Abstract
This study investigates the feasibility of cardiopulmonary coupling (CPC) using home sleep monitoring system. We have designed a system to measure respiratory signals and normal-to-normal (NN) interval series in a non-contact based on air mattress. Then, CPC analysis was conducted using extracted respiratory signals and NN interval series, and six CPC parameters were extracted (VLFC, LFC, HFC, e-LFC, e-LFCNB and e-LFCBB). To evaluate the proposed method, two statistical analyses were conducted between the CPC parameters extracted by the electrocardiogram-based conventional method and the air mattress-based proposed method for five patients with obstructive sleep apnea and hypopnea (OSAH). Wilcoxon’s signed rank test on the CPC parameters of the two methods indicated no significant differences (p > 0.05) and Spearman’s rank correlation analysis showed high positive correlations (r ≥ 0.7, p < 0.05) between the two methods. Therefore, the proposed method has the potential for performing CPC analysis using air mattress-based system.

References
Thomas, R.J., Mietus, J.E., Peng, C.K., and Goldberger, A.L., An electrocardiogram-based technique to assess cardiopulmonary coupling during sleep. Sleep. 28:1151–1161, 2005. https://doi.org/10.1093/sleep/28.9.1151.
Thomas, R.J., Mietus, J.E., Peng, C.K., Gilmartin, G., Daly, R.W., Goldberger, A.L., and Gottlieb, D.J., Differentiating obstructive from central and complex sleep apnea using an automated electrocardiogram-based method. Sleep. 30:1756–1769, 2007. https://doi.org/10.1093/sleep/30.12.1756.
Yang, A.C., Yang, C.H., Hong, C.J., Tsai, S.J., Kuo, C.H., Peng, C.K., Mietus, J.E., Goldberger, A.L., and Thomas, R.J., Sleep state instabilities in major depressive disorder: Detection and quantification with electrocardiogram based cardiopulmonary coupling analysis. Psychophysiol. 48:285–291, 2011. https://doi.org/10.1111/j.1469-8986.2010.01060.x.
Watanabe, T., and Watanabe, K., Noncontact method for sleep stage estimation. IEEE Trans Biomed Eng. 51:1735–1748, 2004. https://doi.org/10.1109/TBME.2004.828037.
Shin, J.H., Chee, Y.J., Jeong, D.U., and Park, K.S., Nonconstrained sleep monitoring system and algorithms using air-mattress with balancing tube method. IEEE Trans Inf Technol Biomed. 14:147–156, 2010. https://doi.org/10.1109/TITB.2009.2034011.
Lim, E., Lee, H.K., Myoung, H.S., and Lee, K.J., Development of a noncontact heart rate monitoring system for sedentary behavior based on an accelerometer attached to a chair. Physiol Meas. 36:N61, 2015. https://doi.org/10.1088/0967-3334/36/3/N61.
Fonseca, P., Long, X., Radha, M., Haakma, R., Aarts, R.M., and Rolink, J., Sleep stage classification with ECG and respiratory effort. Physiol Meas. 36:2027–2040, 2015. https://doi.org/10.1088/0967-3334/36/10/2027.
Funding
This work was supported by the Technology Innovation Program (10052668, Development of wearable self-powered energy source and low-power wireless communication system for a pacemaker) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
All authors declares that he or she has no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Additional information
This article is part of the Topical Collection on Mobile & Wireless Health
Rights and permissions
About this article
Cite this article
Park, JU., Urtnasan, E., Joo, EY. et al. Cardiopulmonary Coupling Analysis Using Home Sleep Monitoring System Based on Air Mattress. J Med Syst 41, 177 (2017). https://doi.org/10.1007/s10916-017-0824-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10916-017-0824-2