A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection.
Luca Cerny OliveiraZhengfeng LaiWenbo GengHeather SiefkesChen-Nee ChuahPublished in: CHASE (2021)
Keyphrases
- machine learning
- detection algorithm
- signal detection
- learning algorithm
- matched filter
- low signal to noise ratio
- false alarms
- automated analysis
- machine learning approaches
- detection accuracy
- false positives
- weak signal
- detection rate
- machine learning algorithms
- signal processing
- computer science
- computer vision
- detection method
- automatic detection
- decision trees
- machine learning methods
- active learning
- explanation based learning
- feature selection
- data driven
- information extraction
- data mining
- object detection
- data sets
- compressive sensing
- image processing
- artificial intelligence
- data analysis
- computer aided
- high frequency
- frequency domain
- knowledge discovery
- non stationary
- support vector machine
- image compression
- computational intelligence
- supervised learning