SVR modelling of mechanomyographic signals predicts neuromuscular stimulation-evoked knee torque in paralyzed quadriceps muscles undergoing knee extension exercise

Using traditional regression modelling, we have previously demonstrated a positive and strong relationship between paralyzed knee extensors' mechanomyographic (MMG) signals and neuromuscular electrical stimulation (NMES)-assisted knee torque in persons with spinal cord injuries. In the present...

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Veröffentlicht in:	Computers in biology and medicine 2020-02, Vol.117, p.103614-103614, Article 103614
Hauptverfasser:	Ibitoye, Morufu Olusola, Hamzaid, Nur Azah, Abdul Wahab, Ahmad Khairi, Hasnan, Nazirah, Olatunji, Sunday Olusanya, Davis, Glen M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Datasets Electrical stimuli Exercise Feedback Feedback control Force Injuries Isometric Kernels Knee Knee torque Machine learning Mechanomyography Model accuracy Modelling Muscle contraction Muscle force Muscles Nervous system Neuromuscular electrical stimulation Physiology Polynomials Quadriceps muscle Spinal cord Spinal cord injuries Stimulation Support vector machines Support vector regression Torquemeters Training
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