Dataset Information

Validity and reliability of seismocardiography for the estimation of cardiorespiratory fitness.

ABSTRACT:

Background

Low cardiorespiratory fitness (ie, peak oxygen consumption [V.O₂peak]) is associated with cardiovascular disease and all-cause mortality and is recognized as an important clinical tool in the assessment of patients. Cardiopulmonary exercise test (CPET) is the gold standard procedure for determination of V.O₂peak but has methodological challenges as it is time-consuming and requires specialized equipment and trained professionals. Seismofit is a chest-mounted medical device for estimating V.O₂peak at rest using seismocardiography.

Objective

The purpose of this study was to investigate the validity and reliability of Seismofit V.O₂peak estimation in a healthy population.

Methods

On 3 separate days, 20 participants (10 women) underwent estimations of V.O₂peak with Seismofit (×2) and Polar Fitness Test (PFT) in randomized order and performed a graded CPET on a cycle ergometer with continuous pulmonary gas exchange measurements.

Results

Seismofit V.O₂peak showed a significant bias of -3.1 ± 2.4 mL·min^-1·kg^-1 (mean ± 95% confidence interval) and 95% limits of agreement (LoA) of ±10.8 mL·min^-1·kg^-1 compared to CPET. The mean absolute percentage error (MAPE) was 12.0%. Seismofit V.O₂peak had a coefficient of variation of 4.5% ± 1.3% and an intraclass correlation coefficient of 0.95 between test days and a bias of 0.0 ± 0.4 mL·min^-1·kg^-1 with 95% LoA of ±1.6 mL·min^-1·kg^-1 in test-retest. In addition, Seismofit showed a 2.4 mL·min^-1·kg^-1 smaller difference in 95% LoA than PFT compared to CPET.

Conclusion

The Seismofit is highly reliable in its estimation of V.O₂peak. However, based on the measurement error and MAPE >10%, the Seismofit V.O₂peak estimation model needs further improvement to be considered for use in clinical settings.

SUBMITTER: Hansen MT

PROVIDER: S-EPMC10577491 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

Validity and reliability of seismocardiography for the estimation of cardiorespiratory fitness.

Hansen Mikkel T MT Rømer Tue T Højgaard Amalie A Husted Karina K Sørensen Kasper K Schmidt Samuel E SE Dela Flemming F Helge Jørn W JW

Cardiovascular digital health journal 20230911 5

<h4>Background</h4>Low cardiorespiratory fitness (ie, peak oxygen consumption [V.O<sub>2</sub>peak]) is associated with cardiovascular disease and all-cause mortality and is recognized as an important clinical tool in the assessment of patients. Cardiopulmonary exercise test (CPET) is the gold standard procedure for determination of V.O<sub>2</sub>peak but has methodological challenges as it is time-consuming and requires specialized equipment and trained professionals. Seismofit is a chest-moun ...[more]

PMID: 37850043

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Project description:BackgroundThere is strong evidence suggesting that higher levels of cardiorespiratory fitness (CRF) are associated with a healthier metabolic profile, and that CRF can serve as a powerful predictor of morbidity and mortality. In this context, a smartphone app based on the 2-km walk test (UKK test) would provide the possibility to assess CRF remotely in individuals geographically distributed around a country or continent, and even between continents, with minimal equipment and low costs.ObjectiveThe overall aim of this study was to evaluate the validity and reliability of 2kmFIT-App developed for Android and iOS mobile operating systems to estimate maximum oxygen consumption (VO2max) as an indicator of CRF. The specific aims of the study were to determine the validity of 2kmFIT-App to track distance and calculate heart rate (HR).MethodsTwenty participants were included for field-testing validation and reliability analysis. The participants completed the UKK test twice using 2kmFIT-App. Distance and HR were measured with the app as well as with accurate methods, and VO2max was estimated using the UKK test equation.ResultsThe validity results showed the following mean differences (app minus criterion): distance (-70.40, SD 51.47 meters), time (-0.59, SD 0.45 minutes), HR (-16.75, SD 9.96 beats/minute), and VO2max (3.59, SD 2.01 ml/kg/min). There was moderate validity found for HR (intraclass correlation coefficient [ICC] 0.731, 95% CI -0.211 to 0.942) and good validity found for VO2max (ICC 0.878, 95% CI -0.125 to 0.972). The reliability results showed the following mean differences (retest minus test): app distance (25.99, SD 43.21 meters), app time (-0.15, SD 0.94 seconds), pace (-0.18, SD 0.33 min/km), app HR (-4.5, 13.44 beats/minute), and app VO2max (0.92, SD 3.04 ml/kg/min). There was good reliability for app HR (ICC 0.897, 95% CI 0.742-0.959) and excellent validity for app VO2max (ICC 0.932, 95% CI 0.830-0.973). All of these findings were observed when using the app with an Android operating system, whereas validity was poor when the app was used with iOS.ConclusionsThis study shows that 2kmFIT-App is a new, scientifically valid and reliable tool able to objectively and remotely estimate CRF, HR, and distance with an Android but not iOS mobile operating system. However, certain limitations such as the time required by 2kmFIT-App to calculate HR or the temperature environment should be considered when using the app.

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Dataset Information

Validity and reliability of seismocardiography for the estimation of cardiorespiratory fitness.

Background

Objective

Methods

Results

Conclusion

Publications

Validity and reliability of seismocardiography for the estimation of cardiorespiratory fitness.

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