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An autoregressive modeling approach to analyzing wheelchair propulsion forces

Koontz, AM and Cooper, RA and Boninger, ML (2001) An autoregressive modeling approach to analyzing wheelchair propulsion forces. Medical Engineering and Physics, 23 (4). 285 - 291. ISSN 1350-4533

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Biomechanical signals collected during wheelchair propulsion are often analyzed by computing averages and/or peak values over several strokes. Due to the complex nature of the signals, this type of analysis may not be specific to identifying factors that may predispose a wheelchair user to joint pain/injury. Hence, a new technique is introduced that uses a system identification approach, autoregressive (AR) modeling, to analyze wheelchair propulsion force waveforms. In this application an AR method was used to create a model force waveform based on current and past values of digital pushrim force data. The feasibility of the AR modeling method over point-wise methods to detect asymmetry among force waveforms was tested with a group of 20 wheelchair users. Subjects propelled at a constant 0.9 m/s on a roller system during which 20 s of force data were collected from the SMARTWheels, force and torque sensing pushrims. Both methods showed that the wheelchair users as a group propelled evenly, however, individual analysis using the AR model error estimates indicated that twenty-five percent demonstrated significant asymmetry in their force waveforms. If only point-wise means and variances of the applied bilateral forces were considered, most subjects would have appeared symmetrical. Thus, the AR modeling approach is more sensitive to detecting anomalies in propulsion technique.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Koontz, AMakoontz@pitt.eduAKOONTZ
Boninger, MLboninger@pitt.eduBONINGER
Centers: Other Centers, Institutes, Offices, or Units > Human Engineering Research Laboratories
Date: 4 July 2001
Date Type: Publication
Journal or Publication Title: Medical Engineering and Physics
Volume: 23
Number: 4
Page Range: 285 - 291
DOI or Unique Handle: 10.1016/s1350-4533(00)00082-5
Schools and Programs: School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
Refereed: Yes
ISSN: 1350-4533
MeSH Headings: Adult; Biomechanics; Biophysical Phenomena; Biophysics; Female; Humans; Male; Models, Biological; Movement; Spinal Cord Injuries--physiopathology; Spinal Cord Injuries--rehabilitation; Wheelchairs
PubMed ID: 11427366
Date Deposited: 02 Oct 2012 19:08
Last Modified: 22 Jun 2021 13:55


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