Analysis of the Accuracy of Pulse Estimation Using Smart Watches - Publication - Bridge of Knowledge

Search

Analysis of the Accuracy of Pulse Estimation Using Smart Watches

Abstract

The purpose of this paper is to perform an analysis of the accuracy of the pulse estimation by comparing readings from a smartwatch with readings from medical devices. The study required writing applications that allow continuous pulse measurement. As a result, two applications were created for the smartwatch. The first one is dedicated to Android Wear devices, while the other one is compatible with Tizen watches. The next step was to create another application using a phone with a camera and a flashlight. The current heart rate value could be obtained by putting a finger to the lens of the camera and its flashlight, followed by a suitable pulse calculation algorithm. At the end of the experiment, a short and non-obligatory form for the gender, age and cardiovascular diseases of the person could be filled and the results are recorded in the database in a way that they could be compared with the measurements from watches. After collecting the intended amount of measurements, it was necessary to send a measurement file to a computer that could calculate the heart rate estimations. Obtaining these values has allowed to draw conclusions about the accuracy and reliability of pulse measurement using a mobile devices.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 2

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
2018 11th International Conference on Human System Interaction (HSI) strony 519 - 525
Language:
English
Publication year:
2018
Bibliographic description:
WASILEWSKA K., Rumiński J.: Analysis of the Accuracy of Pulse Estimation Using Smart Watches// 2018 11th International Conference on Human System Interaction (HSI)/ : IEEE, 2018, s.519-525
DOI:
Digital Object Identifier (open in new tab) 10.1109/hsi.2018.8431154
Verified by:
Gdańsk University of Technology

seen 124 times

Recommended for you

Meta Tags