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Automated myocardial infarction and angina detection using second derivative of photoplethysmography
Photoplethysmography (PPG) based healthcare devices have gained enormous interest in the detection of cardiac abnormalities. Limited research has...
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Towards PPG-based anger detection for emotion regulation
BackgroundAnger dyscontrol is a common issue after traumatic brain injury (TBI). With the growth of wearable physiological sensors, there is new...
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Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study
PurposePhotoplethysmography measurement of heart rate with wrist-worn trackers has been introduced in healthy individuals. However, additional...
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Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework
The markers that help to predict th function of a cardiovascular system are hemodynamic parameters like blood pressure (BP), stroke volume, heart...
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Artifacts classification and apnea events detection in neck photoplethysmography signals
The novel pulse oximetry measurement site of the neck is a promising location for multi-modal physiological monitoring. Specifically, in the context...
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DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model
AbstractContinuous blood pressure (BP) provides essential information for monitoring one’s health condition. However, BP is currently monitored using...
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Photoplethysmography temporal marker-based machine learning classifier for anesthesia drug detection
Anesthesia drug overdose hazards and lack of gold standards in anesthesia monitoring lead to an urgent need for accurate anesthesia drug detection....
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Photoplethysmography-Based Respiratory Rate Estimation Algorithm for Health Monitoring Applications
PurposeRespiratory rate can provide auxiliary information on the physiological changes within the human body, such as physical and emotional stress....
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Synchronized wearables for the detection of haemodynamic states via electrocardiography and multispectral photoplethysmography
Cardiovascular health is typically monitored by measuring blood pressure. Here we describe a wireless on-skin system consisting of synchronized...
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Effects of illuminance intensity on the green channel of remote photoplethysmography (rPPG) signals
Point-of-care remote photoplethysmography (rPPG) devices that utilize low-cost RGB cameras have drawn considerable attention due to their convenience...
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A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals
In order to realize high-accuracy heart rate (HR) estimation based on photoplethysmography (PPG) under the scenes of low signal-to-noise ratio (SNR)...
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Accuracy of wearable electronic device compared to manual and automatic methods of blood pressure determination
Blood pressure (BP) is the main biomarker for monitoring patients, as its lack of control above values considered normal is a modifiable risk factor...
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Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance
ObjectiveThe maturation of neural network-based techniques in combination with the availability of large sleep datasets has increased the interest in...
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Enhanced premature ventricular contraction pulse detection and classification using deep convolutional neural network
Access to accurate and precise monitoring systems for cardiac arrhythmia could contribute significantly to preventing damage and subsequent heart...
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Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review
Out-of-hospital cardiac arrest (OHCA) is a major health problem, with a poor survival rate of 2–11%. For the roughly 75% of OHCAs that are...
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Cuff-less blood pressure estimation from photoplethysmography signal and electrocardiogram
In recent studies, the physiological parameters derived from human vital signals are found as the status response of the heart and arteries. In this...
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Cardiopulmonary Coupling
Cardiopulmonary coupling (CPC) is a technique that generates sleep spectrogram by calculating the cross-spectral power and coherence of heart rate...
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Pulse Oximetry: The Working Principle, Signal Formation, and Applications
Pulse oximeters are routinely used in various medical-grade and consumer-grade applications. They can be used to estimate, for example, blood oxygen...
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Pain Monitoring Using Heart Rate Variability and Photoplethysmograph-Derived Parameters by Binary Logistic Regression
PurposeTo construct a pain classification model using binary logistic regression to calculate pain probability and monitor pain based on heart rate...
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A new approach to HR monitoring using photoplethysmographic signals during intensive physical exercise
The use of photoplethysmography (PPG) on the wrist to measure physiological indicators has attracted wide attention because of the portability and...
