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Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10257814" target="_blank" >RIV/61989100:27240/25:10257814 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.oejournal.org/article/doi/10.29026/oea.2025.240254" target="_blank" >https://www.oejournal.org/article/doi/10.29026/oea.2025.240254</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.29026/oea.2025.240254" target="_blank" >10.29026/oea.2025.240254</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10306 - Optics (including laser optics and quantum optics)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    O - Projekt operacniho programu

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Opto-Electronic Advances

  • ISSN

    2096-4579

  • e-ISSN

    2097-3993

  • Svazek periodika

    8

  • Číslo periodika v rámci svazku

    5

  • Stát vydavatele periodika

    CN - Čínská lidová republika

  • Počet stran výsledku

    21

  • Strana od-do

    "240254(1)"-"240254(21)"

  • Kód UT WoS článku

    001479662600001

  • EID výsledku v databázi Scopus