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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ribeiro, G., Postolache, O. & Ferrero Martín, F. (2022). A practical approach to health status monitoring based on heart rate and respiratory rate assessment. In 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA). Messina: IEEE.
Exportar Referência (IEEE) 
G. T. Ribeiro et al.,  "A practical approach to health status monitoring based on heart rate and respiratory rate assessment", in 2022 IEEE Int. Symp. on Medical Measurements and Applications (MeMeA), Messina, IEEE, 2022
Exportar BibTeX 
@inproceedings{ribeiro2022_1731965100766,
	author = "Ribeiro, G. and Postolache, O. and Ferrero Martín, F.",
	title = "A practical approach to health status monitoring based on heart rate and respiratory rate assessment",
	booktitle = "2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)",
	year = "2022",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/MEMEA54994.2022.9856576",
	publisher = "IEEE",
	address = "Messina",
	organization = "",
	url = "https://ieeexplore.ieee.org/xpl/conhome/9855895/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - A practical approach to health status monitoring based on heart rate and respiratory rate assessment
T2  - 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
AU  - Ribeiro, G.
AU  - Postolache, O.
AU  - Ferrero Martín, F.
PY  - 2022
DO  - 10.1109/MEMEA54994.2022.9856576
CY  - Messina
UR  - https://ieeexplore.ieee.org/xpl/conhome/9855895/proceeding
AB  - Photoplethysmography (PPG) is a non-invasive technique used to measure blood volume variations in tissues, presenting a huge potential for the extraction of several important physiological parameters, such as Heart Rate (HR), Respiratory Rate (RR), Blood Pressure (BP), Blood Oxygen Saturation (SpO2), Heart Rate Variability (HRV), among others. The latest developments in the field of health status monitoring based on wearable devices, present the PPG as the leading solution, characterized by increased user acceptance, with possible applications in smart environments. In this work, a practical approach was carried out regarding the estimation of HR, RR, SpO2 and HRV, based on the acquisition and analysis of the PPG signal. Furthermore, an experimental validation of the measured physiological parameters was performed. As main contributions, a new methodology is proposed for the estimation of RR, based on the analysis of the maximum peaks of the PPG signal. Another main contribution is the proposal of a dynamic model for the estimation of HRV, taking the Root Mean Square of Successive Differences (RMSSD) method, and introducing the concept of multiple timeslots with different acquisition times, thus achieving a higher accuracy. It is also important to mention the establishment of a new model for SpO2 estimation adaptable to MAX30100 PPG sensor.
ER  -