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Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study.

J Med Internet Res
Park C, Han C, Jang SK, Kim H, Kim S, Kang BH, Jung K, Yoon D.   +7 more
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A LSTM-Based Realtime Signal Quality Assessment for Photoplethysmogram and Remote Photoplethysmogram

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
Monitoring physiological parameters is very important to access individuals’ health status. Recent years, remote photoplethysmogram (rPPG) captured from human face by consumer-level cameras is used to estimate heart rate (HR). However, remote sensing signals are more easily affected by motion artifacts and environmental noise, which make the evaluation
Haoyuan Gao, Xiaopei Wu, Chenyun Shi, Qing Gao, Jidong Geng   +4 more
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Reconstructed Dynamics of the Imaging Photoplethysmogram

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
Human photoplethysmogram (PPG) is one of the signals widely applied for health monitoring. Development of the new techniques made possible evolution of traditional contact PPG which was measured at red and near-infrared light (NIR) to the contactless, imaging PPG (iPPG) that can be recorded at various light wavelengths, including ambient visible light.
Nina, Sviridova, Vladimir, Savchenko, Maria, Savchenko, Kazuyuki, Aihara, Kunihiko, Okada, Tiejun, Zhao   +5 more
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Multiparameter Respiratory Rate Estimation From the Photoplethysmogram

IEEE Transactions on Biomedical Engineering, 2013
We present a novel method for estimating respiratory rate in real time from the photoplethysmogram (PPG) obtained from pulse oximetry. Three respiratory-induced variations (frequency, intensity, and amplitude) are extracted from the PPG using the Incremental-Merge Segmentation algorithm.
Karlen Walter, Raman Srinivas, Ansermino J Mark, Dumont G   +3 more
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Photoplethysmogram reflection index and aging

SPIE Proceedings, 2011
This study conducted to investigate and study the effect of aging on Photoplethysmogram (PPG) signal and the effects of aging on the calculations of reflection index (RI). The results showed that PPG is highly affected by aging which noteworthy to be observed by the variations of PPG contour.
Yousef K. Qawqzeh, M. B. I. Reaz, O. Maskon, Kalaivani Chellappan, M. A. M. Ali   +4 more
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Estimating instantaneous respiratory rate from the photoplethysmogram

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
The photoplethysmogram (PPG) obtained from pulse oximetry shows the local changes of blood volume in tissues. Respiration induces variation in the PPG baseline due to the variation in venous blood return during each breathing cycle. We have proposed an algorithm based on the synchrosqueezing transform (SST) to estimate instantaneous respiratory rate ...
Parastoo, Dehkordi, Ainara, Garde, Behnam, Molavi, Christian L, Petersen, J Mark, Ansermino, Guy A, Dumont   +5 more
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Classifying nocturnal blood pressure patterns using photoplethysmogram features

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Circadian rhythms in blood pressure (BP) may in some cases be indicative of an increased risk of adverse cardiovascular events. However, current methods for assessing these rhythms can be disruptive to sleep, work, and daily activities. Features of the photoplethysmogram (PPG), which can be non-invasively and unobtrusively recorded, have been suggested
Finnegan, E, Davidson, S, Harford, M, Jorge, J, Villarroel, M, Tarassenko, L   +5 more
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Frequency analysis of photoplethysmogram and its derivatives

Computer Methods and Programs in Biomedicine, 2015
There are a limited number of studies on heat stress dynamics during exercise using the photoplethysmogram (PPG). We investigate the PPG signal and its derivatives for heat stress assessment using Welch (non-parametric) and autoregressive (parametric) spectral estimation methods.
Mohamed, Elgendi, Richard R, Fletcher, Ian, Norton, Matt, Brearley, Derek, Abbott, Nigel H, Lovell, Dale, Schuurmans   +6 more
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Detecting Exercise Induced Stress using the Photoplethysmogram

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
The effect of exercise on the cardiovascular system has been studied extensively using a wide range of physiological sensors. Athletes now commonly use EKG-based monitors to ascertain heart rate, but these devices cannot directly monitor the level of physical stress.
Stephen Paul, Linder, Suzanne, Wendelken, Jeffrey, Clayman   +2 more
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