Scalar invariant transform based deep learning framework for detecting heart failures using ECG signals
Heart diseases are leading to death across the globe. Exact detection and treatment for
heart disease in its early stages could potentially save lives. Electrocardiogram (ECG) is one …
heart disease in its early stages could potentially save lives. Electrocardiogram (ECG) is one …
Adaptive neuro-fuzzy inference system for classification of ECG signals
TM Nazmy, H El-Messiry… - 2010 The 7th international …, 2010 - ieeexplore.ieee.org
This paper, presents an Intelligent diagnosis system using Hybrid approach of Adaptive
Neuro-Fuzzy Inference System (ANFIS) model for classification of Electrocardiogram (ECG) …
Neuro-Fuzzy Inference System (ANFIS) model for classification of Electrocardiogram (ECG) …
Proposal for a home sleep monitoring platform employing a smart glove
The present paper proposes the design of a sleep monitoring platform. It consists of an
entire sleep monitoring system based on a smart glove sensor called UpNEA worn during …
entire sleep monitoring system based on a smart glove sensor called UpNEA worn during …
Survey on the methods for detecting arrhythmias using heart rate signals
S Celin, K Vasanth - Journal of Pharmaceutical Sciences and …, 2017 - search.proquest.com
The electrical activity of heart is symbolized with the help of ECG signal. This ECG signal is
characterized by different peaks P, QRS, T and U that occur periodically at a particular …
characterized by different peaks P, QRS, T and U that occur periodically at a particular …
A curvelet-based lacunarity approach for ulcer detection from wireless capsule endoscopy images
A Eid, VS Charisis, LJ Hadjileontiadis… - Proceedings of the …, 2013 - ieeexplore.ieee.org
Wireless Capsule Endoscopy (WCE) is a fairly new technology that offers a low-risk, non
invasive visual inspection of the patient's digestive tract, especially the small bowel, that was …
invasive visual inspection of the patient's digestive tract, especially the small bowel, that was …
Research on the physiological and psychological impacts of extraordinary nature on emotions and restorative effects for young adults
S Hao, L Zhang, R Hou, SSY Lau, SSY Lau - Journal of Environmental …, 2024 - Elsevier
Research indicates that exposure to natural environments positively impacts both
physiological and psychological well-being. However, extraordinary, awesome landscapes …
physiological and psychological well-being. However, extraordinary, awesome landscapes …
Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques
Cardiac arrhythmias are disturbances in the rhythm of the heart manifested by irregularity or
by abnormally fast rates ('tachycardia') or abnormally slow rates ('bradycardias'). In the past …
by abnormally fast rates ('tachycardia') or abnormally slow rates ('bradycardias'). In the past …
A framework for the atrial fibrillation prediction in electrophysiological studies
Background and objective Cardiac arrhythmias are disorders in terms of speed or rhythm in
the heart's electrical system. Atrial fibrillation (AFib) is the most common sustained …
the heart's electrical system. Atrial fibrillation (AFib) is the most common sustained …
Cardiac Arrhythmia Diagnosis with an Intelligent Algorithm using Chaos Features of Electrocardiogram Signal and Compound Classifier
E Zarei, N Barimani… - Journal of AI and Data …, 2022 - jad.shahroodut.ac.ir
Cardiac Arrhythmias are known as one of the most dangerous cardiac diseases. Applying
intelligent algorithms in this area, leads into the reduction of the ECG signal processing time …
intelligent algorithms in this area, leads into the reduction of the ECG signal processing time …
QRS subtraction for atrial electrograms: flat, linear and spline interpolations
A Ahmad, JL Salinet, P Brown, JH Tuan… - Medical & biological …, 2011 - Springer
The main objective of this article is to implement and compare QRS subtraction techniques
for intra-cardiac atrial electrograms based on using the surface ECG as a reference. A band …
for intra-cardiac atrial electrograms based on using the surface ECG as a reference. A band …