Visual Directed Deep Breathing with Heart Rate Variability Measurement in Mobile Application

Poh Foong Lee, Ming Chien Ong, Wei Liang Soon, Chean Swee Ling, Paul E. Croarkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Deep breathing produces positive physiological effects. There is numerous, existing mobile application that measures heart rate variability. However, the study on reporting the unknown changes of the total time interval at the resting stage before and after the deep breathing at 6 cycles per min for 3 min and data mining with the mobile application is novel. In this work, the measurement of the blood flow changes on the fingertip was employing the mobile camera and developed into an android-based mobile application for measuring the heart rate variability for pre-and post-effect of a directed 6 cycles in a min deep breathing video for 3 min. To date, a total of 204 respondents shows a total of increment of Standard Deviation of normal to normal (SDNN) 43.1 with video-directed deep breathing for 6 cycles per min for 3 min in breathing length for 3 years after the android App has launched in the Google App Store. Data mining concept with the mobile application which integrated with physical measurement enables the huge sample size recruitment globally.

Original languageEnglish (US)
Title of host publication6th Kuala Lumpur International Conference on Biomedical Engineering 2021 - Proceedings of BioMed 2021
EditorsJuliana Usman, Yih Miin Liew, Mohd Yazed Ahmad, Fatimah Ibrahim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages479-487
Number of pages9
ISBN (Print)9783030907235
DOIs
StatePublished - 2022
Event6th Kuala Lumpur International Conference on Biomedical Engineering, BioMed 2021 - Virtual, Online
Duration: Jul 28 2021Jul 29 2021

Publication series

NameIFMBE Proceedings
Volume86
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference6th Kuala Lumpur International Conference on Biomedical Engineering, BioMed 2021
CityVirtual, Online
Period7/28/217/29/21

Keywords

  • Data mining
  • Deep breathing
  • Heart rate variability
  • Mobile application

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Visual Directed Deep Breathing with Heart Rate Variability Measurement in Mobile Application'. Together they form a unique fingerprint.

Cite this