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Tri Fennia Lesmana
Researcher at Binus University
Publications - 3
Citations - 38
Tri Fennia Lesmana is an academic researcher from Binus University. The author has contributed to research in topics: Feature selection & Extreme learning machine. The author has an hindex of 2, co-authored 3 publications receiving 11 citations.
Papers
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Proceedings ArticleDOI
Sleep Stage Identification Using the Combination of ELM and PSO Based on ECG Signal and HRV
TL;DR: It can be concluded that the addition of PSO method is able to increase classification performance and comparison to ELM and Support Vector Machine (SVM) methods whose testing accuracy is lower than the combination of ELm and PSO.
Journal ArticleDOI
Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data
TL;DR: In this paper, an accurate model for classifying sleep stages by features of Heart Rate Variability (HRV) extracted from Electrocardiogram (ECG) was developed to predict the sleep stages proportion.
Proceedings ArticleDOI
Sleep stage classification using the combination of SVM and PSO
TL;DR: Wang et al. as discussed by the authors examined distinctive features related to sleep stages (wake, light sleep, deep sleep) from heart rate variability (HRV), and evaluated their usefulness to classify sleep stages.