105 citations · 198 across the 3 of their papers we have counts for
3 papers
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing
Tanut Choksatchawathi, Guntitat Sawadwuthikul, Punnawish Thuwajit +7
Detecting obstructive sleep apnea (OSA) is essential for diagnosing and managing sleep health. Traditionally, this involves clinical settings with hardly accessible processes. We p…
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB
Maytus Piriyajitakonkij, Patchanon Warin, Payongkit Lakhan +7
Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human…
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn +8
Identifying bio-signals based-sleep stages requires time-consuming and tedious labor of skilled clinicians. Deep learning approaches have been introduced in order to challenge the…