전도성 섬유를 이용한 무선센서 네트워크기반의 웨어러블 헬스케어 시스템에 관한 연구
A Study of Wearable Healthcare System Using Conductive Textile in Wireless Sensor Network
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초록
최근 IT 기술의 발전과 건강관리에 대한 관심이 맞물려 일상생활 가운데 무자각‧무구속 상황에서의 건강관리 기술에 대한 연구가 많이 진행되고 있다. 본 연구는 스마트섬유를 이용하여 사용자가 일상생활 중에 인지하지 못하는 상황에서도 지속적으로 생체신호를 측정하여 사용자의 건강상태를 모니터링할 수 있는 스마트 웨어러블 헬스케어 시스템에 관한 것이다. 그러나 사용자가 활동하는 가운데 생체신호 측정용 전극이 접촉부위를 이동하면서 발생되는 잡음인 모션 아티팩트와 피부와 전극 사이에 존재하는 임피던스가 원하지 않는 방향으로 변할 때 발생하는 0~2Hz 범위의 주파수 잡음이 기저선을 변동시킴으로서 전체 생체신호에 대한 왜곡현상을 일으키게 된다. 본 논문에서는 웨어러블 헬스케어 시스템을 구현하여 잡음에 의해 발생되는 기저선 변동을 제거하기 위해 적응선형예측필터와 표준필터를 적용함으로서 심전도신호에 대한 기저선 변동 제거가 가능한지를 평가하였다. 그 결과에 따르면 사용자가 일상생활 가운데에서도 생체신호에 대한 왜곡현상이 없이 실시간으로 심전도 신호측정이 가능함을 알 수 있었다. 또한, 본 논문에서는 사용자가 활동 중에도 센서네트워크 환경을 통해서 원격지의 모니터링 시스템으로 사용자의 생체신호를 신속하게 전달이 가능한 멀티-홉 라우팅 프로토콜에 관해서도 제안하였다.
Abstract
Health technologies for unconscious/uninhibited health management in everyday life is a topic of active research due to recent developments in IT technologies and increased focus on personal health. This research presents a smart wearable healthcare system based on smart textile fabric to provide non-obstructive, continuous monitoring of biometric signals. A key consideration for wearable, real-time monitoring is the distortion in the overall measured signal due to baseline wander noise in the range of 0~2Hz caused by motion artifacts. In this paper we implement a wearable healthcare system and employ an adaptive linear prediction filter to address the issue of baseline wander. The performance of a standard filter was compared to evaluate the applicability for baseline removal in ECG signals. From the results we conclude that with our system, non-inhibitive, real-time ECG measurement of patients in everyday life with minimal baseline wander is possible. Additionally, we propose a multi-hop routing protocol for fast transfer of biometric signals to facilitate remote monitoring through a wireless sensor network.
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