Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless
Multimodal Wearable System without Electroencephalography
Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless
Multimodal Wearable System without Electroencephalography
Study Objectives: We investigate using Mamba-based deep learning approaches for sleep staging on signals from ANNE One (Sibel Health, Evanston, IL), a minimally intrusive dual-sensor wireless wearable system measuring chest electrocardiography (ECG), triaxial accelerometry, and temperature, as well as finger photoplethysmography (PPG) and temperature. Methods: We obtained wearable sensor recordings …