1. Surrogates for rigidity and PIGD MDS-UPDRS subscores using wearable sensors
- Author
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Patricia Carlson-Kuhta, Lauren Talman, Martina Mancini, Delaram Safarpour, Fay B. Horak, Vrutangkumar V. Shah, and Marian L. Dale
- Subjects
medicine.medical_specialty ,business.industry ,Mds updrs ,Rehabilitation ,Biophysics ,Postural instability ,Wearable computer ,Parkinson Disease ,Rigidity (psychology) ,Article ,Wearable Electronic Devices ,Physical medicine and rehabilitation ,Gait (human) ,Correlation analysis ,Humans ,Medicine ,Orthopedics and Sports Medicine ,Gait difficulty ,business ,Gait ,Postural Balance ,Gait Disorders, Neurologic ,Balance (ability) - Abstract
BACKGROUND: Telemedicine has the advantage of expanding access to care for patients with Parkinson’s Disease (PD). However, rigidity and postural instability in PD are difficult to measure remotely, and are important measures of functional impairment and fall risk. RESEARCH QUESTION: Can measures from wearable sensors be used as future surrogates for the MDS-UPDRS rigidity and Postural Instability and Gait Difficulty (PIGD) subscores? METHODS: Thirty-one individuals with mild to moderate PD wore 3 inertial sensors at home for one week to measure quantity and quality of gait and turning in daily life. Separately, we performed a clinical assessement and balance characterization of postural sway with the same wearable sensors in the laboratory (On medication). We then first performed a traditional correlation analysis between clinical scores and objective measures of gait and balance followed by multivariable linear regression employing a best subset selection strategy. RESULTS: The number of walking bouts and turns correlated significantly with the rigidity subscore, while the number of turns, foot pitch angle, and sway area while standing correlated significantly with the PIGD subscore (p
- Published
- 2022
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