caa a22 4500 60551044X CHVBK 20210128100646.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10877-014-9641-z doi (NATIONALLICENCE)springer-10.1007/s10877-014-9641-z Using the multi-parameter variability of photoplethysmographic signals to evaluate short-term cardiovascular regulation [Elektronische Daten] [Xiang Chen, Ning Liu, Yuanyuan Huang, Feng Yun, Jue Wang, Jin Li] Transient changes in cardiovascular regulatory activities are valuable for clinical monitoring and pathophysiological research. However, there is a lack of effective methods to evaluate short-term cardiovascular regulation. This study explores a photoplethysmography (PPG)-based multi-parameter analytical approach using the period, amplitude and baseline of PPG signals to quantitatively assess cardiovascular regulation over a 30s period. PPG data were recorded from 31 young healthy subjects during conditions of spontaneous respiration, paced respiration with 15 breaths/min and breath holding, with each condition lasting 30s. The three indices (SD1, SD2, SD1/SD2) in Poincaré plot of the normalized parameters and the correlations between the parameters or the first differences of the parameters were analyzed. The results showed that compared with spontaneous respiration, SD1 of PPG amplitude increased significantly but the correlations between any two parameters or between the first differences of any two parameters decreased significantly during paced respiration; SD1 and SD1/SD2 of all PPG parameters as well as the correlations of the first differences between any two PPG parameters reduced significantly during breath holding. The results indicate the respiratory induced alterations in cardiovascular autonomic function could be identified by the variability of various PPG parameters or their correlations over 30s periods. Moreover, the indicators used to quantify the variability of the PPG parameters in this study may provide a feasible and effective way to evaluate short-term cardiovascular regulation. Springer Science+Business Media New York, 2014 Photoplethysmograph (PPG) nationallicence Multi-parameter variability nationallicence Cardiovascular regulation nationallicence Short-term nationallicence Chen Xiang Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut Liu Ning Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut Huang Yuanyuan Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut Yun Feng Postdoctoral Mobile Station of Electronic Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut Wang Jue Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut Li Jin Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut Journal of Clinical Monitoring and Computing Springer Netherlands 29/5(2015-10-01), 605-612 1387-1307 29:5<605 2015 29 10877 https://doi.org/10.1007/s10877-014-9641-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10877-014-9641-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Xiang Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut NATIONALLICENCE 700 1- Liu Ning Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut NATIONALLICENCE 700 1- Huang Yuanyuan Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut NATIONALLICENCE 700 1- Yun Feng Postdoctoral Mobile Station of Electronic Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut NATIONALLICENCE 700 1- Wang Jue Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut NATIONALLICENCE 700 1- Li Jin Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China aut NATIONALLICENCE 773 0- Journal of Clinical Monitoring and Computing Springer Netherlands 29/5(2015-10-01), 605-612 1387-1307 29:5<605 2015 29 10877