Type

Journal Article

Authors

Cailbhe Doherty
William Johnston
Tomás Ward
Brian Caulfield
Martin O'Reilly
William Johnson

Subjects

Psychiatry

Topics
biomedical engineering cross sectional studies inertial measurement user evaluation clinical trials wearable systems systematic review self assessment this review

Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review. (2018)

Abstract Analysis of lower limb exercises is traditionally completed with four distinct methods: (1) 3D motion capture; (2) depth-camera-based systems; (3) visual analysis from a qualified exercise professional; and (4) self-assessment. Each method is associated with a number of limitations. The aim of this systematic review is to synthesise and evaluate studies which have investigated the capacity for inertial measurement unit (IMU) technologies to assess movement quality in lower limb exercises. A systematic review of studies identified through the databases of PubMed, ScienceDirect and Scopus was conducted. Articles written in English and published in the last 10 years which investigated an IMU system for the analysis of repetition-based targeted lower limb exercises were included. The quality of included studies was measured using an adapted version of the STROBE assessment criteria for cross-sectional studies. The studies were categorised into three groupings: exercise detection, movement classification or measurement validation. Each study was then qualitatively summarised. From the 2452 articles that were identified with the search strategies, 47 papers are included in this review. Twenty-six of the 47 included studies were deemed as being of high quality. Wearable inertial sensor systems for analysing lower limb exercises is a rapidly growing field of research. Research over the past 10 years has predominantly focused on validating measurements that the systems produce and classifying users' exercise quality. There have been very few user evaluation studies and no clinical trials in this field to date.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> PubMed
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
Ireland -> Dublin City University -> Subject = Engineering
Ireland -> Dublin City University -> Subject = Engineering: Biomedical engineering
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Cailbhe Doherty, William Johnston, Tomás Ward, Brian Caulfield, Martin O'Reilly, William Johnson

Experts in our system

1
Cailbhe Doherty
University College Dublin
Total Publications: 44
 
2
William Johnston
University College Dublin
Total Publications: 8
 
3
Tomas Ward
Maynooth University
Total Publications: 177
 
4
Brian Caulfield
University College Dublin
Total Publications: 273
 
5
Martin O'Reilly
University College Dublin
Total Publications: 18