전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

  • 제53권11호
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  • Pages.114-122
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  • 2016
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  • 2287-5026(pISSN)
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  • 2288-159X(eISSN)
대한전자공학회 (The Institute of Electronics and Information Engineers)
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EIS 기반 전압신호 분석을 통한 당뇨병 진단 가능성 평가

Diagnosis of Diabetes Using Voltage Analysis Based on EIS (Electro Interstitial Scan)

  • 배장한 (한국한의학연구원 한의기반연구부) ;
  • 김수찬 (한경대학교 전기전자제어공학과 & IT융합연구소, 한국한의학연구원) ;
  • 카니티카 케오칸네트 (한경대학교 전기전자제어공학과) ;
  • 전민호 (한국한의학연구원 한의기반연구부) ;
  • 김재욱 (한국한의학연구원 한의기반연구부)
  • Bae, Jang-Han (KM Fundamental Research Division, Korea Institute of Oriental Medicine) ;
  • Kim, Soochan (Dept. of Electrical and Electronic Engineering & Institute for IT Convergence, Hankyong National University & Korea Institute of Oriental Medicine) ;
  • Kaewkannate, Kanitthika (Dept. of Electrical and Electronic Engineering, Hankyong National University) ;
  • Jun, Min-Ho (KM Fundamental Research Division, Korea Institute of Oriental Medicine) ;
  • Kim, Jaeuk U. (KM Fundamental Research Division, Korea Institute of Oriental Medicine)
  • 투고 : 2016.08.26
  • 심사 : 2016.10.17
  • 발행 : 2016.11.25
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초록

EIS (Electro interstitial scan, 전기체간스캔법)는 전극을 이용해 미세전류를 인체에 인가하고 그에 따른 전기적 반응을 분석하여 생리적인 정보를 얻는 방법으로, 비침습적이고 간단한 검사가 가능하다는 장점이 있다. 특히 당뇨병 진단을 위한 스크린용으로 적합하다는 연구들이 진행되어 왔으나 대부분 진단 원리에 대한 구체적인 논의가 이루어지지 않았다. 본 연구에서는 EIS 방법이 당뇨병 스크리닝 및 임상에 유용하게 활용될 수 있을지 분석해 보기위해 당뇨병 환자와 정상인을 대상으로 EIS 장비의 원 신호인 전압 변동 데이터를 특정경로에서 측정하였다. 전압 신호의 특징점을 추출하고 두 그룹 사이의 AUC (Area under the curve)를 계산한 결과 7개의 변수들이 60% 이상의 분류 정확도를 보였다. 또한 이 변수들을 k-NN 분류기로 학습한 결과, 왼쪽 손에서의 전압 변동 크기를 기준으로 분석했을 때 분류 정확도를 76.2%까지 높일 수 있었다. EIS 기반의 전압신호 분석법으로 비침습적인 당뇨병 스크리닝의 가능성을 보였다.

EIS (Electro interstitial scan) is a non-invasive and simple method to find the physio-pathological information inferred by electric current response with respect to low direct current applied between remote sites of the body. Although a few EIS-based devices for diagnosing diabetes were commercialized, they were not successful in offering clinical validity nor in confirming diagnostic principle. In this study, we measured the voltage responses of diabetic patients and normal subjects with a commercialized EIS device to test the usefulness of EIS in screening diabetes. For this purpose, voltage was measured between pairs of electrodes contacted at both palm, both soles of the feet and left and right forehead above both eyes. After feature extraction of voltage signals, the AUC (area under the curve) between the two groups was calculated and we found that seven variables were appropriately shown above 60% of accuracy. In addition, we applied the k-NN (k-nearest neighbors) method and found that the accuracy of classification between the two groups reached the accuracy of 76.2%. This result implies that the voltage response analysis based on EIS has potential as a diabetics screening method.

키워드

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피인용 문헌

  1. Contrast in the circadian behaviors of an electrodermal activity and bioimpedance spectroscopy vol.35, pp.10, 2018, https://doi.org/10.1080/07420528.2018.1486852