Literature DB >> 25571337

Within trial validation and reliability of a single tri-axial accelerometer for gait assessment.

Alan Godfrey, Silvia Del Din, Gillian Barry, John C Mathers, Lynn Rochester.   

Abstract

Gait is a sensitive biomarker of decline in both cognitive and physical function. Therefore, the collection of gait data is an important feature of clinical assessments. Accelerometer-based body worn sensors are quickly becoming the preferred tool for assessing gait because they are small, useable in a wide variety of settings, offer more continuous spatio-temporal analysis and are inexpensive when compared with traditional gait assessment methodologies. The purpose of this study was to determine the validity and within test reliability of a low cost body worn movement sensor with associated algorithms to assess gait in a large group of older and younger healthy adults. We collected gait data over intermittent walks on an instrumented walkway for a within trial validation and also used the same accelerometer derived gait data for a within test reliability analysis. ICCs for validation and reliability were >0.756 and >0.965, respectively.

Entities:  

Mesh:

Year:  2014        PMID: 25571337     DOI: 10.1109/EMBC.2014.6944969

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  8 in total

Review 1.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

Review 2.  A Systematic Review of Wearable Sensors for Monitoring Physical Activity.

Authors:  Annica Kristoffersson; Maria Lindén
Journal:  Sensors (Basel)       Date:  2022-01-12       Impact factor: 3.576

3.  Are Accelerometer-based Functional Outcome Assessments Feasible and Valid After Treatment for Lower Extremity Sarcomas?

Authors:  Sherron Furtado; Alan Godfrey; Silvia Del Din; Lynn Rochester; Craig Gerrand
Journal:  Clin Orthop Relat Res       Date:  2020-03       Impact factor: 4.755

4.  Validation and reliability testing of a new, fully integrated gait analysis insole.

Authors:  Benedikt Johannes Braun; Nils Thomas Veith; Rebecca Hell; Stefan Döbele; Michael Roland; Mika Rollmann; Jörg Holstein; Tim Pohlemann
Journal:  J Foot Ankle Res       Date:  2015-09-22       Impact factor: 2.303

5.  Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders.

Authors:  Wei-Chun Hsu; Tommy Sugiarto; Yi-Jia Lin; Fu-Chi Yang; Zheng-Yi Lin; Chi-Tien Sun; Chun-Lung Hsu; Kuan-Nien Chou
Journal:  Sensors (Basel)       Date:  2018-10-11       Impact factor: 3.576

6.  Wearables-based walking program in addition to usual physiotherapy care for the management of patients with low back pain at medium or high risk of chronicity: A pilot randomized controlled trial.

Authors:  Hosam Alzahrani; Martin Mackey; Emmanuel Stamatakis; Debra Shirley
Journal:  PLoS One       Date:  2021-08-26       Impact factor: 3.240

7.  An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease.

Authors:  Luis R Peraza; Kirsi M Kinnunen; Roisin McNaney; Ian J Craddock; Alan L Whone; Catherine Morgan; Richard Joules; Robin Wolz
Journal:  Sensors (Basel)       Date:  2021-12-11       Impact factor: 3.576

8.  A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis.

Authors:  Annica Kristoffersson; Maria Lindén
Journal:  Sensors (Basel)       Date:  2020-03-09       Impact factor: 3.576

  8 in total

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