dc.contributor.author | Bahameish, M | |
dc.contributor.author | Stockman, T | |
dc.date.accessioned | 2021-08-05T09:53:56Z | |
dc.date.available | 2021-08-05T09:53:56Z | |
dc.date.issued | 2020-09-13 | |
dc.identifier.isbn | 9781728173825 | |
dc.identifier.issn | 2325-8861 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/73458 | |
dc.description.abstract | Heart rate variability (HRV) biofeedback training is known for its effectiveness in improving physical health, emotional health, and resilience by the ability to regulate heart rhythm. However, there are various challenges in delivering and interpreting the biofeedback information, which prevents an optimal experience. Therefore, this study presents the fundamentals of developing a real-time HRV biofeedback system using deep breathing exercise by exploring the minimum time window of RR-intervals resulting in a reliable analysis. Moreover, it investigates the appropriate HRV measures by examining the significant changes between resting and breathing conditions and the trends consistency across ultra-short-term segments. The overall results suggest that a minimum time window of 20-seconds can provide a reliable HRV time-domain analysis. Whereas the possible HRV measures that can be used in a real-time biofeedback system are SDNN, LF, and total power. These outcomes will contribute to the design of a self-monitoring HRV biofeedback system based on a multi-modal approach. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Fundamental Considerations of HRV Analysis in the Development of Real-Time Biofeedback Systems | en_US |
dc.type | Conference Proceeding | en_US |
dc.rights.holder | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
dc.identifier.doi | 10.22489/CinC.2020.078 | |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 2020-September | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |