"Bilateral sEMG Dataset for Hand Gesture Recognition in Hemiplegic Stroke Patients"
Abstract
"Following sensor configuration, data acquisition was conducted for 9 actions, comprising seven tasks involving fine finger dexterity and two involving wrist movements. Considering the susceptibility of stroke patients to fatigue and motor deficits, a block-based acquisition protocol was adopted. Specifically, participants performed two blocks of six repetitions for each movement. To minimize muscle fatigue and ensure signal fidelity, a mandatory 10-minute rest interval was enforced between blocks."
Fields of Study & Subjects
Muscle activation and electromyography studies
Stroke Rehabilitation and Recovery
Hand Gesture Recognition Systems
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 19 January 2026
- Document type
- Dataset