Patient-specific ECG classification by deeper CNN from generic to dedicated
This paper presents a new mechanism which is more effective for wearable devices to
classify patient-specific electrocardiogram (ECG) heartbeats. In our method, a Generic�…
classify patient-specific electrocardiogram (ECG) heartbeats. In our method, a Generic�…
Effect of cognitive fatigue, operator sex, and robot assistance on task performance metrics, workload, and situation awareness in human-robot collaboration
Advancements in robot technology are allowing for increasing integration of humans and
robots in shared space manufacturing processes. While individual task performance of the�…
robots in shared space manufacturing processes. While individual task performance of the�…
Semantic segmentation of ECG waves using hybrid channel-mix convolutional and bidirectional LSTM
AN Londhe, M Atulkar�- Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Interpretation of the ECG waves plays a vital role in analysis of cardiovascular
diseases. Therefore, many semi and fully-automatic approaches using advanced machine�…
diseases. Therefore, many semi and fully-automatic approaches using advanced machine�…
[HTML][HTML] Personalized monitoring and advance warning system for cardiac arrhythmias
Each year more than 7 million people die from cardiac arrhythmias. Yet no robust solution
exists today to detect such heart anomalies right at the moment they occur. The purpose of�…
exists today to detect such heart anomalies right at the moment they occur. The purpose of�…
[PDF][PDF] ECG feature extraction using Daubechies wavelets
SZ Mahmoodabadi, A Ahmadian…�- Proceedings of the fifth�…, 2005 - researchgate.net
In this work, we have developed and evaluated an electrocardiogram (ECG) feature
extraction system based on the multi-resolution wavelet transform. ECG signals from�…
extraction system based on the multi-resolution wavelet transform. ECG signals from�…
[HTML][HTML] Novel phonocardiography system for heartbeat detection from various locations
The paper presents evaluation of the proposed phonocardiography (PCG) measurement
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR�…
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR�…
Novel real‐time R‐wave detection algorithm based on the vectorcardiogram for accurate gated magnetic resonance acquisitions
SE Fischer, SA Wickline…�- Magnetic Resonance in�…, 1999 - Wiley Online Library
Electrocardiograph (ECG) triggered or gated magnetic resonance methods are used in
many imaging applications. Therefore, a reliable trigger signal derived from to the R‐wave of�…
many imaging applications. Therefore, a reliable trigger signal derived from to the R‐wave of�…
ECG pattern recognition and classification using non-linear transformations and neural networks: A review
N Maglaveras, T Stamkopoulos, K Diamantaras…�- International journal of�…, 1998 - Elsevier
The most widely used signal in clinical practice is the ECG. ECG conveys information
regarding the electrical function of the heart, by altering the shape of its constituent waves�…
regarding the electrical function of the heart, by altering the shape of its constituent waves�…
[BOOK][B] PPG signal analysis: An introduction using MATLAB�
M Elgendi - 2020 - taylorfrancis.com
This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using
MATLAB�. This technology is critical in the evaluation of medical and diagnostic data�…
MATLAB�. This technology is critical in the evaluation of medical and diagnostic data�…
Using wavelet transform and fuzzy neural network for VPC detection from the Holter ECG
LY Shyu, YH Wu, W Hu�- IEEE Transactions on Biomedical�…, 2004 - ieeexplore.ieee.org
A novel method for detecting ventricular premature contraction (VPC) from the Holter system
is proposed using wavelet transform (WT) and fuzzy neural network (FNN). The basic ideal�…
is proposed using wavelet transform (WT) and fuzzy neural network (FNN). The basic ideal�…