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Measurement of energy expenditure du...
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Crouter, Scott E.
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Measurement of energy expenditure during laboratory and field activities.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Measurement of energy expenditure during laboratory and field activities./
作者:
Crouter, Scott E.
面頁冊數:
199 p.
附註:
Source: Dissertation Abstracts International, Volume: 66-10, Section: B, page: 5353.
Contained By:
Dissertation Abstracts International66-10B.
標題:
Health Sciences, Recreation. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3193590
ISBN:
0542378582
Measurement of energy expenditure during laboratory and field activities.
Crouter, Scott E.
Measurement of energy expenditure during laboratory and field activities.
- 199 p.
Source: Dissertation Abstracts International, Volume: 66-10, Section: B, page: 5353.
Thesis (Ph.D.)--The University of Tennessee, 2005.
The primary purpose of this dissertation was to examine the validity of heart rate (HR) and motion sensors for estimating energy expenditure (EE) during various activities. A secondary purpose was to develop a new method to improve the estimation of EE.
ISBN: 0542378582Subjects--Topical Terms:
1018003
Health Sciences, Recreation.
Measurement of energy expenditure during laboratory and field activities.
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The primary purpose of this dissertation was to examine the validity of heart rate (HR) and motion sensors for estimating energy expenditure (EE) during various activities. A secondary purpose was to develop a new method to improve the estimation of EE.
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The first aim was to examine the validity of pedometers for measuring steps, distance, and EE during treadmill walking. Ten pedometer brands were tested at five treadmill walking speeds. In general, most pedometers were accurate for measuring steps at speeds ≥ 80 m·min-1, but they were less accurate for assessing distance and calories.
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The second aim was to examine the validity of a HR monitor for estimating EE. Participants performed a maximal treadmill test. On a separate day treadmill, cycle, and rowing exercises were performed at three different intensities. During each trial EE was estimated using two Polar S410 HR monitors (one with predicted VO2max and HRmax and one with actual VO 2max and HRmax). The Polar S410 HR monitor provides a fairly accurate estimate of EE, when the actual VO2max and HRmax are used.
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The third aim compared the accuracy of the current Actigraph regression equations for predicting EE to the Actiheart, Actical, and AMP-331. Participants performed various activities that ranged from sedentary pursuits to vigorous exercise. The Actiheart HR algorithm provided the best estimate of EE over a wide range of activities. The Actical and Actigraph tended to overestimate walking and sedentary activities and underestimate most other activities.
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The fourth aim was to develop a new 2-regression model for estimating EE using the Actigraph accelerometer. The participants and methods were the same as in the third aim; however, only the Actigraph and IC were used for this aim. Forty-five tests were randomly selected for the development of the new equation, and 15 tests were used to cross-validate the new equation and compare it against existing equations. For each activity, the variability in accelerometer counts over time was used to distinguish walking/running from other activities. The new 2-regression model is a much more accurate prediction of EE then the currently published regression equations using the Actigraph accelerometer.
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