Autoencoder-Based PPG Compression for Resource-Constrained Device
Suvichak Santiwongkarn(Thammasat University), Theerawit Wilaiprasitporn(Vidyasirimedhi Institute of Science and Technology), Prapun Suksompong(Thammasat University), Thitikorn Kaewlee(Vidyasirimedhi Institute of Science and Technology), Tanut Choksatchawathi(Vidyasirimedhi Institute of Science and Technology), Natakorn Kornworakarn(Thammasat University)
Cited by 0
Related Papers
Consumer Grade EEG Measuring Sensors as Research Tools: A Review
|IEEE Sensors Journal|2019|268
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
|IEEE Transactions on Biomedical Engineering|2021|175
EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection
|IEEE Transactions on Industrial Informatics|2021|159
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting
|IEEE Sensors Journal|2020|117