AIMC Topic: Heart Rate
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer.
Scientific reports
Feb 17, 2025
Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in the time between heartbeats and offers insights into health. Artificial intelligence (AI) research aims to u...
A practical deep learning model for core temperature prediction of specialized workers in high-temperature environments.
Journal of thermal biology
Feb 16, 2025
The health issues of hazardous operations in high-temperature environments are increasing concerns to the public, especially since global warming and extreme weather conditions have made the high-temperature work more frequent and harsher. The abnorm...
Transformer-based heart language model with electrocardiogram annotations.
Scientific reports
Feb 14, 2025
This paper explores the potential of transformer-based foundation models to detect Atrial Fibrillation (AFIB) in electrocardiogram (ECG) processing, an arrhythmia specified as an irregular heart rhythm without patterns. We construct a language with t...
Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation.
Computers in biology and medicine
Feb 12, 2025
Wearable technology has expanded the applications of photoplethysmography (PPG) in remote health monitoring, enabling real-time measurement of various physiological parameters, such as heart rate (HR), heart rate variability (HRV), and respiration ra...
Deep CNN-based detection of cardiac rhythm disorders using PPG signals from wearable devices.
PloS one
Feb 12, 2025
Cardiac rhythm disorders can manifest in various ways, such as the heart rate being too fast (tachycardia) or too slow (bradycardia), irregular heartbeats (like atrial fibrillation-AF, ventricular fibrillation-VF), or the initiation of heartbeats in ...
Generative adversarial networks with fully connected layers to denoise PPG signals.
Physiological measurement
Feb 11, 2025
The detection of arterial pulsating signals at the skin periphery with Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the alternatives to the aid of PPG reconstruction with movement sensors (accelerometer and/...
Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning.
Circulation. Arrhythmia and electrophysiology
Feb 10, 2025
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respond to ablation. While any arrhythmia patient may recur after acutely successful ablation, AF is unusual in that patients may have long-term arrhythmia ...
Effects of Gait Rehabilitation Robot Combined with Electrical Stimulation on Spinal Cord Injury Patients' Blood Pressure.
Sensors (Basel, Switzerland)
Feb 6, 2025
BACKGROUND: Orthostatic hypotension can occur during acute spinal cord injury (SCI) and subsequently persist. We investigated whether a gait rehabilitation robot combined with functional electrical stimulation (FES) stabilizes hemodynamics during ort...
Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation.
Neuroinformatics
Feb 1, 2025
The bidirectional interactions between brain and heart through autonomic nervous system is the prime focus of neuro-cardiology community. The computer models designed to analyze brain and heart signals are either complex in terms of molecular and cel...
Machine learning model for menstrual cycle phase classification and ovulation day detection based on sleeping heart rate under free-living conditions.
Computers in biology and medicine
Jan 30, 2025
The accurate classification of menstrual cycle phases and detection of ovulation is critical for women's health management, particularly in addressing infertility, alleviating premenstrual syndrome, and preventing hormone-related disorders. However, ...
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