KEYWORD |
Sleep Scoring with commercial wearable device
keywords EMBEDDED SYSTEMS; OXYGEN SENSORS, MEDICAL SCIENCE, COMPLEX NETWORKS, DATA MINING
Reference persons MASSIMO VIOLANTE
Research Groups DAUIN - GR-05 - ELECTRONIC CAD & RELIABILITY GROUP - CAD
Thesis type EXPERIMENTAL, DESIGN
Description This thesis aims at developing a methodologies, based on the set of data acquired utilising commercial wearable devices, to perform accurate sleep scoring . This activity will be done in collaboration with sleep expert medical doctors and SAT (Sleep Advice Technologies Srl), and it consists in reviewing the existing literature, and in contributing developing methodologies that perform automatically the sleep scoring, improving the accuracy of existing solutions.
Required skills Programmazione, uso di linguaggi come C, Python, MATLAB
Deadline 17/11/2022
PROPONI LA TUA CANDIDATURA