Literature DB >> 25340990

Validity of an activity monitor in young people with cerebral palsy gross motor function classification system level I.

Deirdre O' Donoghue1, Norelee Kennedy.   

Abstract

The activPAL™ activity monitor has potential for use in youth with Cerebral Palsy (CP) as it has demonstrated acceptable validity for the assessment of sedentary and physical activity in other populations. This study determined the validity of the activPAL™ activity monitor for the measurement of sitting, standing, walking time, transitions and step count for both legs in young people with hemiplegic and asymmetric diplegic CP. Seventeen participants with CP Gross Motor Function Classification System level I completed two video recorded test protocols that involved wearing an activPAL™ activity monitor on alternate legs. Agreement between observed video recorded data and activPAL™ activity monitor data was assessed using the Bland and Altman (BA) method and intraclass correlation coefficients (ICC 3,1). There was perfect agreement for transitions and high agreement for sitting (BA mean differences (MD): -1.8 and -1.8 s; ICCs: 0.49 and 0.95) standing (MD: 0.8 and 0.1 s; ICCs: 0.59 and 0.98) walking (MD: 1 and 1.1 s; ICCs: 0.99 and 0.94) timings and low agreement for step count (MD: 4.1 and 2.8 steps; ICCs: 0.96 and 0.95) for both legs. This study found clinically acceptable agreement with direct observation for all activPAL™ activity monitor functions, except for step count measurement with respect to the range of measurement values obtained for both legs in this study population.

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Year:  2014        PMID: 25340990     DOI: 10.1088/0967-3334/35/11/2307

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  7 in total

1.  Clinical validation of a body-fixed 3D accelerometer and algorithm for activity monitoring in orthopaedic patients.

Authors:  Matthijs Lipperts; Simon van Laarhoven; Rachel Senden; Ide Heyligers; Bernd Grimm
Journal:  J Orthop Translat       Date:  2017-02-27       Impact factor: 5.191

2.  Efficacy of an activity monitor as a biofeedback device in cerebral palsy.

Authors:  Deepak Sharan; Joshua Samuel Rajkumar; Rajarajeshwari Balakrishnan
Journal:  J Rehabil Assist Technol Eng       Date:  2016-11-24

3.  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

4.  Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models.

Authors:  Matthew N Ahmadi; Margaret E O'Neil; Emmah Baque; Roslyn N Boyd; Stewart G Trost
Journal:  Sensors (Basel)       Date:  2020-07-17       Impact factor: 3.576

5.  Validity of Hololens Augmented Reality Head Mounted Display for Measuring Gait Parameters in Healthy Adults and Children with Cerebral Palsy.

Authors:  Anne-Laure Guinet; Guillaume Bouyer; Samir Otmane; Eric Desailly
Journal:  Sensors (Basel)       Date:  2021-04-11       Impact factor: 3.576

6.  Detection of body postures and movements in ambulatory adults with cerebral palsy: a novel and valid measure of physical behaviour.

Authors:  Everett A Claridge; Rita J G van den Berg-Emons; Herwin L D Horemans; Wilma M A van der Slot; Nick van der Stam; Ada Tang; Brian W Timmons; Jan Willem Gorter; Johannes B J Bussmann
Journal:  J Neuroeng Rehabil       Date:  2019-10-29       Impact factor: 4.262

Review 7.  Use of accelerometer-based activity monitoring in orthopaedics: benefits, impact and practical considerations.

Authors:  Maik Sliepen; Matthijs Lipperts; Marianne Tjur; Inger Mechlenburg
Journal:  EFORT Open Rev       Date:  2020-01-28
  7 in total

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