The importance of resource awareness in artificial intelligence for healthcare
Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …
range of healthcare applications, from medical image computing and analysis to continuous …
Deep learning for personalized electrocardiogram diagnosis: A review
The electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …
Designing Very Fast and Accurate Convolutional Neural Networks With Application in ICD and Smart Electrocardiograph Devices
An implantable cardioverter-defibrillator (ICD) is a device that must detect VT and VF
arrhythmias on time and treat them. In this project, three CNN networks are designed to …
arrhythmias on time and treat them. In this project, three CNN networks are designed to …
Energy consumption optimization & Improving performance in CPU of the implantable cardioverter defibrillator with using design and hardware implementation of …
Arrhythmias of the heart, including ventricular fibrillation (VF) and ventricular tachycardia
(VT), must be diagnosed and treated promptly. In order to be effective, implantable …
(VT), must be diagnosed and treated promptly. In order to be effective, implantable …
A systematic survey of data augmentation of ECG signals for AI applications
AI techniques have recently been put under the spotlight for analyzing electrocardiograms
(ECGs). However, the performance of AI-based models relies on the accumulation of large …
(ECGs). However, the performance of AI-based models relies on the accumulation of large …
A Reconfigurable Bandpass Filter with Ferroelectric Devices for Intracardiac Electrograms Monitoring
This paper introduces a novel three-stage bandpass filter for intracardiac electrograms
monitoring (IEGM), employing ferroelectric field-effect-transistor (FeFET) technology to allow …
monitoring (IEGM), employing ferroelectric field-effect-transistor (FeFET) technology to allow …
FPGA based designing Central processing unit of Implantable Cardiac Defibrillators with low energy consumption by using CNN deep neural network
The heart is one of the most important organs of the human body. Diagnosis and timely
treatment of cardiac arrhythmias are important issues in the construction of medical …
treatment of cardiac arrhythmias are important issues in the construction of medical …