Kamna S Balhara, Linda Regan, Eisha Chopra, Nathan Irvin
Bringing abstract concepts to life: A health humanities-based approach to teaching social determinants of health
AEM education and training
novel sensor solutions sleep monitoring home could alleviate bottlenecks sleep medical care well enable selective continuous observation long periods time contribute new insights sleep medicine beyond since especially latter case sensor data differ strongly signal number extent sensors classical polysomnography psg sensor technology automatic evaluation essential application however training automatic algorithm complicated fact development phase new sensor technology extensive comparative measurements standardized reference systems often possible therefore small datasets available order circumvent high systemspecific training data requirements employ pretraining large datasets finetuning small datasets new sensor technology enable automatic sleep phase detection small test series pretraining publicly available psg datasets finetuning 12 nights recorded new sensor technology based pregelled electrode grid capture electroencephalography eeg electrooculography eog electromyography emg f1 score across sleep phases 081 achieved wake 084 n1 062 n2 081 n3 087 rem 088 using eeg eog analysis additionally considers spatial distribution channels approach approximate classical electrode positions based specific linear combinations new sensor grid channels