"Bilateral sEMG Dataset for Hand Gesture Recognition in Hemiplegic Stroke Patients"

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Authors: Ye Sun
Cited by: 0

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