Abstract
A new layered sensor for simultaneous measurement of electromyography (EMG), mechanomyography (MMG) and oxygen consumption based on near-infrared spectroscopy (NIRS) at the same position of the muscle is presented. The proposed sensor is a layered structure of a thin stainless-steel electrode, a PVDF film with transparent electrodes and optical sensors. EMG, MMG and oxygen consumption based on NIRS are measured by the stainless-steel electrodes, PVDF film and optical sensors, respectively. Using the three types of data, muscular activity can be analyzed in more detail. Additionally, the proposed sensor system reduces the constraint of the sensors arranged on the skin in measurements at multiple points because three types of information, previously obtained with three types of general sensors, are detected by a pair of proposed sensors. In an experiment, simultaneous measurement of EMG, MMG and oxygen consumption via NIRS at the forearm was demonstrated using the proposed sensor under fluorescent light. The performance of the layered sensor was evaluated.
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References
Akataki K, Mita K, Watakabe M (2004) Electromyographic and mechanomyographic estimation of motor unit activation strategy in voluntary force production. Electromyogr Clin Neurophysiol 44:489–496
Barry DT (1987) Acoustic signals from frog skeletal muscle. Biophys J 51:5769–5773
Binzoni T, Cooper CE, Wittekind AL, Beneke R, Elwell CE, Van De Ville D, Leung TS (2010) A new method to measure local oxygen consumption in human skeletal muscle during dynamic exercise using near-infrared spectroscopy. Physiol Meas 31:1257–1269
Cescon C, Farina D, Gobbo M, Merletti R, Orizio R (2004) Effect of accelerometer location on mechanomyogram variables during voluntary, constant-force contractions in three human muscles. Med Biol Eng Comput 42:121–128
De Blasi RA, Cope M, Elwell C, Safoue F, Ferrari M (1993) Noninvasive measurement of human forearm oxygen consumption by near infrared spectroscopy. Eur J Appl Physiol 67:20–25
Feipel V, Aubin CE, Ciolofan OC, Beauséjour M, Labelle H, Mathieu PA (2002) Electromyogram and kinematic analysis of lateral bending in idiopathic scoliosis patients. Med Biol Eng Comput 40:497–505
Geršak V, Geršak G (2009) NIRS: Measuring changes in muscle oxygenation and the detection of muscle activity. In: Proceedings of XIX IMEKO World Congress, pp 1634–1639
Gordon G, Holbourn AHS (1948) The sound from single motor units in as contracting muscle. J Physiol I07:456–464
Gregori B, Galié E, Accornero N (2003) Surface electromyography and mechanomyography recording: a new differential composite probe. Med Biol Eng Comput 41:665–669
Hendrix CR, Hooush TJ, Camic CL, Zuniga JM, Johnson GO, Schmidt RJ (2010) Comparing electromyographic and mechanomyographic frequency-based fatigue thresholds to critical torque during isometric forearm flexion. J Neurosci Methods 194:64–72
Ioi H, Kawakatsu M, Nakata S, Nakasima A, Counts AL (2006) Mechanomyogram and electromyogram analyses for investigating human masseter muscle fatigue. Orthod Waves 65:15–20
Kimoto A, Yamada Y (2012) A proposal of layered sensor for analysis of muscular activity. In: Proceedings of MEMEA2012
Madeleine P, Ge H, Jaskólska A, Farina D, Jaskólski A, Nielsen LA (2006) Spectral moments of mechanomyographic signals recorded with accelerometer and microphone during sustained fatiguing contractions. Med Biol Eng Comput 44:290–297
Madeleine P, Cescon C, Farina D (2006) Spatial and force dependency of mechanomyographic signal features. J Neurosci Methods 158:89–99
Matcher SJ, Elwell CE, Cooper CE, Cope M, Delpy DT (1995) Performance comparison of several published tissue near-infrared spectroscopy algorithms. Anal Biochem 227:54–68
Orizio C, Perini R, Veicsteinas A (1989) Changes of muscular sound during sustained isometric contraction up to exhaustion. J Appl Physiol 66(4):1593–1598
Orizio C, Perini R, Veicsteinas A (1989) Muscular sound and force relationship during isometric contraction in man. Eur J Appl Physiol 58:528–533
Östlund N, Yu J, Roeleveld K, Karlsson JS (2004) Adaptive spatial filtering of multichannel surface electromyogram signals. Med Biol Eng Comput 42:825–831
Petitjean M, Maton B (1995) Phonomyogram from single motor units during voluntary isometric contraction. Eur J Appl Physiol 71(2–3):215–222
Piancino MG, Isola G, Merlo A, Dalessandri D, Debernardi C, Bracco P (2012) Chewing pattern and muscular activation in open bite patients. J Electromyogr Kinesiol 22:273–279
Staudenmann D, Kingma I, Daffertshofer A, Stegeman DF, van Dieën JH (2006) Improving EMG-based muscle force estimation by using a high-density EMG grid and principal component analysis. IEEE Trans Biomed Eng 53:712–719
Watanabe M, Mita K, Akataki K, Itoh Y (2001) Mechanical behavior of condenser microphone in mechanomyography. Med Biol Eng Comput 39:195–201
Watanabe Mita K, Akataki K, Itoh K (2003) Reliability of the mechanomyogram detected with an accelerometer during voluntary contractions. Med Biol Eng Comput 41:198–202
Xu G, Mao Z, Ye Y, Lv K (2011) Relationship between muscle oxygenation by NIRS and blood lactate. J Phys Conf Ser 227:1–13
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Kimoto, A., Yamada, Y. A new layered sensor for simultaneous measurement of EMG, MMG and oxygen consumption at the same position. Med Biol Eng Comput 53, 15–22 (2015). https://doi.org/10.1007/s11517-014-1208-0
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DOI: https://doi.org/10.1007/s11517-014-1208-0