Key result
A wearable patch using seismocardiogram, electrocardiogram, and atmospheric pressure signals estimated instantaneous oxygen uptake during treadmill exercise with an R2 of 0.77.
Why the study?
To estimate instantaneous oxygen uptake VO2 with a small, low-cost wearable sensor during exercise and daily activities to enable energy expenditure monitoring in uncontrolled settings.
Can a wearable patch collecting SCG, ECG, and AP signals accurately estimate instantaneous oxygen uptake compared to a gold standard metabolic system in subjects during exercise and daily activities?
Can a wearable patch collecting SCG, ECG, and AP signals accurately estimate instantaneous oxygen uptake compared to a gold standard metabolic system in subjects during exercise and daily activities?
A minimally obtrusive wearable patch combining SCG, ECG, and AP signals can accurately estimate instantaneous oxygen uptake during both controlled exercise and daily activities.
Supports wearable VO2 estimation during exercise; leaves open prospective validation for clinical use.
Objective: To estimate instantaneous oxygen uptake VO 2 with a small, low-cost wearable sensor during exercise and daily activities in order to enable monitoring of energy expenditure (EE) in uncontrolled settings. We aim to do so using a combination of seismocardiogram (SCG), electrocardiogram (ECG) and atmospheric pressure (AP) signals obtained from a minimally obtrusive wearable device. Methods: In this study, subjects performed a treadmill protocol in a controlled environment and an outside walking protocol in an uncontrolled environment. During testing, the COSMED K5 metabolic system collected gold standard breath-by-breath (B×B) data and a custombuilt wearable patch placed on the mid-sternum collected SCG, ECG and AP signals. We extracted features from these signals to estimate the B×B VO 2 data obtained from the COSMED system. Results: In estimating instantaneous VO 2 , we achieved our best results on the treadmill protocol using a combination of SCG (frequency) and AP features (RMSE of 3.68 ± 0.98 ml/kg/min and R 2 of 0.77). For the outside protocol, we achieved our best results using a combination of SCG (frequency), ECG and AP features (RMSE of 4.3 ± 1.47 ml/kg/min and R 2 of 0.64). In estimating VO 2 consumed over one minute intervals during the protocols, our median percentage error was 15.8% for the treadmill protocol and 20.5% for the outside protocol. Conclusion: SCG, ECG and AP signals from a small wearable patch can enable accurate estimation of instantaneous VO 2 in both controlled and uncontrolled settings. SCG signals capturing variation in cardio-mechanical processes, AP signals, and state of the art machine learning models contribute significantly to the accurate estimation of instantaneous VO 2 . Significance: Accurate estimation of VO 2 with a low cost, minimally obtrusive wearable patch can enable the monitoring of VO 2 and EE in everyday settings and make the many applications of these measurements more accessible to the general public.
No takes yet. Share an insight, caveat, or question.
Shandhi et al. (2020) studied this question. Wearable patch (SCG, ECG, and atmospheric pressure signals) vs. COSMED K5 metabolic system was evaluated on Instantaneous oxygen uptake (VO2) estimation accuracy. A wearable patch using seismocardiogram, electrocardiogram, and atmospheric pressure signals estimated instantaneous oxygen uptake during treadmill exercise with an R2 of 0.77.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: