AIMC Topic: Heart Rate
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AI-Driven sleep staging from actigraphy and heart rate.
PloS one
May 17, 2023
Sleep is an important indicator of a person's health, and its accurate and cost-effective quantification is of great value in healthcare. The gold standard for sleep assessment and the clinical diagnosis of sleep disorders is polysomnography (PSG). H...
ECG-Free Heartbeat Detection in Seismocardiography Signals via Template Matching.
Sensors (Basel, Switzerland)
May 12, 2023
Cardiac monitoring can be performed by means of an accelerometer attached to a subject's chest, which produces the Seismocardiography (SCG) signal. Detection of SCG heartbeats is commonly carried out by taking advantage of a simultaneous electrocardi...
Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification.
Sensors (Basel, Switzerland)
Apr 28, 2023
Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows the need for earlier detection and classification. An abnormal signal in the heart causing arrhythmia can be detected at an earlier stage when the heal...
Automated inter-patient arrhythmia classification with dual attention neural network.
Computer methods and programs in biomedicine
Apr 20, 2023
BACKGROUND AND OBJECTIVES: Arrhythmia classification based on electrocardiograms (ECG) can enhance clinical diagnostic efficiency. However, due to the significant differences in the number of different categories of heartbeats, the performance of cla...
Cardiac arrest prediction in smokers using enhanced Artificial Bee Colony algorithm with stacked autoencoder model.
Computer methods in biomechanics and biomedical engineering
Apr 17, 2023
In the recent times, the cardiac arrest is a severe heart disease, which results in millions of annual casualties. In this article, the heart rate variability (HRV) parameters are used for predicting cardiac arrest in smokers based on the deep learni...
Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.
Sensors (Basel, Switzerland)
Apr 14, 2023
Critically ill patients often lack cognitive or communicative functions, making it challenging to assess their pain levels using self-reporting mechanisms. There is an urgent need for an accurate system that can assess pain levels without relying on ...
Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm.
PloS one
Apr 6, 2023
Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-disordered breathing. Changes in heart rate variability (HRV) can represent pathological conditions associated with autonomic nervous system dysfunction. ...
Novel AI-based HRV analysis (NAIHA) in healthcare automation and related applications.
Journal of electrocardiology
Mar 28, 2023
BACKGROUND: Heart rate variability (HRV) analysis computed on R-R interval series of ECG records with heavy burden of ectopic beats or non-sinus rhythm can significantly distort HRV parameters and hence clinically ineligible for HRV analysis. Yet, ex...
Mental Stress Detection Using a Wearable In-Ear Plethysmography.
Biosensors
Mar 17, 2023
This study presents an ear-mounted photoplethysmography (PPG) system that is designed to detect mental stress. Mental stress is a prevalent condition that can negatively impact an individual's health and well-being. Early detection and treatment of m...
Convolutional Neural Network for Individual Identification Using Phase Space Reconstruction of Electrocardiogram.
Sensors (Basel, Switzerland)
Mar 16, 2023
Electrocardiogram (ECG) biometric provides an authentication to identify an individual on the basis of specific cardiac potential measured from a living body. Convolutional neural networks (CNN) outperform traditional ECG biometrics because convoluti...
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