Validity and reliability of seismocardiography for the estimation of cardiorespiratory fitness

Mikkel T Hansen, Tue Rømer, Amalie Højgaard, Karina Husted, Kasper Sørensen, Samuel E Schmidt, Flemming Dela, Jørn W Helge

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.

OriginalsprogEngelsk
TidsskriftCardiovascular digital health journal
Vol/bind4
Udgave nummer5
Sider (fra-til)155-163
Antal sider9
ISSN2666-6936
DOI
StatusUdgivet - okt. 2023

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