Literature DB >> 19019680

Measuring distance walked and step count in children with cerebral palsy: an evaluation of two portable activity monitors.

Yi-Liang Kuo1, Karen M Culhane, Pamela Thomason, Oren Tirosh, Richard Baker.   

Abstract

Assessing clinical outcomes in the context of activity and participation is essential to reflect functional changes in the home and community for children with cerebral palsy (CP). However, no activity monitor has been investigated for measurement of the distance walked and step count in children with CP who have atypical gait. Twenty typically developing children and twenty children with CP, aged 4-16 years, were recruited to evaluate two portable activity monitors, AMP 331 (AMP) and Dynaport Minimod (Minimod), under three walking conditions (continuous walking, structured activity lap walking and stair climbing). Measurements of the activity monitors were compared to known walking distances and video recordings for step count. The devices performed differently under different walking conditions. The Minimod gave more accurate measurement of continuous walking over level ground. On the other hand, the AMP performed better in detecting the walks in a structured activity lap and during stair ascent and descent. Researchers and clinicians need to consider different characteristics of the monitoring devices and walking conditions, and choose an appropriate device that is most reflective of what they want to measure.

Entities:  

Mesh:

Year:  2008        PMID: 19019680     DOI: 10.1016/j.gaitpost.2008.09.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  11 in total

Review 1.  A review of accelerometry-based wearable motion detectors for physical activity monitoring.

Authors:  Che-Chang Yang; Yeh-Liang Hsu
Journal:  Sensors (Basel)       Date:  2010-08-20       Impact factor: 3.576

2.  Smart wearable body sensors for patient self-assessment and monitoring.

Authors:  Geoff Appelboom; Elvis Camacho; Mickey E Abraham; Samuel S Bruce; Emmanuel Lp Dumont; Brad E Zacharia; Randy D'Amico; Justin Slomian; Jean Yves Reginster; Olivier Bruyère; E Sander Connolly
Journal:  Arch Public Health       Date:  2014-08-22

Review 3.  Physical Human Activity Recognition Using Wearable Sensors.

Authors:  Ferhat Attal; Samer Mohammed; Mariam Dedabrishvili; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat
Journal:  Sensors (Basel)       Date:  2015-12-11       Impact factor: 3.576

4.  Stair-Walking Performance in Adolescents with Intellectual Disabilities.

Authors:  Wann-Yun Shieh; Yan-Ying Ju; Yu-Chun Yu; Che-Kuan Lin; Yen-Tzu Lin; Hsin-Yi Kathy Cheng
Journal:  Sensors (Basel)       Date:  2016-07-11       Impact factor: 3.576

5.  Consumer physical activity tracking device ownership and use among a population-based sample of adults.

Authors:  Soultana Macridis; Nora Johnston; Steven Johnson; Jeff K Vallance
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

6.  Locomotion and cadence detection using a single trunk-fixed accelerometer: validity for children with cerebral palsy in daily life-like conditions.

Authors:  Anisoara Paraschiv-Ionescu; Christopher J Newman; Lena Carcreff; Corinna N Gerber; Stephane Armand; Kamiar Aminian
Journal:  J Neuroeng Rehabil       Date:  2019-02-04       Impact factor: 4.262

7.  A systematic review of the clinimetric properties of habitual physical activity measures in young children with a motor disability.

Authors:  Stina Oftedal; Kristie L Bell; Louise E Mitchell; Peter S W Davies; Robert S Ware; Roslyn N Boyd
Journal:  Int J Pediatr       Date:  2012-08-09

8.  A pedometer based physical activity self-management program for children and adolescents with physical disability - design and methods of the StepUp study.

Authors:  Carol Maher; Angela Crettenden; Kerry Evans; Myra Thiessen; Monica Toohey; Jim Dollman
Journal:  BMC Pediatr       Date:  2014-02-03       Impact factor: 2.125

9.  Can an accelerometer-based monitor be used to accurately assess physical activity in a population of survivors of critical illness?

Authors:  Lara Edbrooke; Noel Lythgo; Unna Goldsworthy; Linda Denehy
Journal:  Glob J Health Sci       Date:  2012-04-28

10.  Automatic real-time gait event detection in children using deep neural networks.

Authors:  Łukasz Kidziński; Scott Delp; Michael Schwartz
Journal:  PLoS One       Date:  2019-01-31       Impact factor: 3.240

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