Febryan Setiawan

According to our database, Febryan Setiawan authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

OSANet: Detection of Obstructive Sleep Apnea Episodes Using a DarkNet-Based Deep Learning Approach and Time-Frequency Spectrogram Features Derived from Single-Lead ECG.

Febryan Setiawan, Che-Wei Lin

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025

Development of a Sliding Window-Based Oversampling Framework for Convolutional Neural Network Sleep Stage Classification Using Polysomnographic Spectrogram Fusion.

Ai Chung, Febryan Setiawan, Cheng-Yu Lin, Che-Wei Lin

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025

2022

Development of Neuro-Degenerative Diseases' Gait Classification Algorithm Using Convolutional Neural Network and Wavelet Coherence Spectrogram of Gait Synchronization.

Febryan Setiawan, An-Bang Liu, Che-Wei Lin

IEEE Access, 2022

2021

Implementation of a Deep Learning Algorithm Based on Vertical Ground Reaction Force Time-Frequency Features for the Detection and Severity Classification of Parkinson's Disease.

Febryan Setiawan, Che-Wei Lin

Sensors, 2021

2020

Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction.

Che-Wei Lin, Tzu-Chien Wen, Febryan Setiawan

Sensors, 2020