• Title/Summary/Keyword: 생체신호계측기기산업

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An Analysis on Technology and Patent of Physiological Signal Measurement Industry in Major Countries (주요국 생체신호계측기기산업의 기술, 특허 및 정책 분석)

  • 이충희;김상우;이병민
    • Journal of Korea Technology Innovation Society
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    • v.6 no.4
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    • pp.411-428
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    • 2003
  • We have examined and analyzed the status of policy, R&D investments, patents and market share of physiological signal measurement technologies for major countries including Korea, the United States, European Union and Japan. Korea is generally inferior to the others in terms of priority of industrial policy, R&D investment, number of patents, technological level and world market share. However, Korea could recover competitiveness, with intensive government supports for this technology.

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A Study of a Module of Wrist Direction Recognition using EMG Signals (근전도를 이용한 손목방향인식 모듈에 관한 연구)

  • Lee, C.H.;Kang, S.I.;Bae, S.H.;Kwon, J.W.;LEE, D.H.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.7 no.1
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    • pp.51-58
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    • 2013
  • As it is changing into aging society, rehabilitation, welfare and sports industry markets are being expanded fast. Especially, the field of vital signals interface to control welfare instruments like wheelchair, rehabilitation ones like an artificial arm and leg and general electronic ones is a new technology field in the future. Also, this technology can help not only the handicapped, the old and the weak and the rehabilitation patients but also the general public in various application field. The commercial bio-signal measurement instruments and interface systems are complicated, expensive and large-scaled. So, there are a lot of limitations for using in real life with ease. this thesis proposes a wireless transmission interface system that uses EMG(electromyogram) signals and a control module to manipulate hardware systems with portable size. We have designed a hardware module that receives the EMG signals occurring at the time of wrist movement and eliminated noises with filter and amplified the signals effectively. DSP(Digital Signal Processor) chip of TMS320F2808 which was supplied from TI company was used for converting into digital signals from measured EMG signals and digital filtering. We also have used PCA(Principal Component Analysis) technique and classified into four motions which have right, left, up and down direction. This data was transmitted by wireless module in order to display at PC monitor. As a result, the developed system obtains recognition success ratio above 85% for four different motions. If the recognition ratio will be increased with more experiments. this implemented system using EMG wrist direction signals could be used to control various hardware systems.

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