Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles

Accurate heart rate (HR) measurement is crucial for optimal cardiac health, and while conventional methods such as electrocardiography and photoplethysmography are widely used for continuous daily monitoring, they may face practical limitations due to their dependence on external sensors and suscept...

Full description

Saved in:
Bibliographic Details
Main Authors: Elgendi, Mohamed, Wu, Wenshan, Guan, Cuntai, Menon, Carlo
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173565
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-173565
record_format dspace
spelling sg-ntu-dr.10356-1735652024-02-16T15:35:36Z Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles Elgendi, Mohamed Wu, Wenshan Guan, Cuntai Menon, Carlo School of Computer Science and Engineering Computer and Information Science Smartphone gyroscope Heart rate monitoring Accurate heart rate (HR) measurement is crucial for optimal cardiac health, and while conventional methods such as electrocardiography and photoplethysmography are widely used for continuous daily monitoring, they may face practical limitations due to their dependence on external sensors and susceptibility to motion artifacts. In recent years, mechanocardiography (MCG)-based technologies, such as gyrocardiography (GCG) and seismocardiography (SCG), have emerged as promising alternatives to address these limitations. GCG has shown enhanced sensitivity and accuracy for HR detection compared to SCG, although its benefits are often overlooked in the context of the widespread use of accelerometers in HR monitoring applications. In this perspective, we aim to explore the potential and challenges of GCG, while recognizing that other technologies, including photoplethysmography and remote photoplethysmography, also have promising applications for HR monitoring. We propose a roadmap for future research to unlock the transformative capabilities of GCG for everyday heart rate monitoring. Nanyang Technological University Published version This project was a collaboration between ETH Zurich in Switzerland and Nanyang Technical University in Singapore, and it was supported by the Chen-Ning Yang Scholars Programme in Singapore. Open access funding by ETH Zurich. 2024-02-14T04:56:59Z 2024-02-14T04:56:59Z 2023 Journal Article Elgendi, M., Wu, W., Guan, C. & Menon, C. (2023). Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles. Frontiers in Cardiovascular Medicine, 10, 1237043-. https://dx.doi.org/10.3389/fcvm.2023.1237043 2297-055X https://hdl.handle.net/10356/173565 10.3389/fcvm.2023.1237043 37692045 2-s2.0-85170260064 10 1237043 en Frontiers in Cardiovascular Medicine © 2023 Elgendi, Wu, Guan and Menon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Smartphone gyroscope
Heart rate monitoring
spellingShingle Computer and Information Science
Smartphone gyroscope
Heart rate monitoring
Elgendi, Mohamed
Wu, Wenshan
Guan, Cuntai
Menon, Carlo
Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles
description Accurate heart rate (HR) measurement is crucial for optimal cardiac health, and while conventional methods such as electrocardiography and photoplethysmography are widely used for continuous daily monitoring, they may face practical limitations due to their dependence on external sensors and susceptibility to motion artifacts. In recent years, mechanocardiography (MCG)-based technologies, such as gyrocardiography (GCG) and seismocardiography (SCG), have emerged as promising alternatives to address these limitations. GCG has shown enhanced sensitivity and accuracy for HR detection compared to SCG, although its benefits are often overlooked in the context of the widespread use of accelerometers in HR monitoring applications. In this perspective, we aim to explore the potential and challenges of GCG, while recognizing that other technologies, including photoplethysmography and remote photoplethysmography, also have promising applications for HR monitoring. We propose a roadmap for future research to unlock the transformative capabilities of GCG for everyday heart rate monitoring.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Elgendi, Mohamed
Wu, Wenshan
Guan, Cuntai
Menon, Carlo
format Article
author Elgendi, Mohamed
Wu, Wenshan
Guan, Cuntai
Menon, Carlo
author_sort Elgendi, Mohamed
title Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles
title_short Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles
title_full Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles
title_fullStr Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles
title_full_unstemmed Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles
title_sort revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles
publishDate 2024
url https://hdl.handle.net/10356/173565
_version_ 1794549372758786048