AIMC Topic: Heart Rate

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Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets.

Sensors (Basel, Switzerland) Apr 12, 2024
ECG classification or heartbeat classification is an extremely valuable tool in cardiology. Deep learning-based techniques for the analysis of ECG signals assist human experts in the timely diagnosis of cardiac diseases and help save precious lives. ...
Deep Learning Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Humans Neural Networks, Computer Algorithms
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Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks.

Sensors (Basel, Switzerland) Apr 10, 2024
Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone insulin. The two main types of DM are type 1 (T1DM) and type 2 (T2DM). Physical activity plays a crucial role in the therapy of diabetes, benefiting both types of p...
Adult Male Humans Middle Aged Exercise Neural Networks, Computer Diabetes Mellitus, Type 1 Blood Glucose Artificial Intelligence Diabetes Mellitus ROC Curve Heart Rate Algorithms Female Diabetes Mellitus, Type 2 Blood Glucose Self-Monitoring
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MA-MIL: Sampling point-level abnormal ECG location method via weakly supervised learning.

Computer methods and programs in biomedicine Apr 9, 2024
BACKGROUND AND OBJECTIVE: Current automatic electrocardiogram (ECG) diagnostic systems could provide classification outcomes but often lack explanations for these results. This limitation hampers their application in clinical diagnoses. Previous supe...
Humans Algorithms Databases, Factual Electrocardiography Signal Processing, Computer-Assisted Supervised Machine Learning Heart Rate
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Enhancing thermal comfort prediction in high-speed trains through machine learning and physiological signals integration.

Journal of thermal biology Mar 27, 2024
Heating, Ventilation, and Air Conditioning (HVAC) systems in high-speed trains (HST) are responsible for consuming approximately 70% of non-operational energy sources, yet they frequently fail to ensure provide adequate thermal comfort for the majori...
Machine Learning Galvanic Skin Response Temperature Male Skin Temperature Air Conditioning Heart Rate Thermosensing Humans
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Heart Rate Variability Monitoring Based on Doppler Radar Using Deep Learning.

Sensors (Basel, Switzerland) Mar 22, 2024
The potential of microwave Doppler radar in non-contact vital sign detection is significant; however, prevailing radar-based heart rate (HR) and heart rate variability (HRV) monitoring technologies often necessitate data lengths surpassing 10 s, lead...
Radar Algorithms Deep Learning Heart Rate Determination Heart Rate
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Artificial intelligence predicts undiagnosed atrial fibrillation in patients with embolic stroke of undetermined source using sinus rhythm electrocardiograms.

Heart rhythm Mar 15, 2024
BACKGROUND: Artificial intelligence (AI)-enabled sinus rhythm (SR) electrocardiogram (ECG) interpretation can aid in identifying undiagnosed paroxysmal atrial fibrillation (AF) in patients with embolic stroke of undetermined source (ESUS).
Predictive Value of Tests Atrial Fibrillation Heart Rate Artificial Intelligence Embolic Stroke Algorithms Humans ROC Curve Retrospective Studies Electrocardiography Female Aged Follow-Up Studies Male Middle Aged
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Artificial-intelligence-based risk prediction and mechanism discovery for atrial fibrillation using heart beat-to-beat intervals.

Med (New York, N.Y.) Mar 15, 2024
BACKGROUND: Early diagnosis of atrial fibrillation (AF) is important for preventing stroke and other complications. Predicting AF risk in advance can improve early diagnostic efficiency. Deep learning has been used for disease risk prediction; howeve...
Artificial Intelligence Female Humans Atrial Fibrillation Heart Rate Early Diagnosis Middle Aged Risk Assessment Deep Learning Risk Factors Electrocardiography Aged Male
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Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed.

Sensors (Basel, Switzerland) Mar 15, 2024
This work aims to compare the performance of Machine Learning (ML) and Deep Learning (DL) algorithms in detecting users' heartbeats on a smart bed. Targeting non-intrusive, continuous heart monitoring during sleep time, the smart bed is equipped with...
Machine Learning Algorithms Support Vector Machine Humans Artificial Intelligence Bayes Theorem Heart Rate
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Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images.

Computer methods and programs in biomedicine Mar 6, 2024
BACKGROUND AND OBJECTIVE: Heart failure (HF) is a multi-faceted and life-threatening syndrome that affects more than 64.3 million people worldwide. Current gold-standard screening technique, echocardiography, neglects cardiovascular information regul...
Coronary Artery Disease Heart Failure Heart Rate Deep Learning Heart Humans Middle Aged
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Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Predictive Value of Tests Fluoroscopy Arrhythmias, Cardiac Heart Rate Treatment Outcome Action Potentials Operative Time Catheter Ablation Time-to-Treatment Electrophysiologic Techniques, Cardiac Female Aged Male Time Factors Electrocardiography Middle Aged Case-Control Studies Humans Artificial Intelligence Retrospective Studies
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