resumo
Personalized health services are of paramount importance for the treatment and prevention of cardiorespiratory diseases, such as hypertension. The assessment of cardiorespiratory function and biometric identification (ID) is crucial for the effectiveness of such personalized health services. To effectively and accurately monitor pulse wave signals, thus achieving the assessment of cardiorespiratory function, a wearable photonic smart wristband based on an all-polymer sensing unit (All-PSU) is proposed. The smart wristband enables the assessment of cardiorespiratory function by continuously monitoring respiratory rate (RR), heart rate (HR), and blood pressure (BP). Furthermore, it can be utilized for biometric ID purposes. Through the analysis of pulse wave signals using power spectral density (PSD), accurate monitoring of RR and HR is achieved. Additionally, utilizing peak detection algorithms for feature extraction from pulse signals and subsequently employing a variety of machine learning methods, accurate BP monitoring and biometric ID have been realized. For biometric ID, the accuracy rate is 98.55%. Aiming to monitor RR, HR, BP, and ID, our solution demonstrates advantages in integration, functionality, and monitoring precision. These enhancements may contribute to the development of personalized health services aimed at the treatment and prevention of cardiorespiratory diseases.
palavras-chave
GUIDELINES; CARDIOLOGY; SENSOR
categoria
Optics
autores
Li, WB; Long, YK; Yan, YY; Xiao, K; Wang, Z; Zheng, D; Leal-Junior, A; Kumar, S; Ortega, B; Marques, C; Li, XL; Min, R
nossos autores
Carlos Marques
Professor AuxiliarProjectos
Nano-argilas para remoção/captura de fosfatos (P) e sua reutilização como fertilizante (NATURAL)
CICECO - Aveiro Institute of Materials (UIDB/50011/2020)
CICECO - Aveiro Institute of Materials (UIDP/50011/2020)
Associated Laboratory CICECO-Aveiro Institute of Materials (LA/P/0006/2020)
agradecimentos
This research funded by the National Key R&D Program of China (2022YFE0140400) ; the National Natural Science Foundation of China (62405027, 62111530238, 62003046) ; Supporting project of major scientific research projects of Beijing Normal University at Zhuhai (ZHPT2023007) ; The work of R.Min was supported by the Tang Scholar of Beijing Normal University.The research was co-funded by the financial support of the European Union under the REFRESH-Research Excellence For REgion Sustainability and High-tech Industries project number CZ.10.03.01/00/22003/0000048 via the Operational Programme Just Transition. This work was developed within the scope of the projects CICECOAveiro Institute of Materials, UIDB/50011/2020 (DOI 10.54499/UIDB/50011/2020) , UIDP/50011/2020 (DOI 10.54499/UIDP/50011/2020) & LA/P/0006/2020 (DOI 10.54499/LA/P/0006/2020) financed by national funds through the FCT/MCTES (PIDDAC) .