The methods and limitations of extracting respiratory rhythm utilizing photoplethysmographic signals

Photoplethysmograph has been a focus for its portable and noninvasive indications of many important physiological phenomenons. From previous researches, it is possible to extract respiratory rhythms from PPG signals. The objective of this paper is to apply and evaluate two methods, envelope and wavelet packet decomposition method, in getting respiratory rate utilizing PPG. The experiments demonstrate that the two methods perform well in the normal and lower respiratory rhythm, however, envelope method requires more signal conditioning, at the same time, wavelet packet decomposition fails in detecting fast rhythm.

[1]  D. Barschdorff,et al.  Respiratory rhythm detection with photoplethysmographic methods , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  O. Boric-Lubecke,et al.  A digital signal processor for Doppler radar sensing of vital signs , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  E. M. Lee,et al.  Respiratory rate detection algorithms by photoplethysmography signal processing , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  E. Naujokat,et al.  Sleep Monitoring Through a Textile Recording System , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  M. Ogawa,et al.  Monitoring of heart and respiratory signals with PPG in bathing , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[6]  C. Sanchez,et al.  Packet wavelet decomposition: An approach for atrial activity extraction , 2002, Computers in Cardiology.

[7]  Bang-Yu Huang,et al.  A wearable respiration monitoring system based on digital respiratory inductive plethysmography , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  Nicholas,et al.  Engineering Advances : New Opportunities for Biomedical Engineers , 2022 .

[9]  W. J. Tompkins,et al.  Comparison of impedance and inductance ventilation sensors on adults during breathing, motion, and simulated airway obstruction , 1997, IEEE Transactions on Biomedical Engineering.