Results 31 to 40 of about 678,002 (383)

Conception and realization of an IoT-enabled deep CNN decision support system for automated arrhythmia classification

open access: yesJournal of Intelligent Systems, 2022
Arrhythmias are irregular heartbeats that may be life-threatening. Proper monitoring and the right care at the right time are necessary to keep the heart healthy.
Varghese Ann   +2 more
doaj   +1 more source

Review on Drowsiness Detection [PDF]

open access: yesEAI Endorsed Transactions on Smart Cities, 2020
This paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disastersare caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs andmedicines, and
Apoorva Apoorva, D Vali, Rakesh R
doaj   +1 more source

Clinical significance of premature ventricular contraction among adult patients: protocol for a scoping review

open access: yesSystematic Reviews, 2019
Background Premature ventricular contractions (PVCs) are one of the most common arrhythmias detected from electrocardiographic (ECG) monitoring. PVCs were thought to cause lethal arrhythmias and thus were closely monitored and treated.
Sukardi Suba, Michele M. Pelter
doaj   +1 more source

A Wireless Power Transfer Based Implantable ECG Monitoring Device [PDF]

open access: yes, 2020
Implantable medical devices (IMDs) enable patients to monitor their health anytime and receive treatment anywhere. However, due to the limited capacity of a battery, their functionalities are restricted, and the devices may not achieve their intended ...
Dongwook Kim   +6 more
core   +1 more source

Evaluation of the PSO Metaheuristic Algorithm in Different Types of Sleep Apnea Diagnosis Using RR Intervals [PDF]

open access: yesJournal of Biomedical Physics and Engineering, 2023
Background: Sleep apnea is one of the most common sleep disorders that facilitating and accelerating its diagnosis will have positive results on its future trend.
Zeinab Kohzadi   +2 more
doaj   +1 more source

ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network

open access: yesIEEE Access, 2019
The classification of electrocardiogram (ECG) signals is very important for the automatic diagnosis of heart disease. Traditionally, it is divided into two steps, including the step of feature extraction and the step of pattern classification.
Jingshan Huang   +3 more
semanticscholar   +1 more source

Review of noise removal techniques in ECG signals

open access: yesIET Signal Processing, 2020
An electrocardiogram (ECG) records the electrical signal from the heart to check for different heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre-processing step which attenuates the noises and accentuates the typical ...
S. Chatterjee   +4 more
semanticscholar   +1 more source

May I Cut in? Gene Editing Approaches in Human Induced Pluripotent Stem Cells

open access: yesCells, 2017
In the decade since Yamanaka and colleagues described methods to reprogram somatic cells into a pluripotent state, human induced pluripotent stem cells (hiPSCs) have demonstrated tremendous promise in numerous disease modeling, drug discovery, and ...
Nicholas Brookhouser   +3 more
doaj   +1 more source

ECG Abnormalities and Arterial Stiffness by HIV Status among High-Risk Populations in Rakai, Uganda: A Pilot Study

open access: yesGlobal Heart, 2021
Background: People living with HIV are at increased risk for cardiovascular disease (CVD). In sub-Saharan Africa, population-based data on major CVD events such as stroke and myocardial infarction are difficult to collect. The use of proxy measures could
Rocio Enriquez   +13 more
doaj   +1 more source

ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges

open access: yesItalian National Conference on Sensors, 2020
Health monitoring and its related technologies is an attractive research area. The electrocardiogram (ECG) has always been a popular measurement scheme to assess and diagnose cardiovascular diseases (CVDs).
M. Serhani   +3 more
semanticscholar   +1 more source

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