Emmanuel A Onsay, Jomar F Rabajante
Measuring the unmeasurable multidimensional poverty for economic development: Datasets, algorithms, and models from the poorest region of Luzon, Philippines
Data in brief
reliable classification sleep stages crucial sleep medicine neuroscience research providing valuable insights diagnoses understanding brain states current gold standard method sleep stage classification polysomnography psg unfortunately psg expensive cumbersome process involving numerous electrodes often conducted unfamiliar clinic annotated professional although commercial devices like smartwatches track sleep performance well psg address disadvantages present feedforward neural network achieves goldstandard levels agreement using single lead electrocardiography ecg data specifically median fivestage cohens kappa 0725 large diverse dataset 5 90yearold subjects comparisons comprehensive metaanalysis betweenhuman interrater agreement confirm noninferior performance model finally developed novel loss function align training objective cohens kappa method offers inexpensive automated convenient alternative sleep stage classificationfurther enhanced realtime scoring option cardiosomnography sleep study conducted ecg could take expertlevel sleep studies outside confines clinics laboratories realistic settings advancement democratizes access highquality sleep studies considerably enhancing field sleep medicine neuroscience makes lessexpensive higherquality studies accessible broader community enabling improved sleep research personalized accessible sleeprelated healthcare interventions