The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
권호 표지
DOI QR코드

DOI QR Code

Development of a Bio-Signal Measuring System Based on D-F-M

D-F-M 기반의 생체신호측정기 개발

  • 채용웅 (계명대학교 전자공학전공) ;
  • 홍동권 (계명대학교 컴퓨터공학전공)
  • Received : 2018.05.14
  • Accepted : 2018.08.15
  • Published : 2018.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to develop a bioinformatic diagnostic system that diagnoses the patient 's health condition by using the output waveform generated by applying the impulse voltage of 13Hz to 7 body parts based on DFM (Diagnose Fure Funktionelle Medizine) theory. It is expected that the data acquired by the diagnostic system will be served as a device for diagnosing the status of the body organ as well as the mesenchymal tissue through inductive reasoning based on artificial intelligence. In this paper, we will limit the system to acquire and manage bio-signals.

본 연구는 D-F-M(Diagnose Fure Funktionelle Medizine) 이론을 기반으로 하여 신체 7부위에 13Hz의 양과 음의 임펄스전압을 인가함으로서 생성된 출력 파형을 이용하여 환자의 건강상태를 진단하는 생체신호 측정기의 개발에 관한 것이다. 측정기에서 취득한 데이터는 인공지능을 기반으로 한 귀납적 추론을 통하여 간엽조직 뿐만 아니라 신체기관의 상태를 진단하는 기기로서의 역할을 수행할 것으로 기대된다. 본 논문에서는 생체신호를 취득하고 관리하는 시스템 하드웨어에 주제를 한정할 것이다.

Keywords

References

  1. P. Rademacher and L. Wesner, Ganzkorper-Regulations-Diagnose VEGA D-F-M. Berlin: CO'MED, 1997.
  2. B. Song, "Clinical application of 7 zone diagnostic system," J. of Korean Acpuncture, vol. 23, no. 3, Mar. 2006, pp.231-239.
  3. Y. Kim, H. Lee, and K. Lee, "Design and Implementation of IoT based Urination Management System," J. of the Korea Institute of Electronic Communication Science, vol. 12, no. 1, Feb. 2017, pp.209-218. https://doi.org/10.13067/JKIECS.2017.12.1.209
  4. J. Yoo, "Analysis of Factor AA in 7-section Diagnosis System and Correlation with Clinical Indicators," J. of Korean Acupuncture, vol. 24, no. 6, July 2007, pp. 159-170.
  5. S. Yoon, "Personal Biometric Identification based on ECG Features," J. of the Korea Institute of Electronic Communication Science, vol. 10, no. 4, Apr. 2015, pp.521-526. https://doi.org/10.13067/JKIECS.2015.10.4.521
  6. J. Kim, O. Lee, and Y. Ko, "Implementation of Medical Care System based on Home Network," J. of the Korea Institute of Electronic Communication Science, vol. 6, no. 6, Dec. 2011, pp. 987-991.
  7. C. Chang and C. Lin, "LIVSVM: a library for support vector machine," ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3, Apr, 2011, pp. 27-53.
  8. S. Bae and C. Lee, "Multi-Channel AD Converters with High-Resolution and Low-Speed," J. of the Korea Institute of Electronic Communication Science, vol. 3, no. 3, Sep. 2017, pp. 165-169.
  9. G. Bourdopoulos and A. Pnevmatikakis, Delta-Sigma Modulators: Modeling, Design and Applications. London: Imperial College Press, 2003.
  10. O. Ozkaya and G. Yillikci, Arduino Computer Vision Programming. Birmingham: Packt., 2015.