Graph Signal Processing Based Classification of Noisy and Clean PPG Signals Using Machine Learning Classifiers for Intelligent Health Monitor.
Sai Priyanka SurapaneniM. Sabarimalai ManikandanPublished in: ECAI (2023)
Keyphrases
- signal processing
- machine learning
- pattern recognition
- decision trees
- machine learning algorithms
- machine learning methods
- supervised classification
- independent component analysis
- feature selection
- support vector
- classification systems
- machine learning approaches
- support vector machine
- classification method
- classification algorithm
- power quality disturbance
- svm classifier
- class labels
- supervised learning
- text classification
- classification process
- classification accuracy
- supervised machine learning
- fourier transform
- eeg signals
- training set
- classification rate
- image processing
- heart rate
- accurate classification
- multiple classifier systems
- classification models
- computer vision
- probabilistic classifiers
- improves the classification accuracy
- feature set
- roc analysis
- classification decisions
- classifier combination
- training samples
- k nearest neighbour
- training data
- feature extraction
- multiclass classification
- multi category
- data mining
- signal analysis
- multiple classifiers
- learning algorithm
- decision boundary
- individual classifiers
- roc curve
- image classification
- optimum path forest
- monitoring system
- brain computer interface
- majority voting
- health care
- knn
- signal acquisition
- rule based classifier
- model selection