Robust Arrhythmia Classification Based on QRS Detection and a Compact 1D-CNN for Wearable ECG Devices.
Nabil SaborGaras GendyHazem MohammedGuoxing WangYong LianPublished in: IEEE J. Biomed. Health Informatics (2022)
Keyphrases
- ecg signals
- mit bih arrhythmia database
- heart rate variability
- beat classification
- cellular phone
- heart rate
- robust detection
- physical activity
- machine learning
- wearable devices
- classification accuracy
- highly discriminative
- classification method
- text localization and recognition
- atrial fibrillation
- activity recognition
- text classification
- image classification
- feature selection
- pattern recognition
- neural network
- training data
- convolutional neural network
- neyman pearson
- feature vectors
- support vector machine
- higher order statistics
- spectral analysis
- low cost
- partial occlusion
- automatic detection
- object detection
- cellular neural networks
- sensor networks
- supervised learning
- mobile devices
- ubiquitous computing
- feature extraction
- detection rate
- cardiac arrhythmias
- classification algorithm