AIMC Topic: Photoplethysmography

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BP-Net: Monitoring "Changes" in Blood Pressure Using PPG With Self-Contrastive Masking.

IEEE journal of biomedical and health informatics Dec 5, 2024
Estimating blood pressure (BP) values from physiological signals (e.g., photoplethysmogram (PPG)) using deep learning models has recently received increased attention, yet challenges remain in terms of models' generalizability. Here, we propose takin...
Female Adult Male Humans Algorithms Blood Pressure Determination Blood Pressure Signal Processing, Computer-Assisted Middle Aged Deep Learning Photoplethysmography
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Raw photoplethysmogram waveforms versus peak-to-peak intervals for machine learning detection of atrial fibrillation: Does waveform matter?

Computer methods and programs in biomedicine Nov 28, 2024
BACKGROUND: Machine learning-based analysis can accurately detect atrial fibrillation (AF) from photoplethysmograms (PPGs), however the computational requirements for analyzing raw PPG waveforms can be significant. The analysis of PPG-derived peak-to...
Photoplethysmography Signal Processing, Computer-Assisted Atrial Fibrillation Middle Aged Smartphone Neural Networks, Computer Machine Learning Algorithms Humans Female Aged Male
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Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring.

Sensors (Basel, Switzerland) Nov 26, 2024
Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screening. Remote photoplethysmography (rPPG) is a non-contact technique to obtain information about heart pulse by analyzing the changes in the light inten...
Young Adult Adult Male Middle Aged Photoplethysmography Body Mass Index Machine Learning Algorithms Female Humans Telemedicine Support Vector Machine Heart Rate Monitoring, Physiologic
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A non-invasive heart rate prediction method using a convolutional approach.

Medical & biological engineering & computing Nov 15, 2024
The research focuses on leveraging convolutional neural networks (CNNs) to enhance the analysis of physiological signals, specifically photoplethysmogram (PPG) data which is a valuable tool for non-invasive heart rate prediction. Recognizing the glob...
Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Heart Rate Male Photoplethysmography
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MIMIC-BP: A curated dataset for blood pressure estimation.

Scientific data Nov 15, 2024
Blood pressure (BP) is one of the most prominent indicators of potential cardiovascular disorders. Traditionally, BP measurement relies on inflatable cuffs, which is inconvenient and limit the acquisition of such important health-related information ...
Male Deep Learning Photoplethysmography Humans Electrocardiography Blood Pressure Determination Blood Pressure
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Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review.

Sensors (Basel, Switzerland) Nov 9, 2024
Machine learning algorithms have brought remarkable advancements in detecting motion artifacts (MAs) from the photoplethysmogram (PPG) with no measured or synthetic reference data. However, no study has provided a synthesis of these methods, let alon...
Artifacts Humans Machine Learning Algorithms Photoplethysmography Signal Processing, Computer-Assisted Motion
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GloGen: PPG prompts for few-shot transfer learning in blood pressure estimation.

Computers in biology and medicine Oct 8, 2024
With the rapid advancements in machine learning, its applications in the medical field have garnered increasing interest, particularly in non-invasive health monitoring methods. Blood pressure (BP) estimation using Photoplethysmogram (PPG) signals pr...
Signal Processing, Computer-Assisted Machine Learning Female Photoplethysmography Male Humans Blood Pressure Determination Blood Pressure
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Highly Sensitive Perovskite Photoplethysmography Sensor for Blood Glucose Sensing Using Machine Learning Techniques.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 20, 2024
Accurate non-invasive monitoring of blood glucose (BG) is a challenging issue in the therapy of diabetes. Here near-infrared (NIR) photoplethysmography (PPG) sensor based on a vapor-deposited mixed tin-lead hybrid perovskite photodetector is develope...
Oxides Photoplethysmography Humans Calcium Compounds Titanium Machine Learning Diabetes Mellitus Blood Glucose Equipment Design
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Inferring ECG Waveforms from PPG Signals with a Modified U-Net Neural Network.

Sensors (Basel, Switzerland) Sep 19, 2024
There are two widely used methods to measure the cardiac cycle and obtain heart rate measurements: the electrocardiogram (ECG) and the photoplethysmogram (PPG). The sensors used in these methods have gained great popularity in wearable devices, which...
Electrocardiography Algorithms Humans Signal Processing, Computer-Assisted Wearable Electronic Devices Neural Networks, Computer Heart Rate Photoplethysmography
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PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signal.

Physical and engineering sciences in medicine Sep 17, 2024
Breathing conditions affect a wide range of people, including those with respiratory issues like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can monitor breathing. However, current methods have limitations due to manual...
Respiration Photoplethysmography Monitoring, Physiologic Signal Processing, Computer-Assisted Humans Deep Learning
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