ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network.
Jing ZhangAiping LiuMin GaoXiang ChenXu ZhangXun ChenPublished in: Artif. Intell. Medicine (2020)
Keyphrases
- multi class
- recurrent neural networks
- spatio temporal
- object detection
- beat classification
- multi class object detection
- mit bih arrhythmia database
- ecg signals
- feed forward
- neural network
- multi class classification
- support vector machine
- complex valued
- recurrent networks
- echo state networks
- reservoir computing
- multiple classes
- multi class boosting
- pairwise
- binary classifiers
- heart rate variability
- hidden layer
- cost sensitive
- feature selection
- back propagation
- multi class classifier
- multi class svm
- binary classification
- artificial neural networks
- network architecture
- binary classification problems
- natural images
- feature vectors
- machine learning
- data mining