Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Application of Biosignal Data Compression for u-Health Sensor Network System

u-헬스 센서 네트워크 시스템의 생체신호 압축 처리

  • Lee, Yong-Gyu (Department of Electronic & IT Media Engineering, Seoul National University of Science and Technology) ;
  • Park, Ji-Ho (Department of Electronic & IT Media Engineering, Seoul National University of Science and Technology) ;
  • Yoon, Gil-Won (Department of Electronic & IT Media Engineering, Seoul National University of Science and Technology)
  • 이용규 (서울과학기술대학교 전자IT미디어공학과) ;
  • 박지호 (서울과학기술대학교 전자IT미디어공학과) ;
  • 윤길원 (서울과학기술대학교 전자IT미디어공학과)
  • Received : 2012.07.17
  • Accepted : 2012.08.30
  • Published : 2012.09.30
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Abstract

A sensor network system can be an efficient tool for healthcare telemetry for multiple users due to its power efficiency. One drawback is its limited data size. This paper proposed a real-time application of data compression/decompression method in u-Health monitoring system in order to improve the network efficiency. Our high priority was given to maintain a high quality of signal reconstruction since it is important to receive undistorted waveform. Our method consisted of down sampling coding and differential Huffman coding. Down sampling was applied based on the Nyquist-Shannon sampling theorem and signal amplitude was taken into account to increase compression rate in the differential Huffman coding. Our method was successfully tested in a ZigBee and WLAN dual network. Electrocardiogram (ECG) had an average compression ratio of 3.99 : 1 with 0.24% percentage root mean square difference (PRD). Photoplethysmogram (PPG) showed an average CR of 37.99 : 1 with 0.16% PRD. Our method produced an outstanding PRD compared to other previous reports.

Keywords

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