An efficient electrical spatial scanning method for detecting muscle injury

DOI

Bibliographic Information

Other Title
  • 筋断裂検知のための効率的な電位空間走査

Description

<p>For early detection of the slight muscle injury, we present a sensing method based on electrical impedance distribution of musculoskeletal tissue. The system collects potential data for various excitation conditions by using multiple electrodes surrounding the target object and discriminates the muscle state by machine learning. We optimize the sensing efficiency by selecting excitation conditions based on the correlation analysis of the normal and injured muscle. We utilize the simulated data for optimizing the parameters of discriminator without using measurement data for the injured state. Furthermore, we propose an environment-invariant detection method by considering implementation error of the electrode position. We investigated the effective excitation conditions and discrimination ratio by using a musculoskeletal phantom for various injured conditions. As a result, it was found that the proposed system has 100 % discrimination ratio using 7 out of 120 excitation conditions and reduced measurement time from 38.4 s to 224 ms.</p>

Journal

Details 詳細情報について

  • CRID
    1390285300181040768
  • NII Article ID
    130007885123
  • DOI
    10.11239/jsmbe.annual58.451
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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