Recent technological advances have opened valuable possibilities for supporting people with motor impairments or who are ...

Researchers created an affordable pneumatic exoskeleton glove that uses machine learning to decode forearm muscle signals and ...

Abstract: This study introduces a new exoskeleton designed for physiotherapy purposes utilizing an Arduino ATmega 328p microcontroller and electromyography (EMG) sensors to interpret muscle movements ...

This paper reports on the development of a novel soft robotic system for remote ultrasound applications. Direct contact of the ultrasound probe with the patient's body represents a safety risk and ...

The signals from electromyography (EMG) have been used for volitional control of robotic assistive devices with the challenges of performance improvement. Currently, the most common method of EMG ...

Stroke survivors can be affected by motor deficits in the hand. Robotic equipment associated with brain–machine interfaces (BMI) may aid the motor rehabilitation of these patients. BMIs involving ...