseline. Therefore, the late identification and treatment of an exacerbation due to delayed presentation will potentially worsen short-term and long-term outcomes. We have developed a smartphone application, containing questions which require yes or no responses relating to symptoms suggestive of a respiratory exacerbation. Its use is intended to facilitate the early identification of symptoms suggestive of a respiratory exacerbation, and allow the CF team to initiate treatment sooner, thereby potentially reducing the risk of severe exacerbations which require intravenous antibiotics (IVAB) and often a hospital admission. Methods We will undertake a randomised controlled trial. 60 adults with CF will be recruited and randomised to either the intervention or control group. The intervention group will use the smartphone application weekly for 12 months, or earlier than the next weekly reporting time if they feel their symptoms have worsened. The control group will continue to receive usual care, involving regular (approximately 3 monthly) CF outpatient clinic appointments. The primary outcome measure will be courses and days of IVAB. Ethics and dissemination Approval was obtained from the Sir Charles Gairdner Group Human Research Ethics Committee for WA Health (2015-030) and Curtin University Human Research Ethics Committee (HR212/2015), and has been registered with the Australian and New Zealand Clinical Trials Registry. Results of this study will be presented at international conferences and published in peer-reviewed journals in accordance with the Consolidated Standards of Reporting Trials statement. Trial registration number ACTRN12615000599572.

The authors tested the hypothesis that wrist-worn actimeters can quantify the severity of poststroke apathy. The authors studied 57 patients admitted to an acute rehabilitation unit for ischemic or hemorrhagic stroke. After accounting for motor deficit of the affected arm and accounting for age, each increment of the Apathy Inventory score correlated with 5.6 fewer minutes of moving per hour. The overall statistical model had an R(2) of only 0.34, suggesting unexplained factors for total movement time. Wrist-worn actimeters may serve as an objective, quantifiable measure of poststroke apathy in patients with an intact upper extremity but cannot be used alone to diagnose apathy.

The Leap Motion Controller (LMC) is a low-cost, markerless motion capture device that tracks hand, wrist and forearm position. Integration of this technology into healthcare applications has begun to occur rapidly, making validation of the LMC׳s data output an important research goal. Here, we perform a detailed evaluation of the kinematic data output from the LMC, and validate this output against gold-standard, markered motion capture technology. We instructed subjects to perform three clinically-relevant wrist (flexion/extension, radial/ulnar deviation) and forearm (pronation/supination) movements. The movements were simultaneously tracked using both the LMC and a marker-based motion capture system from Motion Analysis Corporation (MAC). Adjusting for known inconsistencies in the LMC sampling frequency, we compared simultaneously acquired LMC and MAC data by performing Pearson׳s correlation (r) and root mean square error (RMSE). Wrist flexion/extension and radial/ulnar deviation showed good overall agreement (r=0.95; RMSE=11.6°, and r=0.92; RMSE=12.4°, respectively) with the MAC system. However, when tracking forearm pronation/supination, there were serious inconsistencies in reported joint angles (r=0.79; RMSE=38.4°). Hand posture significantly influenced the quality of wrist deviation (P

A major challenge facing the development of high degree of freedom (DOF) brain machine interface (BMI) devices is a limited ability to provide prospective users with independent control of many DOFs when using a complex prosthesis. It has been previously shown that a large range of complex hand postures can be replicated using a relatively low number of movement synergies. Thus, a high DOF joint space, such as the one the hand resides in, may be decomposed via principal component analysis (PCA) into a lower DOF (eigen-reach) space that contains most of the variance of the original movements. By decoding in this eigen-reach space, BMI users need only control a few eigen-reach values to be able to make movements using all DOFs in the arm and hand. In this paper we examine how using PCA before decoding neural activity may lead to improvements in decoding performance.

A major goal for brain machine interfaces is to allow patients to control prosthetic devices with high degrees of independent movements. Such devices like robotic arms and hands require this high dimensionality of control to restore the full range of actions exhibited in natural movement. Current BMI strategies fall well short of this goal allowing the control of only a few degrees of freedom at a time. In this paper we present work towards the decoding of 27 joint angles from the shoulder, arm and hand as subjects perform reach and grasp movements. We also extend previous work in examining and optimizing the recording depth of electrodes to maximize the movement information that can be extracted from recorded neural signals.