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227 results on '"Pirbhulal, Sandeep"'

201. Influencing Factors for Users’ Privacy and Security Protection Behavior in Smart Speakers: Insights from a Swiss User Study

Author

Ebbers, Frank, Karaboga, Murat, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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202. Solutions for Protecting the Space Ground Segments: From Risk Assessment to Emergency Response

Author

Gkotsis, Ilias, Perlepes, Leonidas, Aggelis, Aggelos, Valouma, Katerina, Kostaridis, Antonis, Georgiou, Eftichia, Lalazisis, Nikolaos, Mantzana, Vasiliki, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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203. Rebooting IT Security Awareness – How Organisations Can Encourage and Sustain Secure Behaviours

Author

Sasse, M. Angela, Hielscher, Jonas, Friedauer, Jennifer, Buckmann, Annalina, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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204. Modelling and Simulation of Railway Networks for Resilience Analysis

Author

Srivastava, Kushal, Köpke, Corinna, Walter, Johannes, Faist, Katja, Berry, John Marschalk, Porretti, Claudio, Stolz, Alexander, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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205. ComSEC: Secure Communications for Baggage Handling Systems

Author

Apolinário, Filipe, Guiomar, João, Hervé, Éric, Hrastnik, Sven, Escravana, Nelson, Pardal, Miguel L., Correia, Miguel, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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206. HoneyChart: Automated Honeypot Management over Kubernetes

Author

Kokolakis, George, Ntousakis, Grigoris, Karatsoris, Irodotos, Antonatos, Spiros, Athanatos, Manos, Ioannidis, Sotiris, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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207. Towards a Security Impact Analysis Framework: A Risk-Based and MITRE Attack Approach

Author

Belfadel, Abdelhadi, Boyer, Martin, Letailleur, Jérôme, Petiot, Yohann, Yaich, Reda, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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208. Data Protection Officers’ Perspectives on Privacy Challenges in Digital Ecosystems

Author

Wiefling, Stephan, Tolsdorf, Jan, Lo Iacono, Luigi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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209. OntoCyrene: Towards Ontology-Enhanced Asset Modelling for Supply Chains in the Context of Cyber Security

Author

Heydari, Mohammad, Mouratidis, Haralambos, Tafreshi, Vahid Heydari Fami, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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210. Adversarial Attacks and Mitigations on Scene Segmentation of Autonomous Vehicles

Author

Zhu, Yuqing, Adepu, Sridhar, Dixit, Kushagra, Yang, Ying, Lou, Xin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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211. Cybersecurity Awareness for Small and Medium-Sized Enterprises (SMEs): Availability and Scope of Free and Inexpensive Awareness Resources

Author

Chaudhary, Sunil, Gkioulos, Vasileios, Goodman, David, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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212. Coordinated Network Attacks on Microgrid Dispatch Function: An EPIC Case Study

Author

Saifuddin, Muhammad Ramadan, Wei, Lin, Tan, Heng Chuan, Chen, Binbin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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213. Threat Sensitive Networking: On the Security of IEEE 802.1CB and (un)Effectiveness of Existing Security Solutions

Author

de Vos, Adriaan, Brighente, Alessandro, Conti, Mauro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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214. Towards Comprehensive Modeling of CPSs to Discover and Study Interdependencies

Author

Akbarzadeh, Aida, Katsikas, Sokratis, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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215. A Framework for Developing Tabletop Cybersecurity Exercises

Author

Chowdhury, Nabin, Gkioulos, Vasileios, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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216. Correction to: The Effects of the Russo-Ukrainian War on Network Infrastructures Through the Lens of BGP

Author

Tsiatsikas, Zisis, Karopoulos, Georgios, Kambourakis, Georgios, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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217. Correction to: Measuring the Adoption of TLS Encrypted Client Hello Extension and Its Forebear in the Wild

Author

Tsiatsikas, Zisis, Karopoulos, Georgios, Kambourakis, Georgios, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Katsikas, Sokratis, editor, Cuppens, Frédéric, editor, Kalloniatis, Christos, editor, Mylopoulos, John, editor, Pallas, Frank, editor, Pohle, Jörg, editor, Sasse, M. Angela, editor, Abie, Habtamu, editor, Ranise, Silvio, editor, Verderame, Luca, editor, Cambiaso, Enrico, editor, Maestre Vidal, Jorge, editor, Sotelo Monge, Marco Antonio, editor, Albanese, Massimiliano, editor, Katt, Basel, editor, Pirbhulal, Sandeep, editor, and Shukla, Ankur, editor

Published
2023
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218. A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks.

Author

Muzammal, Muhammad, Talat, Romana, Sodhro, Ali Hassan, and Pirbhulal, Sandeep

Subjects
*BODY sensor networks, *MULTISENSOR data fusion, *WIRELESS sensor networks
Abstract

• We consider daily activity data from multiple sensor for activity recognition. • The data from multiple sensors is fused and input to the ensembles for disease prediction. • The ensembles work in a fog computing environment and the results are unified on cloud. • The prediction task is performed using kernel random forest in a fog computing environment. Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing, storage, computation, and transmission capabilities. When data is obtained from multiple devices, multi-sensor fusion is desirable to transform potentially erroneous sensor data into high quality fused data. In this work, a data fusion enabled Ensemble approach is proposed to work with medical data obtained from BSNs in a fog computing environment. Daily activity data is obtained from a collection of sensors which is fused together to generate high quality activity data. The fused data is later input to an Ensemble classifier for early heart disease prediction. The ensembles are hosted in a Fog computing environment and the prediction computations are performed in a decentralised manners. The results from the individual nodes in the fog computing environment are then combined to produce a unified output. For the classification purpose, a novel kernel random forest ensemble is used that produces significantly better quality results than random forest. An extensive experimental study supports the applicability of the solution and the obtained results are promising, as we obtain 98% accuracy when the tree depth is equal to 15, number of estimators is 40, and 8 features are considered for the prediction task. [ABSTRACT FROM AUTHOR]

Published
2020
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219. A comparative study of motion recognition methods for efficacy assessment of upper limb function.

Author

He, Jie, Chen, Shaofa, Guo, Zhexiao, Pirbhulal, Sandeep, Wu, Wanqing, Feng, Jialing, and Dan, Guo

Subjects
*ARM, *MOTION
Abstract

Summary: Physical disorders are considered to be the most severe disability in patients with hemiplegia after stroke. Currently, most studies have used motion feature extraction methods and machine learning–based methods to evaluate the functional degree of post stroke in hemiplegic patients. This research collected feature data from patients under diverse experimental conditions and then fed them into different machine learning classifiers. However, few studies have compared which classifiers and experimental condition could achieve more precise assessments in a specific condition. In this paper, we compared the accuracy of four different classifiers in a conservative motion recognition method. A motion sensor was used for monitoring the upper limb action, and four conservative machine learning classifiers, which map the features to Fugl‐Meyer scale, were chosen for comparison. Ten post‐stroke hemiplegic‐simulated subjects performed a group of predefined actions, and these motion data were used to generate a group of features reflecting the information of each predefined action. We input the features into four classifiers to generate corresponding classifiers. With the Support Vector Machine classifier, prediction accuracy at 97.79% was achieved in the experiment data, which outperformed previous reports. In conclusion, Support Vector Machines perform better than the other three classifiers in the assessment of the degree of post‐stroke hemiplegics. It is encouraging that results have been generated with the proposed assessment method in this exploratory study. [ABSTRACT FROM AUTHOR]

Published
2019
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220. An Energy-Efficient Algorithm for Wearable Electrocardiogram Signal Processing in Ubiquitous Healthcare Applications.

Author

Sodhro, Ali Hassan, Sangaiah, Arun Kumar, Sodhro, Gul Hassan, Lohano, Sonia, and Pirbhulal, Sandeep

Subjects
*ELECTROCARDIOGRAPHY, *WEARABLE technology, *ENERGY consumption, *UBIQUITOUS computing, *MEDICAL care
Abstract

Rapid progress and emerging trends in miniaturized medical devices have enabled the un-obtrusive monitoring of physiological signals and daily activities of everyone’s life in a prominent and pervasive manner. Due to the power-constrained nature of conventional wearable sensor devices during ubiquitous sensing (US), energy-efficiency has become one of the highly demanding and debatable issues in healthcare. This paper develops a single chip-based wearable wireless electrocardiogram (ECG) monitoring system by adopting analog front end (AFE) chip model ADS1292R from Texas Instruments. The developed chip collects real-time ECG data with two adopted channels for continuous monitoring of human heart activity. Then, these two channels and the AFE are built into a right leg drive right leg drive (RLD) driver circuit with lead-off detection and medical graded test signal. Human ECG data was collected at 60 beats per minute (BPM) to 120 BPM with 60 Hz noise and considered throughout the experimental set-up. Moreover, notch filter (cutoff frequency 60 Hz), high-pass filter (cutoff frequency 0.67 Hz), and low-pass filter (cutoff frequency 100 Hz) with cut-off frequencies of 60 Hz, 0.67 Hz, and 100 Hz, respectively, were designed with bilinear transformation for rectifying the power-line noise and artifacts while extracting real-time ECG signals. Finally, a transmission power control-based energy-efficient (ETPC) algorithm is proposed, implemented on the hardware and then compared with the several conventional TPC methods. Experimental results reveal that our developed chip collects real-time ECG data efficiently, and the proposed ETPC algorithm achieves higher energy savings of 35.5% with a slightly larger packet loss ratio (PLR) as compared to conventional TPC (e.g., constant TPC, Gao’s, and Xiao’s methods). [ABSTRACT FROM AUTHOR]

Published
2018
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221. Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things.

Author

Lakhan A, Dootio MA, Sodhro AH, Pirbhulal S, Groenli TM, Khokhar MS, and Wang L

Subjects
Computer Security, Delivery of Health Care, Humans, Blockchain, Internet of Things
Abstract

These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare fog servers. The hospitals are geographically distributed and offer different services to the patients from any ubiquitous network. However, due to the full offloading of data to the insecure servers, two main challenges exist in the IoMT network. (i) Data security of workflows healthcare applications between different fog healthcare nodes. (ii) The cost-efficient and QoS efficient scheduling of healthcare applications in the IoMT system. This paper devises the Cost-Efficient Service Selection and Execution and Blockchain-Enabled Serverless Network for Internet of Medical Things system. The goal is to choose cost-efficient services and schedule all tasks based on their QoS and minimum execution cost. Simulation results show that the proposed outperform all existing schemes regarding data security, validation by 10%, and cost of application execution by 33% in IoMT.

Published
2021
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222. Spatio-Temporal Based Descriptor for Limb Movement-Intent Characterization in EMG-Pattern Recognition System.

Author

Samuel OW, Grace Asogbon M, Geng Y, Li X, Pirbhulal S, Chen S, Ganesh N, Feng P, and Li G

Subjects
Algorithms, Humans, Robotics, Spatio-Temporal Analysis, Amputees, Artificial Limbs, Electromyography, Movement, Pattern Recognition, Automated
Abstract

Electromyogram (EMG) pattern-recognition (PR) is the most widely adopted prostheses/rehabilitation robots control method that seamlessly support multi-degrees of freedom (MDF) function in an intuitive fashion. The feature extraction framework applied in such PR-based control essentially determines the control performance of the prosthetic device. Based on the drawbacks of the commonly utilized feature extraction methods, this study proposed a spatio-temporal-based feature set (STFS) that might optimally characterize EMG signal patterns even in the presence of white Gaussian noise (WGN) to realize consistently accurate and stable decoding of multiple classes of limb-movements. For benchmark evaluation, the performance of the proposed STFS method was examined in comparison to notable existing popular methods using high density surface EMG recordings from 8 amputees, with metrics such as classification error (CE) and feature-space separability index. Compared to the existing methods, the STFS recorded substantial reduction of up 16.73% even in the presence the inevitable WGN at p<; 0.05. Also, with principal component analysis concept, the proposed STFS feature-space indicates obvious class separability compared to the previous methods. Therefore, the newly proposed STFS method could potentially facilitate the realization of consistently accurate and reliable PR-based control for MDF prostheses/rehabilitation robots.

Published
2019
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223. Quantitative Assessment for Self-Tracking of Acute Stress Based on Triangulation Principle in a Wearable Sensor System.

Author

Wu W, Pirbhulal S, Zhang H, and Mukhopadhyay SC

Subjects
Adult, Cluster Analysis, Female, Heart Rate physiology, Humans, Hydrocortisone analysis, Male, Models, Biological, Saliva chemistry, Self Care, Young Adult, Monitoring, Ambulatory instrumentation, Monitoring, Ambulatory methods, Signal Processing, Computer-Assisted, Stress, Psychological classification, Stress, Psychological diagnosis, Stress, Psychological physiopathology, Wearable Electronic Devices
Abstract

Due to the variation in factors surrounding humans, the physiological impact of stress is reported to be different for each individual. Thus, an efficient stress monitoring system needs to assess both the physiological and psychological impact of stress on individual basis and translate these assessments into an accurate quantitative metric that is of value to the individual. Therefore, this study proposed a logistic regression based model that integrates data from psychological Stress Response Inventory, biochemical (salivary cortisol), and physiological (HRV measures) domains via a principle of triangulation for achieving high reliability and consistency during stress assessment. With the proposed model, a mental stress index (MSI) based on the correlation between salivary cortisol and HRV time-/frequency-domain features were established. A total of 30 college students were recruited to verify the feasibility of proposed method by identifying targeted stressful event. The obtained results reveal that MSI values were sensitive to acute stress, and could predict the association level of normal individual to a stress group with approximately 97% accuracy. Findings from this study could provide potential insight on self-tracking and training of individual's stress with adoption of wearable sensor system in a dynamic setting.

Published
2019
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224. Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks.

Author

Pirbhulal S, Zhang H, Wu W, Mukhopadhyay SC, and Zhang YT

Subjects
Adult, Algorithms, Humans, Male, Electrocardiography methods, Heart Rate physiology, Pulse methods, Signal Processing, Computer-Assisted, Wireless Technology
Abstract

Heartbeats based random binary sequences (RBSs) are the backbone for several security aspects in wireless body sensor networks (WBSNs). However, current heartbeats based methods require a lot of processing time (∼25-30 s) to generate 128-bit RBSs in real-time healthcare applications. In order to improve time efficiency, a biometric RBSs generation technique using interpulse intervals (IPIs) of heartbeats is developed in this study. The proposed technique incorporates a finite monotonic increasing sequences generation mechanism of IPIs and a cyclic block encoding procedure that extracts a high number of entropic bits from each IPI. To validate the proposed technique, 89 ECG recordings including 25 healthy individuals in a laboratory environment, 20 from MIT-BIH Arrhythmia Database, and 44 cardiac patients from the clinical environment are considered. By applying the proposed technique on the ECG signals, at most 16 random bits can be extracted from each heartbeat to generate 128-bit RBSs via concatenation of eight consecutive IPIs. And the randomness and distinctiveness of generated 128-bit RBSs are measured based on the National Institute of Standards and Technology statistical tests and hamming distance, respectively. From the experimental results, the generated 128-bit RBSs from both healthy subjects and patients can potentially be used as keys for encryption or entity identifiers to secure WBSNs. Moreover, the proposed approach is examined to be up to four times faster than the existing heartbeat-based RBSs generation schemes. Therefore, the developed technique necessitates less processing time (0-8 s) in real-time health monitoring scenarios to construct 128-bit RBSs in comparisons with current methods.

Published
2018
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227. A novel ultrasound based approach for lesion segmentation and its applications in gynecological laparoscopic surgery.

Author

Gong XH, Lu J, Liu J, Deng YY, Liu WZ, Huang X, Pirbhulal S, Yu ZY, and Wu WQ

Subjects
Female, Humans, Image Processing, Computer-Assisted, Genital Neoplasms, Female surgery, Gynecologic Surgical Procedures methods, Laparoscopy methods, Ultrasonography, Interventional methods
Abstract

Laparoscopic ultrasound (LUS) has been widely utilized as a surgical aide in general, urological, and gynecological applications. Our study summarizes the clinical applications of laparoscopic ultrasonography in laparoscopic gynecologic surgery. Retrospective analyses were performed on 42 women subjects using laparoscopic surgery during laparoscopic extirpation and excision of gynecological tumors in our hospital from August 2011 to August 2013. Specifically, the Esaote 7.5 × 10 MHz laparoscopic transducer was used to detect small residual lesions, as well as to assess, locate and guide in removing the lesions during laparoscopic operations. The findings of LUS were compared with those of preoperative trans-vaginal ultrasound, postoperative, and pathohistological examinations. In addition, a novel method for lesion segmentation was proposed in order to facilitate the laparoscopic gynecologic surgery. In our experiment, laparoscopic operation was performed using a higher frequency and more close to pelvic organs via laparoscopic access. LUS facilitates the ability of gynaecologists to find small residual lesions under laparoscopic visualization and their accurate diagnosis. LUS also helps to locate residual lesions precisely and provides guidance for the removal of residual tumor and eliminate its recurrence effectively. Our experiment provides a safer and more valuable assistance for clinical applications in laparoscopic gynecological surgery that are superior to trans-abdominal ultrasound and trans-vaginal ultrasound.

Published
2015
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