Adaptive motion artifacts reduction algorithm for ECG signal in textile wearable sensor

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概要

• 論文の詳細を見る

• For ubiquitous healthcare system, it is very important to measure a bio-signal without any discomfort. The electro-conductive fabric can be a good application for biomedical sensor. However, it is difficult to measure the bio-signal because of its sensitivity variation caused by contact impedance change, especially by motion of the subject. In this paper, adaptive noise reduction algorithm on motion artifacts is described to measure electro-cardiogram using lead II configuration conducted with both Ag/AgCl electrode as a reference signal and electro-conductive fabric.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Lee Myoungho

  Medical Electronics and Information Lab., Yonsei University

• Yoon Sung

  Medical Electronics and Information Lab., Yonsei University

• Shin Hang

  Medical Electronics and Information Lab., Yonsei University

• Min Se

  Medical Electronics and Information Lab., Yonsei University

関連論文

• Adaptive motion artifacts reduction algorithm for ECG signal in textile wearable sensor

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