Clare Jamieson, Alexandra;
Orini, Michele;
Jones, Siana;
Chaturvedi, Nish;
Hughes, Alun D;
(2022)
A validation study of two wrist worn wearable devices for remote assessment of exercise capacity.
In:
Computing in Cardiology 2022 (CinC 2022).
Computing in Cardiology (CinC): Tampere, Finland.
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Abstract
We determined wearable device errors in assessing a 6- Minute Walk Test (6MWT). 16 healthy adults (male 7(44%), mean age±SD 27±4 years) performed a standard (6MWT-S) and modified, ‘free range’, (6MWT-FR) protocols with a Garmin and Fitbit smartwatch to measure three parameters: distance, step count and heart rate (HR). Distance during the 6MWT-FR was measured with smaller errors during 6MWT-S for both Garmin (Mean Absolute Percentage Error, MAPE=9.8% [4.6%,12.6%] vs 18.5%[13.0%,27.4%], p<0.001) and Fitbit (MAPE=9.4%[4.5%,13.3%] vs 22.7%[18.3%,29.3%], p<0.001). Steps were measured with smaller errors with Garmin (MAPE=2.3%[1.1%,2.9%]; r=0.96) than Fitbit (Fitbit: MAPE=8.1%[5.0%,12.9%]; r=0.24). Heart rate at rest, peak exercise and recovery was measured with median MAPE ranging between 1.2% and 2.9%, with no evidence of difference between the two devices. Wearable measurements of the 6MWT provide insights about exercise capacity which could be monitored and evaluated remotely.
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