Intelligent Estimation of Exercise Induced Energy Expenditure Including Excess Post-Exercise Oxygen Consumption (EPOC) with Different Exercise Intensity
Junhyung Moon, Minsuk Oh, Soljee Kim, Kyoungwoo Lee, Junga Lee, Yoonkyung Song, Justin Y Jeon, Arnold Baca · 2023
Read Intelligent Estimation of Exercise Induced Energy Expenditure Including Excess Post-Exercise Oxygen Consumption (EPOC) with Different Exercise Intensity by Junhyung Moon, Minsuk Oh, Soljee Kim, Kyoungwoo Lee, Junga Lee, Yoonkyung Song, Justin Y Jeon, Arnold Baca (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10675648.txt.
Description
Junhyung Moon and co-authors build a smarter way to estimate energy burned in exercise, in this 2023 study. Lab calorimetry gear that measures energy use is scarce, so wearable sensors are an appealing stand-in. Their method counts energy spent during a workout and during recovery afterward. That recovery burn is called excess post-exercise oxygen consumption.
Thirty-two healthy adults did aerobic sessions at low and high effort. The team fed body traits, effort level, and heart rate into machine learning models. Tracking ran until each person's metabolic rate settled back to rest. Estimates tracked the true values very closely, with low error. Fitness tools could use such a method for fairer calorie counts.
Catalog record
| CREATOR | Junhyung Moon, Minsuk Oh, Soljee Kim, Kyoungwoo Lee, Junga Lee, Yoonkyung Song, Justin Y Jeon, Arnold Baca |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |