2023-02-232023-02-232020Gaiduk, M., Wehrle, D., Seepold, R. y Ortega Ramírez, J.A. (2020). Non-obtrusive system for overnight respiration and heartbeat tracking. Procedia Computer Science, 176, 2746-2755. https://doi.org/10.1016/j.procs.2020.09.282.1877-0509 (online)https://hdl.handle.net/11441/142950Polysomnography 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 and heartbeat monitoring, which provides more comfort while recording the data, is a well-motivated challenge. The system proposed in this manuscript is based on the usage of resistive pressure sensors installed under the mattress. These sensors can measure slight pressure changes provoked during breathing and heartbeat. The captured signal requires advanced processing, like applying filters and amplifiers before the analog signal is ready for the next step. Then, the output signal is digitalized and further processed by an algorithm that performs a custom filtering before it can recognize breathing and heart rate in real-time. The result can be directly visualized. Furthermore, a CSV file is created containing the raw data, timestamps, and unique IDs to facilitate further processing. The achieved results are promising, and the average deviation from a reference device is about 4bpm.application/pdf10engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/biosignal analysissleep medicineheart ratebreathinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1016/j.procs.2020.09.282