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DOI 10.1080/17483107.2021.1967472

Медицинская библиотека · Disability and rehabilitation. Assistive technology · 2021

Classification of wheelchair pressure relief maneuvers using changes in center of pressure and weight on the seat.

Sundaram S Andrea, Grindle Garrett, Gebrosky Benjamin, Brown Josh, Kelleher Annmarie, Cooper Rosemarie, Chung Cheng-Shiu, Cooper Rory A

СтатьяПоддержка исследования: вне правительства СШАПоддержка правительства СШАПеревод в очереди

Аннотация

BACKGROUND

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.

OBJECTIVE

To identify effective common wheelchair pressure relief (PR) manoeuvres based on changes to users' seated centre of pressure (CoP) and seated weight.

PARTICIPANTS

20 individuals who use manual wheelchairs as their primary means of mobility.

METHODS

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.

RESULTS

Both clustering and decision tree approaches were able to identify and classify PR though neither could accurately distinguish between forward and backward PR.

CONCLUSION

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.IMPLICATIONS FOR REHABILITATIONMultiple 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.

Для цитирования: Sundaram S Andrea, Grindle Garrett, Gebrosky Benjamin, Brown Josh, Kelleher Annmarie, Cooper Rosemarie, Chung Cheng-Shiu, Cooper Rory A. Classification of wheelchair pressure relief maneuvers using changes in center of pressure and weight on the seat.. Disability and rehabilitation. Assistive technology. 2021. DOI: 10.1080/17483107.2021.1967472.

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