Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study

Author:

Naeem Jannatul1,Hamzaid Nur Azah1,Azman Amelia Wong2,Bijak Manfred13

Affiliation:

1. Department of Biomedical Engineering, Faculty of Engineering , University of Malaya , Kuala Lumpur 50603 , Malaysia

2. Department of Electrical and Computer Engineering, Faculty of Engineering , International Islamic University Malaysia , Kuala Lumpur 53100 , Malaysia

3. Medical University Vienna , Center for Medical Physics and Biomedical Engineering , Vienna , Austria

Abstract

Abstract Functional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damage. A real-time mechanomyography (MMG)-based FES system was implemented on the quadriceps muscles of three individuals with SCI to generate an isometric force on both legs. Three threshold drop levels of MMG-root mean square (MMG-RMS) feature (thr50, thr60, and thr70; representing 50%, 60%, and 70% drop from initial MMG-RMS values, respectively) were used to terminate the stimulation session. The mean stimulation time increased when the MMG-RMS drop threshold increased (thr50: 22.7 s, thr60: 25.7 s, and thr70: 27.3 s), indicating longer sessions when lower performance drop was allowed. Moreover, at thr70, the torque dropped below 50% from the initial value in 14 trials, more than at thr50 and thr60. This is a clear indication of muscle fatigue detection using the MMG-RMS value. The stimulation time at thr70 was significantly longer (p = 0.013) than that at thr50. The results demonstrated that a real-time MMG-based FES monitoring system has the potential to prevent the onset of critical muscle fatigue in individuals with SCI in prolonged FES sessions.

Publisher

Walter de Gruyter GmbH

Subject

Biomedical Engineering

Reference44 articles.

1. Krajl A, Bajd T, Turk R, Benko H. Posture switching for prolonging functional electrical stimulation standing in paraplegic patients. Paraplegia 1986;24:221–30.

2. Veltink PH, Donaldson NA. Perspective on the control of FES-supported standing. IEEE Trans Rehabil Eng 1998;6:109–12.

3. Kralj AR, Bajd T. Functional electrical stimulation: standing and walking after spinal cord injury. Boca Raton, FL, USA: CRC press; 1989.

4. Newham DJ, Donaldson ND. FES cycling. Austria: Springer; 2007:395–402.

5. Ibitoye MO, Estigoni EH, Hamzaid NA, Wahab AK, Davis GM. The effectiveness of FES-evoked EMG potentials to assess muscle force and fatigue in individuals with spinal cord injury. Sensors 2014;14:12598–622.

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