Literature DB >> 33578639

Application and Reliability of Accelerometer-Based Arm Use Intensities in the Free-Living Environment for Manual Wheelchair Users and Able-Bodied Individuals.

Brianna M Goodwin1, Omid Jahanian1, Meegan G Van Straaten1,2, Emma Fortune1, Stefan I Madansingh2, Beth A Cloud-Biebl3, Kristin D Zhao2, Melissa M Morrow1.   

Abstract

Arm use in manual wheelchair (MWC) users is characterized by a combination of overuse and a sedentary lifestyle. This study aimed to describe the percentage of daily time MWC users and able-bodied individuals spend in each arm use intensity level utilizing accelerometers. Arm use intensity levels of the upper arms were defined as stationary, low, mid, and high from the signal magnitude area (SMA) of the segment accelerations based on in-lab MWC activities performed by eight MWC users. Accelerometry data were collected in the free-living environments from forty MWC users and 40 sex- and age-matched able-bodied individuals. The SMA intensity levels were applied to the free-living data and the percentage of time spent in each level was calculated. The SMA intensity levels were defined as, stationary: ≤0.67 g, low: 0.671-3.27 g, mid: 3.27-5.87 g, and high: >5.871 g. The dominant arm of both MWC users and able-bodied individuals was stationary for most of the day and less than one percent of the day was spent in high intensity arm activities. Increased MWC user age correlated with increased stationary arm time (R = 0.368, p = 0.019). Five and eight days of data are needed from MWC users and able-bodied individuals, respectively, to achieve reliable representation of their daily arm use intensities.

Entities:  

Keywords:  free-living data collection; inertial measurement units; spinal cord injury; upper extremity; wearable sensors

Mesh:

Year:  2021        PMID: 33578639      PMCID: PMC7916413          DOI: 10.3390/s21041236

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  27 in total

1.  Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring.

Authors:  Dean M Karantonis; Michael R Narayanan; Merryn Mathie; Nigel H Lovell; Branko G Celler
Journal:  IEEE Trans Inf Technol Biomed       Date:  2006-01

2.  Predicting physical activity energy expenditure in manual wheelchair users.

Authors:  Tom Edward Nightingale; Jean-Philippe Walhim; Dylan Thompson; James L J Bilzon
Journal:  Med Sci Sports Exerc       Date:  2014-09       Impact factor: 5.411

3.  Measurement and description of physical activity in adult manual wheelchair users.

Authors:  Catherine A Warms; Joanne D Whitney; Basia Belza
Journal:  Disabil Health J       Date:  2008-10       Impact factor: 2.554

4.  Comparing supraspinatus to acromion proximity and kinematics of the shoulder and thorax between manual wheelchair propulsion styles: A pilot study.

Authors:  Stefan I Madansingh; Emma Fortune; Melissa M Morrow; Kristin D Zhao; Beth A Cloud-Biebl
Journal:  Clin Biomech (Bristol, Avon)       Date:  2020-01-21       Impact factor: 2.063

Review 5.  How Sedentary are Older People? A Systematic Review of the Amount of Sedentary Behavior.

Authors:  Juliet A Harvey; Sebastien F M Chastin; Dawn A Skelton
Journal:  J Aging Phys Act       Date:  2014-11-11       Impact factor: 1.961

6.  Validity of using tri-axial accelerometers to measure human movement - Part I: Posture and movement detection.

Authors:  Vipul Lugade; Emma Fortune; Melissa Morrow; Kenton Kaufman
Journal:  Med Eng Phys       Date:  2013-07-27       Impact factor: 2.242

7.  Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly.

Authors:  Bijan Najafi; Kamiar Aminian; Anisoara Paraschiv-Ionescu; François Loew; Christophe J Büla; Philippe Robert
Journal:  IEEE Trans Biomed Eng       Date:  2003-06       Impact factor: 4.538

8.  Development and evaluation of RAMP II - a practitioner's tool for assessing musculoskeletal disorder risk factors in industrial manual handling.

Authors:  Carl Mikael Lind; Mikael Forsman; Linda Maria Rose
Journal:  Ergonomics       Date:  2020-01-10       Impact factor: 2.778

9.  Development of the Wheelchair User's Shoulder Pain Index (WUSPI).

Authors:  K A Curtis; K E Roach; E B Applegate; T Amar; C S Benbow; T D Genecco; J Gualano
Journal:  Paraplegia       Date:  1995-05

10.  Influence of accelerometer type and placement on physical activity energy expenditure prediction in manual wheelchair users.

Authors:  Tom Edward Nightingale; Jean-Philippe Walhin; Dylan Thompson; James Lee John Bilzon
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

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  2 in total

1.  Inertial Measurement Unit-Derived Ergonomic Metrics for Assessing Arm Use in Manual Wheelchair Users With Spinal Cord Injury: A Preliminary Report.

Authors:  Omid Jahanian; Meegan G Van Straaten; Brianna M Goodwin; Stephen M Cain; Ryan J Lennon; Jonathan D Barlow; Naveen S Murthy; Melissa M B Morrow
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-08-13

2.  Duration of Static and Dynamic Periods of the Upper Arm During Daily Life of Manual Wheelchair Users and Matched Able-Bodied Participants: A Preliminary Report.

Authors:  Brianna M Goodwin; Omid Jahanian; Stephen M Cain; Meegan G Van Straaten; Emma Fortune; Melissa M Morrow
Journal:  Front Sports Act Living       Date:  2021-03-26
  2 in total

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