Classification of wheelchair pressure relief maneuvers using changes in center of pressure and weight on the seat.
Pressure injuries from prolonged sitting are a significant problem for wheelchair users incurring high costs in healthcare expenditures and reducing quality-of-life. There is a need to improve pressure relief training and adherence in a variety of settings. To identify effective common wheelchair pr...
| Publicado en: | Disability & Rehabilitation: Assistive Technology Vol. 18; no. 7; pp. 1026 - 1035 |
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| Autores principales: | , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=173271959&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 173271959 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17483107 1X04 jtl: Disability & Rehabilitation: Assistive Technology issn: 17483107 maglogo: Y pubinfo: dt: Oct2023 vid: 18 iid: 7 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 173271959 151995397 173271959 173271959 10.1080/17483107.2021.1967472 173271959 ppf: 1026 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Classification of wheelchair pressure relief maneuvers using changes in center of pressure and weight on the seat. aug: au: Sundaram, S. Andrea Grindle, Garrett Gebrosky, Benjamin Brown, Josh Kelleher, Annmarie Cooper, Rosemarie Chung, Cheng-Shiu Cooper, Rory A. affil: Department of Veterans Affairs, Human Engineering Research Laboratories, Pittsburgh, PA, USA sug: subj: Wheelchairs Classification Pressure (Physiology) Deep Tissue Injury Diagnosis Sitting Sedentary Behavior Quality of Life Psychosocial Factors Health Care Costs Evaluation Funding Source Body Weight Human Descriptive Statistics Artificial Intelligence Wheelchair Fitting Machine Learning Rehabilitation ab: Pressure injuries from prolonged sitting are a significant problem for wheelchair users incurring high costs in healthcare expenditures and reducing quality-of-life. There is a need to improve pressure relief training and adherence in a variety of settings. To identify effective common wheelchair pressure relief (PR) manoeuvres based on changes to users' seated centre of pressure (CoP) and seated weight. 20 individuals who use manual wheelchairs as their primary means of mobility Participants performed 5 types of PR including seated push-ups, leftward, rightward, forward, and backward leans—while sitting in a wheelchair equipped with a custom instrumented seat pan support. Data were analysed using both clustering and decision tree approaches to identify types of PR. Both clustering and decision tree approaches were able to identify and classify PR though neither could accurately distinguish between forward and backward PR. Changes in the centre of pressure and the total weight on the wheelchair's seat can be used to automatically characterise type, amplitude and duration of pressure relief manoeuvres. Building such a classification and quality assessment scheme into an algorithm could enable a virtual coaching system to track users' pressure relief behaviour and make suggestions to improve adherence with clinical recommendations. Multiple bending beam load cells can be used to measure wheelchair users' seated centre of pressure independent of type of cushion used. Both cluster analysis and decision tree algorithms can classify commonly practiced pressure reliefs by measuring changes to the centre of pressure and total weight on the wheelchair's seat. The combination of force sensing for centre of pressure determination and either algorithm could serve as the basis for an application to coach wheelchair users to do effective pressure reliefs. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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