Literature DB >> 22617402

Computational methods for estimating energy expenditure in human physical activities.

Shaopeng Liu1, Robert X Gao, Patty S Freedson.   

Abstract

Accurate and reliable methods for assessing human physical activity (PA) energy expenditure (PAEE) are informative and essential for understanding individual behaviors and quantifying the effect of PA on disease, for PA surveillance, and for examining determinants of PA in different populations. This article reviews recent advances in the estimation of PAEE in three interrelated areas: 1) types of sensors worn by human subjects, 2) features extracted from the measured sensor signals, and 3) modeling techniques to estimate the PAEE using these features. The review illustrates three directions in the PAEE studies and provides recommendations for future research, with the aim to produce valid, reliable, and accurate assessment of PAEE from wearable sensors.

Entities:  

Mesh:

Year:  2012        PMID: 22617402      PMCID: PMC3475744          DOI: 10.1249/MSS.0b013e31825e825a

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  60 in total

1.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field.

Authors:  D Hendelman; K Miller; C Baggett; E Debold; P Freedson
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

2.  Development of novel techniques to classify physical activity mode using accelerometers.

Authors:  David M Pober; John Staudenmayer; Christopher Raphael; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2006-09       Impact factor: 5.411

Review 3.  Activity identification using body-mounted sensors--a review of classification techniques.

Authors:  Stephen J Preece; John Y Goulermas; Laurence P J Kenney; Dave Howard; Kenneth Meijer; Robin Crompton
Journal:  Physiol Meas       Date:  2009-04-02       Impact factor: 2.833

4.  Application of cross-sectional time series modeling for the prediction of energy expenditure from heart rate and accelerometry.

Authors:  Issa Zakeri; Anne L Adolph; Maurice R Puyau; Firoz A Vohra; Nancy F Butte
Journal:  J Appl Physiol (1985)       Date:  2008-04-10

5.  Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer.

Authors:  A G Bonomi; G Plasqui; A H C Goris; K R Westerterp
Journal:  J Appl Physiol (1985)       Date:  2009-06-25

6.  A comparison of questionnaire, accelerometer, and pedometer: measures in older people.

Authors:  Tess J Harris; Christopher G Owen; Christina R Victor; Rika Adams; Ulf Ekelund; Derek G Cook
Journal:  Med Sci Sports Exerc       Date:  2009-07       Impact factor: 5.411

7.  Validity of four motion sensors in measuring moderate intensity physical activity.

Authors:  D R Bassett; B E Ainsworth; A M Swartz; S J Strath; W L O'Brien; G A King
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

8.  Predicting activity energy expenditure using the Actical activity monitor.

Authors:  Daniel P Heil
Journal:  Res Q Exerc Sport       Date:  2006-03       Impact factor: 2.500

9.  Estimating MET values using the ratio of HR for persons with paraplegia.

Authors:  Miyoung Lee; Weimo Zhu; Brad Hedrick; Bo Fernhall
Journal:  Med Sci Sports Exerc       Date:  2010-05       Impact factor: 5.411

10.  Validation of the SenseWear Pro Armband algorithms in children.

Authors:  Miguel A Calabró; Gregory J Welk; Joey C Eisenmann
Journal:  Med Sci Sports Exerc       Date:  2009-09       Impact factor: 5.411

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  15 in total

Review 1.  Evolution of accelerometer methods for physical activity research.

Authors:  Richard P Troiano; James J McClain; Robert J Brychta; Kong Y Chen
Journal:  Br J Sports Med       Date:  2014-04-29       Impact factor: 13.800

2.  Estimating activity and sedentary behavior from an accelerometer on the hip or wrist.

Authors:  Mary E Rosenberger; William L Haskell; Fahd Albinali; Selene Mota; Jason Nawyn; Stephen Intille
Journal:  Med Sci Sports Exerc       Date:  2013-05       Impact factor: 5.411

3.  Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings.

Authors:  Mikkel B Schneller; Mogens T Pedersen; Nidhi Gupta; Mette Aadahl; Andreas Holtermann
Journal:  Sensors (Basel)       Date:  2015-03-13       Impact factor: 3.576

4.  Validation of Physical Activity Tracking via Android Smartphones Compared to ActiGraph Accelerometer: Laboratory-Based and Free-Living Validation Studies.

Authors:  Eric B Hekler; Matthew P Buman; Lauren Grieco; Mary Rosenberger; Sandra J Winter; William Haskell; Abby C King
Journal:  JMIR Mhealth Uhealth       Date:  2015-04-15       Impact factor: 4.773

5.  Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.

Authors:  Muhammad Awais; Luca Palmerini; Alan K Bourke; Espen A F Ihlen; Jorunn L Helbostad; Lorenzo Chiari
Journal:  Sensors (Basel)       Date:  2016-12-11       Impact factor: 3.576

Review 6.  Quantitative Analysis of Motor Status in Parkinson's Disease Using Wearable Devices: From Methodological Considerations to Problems in Clinical Applications.

Authors:  Masahiko Suzuki; Hiroshi Mitoma; Mitsuru Yoneyama
Journal:  Parkinsons Dis       Date:  2017-05-18

Review 7.  A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study.

Authors:  Kieran P Dowd; Robert Szeklicki; Marco Alessandro Minetto; Marie H Murphy; Angela Polito; Ezio Ghigo; Hidde van der Ploeg; Ulf Ekelund; Janusz Maciaszek; Rafal Stemplewski; Maciej Tomczak; Alan E Donnelly
Journal:  Int J Behav Nutr Phys Act       Date:  2018-02-08       Impact factor: 6.457

8.  Laboratory-based and free-living algorithms for energy expenditure estimation in preschool children: A free-living evaluation.

Authors:  Matthew N Ahmadi; Alok Chowdhury; Toby Pavey; Stewart G Trost
Journal:  PLoS One       Date:  2020-05-20       Impact factor: 3.240

Review 9.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Ulf Ekelund; Christine Delisle Nyström; Jose Mora-Gonzalez; Marie Löf; Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

10.  Performance of thigh-mounted triaxial accelerometer algorithms in objective quantification of sedentary behaviour and physical activity in older adults.

Authors:  Jorgen A Wullems; Sabine M P Verschueren; Hans Degens; Christopher I Morse; Gladys L Onambélé
Journal:  PLoS One       Date:  2017-11-20       Impact factor: 3.240

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