DocumentCode :
140135
Title :
Sternal pulse rate variability compared with heart rate variabilit on healthy subjects
Author :
Chreiteh, Shadi S. ; Belhage, Bo ; Hoppe, Karsten ; Branebjerg, Jens ; Thomsen, Erik V.
Author_Institution :
Dept. of Micro- & Nanotechnol., Tech. Univ. of Denmark, Lyngby, Denmark
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
3394
Lastpage :
3397
Abstract :
The heart rate variability (HRV) is a commonly used method to quantify the sympathetic and the parasympa-thetic modulation of the heart rate. HRV is mainly conducted on electrocardiograms (ECG). However, the use of photo-plethysmography (PPG) as a marker of the autonomic tone is emerging. In this study we investigated the feasibility of deriving pulse rate variability (PRV) using PPG signals recorded by a reflectance PPG sensor attached to the chest bone (sternum) and comparing it to HRV. The recordings were conducted on 9 healthy subjects being in a relaxed supine position and under forced respiration, where the subjects were asked to breathe following a visual scale with a rate of 27 breaths/min. HRV parameters such as the mean intervals (meanNN), the standard deviation of intervals (SDNN), the root mean square of difference of successive intervals (RMSSD), and the proportion of intervals differing more than 50 ms (pNN50) were calculated from the R peak-to-R peak (R-R) and pulse-to-pulse (P-P) intervals. In the frequency domain the low and high frequency ratio of the power spectral density (LF/HF) was also computed. The Pearson correlation coefficient showed significant correlation for all the parameters (r > 0.95 with p <; 0.001) and the Bland-Altmann analysis showed close agreement between the two methods for all the parameters during resting and forced respiration condition. Thus, PRV analysis using sternal PPG can be an alternative to HRV analysis on healthy subjects at.
Keywords :
bone; correlation methods; electrocardiography; frequency-domain analysis; medical signal processing; photoplethysmography; pneumodynamics; Bland-Altmann analysis; ECG; HRV analysis; HRV parameters; PPG signals; PRV analysis; Pearson correlation coefficient; R peak-to-R peak intervals; RMSSD; SDNN; autonomic tone marker; chest bone; electrocardiograms; forced respiration condition; frequency domain; healthy subjects; heart rate variability; high frequency ratio; low frequency ratio; mean intervals; pNN50; parasympathetic modulation; photoplethysmography; power spectral density; proportion of intervals differing more than 50 ms; pulse-to-pulse intervals; reflectance PPG sensor; relaxed supine position; resting respiration condition; root mean square of difference of successive intervals; standard deviation of intervals; sternal PPG; sternal pulse rate variability; sternum; visual scale; Electrocardiography; Frequency-domain analysis; Hafnium; Heart rate variability; Modulation; Sternum; Transmission line measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944351
Filename :
6944351
Link To Document :
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