Convolutional Autoencoding and Gaussian Mixture Clustering for Unsupervised Beat-to-Beat Heart Rate Estimation of Electrocardiograms from Wearable Sensors.
Jun ZhongDong HaiJiaxin ChengChangzhe JiaoShuiping GouYongfeng LiuHong ZhouWenliang ZhuPublished in: Sensors (2021)
Keyphrases
- gaussian mixture
- heart rate
- physical activity
- density estimation
- unsupervised learning
- wearable sensors
- expectation maximization
- mixture model
- em algorithm
- probability density function
- clustering algorithm
- closed form
- k means
- gaussian mixture model
- activity recognition
- supervised learning
- covariance matrix
- ecg signals
- reinforcement learning
- outlier detection
- continuous monitoring
- information retrieval