Reliability and validity of muscle activity analysis using wearable electromyographs
[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...
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| Published in | Journal of Physical Therapy Science Vol. 36; no. 3; pp. 123 - 127 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English Japanese |
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Japan
The Society of Physical Therapy Science
01.01.2024
Japan Science and Technology Agency |
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| Abstract | [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. |
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| AbstractList | [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. [Abstract.] [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. [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. |
| ArticleNumber | 2023-122 |
| Author | Matsuda, Tadamitsu Miyamori, Takayuki Nozu, Shojiro Kajiwara, Yuma Fujino, Yuji |
| Author_xml | – sequence: 1 fullname: Matsuda, Tadamitsu organization: Department of Physical Therapy, Faculty of Health Science, Juntendo University: 3-2-12 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan – sequence: 2 fullname: Miyamori, Takayuki organization: Department of Physical Therapy, Faculty of Health Science, Juntendo University: 3-2-12 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan – sequence: 3 fullname: Fujino, Yuji organization: Department of Physical Therapy, Faculty of Health Science, Juntendo University: 3-2-12 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan – sequence: 4 fullname: Nozu, Shojiro organization: Faculty of Health and Sports Science, Juntendo University, Japan – sequence: 5 fullname: Kajiwara, Yuma organization: NTT DATA INSTITUTE OF MANAGEMENT CONSULTING, Inc., Japan |
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| Keywords | Validity Muscle activity Wearable electromyographs |
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| References | 9) Zhang Z, Yang K, Qian J, et al.: Real-time surface EMG pattern recognition for hand gestures based on an artificial neural network. Sensors (Basel), 2019, 19: 3170. 16) Wang F, Li G, Chen J, et al.: Novel semi-dry electrodes for brain-computer interface applications. J Neural Eng, 2016, 13: 046021. 12) Fuentes Del Toro S, Wei Y, Olmeda E, et al.: Validation of a low-cost electromyography (EMG) system via a commercial and accurate EMG device: pilot study. Sensors (Basel), 2019, 19: 5214. 10) Hidayat AA, Arief Z, Yuniarti H, et al.: LOVETT scalling with MYO armband for monitoring finger muscles therapy of post-stroke people. In: Proceedings of the 2016 International Electronics Symposium (IES), 2016: 66–70. 14) Jang MH, Ahn SJ, Lee JW, et al.: Validity and reliability of the newly developed surface electromyography device for measuring muscle activity during voluntary isometric contraction. Comput Math Methods Med, 2018, 2018: 4068493. 1) Guk K, Han G, Lim J, et al.: Evolution of wearable devices with real-time disease monitoring for personalized healthcare. Nanomaterials (Basel), 2019, 9: 813. 13) Plichta SB, Kelvin EA, Munro BH: Munro’s statistical methods for health care research. New York: Lippincott, Williams & Wilkins, 2013. 6) Sun J, Liu G, Sun Y, et al.: Application of surface electromyography in exercise fatigue: a review. Front Syst Neurosci, 2022, 16: 893275. 7) Sorbie GG, Darroch P, Grace FM, et al.: Commercial golf glove effects on golf performance and forearm muscle activity. Res Sports Med, 2017, 25: 451–461. 3) Lee SM, Lee D: Healthcare wearable devices: an analysis of key factors for continuous use intention. Serv Bus, 2020, 14: 503–531. 8) Phinyomark A, N Khushaba R, Scheme E: Feature extraction and selection for myoelectric control based on wearable EMG sensors. Sensors (Basel), 2018, 18: 1615. 11) Bawa A, Banitsas K: Design validation of a low-cost EMG sensor compared to a commercial-based system for measuring muscle activity and fatigue. Sensors (Basel), 2022, 22: 5799. 4) Yu HB, Li J, Zhang R, et al.: Effects of jump-rope-specific footwear selection on lower extremity biomechanics. Bioengineering (Basel), 2022, 9: 135. 2) Fuller D, Colwell E, Low J, et al.: Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate: systematic review. JMIR Mhealth Uhealth, 2020, 8: e18694. 5) Sorbie GG, Hunter HH, Grace FM, et al.: An electromyographic study of the effect of hand grip sizes on forearm muscle activity and golf performance. Res Sports Med, 2016, 24: 222–233. 15) Li GL, Wu JT, Xia YH, et al.: Review of semi-dry electrodes for EEG recording. J Neural Eng, 2020, 17: 051004. 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 |
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| Title | Reliability and validity of muscle activity analysis using wearable electromyographs |
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