Reliability and validity of muscle activity analysis using wearable electromyographs

• Published in: Journal of Physical Therapy Science Vol. 36; no. 3; pp. 123 - 127
• Main Authors: Matsuda, Tadamitsu, Miyamori, Takayuki, Fujino, Yuji, Nozu, Shojiro, Kajiwara, Yuma
• Format: Journal Article
• Language: English; Japanese
• Published: Japan The Society of Physical Therapy Science 01.01.2024; Japan Science and Technology Agency
• Subjects: Electromyography; Muscle activity; Muscle function; Original; Validity; Wearable electromyographs; Validity; Muscle activity; Wearable electromyographs
• ISSN: 0915-5287; 2187-5626
• DOI: 10.1589/jpts.36.123

[Purpose] The aim of this study was to develop a novel wearable surface electromyograph called NOK, and compare its reliability and validity to an existing electromyograph. [Participants and Methods] The study participants were 23 healthy university students (Seven males and 16 females; age 20.3 ± 1.1 years [mean ± standard deviation]; height 162.0 ± 6.7 cm; weight 58.4 ± 10.1 kg) who all gave informed written consent. The newly developed electromyograph (NOK) features a rubberized skin contact surface that requires no electrodes and allows the acquisition of up to 10 channels of muscle waveforms on a portable personal computer. After measuring maximal isometric elbow extension and flexion, we examined muscle waveforms during isometric contractions of elbow joint flexion and extension at approximately 50% of maximal voluntary contraction using both NOK and Delsys electromyographs and compared the results of the two devices. [Results] We found a significant moderate correlation between the measurements by the two devices for biceps and triceps. The measurements by the two devices also showed strong measure-retest reliability. Systematic errors were observed for elbow flexion and extension in the two measurements, indicating limited agreement between the two measurement methods. [Conclusion] Although the new device also has high repeatability and reliability, it is unsuitable for analyzing detailed muscle activity. However, since it can measure up to 10 channels of muscle activity, it is expected to be used in the rehabilitation and sports field in the future.