Literature DB >> 24610379

Accelerations of the waist and lower extremities over a range of gait velocities to aid in activity monitor selection for field-based studies.

Melissa M B Morrow1, Wendy J Hurd, Emma Fortune, Vipul Lugade, Kenton R Kaufman.   

Abstract

This study aimed to define accelerations measured at the waist and lower extremities over a range of gait velocities to provide reference data for choosing the appropriate accelerometer for field-based human activity monitoring studies. Accelerations were measured with a custom activity monitor (± 16g) at the waist, thighs, and ankles in 11 participants over a range of gait velocities from slow walking to running speeds. The cumulative frequencies and peak accelerations were determined. Cumulative acceleration amplitudes for the waist, thighs, and ankles during gait velocities up to 4.8 m/s were within the standard commercial g-range (± 6g) in 99.8%, 99.0%, and 96.5% of the data, respectively. Conversely, peak acceleration amplitudes exceeding the limits of many commercially available activity monitors were observed at the waist, thighs, and ankles, with the highest peaks at the ankles, as expected. At the thighs, and more so at the ankles, nearly 50% of the peak accelerations would not be detected when the gait velocity exceeds a walking velocity. Activity monitor choice is application specific, and investigators should be aware that when measuring high-intensity gait velocity activities with commercial units that impose a ceiling at ± 6g, peak accelerations may not be measured.

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Mesh:

Year:  2014        PMID: 24610379      PMCID: PMC4180224          DOI: 10.1123/jab.2013-0264

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  8 in total

1.  Accelerometer use in physical activity: best practices and research recommendations.

Authors:  Dianne S Ward; Kelly R Evenson; Amber Vaughn; Anne Brown Rodgers; Richard P Troiano
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

Review 2.  Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables.

Authors:  Louise C Mâsse; Bernard F Fuemmeler; Cheryl B Anderson; Charles E Matthews; Stewart G Trost; Diane J Catellier; Margarita Treuth
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

3.  A novel method for using accelerometer data to predict energy expenditure.

Authors:  Scott E Crouter; Kurt G Clowers; David R Bassett
Journal:  J Appl Physiol (1985)       Date:  2005-12-01

4.  Measurement of gait by accelerometer and walkway: a comparison study.

Authors:  G Currie; D Rafferty; G Duncan; F Bell; A L Evans
Journal:  Med Biol Eng Comput       Date:  1992-11       Impact factor: 2.602

5.  Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm.

Authors:  Kazunori Ohkawara; Yoshitake Oshima; Yuki Hikihara; Kazuko Ishikawa-Takata; Izumi Tabata; Shigeho Tanaka
Journal:  Br J Nutr       Date:  2011-01-25       Impact factor: 3.718

6.  A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity.

Authors:  C V Bouten; K T Koekkoek; M Verduin; R Kodde; J D Janssen
Journal:  IEEE Trans Biomed Eng       Date:  1997-03       Impact factor: 4.538

7.  Triaxial vector accelerometry: a method for quantifying tremor and ataxia.

Authors:  J D Frost
Journal:  IEEE Trans Biomed Eng       Date:  1978-01       Impact factor: 4.538

8.  Sources of variance in daily physical activity levels as measured by an accelerometer.

Authors:  Charles E Matthews; Barbara E Ainsworth; Raymond W Thompson; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2002-08       Impact factor: 5.411

  8 in total
  5 in total

1.  John Charnley Award: Randomized Clinical Trial of Direct Anterior and Miniposterior Approach THA: Which Provides Better Functional Recovery?

Authors:  Michael J Taunton; Robert T Trousdale; Rafael J Sierra; Ken Kaufman; Mark W Pagnano
Journal:  Clin Orthop Relat Res       Date:  2018-02       Impact factor: 4.176

2.  Feasibility of a dynamic web guidance approach for personalized physical activity prescription based on daily information from wearable technology.

Authors:  Crystal L Coolbaugh; Stephen C Raymond; David A Hawkins
Journal:  JMIR Res Protoc       Date:  2015-06-04

3.  Using Commercial Activity Monitors to Measure Gait in Patients with Suspected iNPH: Implications for Ambulatory Monitoring.

Authors:  Shiv Gaglani; Jessica Moore; M Ryan Haynes; Jamie B Hoffberger; Daniele Rigamonti
Journal:  Cureus       Date:  2015-11-17

Review 4.  Accuracy of Accelerometers for Measuring Physical Activity and Levels of Sedentary Behavior in Children: A Systematic Review.

Authors:  Brian A Lynch; Tara K Kaufman; Tamim I Rajjo; K Mohammed; Seema Kumar; M Hassan Murad; Natalie E Gentile; Gabriel A Koepp; Shelly K McCrady-Spitzer; James A Levine
Journal:  J Prim Care Community Health       Date:  2019 Jan-Dec

Review 5.  Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.

Authors:  Lauren C Benson; Anu M Räisänen; Christian A Clermont; Reed Ferber
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  5 in total

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