Literature DB >> 28850303

Influence of Accelerometer Placement and/or Heart Rate on Energy Expenditure Prediction during Uphill Exercise.

Terry B J Kuo1,2,3,4,5,6, Jia-Yi Li1,2,7, Chung-Yu Chen2,5, Yu-Cheng Lin1,2, Mei-Wun Tsai8, Shun-Ping Lin9, Cheryl C H Yang1,2,3,4.   

Abstract

Studies using a triaxial accelerometer and heart rate (HR) simultaneously for estimating energy expenditure (EE) during uphill exercise are rare. Exploring the optimal location for placing the accelerometer for predicting EE during uphill exercise is essential. Sixteen healthy male participants (M ± SEM; age 25.00 ± 0.61 years; body weight 74.13 ± 2.51 kg; body height 1.74 ± 0.01 m; body mass index 24.30 ± 0.63 kg/m2) exercised on a treadmill under 12 conditions (4 speeds and 3 gradients) on 3 days. Triaxial accelerometers, an HR recorder, and a metabolic measurement system were simultaneously used. Accelerometer outputs from various anatomical locations (upper arm, chest, lower back, waist, thigh, and instep) showed significant positive correlations with EE (0.819, 0.846, 0.816, 0.820, 0.672, and 0.669, respectively; p < .05). The linear regression equation for changes in HR showed the highest coefficient of determination (r2) of .837 with 87.9% reliability. When the HR signal was included, the r2 value (> .842) and reliability (87.9%) between the accelerometer outputs and EE improved. Accelerometer outputs from the waist position alone provide highly accurate EE values. Using both accelerometer outputs and HR for EE estimation during uphill exercise is feasible and improves the accuracy of EE prediction.

Entities:  

Keywords:  energy expenditure; heart rate; triaxial accelerometer; uphill exercise

Mesh:

Year:  2017        PMID: 28850303     DOI: 10.1080/00222895.2017.1306481

Source DB:  PubMed          Journal:  J Mot Behav        ISSN: 0022-2895            Impact factor:   1.328


  10 in total

1.  Reliability and validity of the physical activity monitor for assessing energy expenditures in sedentary, regularly exercising, non-endurance athlete, and endurance athlete adults.

Authors:  Chun-Hao Chang; Yi-Ju Hsu; Fang Li; Yu-Tsai Tu; Wei-Lun Jhang; Chih-Wen Hsu; Chi-Chang Huang; Chin-Shan Ho
Journal:  PeerJ       Date:  2020-08-24       Impact factor: 2.984

2.  Mouth puffing phenomena of patients with obstructive sleep apnea when mouth-taped: device's efficacy confirmed with physical video observation.

Authors:  Je-Yang Jau; Terry B J Kuo; Lieber P H Li; Tien-Yu Chen; Chun-Ting Lai; Pin-Hsuan Huang; Cheryl C H Yang
Journal:  Sleep Breath       Date:  2022-03-11       Impact factor: 2.816

3.  Correction of estimation bias of predictive equations of energy expenditure based on wrist/waist-mounted accelerometers.

Authors:  Chin-Shan Ho; Chun-Hao Chang; Kuo-Chuan Lin; Chi-Chang Huang; Yi-Ju Hsu
Journal:  PeerJ       Date:  2019-11-04       Impact factor: 2.984

4.  Analyzing walking speeds with ankle and wrist worn accelerometers in a cohort with myotonic dystrophy.

Authors:  Aura Cecilia Jimenez-Moreno; Sarah J Charman; Nikoletta Nikolenko; Maxwell Larweh; Chris Turner; Grainne Gorman; Hanns Lochmüller; Michael Catt
Journal:  Disabil Rehabil       Date:  2018-07-10       Impact factor: 3.033

5.  Energy Expenditure Estimation of Tabata by Combining Acceleration and Heart Rate.

Authors:  Yiping Yan; Qingguo Chen
Journal:  Front Public Health       Date:  2022-02-07

6.  Ergonomics Design and Assistance Strategy of A-Suit.

Authors:  Leiyu Zhang; Xiang Gao; Ying Cui; Jianfeng Li; Ruidong Ge; Zhenxing Jiao; Feiran Zhang
Journal:  Micromachines (Basel)       Date:  2022-07-15       Impact factor: 3.523

7.  Feasibility of the Energy Expenditure Prediction for Athletes and Non-Athletes from Ankle-Mounted Accelerometer and Heart Rate Monitor.

Authors:  Chin-Shan Ho; Chun-Hao Chang; Yi-Ju Hsu; Yu-Tsai Tu; Fang Li; Wei-Lun Jhang; Chih-Wen Hsu; Chi-Chang Huang
Journal:  Sci Rep       Date:  2020-06-01       Impact factor: 4.379

8.  Accuracy of the energy expenditure during uphill exercise measured by the Waist-worn ActiGraph.

Authors:  Chun-Hao Chang; Kuo-Chuan Lin; Chin-Shan Ho; Chi-Chang Huang
Journal:  J Exerc Sci Fit       Date:  2019-01-23       Impact factor: 3.103

9.  Sleep Quality among Breast and Prostate Cancer Patients: A Comparison between Subjective and Objective Measurements.

Authors:  Diana Barsasella; Shabbir Syed-Abdul; Shwetambara Malwade; Terry B J Kuo; Ming-Jen Chien; Francisco J Núñez-Benjumea; Gi-Ming Lai; Ruey-Ho Kao; Hung-Jen Shih; Yu-Ching Wen; Yu-Chuan (Jack) Li; Iván Palomares Carrascosa; Kuan-Jen Bai; Youri C. B. Broekhuizen; Monique W. M. Jaspers
Journal:  Healthcare (Basel)       Date:  2021-06-22

10.  Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Authors:  Tien Yun Yang; Pin-Yu Kuo; Yaoru Huang; Hsiao-Wei Lin; Shwetambara Malwade; Long-Sheng Lu; Lung-Wen Tsai; Shabbir Syed-Abdul; Chia-Wei Sun; Jeng-Fong Chiou
Journal:  Front Public Health       Date:  2021-12-09
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.