Sleep quality is an index of well-being, since sleep disorders, such as sleep apnea, may constitute a health risk. A constant monitoring of subjects, especially when there are heart or respiratory diseases, is essential. The present paper aims to offer a non-invasive and comfortable sleep monitoring, by employing a BallistoCardioGraphic (BCG) signal processing. In particular, with a BCG device located below the mattress, we are able to extract the heart rate, respiratory rate and, therefore, to exploit this information to develop an automatic sleep apnea recognition algorithm. The automatic approach presented has proven to achieve accuracy and reliability and could represent a valid resource to prevent serious damages during sleep.

Physiological Parameters Extraction by Accelerometric Signal Analysis During Sleep / Senigagliesi, L.; Ricciuti, M.; Ciattaglia, G.; Gambi, E.. - 2022-:(2022), pp. 1-4. (Intervento presentato al convegno 27th IEEE Symposium on Computers and Communications, ISCC 2022 tenutosi a grc nel 2022) [10.1109/ISCC55528.2022.9912931].

Physiological Parameters Extraction by Accelerometric Signal Analysis During Sleep

Senigagliesi L.
;
Ricciuti M.;Ciattaglia G.;Gambi E.
2022-01-01

Abstract

Sleep quality is an index of well-being, since sleep disorders, such as sleep apnea, may constitute a health risk. A constant monitoring of subjects, especially when there are heart or respiratory diseases, is essential. The present paper aims to offer a non-invasive and comfortable sleep monitoring, by employing a BallistoCardioGraphic (BCG) signal processing. In particular, with a BCG device located below the mattress, we are able to extract the heart rate, respiratory rate and, therefore, to exploit this information to develop an automatic sleep apnea recognition algorithm. The automatic approach presented has proven to achieve accuracy and reliability and could represent a valid resource to prevent serious damages during sleep.
2022
978-1-6654-9792-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/309950
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