AIMC Topic: Signal Processing, Computer-Assisted

Clear Filters Showing 461 to 470 of 1956 articles

A Deep Learning Approach for Fear Recognition on the Edge Based on Two-Dimensional Feature Maps.

IEEE journal of biomedical and health informatics Jul 2, 2024
Applying affective computing techniques to recognize fear and combining them with portable signal monitors makes it possible to create real-time detection systems that could act as bodyguards when users are in danger. With this aim, this paper presen...
Humans Adult Male Deep Learning Wearable Electronic Devices Algorithms Female Young Adult Signal Processing, Computer-Assisted Fear
View on PubMed DOI

Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks.

IEEE journal of biomedical and health informatics Jul 2, 2024
OBJECTIVE: wearable sensor technology has progressed significantly in the last decade, but its clinical usability for the assessment of obstructive sleep apnea (OSA) is limited by the lack of large and representative datasets simultaneously acquired ...
Sleep Stages Signal Processing, Computer-Assisted Sleep Apnea, Obstructive Polysomnography Aged Neural Networks, Computer Humans Young Adult Algorithms Adult Female Male Middle Aged Severity of Illness Index Electrocardiography
View on PubMed DOI

SMARTSeiz: Deep Learning With Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices.

IEEE journal of biomedical and health informatics Jul 2, 2024
The Internet of Things (IoT) is capable of controlling the healthcare monitoring system for remote-based patients. Epilepsy, a chronic brain syndrome characterized by recurrent, unpredictable attacks, affects individuals of all ages. IoT-based seizur...
Humans Neural Networks, Computer Algorithms Epilepsy Deep Learning Seizures Signal Processing, Computer-Assisted Electroencephalography Internet of Things
View on PubMed DOI

Machine learning-based atrial fibrillation detection and onset prediction using QT-dynamicity.

Physiological measurement Jul 1, 2024
. This study examines the value of ventricular repolarization using QT dynamicity for two different types of atrial fibrillation (AF) prediction.. We studied the importance of QT-dynamicity (1) in the detection and (2) the onset prediction (i.e. fore...
Signal Processing, Computer-Assisted Atrial Fibrillation Middle Aged Electrocardiography Decision Trees Humans Machine Learning Aged, 80 and over Male Female Aged
View on PubMed DOI

Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes.

Sensors (Basel, Switzerland) Jun 30, 2024
Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as construction, transportation, industry and medicine, due to the lack of monitoring vigilance in the mentioned areas. The implementation of a drowsiness dete...
Electroencephalography Signal Processing, Computer-Assisted Electrodes Algorithms Support Vector Machine Humans Sleep Stages Bayes Theorem Machine Learning
View on PubMed DOI

MSE-VGG: A Novel Deep Learning Approach Based on EEG for Rapid Ischemic Stroke Detection.

Sensors (Basel, Switzerland) Jun 29, 2024
Ischemic stroke is a type of brain dysfunction caused by pathological changes in the blood vessels of the brain which leads to brain tissue ischemia and hypoxia and ultimately results in cell necrosis. Without timely and effective treatment in the ea...
Aged Male Middle Aged Deep Learning Stroke Ischemic Stroke Humans Brain Ischemia Electroencephalography Female Signal Processing, Computer-Assisted
View on PubMed DOI

Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection.

International journal of neural systems Jun 28, 2024
This study proposes an innovative expert system that uses exclusively EEG signals to diagnose schizophrenia in its early stages. For diagnosing psychiatric/neurological disorders, electroencephalogram (EEG) testing is considered a financially viable,...
Electroencephalography Reproducibility of Results Signal Processing, Computer-Assisted Adult Humans Deep Learning Schizophrenia Neural Networks, Computer Wavelet Analysis Algorithms
View on PubMed DOI

Elbow Gesture Recognition with an Array of Inductive Sensors and Machine Learning.

Sensors (Basel, Switzerland) Jun 28, 2024
This work presents a novel approach for elbow gesture recognition using an array of inductive sensors and a machine learning algorithm (MLA). This paper describes the design of the inductive sensor array integrated into a flexible and wearable sleeve...
Machine Learning Algorithms Female Wearable Electronic Devices Humans Adult Elbow Gestures Male Signal Processing, Computer-Assisted Pattern Recognition, Automated
View on PubMed DOI

Wearable ECG Device and Machine Learning for Heart Monitoring.

Sensors (Basel, Switzerland) Jun 28, 2024
With cardiovascular diseases (CVD) remaining a leading cause of mortality, wearable devices for monitoring cardiac activity have gained significant, renewed interest among the medical community. This paper introduces an innovative ECG monitoring syst...
Algorithms Cardiovascular Diseases Wearable Electronic Devices Humans Signal Processing, Computer-Assisted Neural Networks, Computer Machine Learning Electrocardiography Monitoring, Physiologic
View on PubMed DOI

High-accuracy heart rate detection using multispectral IPPG technology combined with a deep learning algorithm.

Journal of biophotonics Jun 27, 2024
Image Photoplethysmography (IPPG) technology is a noncontact physiological parameter detection technology, which has been widely used in heart rate (HR) detection. However, traditional imaging devices still have issues such as narrower receiving spec...
Heart Rate Image Processing, Computer-Assisted Photoplethysmography Signal Processing, Computer-Assisted Algorithms Humans Male Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals