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Accepted for/Published in: JMIR Perioperative Medicine

Date Submitted: Oct 10, 2019
Date Accepted: Aug 13, 2020

The final, peer-reviewed published version of this preprint can be found here:

Feasibility of Using a Single Heart Rate–Based Measure for Real-time Feedback in a Voluntary Deep Breathing App for Children: Data Collection and Algorithm Development

Petersen CL, Görges M, Todorova E, West NC, Newlove T, Ansermino JM

Feasibility of Using a Single Heart Rate–Based Measure for Real-time Feedback in a Voluntary Deep Breathing App for Children: Data Collection and Algorithm Development

JMIR Perioper Med 2020;3(2):e16639

DOI: 10.2196/16639

PMID: 33393917

PMCID: 7709837

Feasibility of using a single heart rate-based measure for real-time feedback in a voluntary deep breathing app for children: Data Collection and Algorithm Development

  • Christian L Petersen; 
  • Matthias Görges; 
  • Evgenia Todorova; 
  • Nicholas C West; 
  • Theresa Newlove; 
  • J Mark Ansermino

ABSTRACT

Background:

Deep diaphragmatic breathing (‘belly breathing’) is a popular behavioral intervention that helps children cope with anxiety, stress, and their experience of pain. Combining physiological monitoring with accessible mobile technology can motivate children to comply with this intervention through biofeedback and gaming. These innovative technologies have the potential to improve patient experience and compliance with strategies that reduce anxiety, change the experience of pain and enhance self-regulation during distressing medical procedures.

Objective:

The aim of this paper is to describe a simple biofeedback method for quantifying breathing compliance to be used in a mobile smartphone application.

Methods:

A smartphone application was developed that combined pulse oximetry with an animated protocol for paced deep breathing. We collected photoplethysmogram (PPG) data during spontaneous and subsequently paced deep breathing in children. Two measures, synchronized respiratory sinus arrhythmia (RSAsync) and the corresponding relative synchronized inspiration/expiration heart rate ratio (HR-I:Esync) were extracted from the PPG.

Results:

Data collected from 80 children aged 5-17 years showed a positive RSAsync effect in all participants during paced deep breathing, with a median [(IQR) range] HR-I:Esync ratio of 1.26 [(1.16-1.35) 1.01-1.60] during paced deep breathing compared to 0.98 [(0.96-1.02) 0.82-1.18] during spontaneous breathing (median difference 0.25, 95% confidence interval 0.23-0.30, p-value <0.001). The measured HR-I:Esync values appeared to be age invariant.

Conclusions:

An HR-I:Esync level of 1.1 was identified as an age independent threshold for programming the breathing pattern for optimal compliance in biofeedback.


 Citation

Please cite as:

Petersen CL, Görges M, Todorova E, West NC, Newlove T, Ansermino JM

Feasibility of Using a Single Heart Rate–Based Measure for Real-time Feedback in a Voluntary Deep Breathing App for Children: Data Collection and Algorithm Development

JMIR Perioper Med 2020;3(2):e16639

DOI: 10.2196/16639

PMID: 33393917

PMCID: 7709837

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.

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