Derivation of respiration rate from ambulatory ECG and PPG using Ensemble Empirical Mode Decomposition: Comparison and fusion

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• 作者：Christina Orphanidou^a ; ^b ; ^c ; ^{orphanid@ucy.ac.cy}
• 关键词：Wearable sensors ; Respiratory rate ; Heart rate variability ; ECG ; PPG ; Data fusion ; Ensemble empirical mode decomposition
• 刊名：Computers in Biology and Medicine
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：81
• 期：Complete
• 页码：45-54
• 全文大小：1015 K
• 卷排序：81

文摘

A method for extracting respiration rate from ambulatory ECG and PPG is proposed. Application of Ensemble Empirical Mode Decomposition provides clean respiration signals. Respiration rate with a mean absolute error of 1.8 bpm and mean average error of 10% is extracted. ECG performs better than PPG but there is no statistically significant difference. Recording both signals does not improve performance but ensures a value is obtained more often.