In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

Benefiting from the development of the Internet of Healthcare Things (IoHT) in recent years,
locomotion mode recognition using wearable sensors plays a more and more important role …

Those who survive the initial incidence of a stroke experience impacts on daily function. As a
part of the rehabilitation process, it is essential for clinicians to monitor patients' health status …

Wearable sensors provide a more effective means of activity monitoring and management
by recording patients' daily activity data for assessing their daily function and rehabilitation …

Stroke is a cardiovascular and cerebrovascular disease that affects the aged population at a
high rate. Patients' functional disabilities can be reduced with effective rehabilitation training …

With the global population aging, the demand for technologies facilitating independent
living, especially for those with cognitive impairments, is increasing. This paper addresses …

Background Upper-limb rehabilitation robots provide repetitive reaching movement training
to post-stroke patients. Beyond a pre-determined set of movements, a robot-aided training …

Virtual reality (VR) is a powerful technology that provides a structured and safe environment
for ADL training, allowing patients to have a similar experience as real-world training …

A novel Surface Electromyography (sEMG) system has been innovatively designed for
individuals with paralysis. This system utilizes EMG technology to detect and interpret …

Benefiting from the development of the Internet of Healthcare Things (IoHT) in recent years,
locomotion mode recognition using wearable sensors plays an important role in the field of …