AIMC Topic: Heart Rate

Clear Filters Showing 181 to 190 of 559 articles

DDCNN: A Deep Learning Model for AF Detection From a Single-Lead Short ECG Signal.

IEEE journal of biomedical and health informatics Oct 4, 2022
With the popularity of the wireless body sensor network, real-time and continuous collection of single-lead electrocardiogram (ECG) data becomes possible in a convenient way. Data mining from the collected single-lead ECG waves has therefore aroused ...
Humans Electrocardiography Atrial Fibrillation Heart Rate Neural Networks, Computer Deep Learning
View on PubMed DOI

Toward Mental Effort Measurement Using Electrodermal Activity Features.

Sensors (Basel, Switzerland) Sep 28, 2022
The ability to monitor mental effort during a task using a wearable sensor may improve productivity for both work and study. The use of the electrodermal activity (EDA) signal for tracking mental effort is an emerging area of research. Through analys...
Machine Learning Algorithms Humans Galvanic Skin Response Monitoring, Physiologic Heart Rate
View on PubMed DOI

Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data.

Sensors (Basel, Switzerland) Sep 17, 2022
Diagnosis of cardiovascular diseases is an urgent task because they are the main cause of death for 32% of the world's population. Particularly relevant are automated diagnostics using machine learning methods in the digitalization of healthcare and ...
Humans Heart Rate Myocardium Myocardial Infarction Machine Learning Electrocardiography
View on PubMed DOI

Pulse Signal Analysis Based on Deep Learning Network.

BioMed research international Sep 15, 2022
Pulse signal is one of the most important physiological features of human body, which is caused by the cyclical contraction and diastole. It has great research value and broad application prospect in the detection of physiological parameters, the dev...
Signal Processing, Computer-Assisted Algorithms Humans Heart Rate Deep Learning Wavelet Analysis Neural Networks, Computer
View on PubMed DOI

Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation.

Physiological measurement Sep 9, 2022
We describe an automatic classifier of arrhythmias based on 12-lead and reduced-lead electrocardiograms. Our classifier comprises four modules: scattering transform (ST), phase harmonic correlation (PHC), depthwise separable convolutions (DSC), and a...
Heart Rate Electrocardiography Arrhythmias, Cardiac Humans Neural Networks, Computer Algorithms
View on PubMed DOI

A Deep Neural Network Ensemble Classifier with Focal Loss for Automatic Arrhythmia Classification.

Journal of healthcare engineering Sep 9, 2022
Automated electrocardiogram classification techniques play an important role in assisting physicians in diagnosing arrhythmia. Among these, the automatic classification of single-lead heartbeats has received wider attention due to the urgent need for...
Electrocardiography Humans Arrhythmias, Cardiac Neural Networks, Computer Heart Rate Algorithms
View on PubMed DOI

Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks.

International journal of environmental research and public health Aug 29, 2022
The high number of fatal crashes caused by driver drowsiness highlights the need for developing reliable drowsiness detection methods. An ideal driver drowsiness detection system should estimate multiple levels of drowsiness accurately without interv...
Respiration Neural Networks, Computer Electrocardiography Heart Rate Wakefulness Humans
View on PubMed DOI

Analysis of Therapeutic Effect of Elderly Patients with Severe Heart Failure Based on LSTM Neural Model.

Computational intelligence and neuroscience Aug 28, 2022
In recent years, cardiovascular-related diseases have become the "number one killer" threatening human life and health and have received much attention. The timely and accurate detection and diagnosis of arrhythmias and heart failure are relatively c...
Heart Failure Heart Rate Quality of Life Neural Networks, Computer Humans Deep Learning Aged
View on PubMed DOI

Use of Deep Learning to Detect the Maternal Heart Rate and False Signals on Fetal Heart Rate Recordings.

Biosensors Aug 27, 2022
We have developed deep learning models for automatic identification of the maternal heart rate (MHR) and, more generally, false signals (FSs) on fetal heart rate (FHR) recordings. The models can be used to preprocess FHR data prior to automated analy...
Labor, Obstetric Heart Rate Heart Rate, Fetal Female Deep Learning Humans Electrocardiography Pregnancy Cardiotocography
View on PubMed DOI

A review of arrhythmia detection based on electrocardiogram with artificial intelligence.

Expert review of medical devices Aug 25, 2022
INTRODUCTION: With the widespread availability of portable electrocardiogram (ECG) devices, there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia mainly relies on the rules of medical knowledge, which are insuffic...
Humans Arrhythmias, Cardiac Artificial Intelligence Heart Rate Algorithms Electrocardiography
View on PubMed DOI
Popular Topics
Recent Journals