Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest

Dan Wu; Ping Yang; Guan-Zheng Liu; Yuan-Ting Zhang

doi:10.1109/BHI.2012.6211699

Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest

Dan Wu, Ping Yang, Guan-Zheng Liu, Yuan-Ting Zhang^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

6 Citations (Scopus)

Abstract

Respiratory rate (RR) can often be extracted from electrocardiogram (ECG) or photoplethysmogram (PPG) by analyzing the variations of certain morphological features or the peak-to-peak time interval between them. In this paper, we use a novel method for estimating the RR from the sequence of the pulse transit time (PTT) from radial to the central aorta. To validate this algorithm, in-situ experiments were conducted on ten healthy subjects. For each subject, an ECG, a PPG and a piezoelectric sensor-based reference respiratory signal were collected. The PTT-derived RR was evaluated by comparing with the reference RR. The results showed that the estimation error was 1.44±0.59 breaths per minute (bpm). We also compared the accuracy of the RR derived using this method with that derived from the morphological feature and peak-to-peak time interval of ECG/PPG. We found that the standard deviation (SD) of the PTT-derived results was less than other methods' SDs. The results demonstrated that the proposed method can be used to estimate the RR in ubiquitous physiological monitoring.

Original language	English
Title of host publication	Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012)
Subtitle of host publication	in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering "Global Grand Challenge of Health Informatics"
Publisher	IEEE
Pages	779-781
ISBN (Electronic)	978-1-4577-2177-9, 978-1-4577-2175-5
ISBN (Print)	978-1-4577-2176-2
DOIs	https://doi.org/10.1109/BHI.2012.6211699
Publication status	Published - Jan 2012
Externally published	Yes
Event	IEEE-EMBS International Conference on Biomedical and Health Informatics (In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering): Global Grand Challenge of Health Informatics - Hong Kong and Shenzhen, China Duration: 2 Jan 2012 → 7 Jan 2012

Conference

Conference	IEEE-EMBS International Conference on Biomedical and Health Informatics (In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering)
Abbreviated title	BHI 2012
Country/Territory	China
City	Hong Kong and Shenzhen
Period	2/01/12 → 7/01/12

Research Keywords

electrocardiogram
photoplethysmogram
pulse transit time
Respiratory rate

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10.1109/BHI.2012.6211699

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Wu, D., Yang, P., Liu, G.-Z., & Zhang, Y.-T. (2012). Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest. In Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) : in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering "Global Grand Challenge of Health Informatics" (pp. 779-781). Article 6211699 IEEE. https://doi.org/10.1109/BHI.2012.6211699

Wu, Dan ; Yang, Ping ; Liu, Guan-Zheng et al. / Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest. Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) : in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering "Global Grand Challenge of Health Informatics" . IEEE, 2012. pp. 779-781

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title = "Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest",

abstract = "Respiratory rate (RR) can often be extracted from electrocardiogram (ECG) or photoplethysmogram (PPG) by analyzing the variations of certain morphological features or the peak-to-peak time interval between them. In this paper, we use a novel method for estimating the RR from the sequence of the pulse transit time (PTT) from radial to the central aorta. To validate this algorithm, in-situ experiments were conducted on ten healthy subjects. For each subject, an ECG, a PPG and a piezoelectric sensor-based reference respiratory signal were collected. The PTT-derived RR was evaluated by comparing with the reference RR. The results showed that the estimation error was 1.44±0.59 breaths per minute (bpm). We also compared the accuracy of the RR derived using this method with that derived from the morphological feature and peak-to-peak time interval of ECG/PPG. We found that the standard deviation (SD) of the PTT-derived results was less than other methods' SDs. The results demonstrated that the proposed method can be used to estimate the RR in ubiquitous physiological monitoring.",

keywords = "electrocardiogram, photoplethysmogram, pulse transit time, Respiratory rate",

author = "Dan Wu and Ping Yang and Guan-Zheng Liu and Yuan-Ting Zhang",

year = "2012",

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doi = "10.1109/BHI.2012.6211699",

language = "English",

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booktitle = "Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012)",

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note = "IEEE-EMBS International Conference on Biomedical and Health Informatics (In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering) : Global Grand Challenge of Health Informatics, BHI 2012 ; Conference date: 02-01-2012 Through 07-01-2012",

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Wu, D, Yang, P, Liu, G-Z & Zhang, Y-T 2012, Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest. in Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) : in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering "Global Grand Challenge of Health Informatics" ., 6211699, IEEE, pp. 779-781, IEEE-EMBS International Conference on Biomedical and Health Informatics (In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering), Hong Kong and Shenzhen, China, 2/01/12. https://doi.org/10.1109/BHI.2012.6211699

Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest. / Wu, Dan; Yang, Ping; Liu, Guan-Zheng et al.
Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) : in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering "Global Grand Challenge of Health Informatics" . IEEE, 2012. p. 779-781 6211699.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest

AU - Wu, Dan

AU - Yang, Ping

AU - Liu, Guan-Zheng

AU - Zhang, Yuan-Ting

PY - 2012/1

Y1 - 2012/1

N2 - Respiratory rate (RR) can often be extracted from electrocardiogram (ECG) or photoplethysmogram (PPG) by analyzing the variations of certain morphological features or the peak-to-peak time interval between them. In this paper, we use a novel method for estimating the RR from the sequence of the pulse transit time (PTT) from radial to the central aorta. To validate this algorithm, in-situ experiments were conducted on ten healthy subjects. For each subject, an ECG, a PPG and a piezoelectric sensor-based reference respiratory signal were collected. The PTT-derived RR was evaluated by comparing with the reference RR. The results showed that the estimation error was 1.44±0.59 breaths per minute (bpm). We also compared the accuracy of the RR derived using this method with that derived from the morphological feature and peak-to-peak time interval of ECG/PPG. We found that the standard deviation (SD) of the PTT-derived results was less than other methods' SDs. The results demonstrated that the proposed method can be used to estimate the RR in ubiquitous physiological monitoring.

AB - Respiratory rate (RR) can often be extracted from electrocardiogram (ECG) or photoplethysmogram (PPG) by analyzing the variations of certain morphological features or the peak-to-peak time interval between them. In this paper, we use a novel method for estimating the RR from the sequence of the pulse transit time (PTT) from radial to the central aorta. To validate this algorithm, in-situ experiments were conducted on ten healthy subjects. For each subject, an ECG, a PPG and a piezoelectric sensor-based reference respiratory signal were collected. The PTT-derived RR was evaluated by comparing with the reference RR. The results showed that the estimation error was 1.44±0.59 breaths per minute (bpm). We also compared the accuracy of the RR derived using this method with that derived from the morphological feature and peak-to-peak time interval of ECG/PPG. We found that the standard deviation (SD) of the PTT-derived results was less than other methods' SDs. The results demonstrated that the proposed method can be used to estimate the RR in ubiquitous physiological monitoring.

KW - electrocardiogram

KW - photoplethysmogram

KW - pulse transit time

KW - Respiratory rate

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U2 - 10.1109/BHI.2012.6211699

DO - 10.1109/BHI.2012.6211699

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-4577-2176-2

SP - 779

EP - 781

BT - Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012)

PB - IEEE

T2 - IEEE-EMBS International Conference on Biomedical and Health Informatics (In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering)

Y2 - 2 January 2012 through 7 January 2012

ER -

Wu D, Yang P, Liu GZ, Zhang YT. Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest. In Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) : in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering "Global Grand Challenge of Health Informatics" . IEEE. 2012. p. 779-781. 6211699 doi: 10.1109/BHI.2012.6211699

Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest

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