Human motor function estimation based on EMG signal fractal dimension standard deviation

• Published in: Journal of Intelligent & Fuzzy Systems Vol. 40; no. 2; pp. 3193 - 3205
• Main Authors: Zhang, Xia, Tao, Sihan, Hu, Jinjia, Lin, Shuai, Hashimoto, Minoru
• Format: Journal Article
• Language: English; Japanese
• Published: London, England SAGE Publications 02.02.2021; Sage Publications Ltd
• Subjects: Complexity; Decision making; Electromyography; Feasibility; Feature extraction; Fractal geometry; Fractals; Frequency domain analysis; Human body; Human motion; Human performance; Muscle contraction; Muscle fatigue; Muscles; Muscular fatigue; Muscular function; Nonlinearity; Robot control; Signal processing; Standard deviation; Time domain analysis; Walking; Wearable technology; EMG signal; standard deviation of fractal dimension; human-robot interaction; human motor function

Wearable robots must adjust the assist mode/intensity according to human motion during the motion assistance process. By decoding the surface electromyography (sEMG) signal, the standard deviation of the fractal dimension is used as a characteristic index of muscle contraction-relaxation ability, an...