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	Robust heart beat detection from photoplethysmography interlaced with motion artifacts based on Empirical Mode Decomposition
	Xuxue Sun, Ping Yang, Yulin Li, Zhifan Gao and Yuan-Ting Zhang
	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
内容类型	会议论文
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.

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