Identification of Heart Arrhythmias by Utilizing a Deep Learning Approach of the ECG Signals on Edge Devices.
Panagiotis SeitanidisJohn GialelisGeorgia PapaconstantinouAlexandros MoschovasPublished in: Comput. (2022)
Keyphrases
- ecg signals
- deep learning
- cardiac arrhythmias
- atrial fibrillation
- mit bih arrhythmia database
- beat classification
- electrical activity
- unsupervised feature learning
- unsupervised learning
- machine learning
- weakly supervised
- deep architectures
- mental models
- heart rate
- domain specific
- natural images
- online learning
- d objects
- viewpoint
- pairwise
- multiscale
- image segmentation