Mechanomyography sensors for detection of muscle activities and fatigue during Fes-evoked contraction

Author

Mei Yee Ng ; Pourmajidian, Maryam ; Hamzaid, Nur Azah

Author_Institution

Dept. of Biomed. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia

fYear

2014

fDate

17-19 Sept. 2014

Firstpage

1

Lastpage

3

Abstract

The experiment is to investigate the reliability of two different mechanomyogram (MMG) sensors recording during functional electrical stimulation (FES)-evoked contraction. The MMG based sensors used in this study are vibromyography (VMG) and muscle contraction (MC) sensor. One spinal cord injured (SCI) patient was requested to perform knee extension movements during two sessions of isotonic exercise for strength and fatigue tests. Data from each sensor was collected, processed and analysed in personal computer. Processed data of sensors were correlated with the measured output torque to identify the linearity of sensors signal with output. Analyzed data from both MMG based sensors are tabulated and compared. The sensor with coefficient of correlation nearest to 1 is considered more reliable in muscle activity and fatigue detection. From the findings, it can be concluded that MC sensor is better in detecting and measuring muscle activities for SCI subjects. While for detecting and measuring muscle fatigue VMG performs better for SCI subjects.

Keywords

bioelectric potentials; biomechanics; biomedical transducers; fatigue; neuromuscular stimulation; neurophysiology; patient care; patient rehabilitation; torque; Fes-evoked contraction; MC sensor; MMG based sensor data; MMG based sensors; MMG sensors; SCI patient; VMG sensor; correlated sensor data; functional electrical stimulation; isotonic exercise; knee extension movements; measured output torque; mechanomyogram sensors; mechanomyography sensors; muscle activity detection; muscle activity sensor; muscle contraction; muscle fatigue detection; muscle fatigue sensor; muscle fatigue test; muscle strength test; personal computer-analyzed sensor data; processed sensor data; sensor signal linearity; spinal cord injured patient; vibromyography sensor; Fatigue; Force; Knee; Muscles; Sensors; Skin; Torque; Functional Electrical Stimulation; evoked muscle contraction; mechanomyography; muscle fatigue; spinal cord injury;

fLanguage

English

Publisher

ieee

Conference_Titel

Functional Electrical Stimulation Society Annual Conference (IFESS), 2014 IEEE 19th International

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-6482-6

Type

conf

DOI

10.1109/IFESS.2014.7036759

Filename

7036759