All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10306 - Optics (including laser optics and quantum optics)

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Opto-Electronic Advances

  • ISSN

    2096-4579

  • e-ISSN

    2097-3993

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CN - CHINA

  • Number of pages

    21

  • Pages from-to

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

  • UT code for WoS article

    001479662600001

  • EID of the result in the Scopus database