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[HTML][HTML] Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review
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 …
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
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 …
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
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 …
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
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 …
significant public health problem worldwide. The main impact of stroke is functional …
Decomposition of reaching movements enables detection and measurement of ataxia
Technologies that enable frequent, objective, and precise measurement of ataxia severity
would benefit clinical trials by lowering participation barriers and improving the ability to …
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 …
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 …
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
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 …
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
Stroke survivors often suffer from movement impairments that significantly affect their daily
activities. The advancements in sensor technology and IoT have provided opportunities to …
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 …
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
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 …
unobtrusive assessment of naturalistic motor performance could enable clinicians to better …