Accuracy of the Instantaneous Breathing and Heart Rates Estimated by Smartphone Inertial Units

Abstract

Seismocardiography (SCG) and Gyrocardiography (GCG) use lightweight, miniaturized accelerometers and gyroscopes to record, respectively, cardiac-induced linear accelerations and angular velocities of the chest wall. These inertial sensors are also sensitive to thoracic movements with respiration, which cause baseline wanderings in SCG and GCG signals. Nowadays, accelerometers and gyroscopes are widely integrated into smartphones, thus increasing the potential of SCG and GCG as cardiorespiratory monitoring tools. This study investigates the accuracy of smartphone inertial sensors in simultaneously measuring instantaneous heart rates and breathing rates. Smartphone-derived SCG and GCG signals were acquired from 10 healthy subjects at rest. The performances of heartbeats and respiratory acts detection, as well as of inter-beat intervals (IBIs) and inter-breath intervals (IBrIs) estimation, were evaluated for both SCG and GCG via the comparison with simultaneous electrocardiography and respiration belt signals. Heartbeats were detected with a sensitivity and positive predictive value (PPV) of 89.3% and 93.3% in SCG signals and of 97.3% and 97.9% in GCG signals. Moreover, IBIs measurements reported strong linear relationships (R2 > 0.999), non-significant biases, and Bland–Altman limits of agreement (LoA) of ±7.33 ms for SCG and ±5.22 ms for GCG. On the other hand, respiratory acts detection scored a sensitivity and PPV of 95.6% and 94.7% for SCG and of 95.7% and 92.0% for GCG. Furthermore, high R2 values (0.976 and 0.968, respectively), non-significant biases, and an LoA of ±0.558 s for SCG and ±0.749 s for GCG were achieved for IBrIs estimates. The results of this study confirm that smartphone inertial sensors can provide accurate measurements of both instantaneous heart rate and breathing rate without the need for additional devices.

Publication DOI: https://doi.org/10.3390/s25041094
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > Engineering for Health
College of Engineering & Physical Sciences
Additional Information: Copyright © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: Accelerometry/instrumentation,Adult,Electrocardiography/methods,Female,Heart Rate/physiology,Humans,Male,Monitoring, Physiologic/methods,Respiration,Respiratory Rate/physiology,Signal Processing, Computer-Assisted,Smartphone,Young Adult
Publication ISSN: 1424-8220
Last Modified: 27 Mar 2025 17:21
Date Deposited: 21 Feb 2025 09:55
Full Text Link:
Related URLs: https://www.mdp ... -8220/25/4/1094 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2025-02-12
Published Online Date: 2025-02-12
Accepted Date: 2025-02-10
Authors: Cinotti, Eliana
Centracchio, Jessica
Parlato, Salvatore
Esposito, Daniele
Fratini, Antonio (ORCID Profile 0000-0001-8894-461X)
Bifulco, Paolo
Andreozzi, Emilio

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