論文

国際誌
2021年10月7日

DATSURYOKU Sensor—A Capacitive-Sensor-Based Belt for Predicting Muscle Tension: Preliminary Results

Sensors
  • Akihiko Murai
  • ,
  • Shusuke Kanazawa
  • ,
  • Ko Ayusawa
  • ,
  • Sohei Washino
  • ,
  • Manabu Yoshida
  • ,
  • Masaaki Mochimaru

21
19
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/s21196669

Excessive muscle tension is implicitly caused by inactivity or tension in daily activities, and it results in increased joint stiffness and vibration, and thus, poor performance, failure, and injury in sports. Therefore, the routine measurement of muscle tension is important. However, a co-contraction observed in excessive muscle tension cannot be easily detected because it does not appear in motion owing to the counteracting muscle tension, and it cannot be measured by conventional motion capture systems. Therefore, we focused on the physiological characteristics of muscle, that is, the increase in muscle belly cross-sectional area during activity and softening during relaxation. Furthermore, we measured muscle tension, especially co-contraction and relaxation, using a DATSURYOKU sensor, which measures the circumference of the applied part. The experiments showed high interclass correlation between muscle activities and circumference across maximal voluntary co-contractions of the thigh muscles and squats. Moreover, the circumference sensor can measure passive muscle deformation that does not appear in muscle activities. Therefore, the DATSURYOKU sensor showed the potential to routinely measure muscle tension and relaxation, thus avoiding the risk of failure and injury owing to excessive muscle tension and can contribute to the realization of preemptive medicine by measuring daily changes.

リンク情報
DOI
https://doi.org/10.3390/s21196669
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/34640988
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512158
URL
https://www.mdpi.com/1424-8220/21/19/6669
ID情報
  • DOI : 10.3390/s21196669
  • ORCIDのPut Code : 101243300
  • PubMed ID : 34640988
  • PubMed Central 記事ID : PMC8512158

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