TY - GEN
T1 - A Statistical Comparative Study of Photoplethysmographic Signals in Wrist-Worn and Fingertip Pulse-Oximetry Devices
AU - Gadhoumi, Kais
AU - Keenan, Kevin
AU - Colorado, Rene
AU - Meisel, Karl
AU - Hu, Xiao
PY - 2018/9
Y1 - 2018/9
N2 - Prolonged time-matching continuous recordings of electrocardiogram and photoplethysmographic waveforms from fingertip pulse oximeter and wrist-worn devices obtained from stroke patients admitted to the intensive care unit were analyzed. Heart rate and pulse rate variability indices and signal complexity were estimated and statistically compared to investigate the reliability of heart rate estimation using photoplethymography and whether fingertip pulse oximetry and radial photoplethymography reflect the same pulse rate variability. Heart rates were generally found to be accurately estimated by both photoplethysmographic modalities when using the electrocardiogram as a reference. Pulse rate variability analysis showed statistically comparable properties between photoplethysmographic modalities, suggesting that fingertip pulse oximetry and wrist photoplethymography reflect the same cardiovascular changes.
AB - Prolonged time-matching continuous recordings of electrocardiogram and photoplethysmographic waveforms from fingertip pulse oximeter and wrist-worn devices obtained from stroke patients admitted to the intensive care unit were analyzed. Heart rate and pulse rate variability indices and signal complexity were estimated and statistically compared to investigate the reliability of heart rate estimation using photoplethymography and whether fingertip pulse oximetry and radial photoplethymography reflect the same pulse rate variability. Heart rates were generally found to be accurately estimated by both photoplethysmographic modalities when using the electrocardiogram as a reference. Pulse rate variability analysis showed statistically comparable properties between photoplethysmographic modalities, suggesting that fingertip pulse oximetry and wrist photoplethymography reflect the same cardiovascular changes.
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U2 - 10.22489/CinC.2018.316
DO - 10.22489/CinC.2018.316
M3 - Conference contribution
AN - SCOPUS:85068752643
T3 - Computing in Cardiology
BT - Computing in Cardiology Conference, CinC 2018
PB - IEEE Computer Society
T2 - 45th Computing in Cardiology Conference, CinC 2018
Y2 - 23 September 2018 through 26 September 2018
ER -