Respiratory Signal Extraction from ECG Signal
- 23 Downloads
The extraction of respiration from physiological signals such as the electrocardiogram (ECG) and photoplethysmogram (PPG) has been explored for a long time. The proposed methods are mainly based on filters and features. However, the performances among methods are hardly compared and summarized. In this chapter, we focus on the studies of the typical feature-based ECG-derived respirations (EDR). The review of each method is given. The experiment is processed with rest ECG data and reference respiratory data collected synchronously over 60 s. Three parameters, waveform correlation C1, interval correlation C2, and respiratory rate RR, are introduced to evaluate each method under conditions of good and poor signal qualities. The results indicate that the optimal method should be determined by applications. For parameter C1, trough envelope-based method provides the highest similarity with reference waveform (0.8426) when the signal quality is good. However, it is easily affected by the noise, decreasing to −0.3219. For parameter C2, ECG area mean-based method has the highest similarity with intervals of reference signal (0.8162). Likewise, it performs no better than QRS complex area-based method (0.7013) when the signal quality is poor. In general, signal quality has an effect on the results of these methods.
KeywordsDerived respiration Electrocardiogram (ECG) Feature-based
- 4.Charlton, P., Birrenkott, D.A., Bonnici, T., Pimentel, M.A.F., Johnson, A.E.W., Alastruey, J., Tarassenko, L., Watkinson, P.J., Beale, R., Clifton, D.A.: Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review. IEEE Rev. Biomed. Eng. 11, 2–20 (2017)CrossRefGoogle Scholar
- 9.Ramya, K., Rajkumar, K.: Respiration rate diagnosis using single lead ECG in real time. Glob. J. Med. Res. 13, 1 (2013)Google Scholar
- 11.Sobron, A., Romero, I., Lopetegi, T.: Evaluation of methods for estimation of respiratory frequency from the ECG. Comput. Cardiol. 37, 513 (2010)Google Scholar
- 13.Daniel, R., Michael, R., Pablo, L., Olle, P., Esther, P.: Depolarization changes during acute myocardial ischemia by evaluation of QRS slopes: standard lead and vectorial approach. IEEE Trans. Biomed. Eng. 58(1), 110–120 (2010)Google Scholar