[HTML][HTML] Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review

I Boukhennoufa, X Zhai, V Utti, J Jackson… - … Signal Processing and …, 2022 - Elsevier
A cerebrovascular accident or stroke is the second commonest cause of death in the world. If
it is not fatal, it can result in paralysis, sensory impairment and significant disability …

Wearable robotics for impaired upper-limb assistance and rehabilitation: State of the art and future perspectives

T Proietti, E Ambrosini, A Pedrocchi, S Micera - Ieee Access, 2022 - ieeexplore.ieee.org
Despite more than thirty-five years of research on wearable technologies to assist the upper-
limb and a multitude of promising preliminary results, the goal of restoring pre-impairment …

Fusion of multi-sensor-based biomechanical gait analysis using vision and wearable sensor

V Bijalwan, VB Semwal, TK Mandal - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The purpose of this research work is to investigate the biomechanics of pelvis, hip, knee,
and ankle joint motion using a Kinect sensor & inertial measurement unit (IMU) sensor …

A survey of wearable sensors and machine learning algorithms for automated stroke rehabilitation

N Sengupta, AS Rao, B Yan, M Palaniswami - IEEE Access, 2024 - ieeexplore.ieee.org
Stroke is one of the leading causes of disability among the elderly population and is a
significant public health problem worldwide. The main impact of stroke is functional …

Decomposition of reaching movements enables detection and measurement of ataxia

B Oubre, JF Daneault, K Whritenour, NC Khan… - The Cerebellum, 2021 - Springer
Technologies that enable frequent, objective, and precise measurement of ataxia severity
would benefit clinical trials by lowering participation barriers and improving the ability to …

How can intelligent robots and smart mechatronic modules facilitate remote assessment, assistance, and rehabilitation for isolated adults with neuro-musculoskeletal …

SF Atashzar, J Carriere, M Tavakoli - Frontiers in Robotics and AI, 2021 - frontiersin.org
Worldwide, at the time this article was written, there are over 127 million cases of patients
with a confirmed link to COVID-19 and about 2.78 million deaths reported. With limited …

[HTML][HTML] IMU-based monitoring for assistive diagnosis and management of IoHT: a review

F Bo, M Yerebakan, Y Dai, W Wang, J Li, B Hu, S Gao - Healthcare, 2022 - mdpi.com
With the rapid development of Internet of Things (IoT) technologies, traditional disease
diagnoses carried out in medical institutions can now be performed remotely at home or …

Automatic post-stroke severity assessment using novel unsupervised consensus learning for wearable and camera-based sensor datasets

N Razfar, R Kashef, F Mohammadi - Sensors, 2023 - mdpi.com
Stroke survivors often suffer from movement impairments that significantly affect their daily
activities. The advancements in sensor technology and IoT have provided opportunities to …

A clinical perspective on bespoke sensing mechanisms for remote monitoring and rehabilitation of neurological diseases: sco** review

JM Yen, JH Lim - Sensors, 2023 - mdpi.com
Neurological diseases including stroke and neurodegenerative disorders cause a hefty
burden on the healthcare system. Survivors experience significant impairment in mobility …

Detection and assessment of point-to-point movements during functional activities using deep learning and kinematic analyses of the stroke-affected wrist

B Oubre, SI Lee - IEEE Journal of Biomedical and Health …, 2023 - ieeexplore.ieee.org
Stoke is a leading cause of long-term disability, including upper-limb hemiparesis. Frequent,
unobtrusive assessment of naturalistic motor performance could enable clinicians to better …