Robust heart beat detection from photoplethysmography interlaced with motion artifacts based on Empirical Mode Decomposition
文献类型：会议论文
| 作者 | Xuxue Sun, Ping Yang, Yulin Li, Zhifan Gao and Yuan-Ting Zhang |
| 出版日期 | 2012 |
| 会议名称 | Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2013) |
| 会议地点 | Hong Kong and Shenzhen, China |
| 英文摘要 | Many vital physiological features are embedded in photoplethysmography (PPG). Among them, heart beat carries the most significant importance for physiological monitoring in both the clinical and mobile health-care settings. However, motion artifact induced by finger and arm movement can corrupt the PPG signal significantly and cause serious false recognition of physiological features, leading to erroneous medical decision. In this paper, we propose a signal processing method based on multi-scale data analysis using Empirical Mode Decomposition (EMD) for the purpose of accurate heart rate extraction. Experiments with signals from Physionet database and the signals collected in our lab showed that our method can improve the accuracy of heart beat detection with period recovery rate at 84.68% |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4040]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Xuxue Sun, Ping Yang, Yulin Li, Zhifan Gao and Yuan-Ting Zhang. Robust heart beat detection from photoplethysmography interlaced with motion artifacts based on Empirical Mode Decomposition[C]. 见:Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2013). Hong Kong and Shenzhen, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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