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A Smart System for the Contactless Measurement of Energy Expenditure
Mark Sprowls1,2, Shaun Victor1,2, Sabrina Jimena Mora2
1School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ 85281, USA.
The novel Smart Pad system accurately measures energy expenditure (EE) using room CO2, eliminating the need for wearable devices. This innovation offers a more accessible method for tracking metabolic health and guiding obesity treatments.
Area of Science:
- Metabolic Physiology
- Biomedical Engineering
- Environmental Monitoring
Background:
- Energy Expenditure (EE) is crucial for obesity treatment and typically measured using methods requiring facial accessories.
- Existing technologies for measuring EE, such as those relying on oxygen consumption (VO2) or carbon dioxide production (VCO2), are often cumbersome.
Purpose of the Study:
- To evaluate a novel Smart Pad system for measuring EE via ambient CO2 transients, removing the need for wearable sensors.
- To assess the accuracy and influence of measurement duration on the Smart Pad's ability to measure resting EE (REE) and exercise VCO2.
Main Methods:
- The Smart Pad system measured VCO2 by analyzing ambient CO2 concentration changes within a room.
- Measurements of REE and exercise VCO2 were taken using both the Smart Pad and a reference instrument.
- The system was validated across a range of body mass indexes (BMI) and EE levels.
Main Results:
- The Smart Pad achieved 90% accuracy for REE measurements (14-19 min) and exercise VCO2 (4.8-7.0 min) with a known air exchange rate.
- Validation across BMIs from 18.8 to 31.4 kg/m2 confirmed system accuracy for REE ranges of ~1200 to ~3000 kcal/day.
- A new model for REE measurement, independent of lambda calibration, showed nearly 100% agreement with reference instruments (R=0.937).
Conclusions:
- The Smart Pad offers a non-invasive, accurate method for measuring energy expenditure without facial accessories.
- The developed model enhances REE measurement accuracy, simplifying clinical applications for obesity management.
- This technology has the potential to improve accessibility and adherence in metabolic monitoring and weight management programs.
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