Literature DB >> 16344938

Effect of combined movement and heart rate monitor placement on physical activity estimates during treadmill locomotion and free-living.

Søren Brage1, Niels Brage, Ulf Ekelund, Jian'an Luan, Paul W Franks, Karsten Froberg, Nicholas J Wareham.   

Abstract

A placement effect on activity measures from movement sensors has been reported during treadmill and free-living activity. Positioning of electrodes may impact on movement artifact susceptibility as well as surface ECG waveform amplitudes and thus potentially on the precision by which heart rate (HR) is ascertained from such ECG traces. The purpose of this study was to examine the extent to which placement of the combined HR and movement sensor, Actiheart, influences measurement of HR and movement, and estimates of energy expenditure. A total of 24 participants (20-39 years, 45-109 kg, 1.54-2.05 m, 19-29 kg m(-2)) were recruited. Whilst wearing two monitors, one placed at the level of the third intercostal space (upper position) and one just below the apex of the sternum (lower position), study participants performed level walking, incline walking, and level running on treadmill, and completed at least one day of free-living monitoring. Placement differences in HR data quality, movement counts, and energy expenditure (estimated from combined HR and movement) were analyzed with regression techniques. Quality of HR data was generally higher when monitors were placed in the lower position. This effect was more pronounced in men during both treadmill activity (relative risk, RR [95% CI] of noisy HR data in upper vs. lower position, RR=1.3[0.3; 5.6] in women, RR=174[14; 2,156] in men) and during free-living (RR=1.2[0.4; 3.3] in women, RR=25[9.6; 67] in men). There were minor placement differences (< or =8%) in movement counts only in women during incline walking and running. During free-living, no placement effect on counts was observed. In all test scenarios, estimates of energy expenditure from the two positions were not significantly different. Positioning the Actiheart at the level below the sternum may yield cleaner HR data. Regardless of which position is used, this has little or no effect on movement counts and energy expenditure estimates, which is encouraging for studies where research participants may have to position the monitors themselves.

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Year:  2005        PMID: 16344938     DOI: 10.1007/s00421-005-0112-6

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  34 in total

1.  A micropower dry-electrode ECG preamplifier.

Authors:  M J Burke; D T Gleeson
Journal:  IEEE Trans Biomed Eng       Date:  2000-02       Impact factor: 4.538

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Journal:  Aerosp Med       Date:  1962-07

3.  Ag-AgCl electrode noise in high-resolution ECG measurements.

Authors:  M Fernández; R Pallás-Areny
Journal:  Biomed Instrum Technol       Date:  2000 Mar-Apr

4.  Simultaneous heart rate-motion sensor technique to estimate energy expenditure.

Authors:  S J Strath; D R Bassett; A M Swartz; D L Thompson
Journal:  Med Sci Sports Exerc       Date:  2001-12       Impact factor: 5.411

5.  A comparison of gel-to-gel and skin measurements of electrode impedance.

Authors:  D R Klingler; A A Schoenberg; N P Worth; C F Egleston; J A Burkart
Journal:  Med Instrum       Date:  1979 Sep-Oct

6.  Validity of the simultaneous heart rate-motion sensor technique for measuring energy expenditure.

Authors:  Scott J Strath; David R Bassett; Dixie L Thompson; Ann M Swartz
Journal:  Med Sci Sports Exerc       Date:  2002-05       Impact factor: 5.411

7.  A standardized procedure for locating and documenting ECG chest electrode positions: consideration of the effect of breast tissue on ECG amplitudes in women.

Authors:  P M Rautaharju; L Park; F S Rautaharju; R Crow
Journal:  J Electrocardiol       Date:  1998-01       Impact factor: 1.438

8.  The influence of electrode placement in the reconstruction and analysis of body surface potential maps from limited thoracic arrays.

Authors:  L G Horan; R C Hand; N C Flowers; J C Johnson; M R Sridharan
Journal:  J Electrocardiol       Date:  1980-10       Impact factor: 1.438

9.  Analysis of electrocardiograms for subcutaneous monitors.

Authors:  Martin C Burke; Zhendong Song; Janice Jenkins; Michael Alberts; Jean Del Priore; Robert Arzbaecher
Journal:  J Electrocardiol       Date:  2003       Impact factor: 1.438

10.  Effect of monitor placement and of activity setting on the MTI accelerometer output.

Authors:  Agneta Yngve; Andreas Nilsson; Michael Sjostrom; Ulf Ekelund
Journal:  Med Sci Sports Exerc       Date:  2003-02       Impact factor: 5.411

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  40 in total

Review 1.  Assessment of physical activity: a critical appraisal.

Authors:  Klaas R Westerterp
Journal:  Eur J Appl Physiol       Date:  2009-02-11       Impact factor: 3.078

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Authors:  Jennifer A Schrack; Vadim Zipunnikov; Jeff Goldsmith; Jiawei Bai; Eleanor M Simonsick; Ciprian Crainiceanu; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-12-14       Impact factor: 6.053

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Journal:  Eur J Appl Physiol       Date:  2011-04-19       Impact factor: 3.078

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Authors:  Kelly A Mackintosh; Martyn Standage; Amanda E Staiano; Leanne Lester; Melitta A McNarry
Journal:  Games Health J       Date:  2016-10-26

5.  Objectively Measured Physical Activity and Falls in Well-Functioning Older Adults: Findings From the Baltimore Longitudinal Study of Aging.

Authors:  Anthony J Nastasi; Alka Ahuja; Vadim Zipunnikov; Eleanor M Simonsick; Luigi Ferrucci; Jennifer A Schrack
Journal:  Am J Phys Med Rehabil       Date:  2018-04       Impact factor: 2.159

6.  Generalized multilevel function-on-scalar regression and principal component analysis.

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Journal:  Biometrics       Date:  2015-01-25       Impact factor: 2.571

7.  Simple fixed-effects inference for complex functional models.

Authors:  So Young Park; Ana-Maria Staicu; Luo Xiao; Ciprian M Crainiceanu
Journal:  Biostatistics       Date:  2018-04-01       Impact factor: 5.899

8.  A participatory parent-focused intervention promoting physical activity in preschools: design of a cluster-randomized trial.

Authors:  Freia De Bock; Joachim E Fischer; Kristina Hoffmann; Herbert Renz-Polster
Journal:  BMC Public Health       Date:  2010-01-31       Impact factor: 3.295

9.  Nonnegative decomposition of functional count data.

Authors:  Daniel Backenroth; Russell T Shinohara; Jennifer A Schrack; Jeff Goldsmith
Journal:  Biometrics       Date:  2020-02-03       Impact factor: 2.571

10.  A Domain-Specific Approach for Assessing Physical Activity Efficacy in Adolescents: From Scale Conception to Predictive Validity.

Authors:  Nerissa Campbell; Casey Gray; Louise Foley; Ralph Maddison; Harry Prapavessis
Journal:  Psychol Sport Exerc       Date:  2016-01
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