3 papers
q-bio.QM2025
A robust generalizable device-agnostic deep learning model for sleep-wake determination from triaxial wrist accelerometry
Nasim Montazeri, Stone Yang, Dominik Luszczynski +5
Study Objectives: Wrist accelerometry is widely used for inferring sleep-wake state. Previous works demonstrated poor wake detection, without cross-device generalizability and vali…
q-bio.QM2025
Sleep Apnea Detection on a Wireless Multimodal Wearable Device Without Oxygen Flow Using a Mamba-based Deep Learning Approach
Dominik Luszczynski, Richard Fei Yin, Nicholas Afonin +1
Objectives: We present and evaluate a Mamba-based deep-learning model for diagnosis and event-level characterization of sleep disordered breathing based on signals from the ANNE On…
q-bio.QM2025
Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
Andrew H. Zhang, Alex He-Mo, Richard Fei Yin +9
Study Objectives: We investigate a Mamba-based deep learning approach for sleep staging on signals from ANNE One (Sibel Health, Evanston, IL), a non-intrusive dual-module wireless…