Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …
most important aspects of good learning is the ability to have atypical visual attention. The …
ResNet‐50 for 12‐Lead Electrocardiogram Automated Diagnosis
N Sakli, H Ghabri, BO Soufiene… - Computational …, 2022 - Wiley Online Library
Nowadays, the implementation of Artificial Intelligence (AI) in medical diagnosis has
attracted major attention within both the academic literature and industrial sector. AI would …
attracted major attention within both the academic literature and industrial sector. AI would …
A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge …
M Sepahvand, F Abdali-Mohammadi - Information Sciences, 2022 - Elsevier
Deep learning models developed through multi-lead electrocardiogram (ECG) signals are
considered the leading methods for the automated detection of arrhythmia on computer …
considered the leading methods for the automated detection of arrhythmia on computer …
A review of arrhythmia detection based on electrocardiogram with artificial intelligence
Introduction With the widespread availability of portable electrocardiogram (ECG) devices,
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …
Real-time patient-specific ECG classification by 1D self-operational neural networks
Objective: Despitethe proliferation of numerous deep learning methods proposed for generic
ECG classification and arrhythmia detection, compact systems with the real-time ability and …
ECG classification and arrhythmia detection, compact systems with the real-time ability and …
Horizontal IoT Platform EMULSION
This article presents an overview of an Internet of Things (IoT) platform design based on a
horizontal architectural principle. The goal in applying this principle is to overcome many of …
horizontal architectural principle. The goal in applying this principle is to overcome many of …
[HTML][HTML] FedECG: A federated semi-supervised learning framework for electrocardiogram abnormalities prediction
The soaring popularity of smart devices equipped with electrocardiograms (ECG) is driving a
nationwide craze for predicting heart abnormalities. Smart ECG monitoring system has …
nationwide craze for predicting heart abnormalities. Smart ECG monitoring system has …
Ecg classification using an optimal temporal convolutional network for remote health monitoring
Increased life expectancy in most countries is a result of continuous improvements at all
levels, starting from medicine and public health services, environmental and personal …
levels, starting from medicine and public health services, environmental and personal …
[HTML][HTML] An automated machine learning approach for detecting anomalous peak patterns in time series data from a research watershed in the Northeastern United …
This paper presents an automated machine learning framework designed to assist
hydrologists in detecting anomalies in time series data generated by sensors in a research …
hydrologists in detecting anomalies in time series data generated by sensors in a research …
Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet
Introduction: Atrial fibrillation (AF) is the most common cardiac arrhythmia, which is clinically
identified with irregular and rapid heartbeat rhythm. AF puts a patient at risk of forming blood …
identified with irregular and rapid heartbeat rhythm. AF puts a patient at risk of forming blood …