Ponencia
Embedded system for non-obtrusive sleep apnea detection
Autor/es | Gaiduk, Maksym
Orcioni, Simone Conti, Massimo Seepold, Ralf Penzel, Thomas Martínez Madrid, Natividad Ortega Ramírez, Juan Antonio ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2020-07 |
Fecha de depósito | 2023-02-17 |
Publicado en |
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ISBN/ISSN | 978-1-7281-1991-5 (impreso por demanda) 978-1-7281-1990-8 (online) 2375-7477 (impreso por demanda) 2694-0604 (online) |
Resumen | This document presents a new complete standalone system for a recognition of sleep apnea using signals from the pressure sensors placed under the mattress. The developed hardware part of the system is tuned to filter and ... This document presents a new complete standalone system for a recognition of sleep apnea using signals from the pressure sensors placed under the mattress. The developed hardware part of the system is tuned to filter and to amplify the signal. Its software part performs more accurate signal filtering and identification of apnea events. The overall achieved accuracy of the recognition of apnea occurrence is 91%, with the average measured recognition delay of about 15 seconds, which confirms the suitability of the proposed method for future employment. The main aim of the presented approach is the support of the healthcare system with the cost-efficient tool for recognition of sleep apnea in the home environment. |
Cita | Gaiduk, M., Orcioni, S., Conti, M., Seepold, R., Penzel, T., Martínez Madrid, N. y Ortega Ramírez, J.A. (2020). Embedded system for non-obtrusive sleep apnea detection. En EMBC 2020: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (2276-2279), Montreal, Canadá: IEEE. |
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