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Artículo
Automatic sleep stages classification using respiratory, heart rate and movement signals
(IOPScience, 2018-12)
This paper presents an algorithm for non-invasive sleep stage identification using respiratory, heart rate and movement signals. The algorithm is part of a system suitable for longterm monitoring in a home environment, ...
Artículo
Non-obtrusive system for overnight respiration and heartbeat tracking
(ScienceDirect, 2020)
Polysomnography is a gold standard for a sleep study, and it provides very accurate results, but its cost (both personnel and material) are quite high. Therefore, the development of a low-cost system for overnight breathing ...