| IEICE Electronics Express | |
| Adaptive motion artifacts reduction algorithm for ECG signal in textile wearable sensor | |
| Sung Won Yoon1  Myoungho Lee1  Se Dong Min1  Hang Sik Shin1  | |
| [1] Medical Electronics and Information Lab., Yonsei University | |
| 关键词: adaptive filtering; motion artifacts; wearable sensor; ECG; | |
| DOI : 10.1587/elex.4.312 | |
| 学科分类:电子、光学、磁材料 | |
| 来源: Denshi Jouhou Tsuushin Gakkai | |
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【 摘 要 】
References(8)Cited-By(2)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.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201911300319140ZK.pdf | 215KB |
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