AIMC Topic: Photoplethysmography

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A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques.

IEEE journal of biomedical and health informatics Apr 28, 2017
Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for unobtrusive BP measurement. However, the accuracy of this approach must be improved for it to be viable for a wide range of applications. This study pr...
Data Mining Linear Models Blood Pressure Determination Support Vector Machine Blood Pressure Signal Processing, Computer-Assisted Adult Male Photoplethysmography Electrocardiography Humans Female Young Adult
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Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter.

Physiological measurement Aug 11, 2015
This study proposes a method of automatically classifying sleep apnea/hypopnea events based on sleep states and the severity of sleep-disordered breathing (SDB) using photoplethysmogram (PPG) and oxygen saturation (SpO2) signals acquired from a pulse...
Humans Support Vector Machine Regression Analysis Sleep Apnea Syndromes Middle Aged Sleep Algorithms Wakefulness Severity of Illness Index Female Oximetry Diagnosis, Computer-Assisted Sensitivity and Specificity Photoplethysmography Male
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Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method.

Biomedical engineering online Jul 1, 2015
BACKGROUND: Heart rate variability (HRV) has been widely used in the non-invasive evaluation of cardiovascular function. Recent studies have also attached great importance to the cardiac diastolic period variability (DPV) examination. Short-term vari...
Stochastic Processes Normal Distribution Entropy Diastole Models, Cardiovascular Coronary Stenosis Periodicity Heart Rate Nonlinear Dynamics Signal-To-Noise Ratio Statistics, Nonparametric Middle Aged Photoplethysmography Electrocardiography Fuzzy Logic Computer Simulation Aged Humans Female Adult Algorithms Male
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Deep generative models for physiological signals: A systematic literature review.

Artificial intelligence in medicine Jul 1, 2025
In this paper, we present a systematic literature review on deep generative models for physiological signals, particularly electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG) and electromyogram (EMG). Compared to the existin...
Humans Deep Learning Photoplethysmography Electromyography Electrocardiography Electroencephalography Signal Processing, Computer-Assisted
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Predicting blood pressure without a cuff using a unique multi-modal wearable device and machine learning algorithm.

Computers in biology and medicine Jun 1, 2025
Blood pressure is a critical risk factor for cardiovascular diseases (CVDs), yet most adults do not monitor it frequently enough to prevent serious complications. This is in part because the traditional cuff-based method is inconvenient, uncomfortabl...
Humans Machine Learning Algorithms Photoplethysmography Blood Pressure Determination Female Blood Pressure Adult Pulse Wave Analysis Male Signal Processing, Computer-Assisted Wearable Electronic Devices
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A Physics-Integrated Deep Learning Approach for Patient-Specific Non-Newtonian Blood Viscosity Assessment using PPG.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: The aim of this study is to extract a patient-specific viscosity equation from photoplethysmography (PPG) data. An aging society has increased the need for remote, non-invasive health monitoring systems. However, the circula...
Signal Processing, Computer-Assisted Blood Viscosity Humans Neural Networks, Computer Algorithms Deep Learning Wearable Electronic Devices Photoplethysmography
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Investigating the correlation between smoking and blood pressure via photoplethysmography.

Biomedical engineering online May 12, 2025
Smoking has been widely identified for its detrimental effects on human health, particularly on the cardiovascular health. The prediction of these effects can be anticipated by monitoring the dynamic changes in vital signs and other physiological sig...
Blood Pressure Adult Humans Male Signal Processing, Computer-Assisted Photoplethysmography Heart Rate Machine Learning Electrocardiography Smoking Female Young Adult
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Validation of a fingertip home sleep apnea testing system using deep learning AI and a temporal event localization analysis.

Sleep May 12, 2025
STUDY OBJECTIVES: This paper validates TipTraQ, a compact home sleep apnea testing (HSAT) system. TipTraQ comprises a fingertip-worn device, a mobile application, and a cloud-based deep learning artificial intelligence (AI) system. The device utilize...
Mobile Applications Photoplethysmography Sleep Apnea Syndromes Sleep Apnea, Obstructive Adult Accelerometry Humans Male Polysomnography Prospective Studies Middle Aged Female Deep Learning Reproducibility of Results
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A Neural Network for Atrial Fibrillation Detection via PPG.

Studies in health technology and informatics Apr 24, 2025
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with severe complications such as ischemic stroke and heart failure. Early detection is essential for timely intervention; however, traditional diagnostic methods often lack scalab...
Atrial Fibrillation Male Smartphone Mobile Applications Photoplethysmography Humans Neural Networks, Computer Sensitivity and Specificity
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External validation of a machine learning-based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Mar 28, 2025
AIMS: The aim of this study was to perform an external validation of an automatic machine learning (ML) algorithm for heart rhythm diagnostics using smartphone photoplethysmography (PPG) recorded by patients with atrial fibrillation (AF) and atrial f...
Algorithms Female Reproducibility of Results Aged Humans Machine Learning Photoplethysmography Electrocardiography Support Vector Machine Predictive Value of Tests Signal Processing, Computer-Assisted Male Middle Aged Smartphone Mobile Applications Atrial Flutter Classification Algorithms Electrocardiography, Ambulatory Atrial Fibrillation Heart Rate Electric Countershock
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