Literature DB >> 22771482

Validity of the intelligent device for energy expenditure and activity accelerometry system for quantitative gait analysis in patients with hip osteoarthritis.

Julia F Item-Glatthorn1, Nicola C Casartelli, Jeannette Petrich-Munzinger, Urs K Munzinger, Nicola A Maffiuletti.   

Abstract

OBJECTIVE: To evaluate the concurrent validity of an accelerometry-based system (Intelligent Device for Energy Expenditure and Activity) with a criterion instrument (Gaitrite) for the evaluation of spatiotemporal gait variables in orthopedic patients.
DESIGN: Validity study.
SETTING: Research laboratory in an orthopedic hospital. PARTICIPANTS: Men with unilateral hip osteoarthritis (N=26; mean age ± SD, 54±9y).
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Patients were asked to walk at normal and fast velocities while gait cycle, swing, double support, step length, cadence, and speed were concomitantly recorded with the 2 instruments. Concurrent criterion-related validity was examined using intraclass correlation coefficients and Bland-Altman limits of agreement.
RESULTS: Intraclass correlation coefficients were acceptable for all gait parameters (range, .815-.997), except step length (.783). Limits of agreement were low for gait cycle, swing, and cadence, though relatively high for double support, step length, and speed. A significant bias between the 2 measuring instruments was consistently observed.
CONCLUSIONS: In patients with hip osteoarthritis, quantitative gait analysis with the IDEEA accelerometry system was satisfactory for the main temporal gait parameters, while double support, step length, and walking speed quantifications were invalid. The IDEEA system should be used with caution, and modifications of the system are recommended for improved use in clinical practice and research.
Copyright © 2012 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22771482     DOI: 10.1016/j.apmr.2012.06.018

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  6 in total

1.  Using Wearable Activity Type Detection to Improve Physical Activity Energy Expenditure Estimation.

Authors:  Fahd Albinali; Stephen S Intille; William Haskell; Mary Rosenberger
Journal:  Proc ACM Int Conf Ubiquitous Comput       Date:  2010-09

2.  Clinical assessment of spatiotemporal gait parameters in patients and older adults.

Authors:  Julia F Item-Glatthorn; Nicola A Maffiuletti
Journal:  J Vis Exp       Date:  2014-11-07       Impact factor: 1.355

3.  Polestriding Intervention Improves Gait and Axial Symptoms in Mild to Moderate Parkinson Disease.

Authors:  Narayanan Krishnamurthi; Holly Shill; Darolyn O'Donnell; Padma Mahant; Johan Samanta; Abraham Lieberman; James Abbas
Journal:  Arch Phys Med Rehabil       Date:  2016-10-27       Impact factor: 3.966

Review 4.  Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review.

Authors:  Dylan Kobsar; Zaryan Masood; Heba Khan; Noha Khalil; Marium Yossri Kiwan; Sarah Ridd; Matthew Tobis
Journal:  Sensors (Basel)       Date:  2020-12-13       Impact factor: 3.576

5.  Validity of load rate estimation using accelerometers during physical activity on an anti-gravity treadmill.

Authors:  Susan Nazirizadeh; Maria Stokes; Nigel K Arden; Alexander Ij Forrester
Journal:  J Rehabil Assist Technol Eng       Date:  2021-06-02

6.  Role of the intelligent exercise rehabilitation management system on adherence of cardiac rehabilitation in patients with coronary heart disease: a randomised controlled crossover study protocol.

Authors:  Linqi Xu; Wenji Xiong; Jinwei Li; Hongyu Shi; Meidi Shen; Xin Zhang; Yue Pang; Yuanyuan Ni; Wei Zhang; Yuewei Li; Lirong Guo; Shuang Zhang; Lijing Zhao; Feng Li
Journal:  BMJ Open       Date:  2020-06-15       Impact factor: 2.692

  6 in total

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