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An Evaluation of Sit to Stand Devices for Use in Rehabilitation

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Book cover Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 824))

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Abstract

There are many assistive devices to help with raising a person from a seat. These devices are considered active as they require some balance, trunk control and weightbearing ability. There is concern that this movement is mostly passive due to fixation at the trunk and knee. This study explores the movement patterns in sit to stand transfers active and assisted.

Study Design: A fully squared repeated measures design was use. All participants (n = 20) used all conditions (n = 7) in a balanced order. Transfers were recorded with; video recordings, a 6 dimensional force plate, hip, knee and ankle positions were recorded with motion capture. Subjective evaluations for comfort and security were completed. Physical data was compared with ANOVA calculations with Bonferroni corrections.

Results: Device G scored highest for comfort, knee support and overall preference. Sling movement had a negative effect on the sensations of comfort and security. The motion analysis of the flexible knee support showed:

  • People push into the floor and CoP moved towards the toe.

  • More anterior knee movement (P < 0.05).

  • More bodyweight through feet (P < 0.05).

  • Quicker transfer of weight onto feet.

  • Very low bodyweight was recorded in all lowering actions.

The use of a flexible knee support raised the subjective and physical performance of the assistive device and may improve rehabilitation responses.

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Correspondence to M. Fray .

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Fray, M., Hignett, S., Reece, A., Ali, S., Ingram, L. (2019). An Evaluation of Sit to Stand Devices for Use in Rehabilitation. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-96071-5_81

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