A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features.
Meghana KarriChandra Sekhara Rao AnnavarapuPublished in: Expert Syst. Appl. (2023)
Keyphrases
- real time
- classification accuracy
- feature vectors
- feature set
- ecg signals
- feature extraction
- feature space
- classification method
- svm classifier
- classification process
- classification models
- extracting features
- benchmark datasets
- support vector machine
- feature values
- extracted features
- feature representation
- class labels
- image classification
- feature selection algorithms
- decision trees
- rich set
- pattern recognition
- decision tree classifiers
- input features
- heart rate variability
- feature construction
- pattern classification
- high dimensionality
- training set
- detection method
- image features
- low level
- feature weights
- features extraction
- roc curve
- supervised learning
- support vector machine svm
- classification algorithm
- complex structures
- irrelevant features
- training data
- classification scheme
- feature reduction
- feature selection
- feature extraction and classification
- machine learning