Validating a wheelchair in-seat activity tracker.
Validating a wheelchair in-seat activity tracker.
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DOI：
10.1080/10400435.2021.1893237
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发表时间：
2022-09-03
期刊：
影响因子：
--
通讯作者：
Sprigle S
中科院分区：
文献类型：
--
作者：
Ahad N;Sonenblum SE;Davenport MA;Sprigle S
轮椅使用者经常经历长时间的静止坐着。这些时期伴随着坐骨结节负荷的增加。这可能导致压疮的发展，从而导致败血症等并发症。建议定期减压以减少压疮的发生。专家建议定期执行不同的动作，以提供所需的压力卸载。然而，轮椅使用者可能不记得在质量和数量方面执行这些建议的运动。一个可以检测这种运动的系统可以为轮椅使用者和临床医生提供有价值的反馈。本研究的目的是介绍并验证WiSAT --一种用于表征轮椅使用者座位活动的系统。WiSAT旨在检测两种运动-重量转移和座位上的运动。重量转移是指与直立坐姿相比，将坐骨结节上的压力减轻30%的运动，并保持15秒。坐在座位上的运动是短暂的瞬时运动，涉及坐在臀部上的压力中心的变化或总负荷瞬时减少30%。这项研究验证了WiSAT在手动轮椅上的使用。WiSAT有一个传感器垫，插在轮椅坐垫下面。WiSAT算法使用这些传感器的读数来预测体重变化和座位移动。这些重量转移和座位上的运动是在类似于真实的世界使用的数据集中针对高分辨率界面压力垫进行验证的。所提出的系统实现了重量转移的准确率和召回分数分别为81%和80%，而在座位上的运动分数预测的平均绝对误差为22%。结果表明，WiSAT提供了足够的准确性，在座位上的活动，在重量转移和座位上的运动。
Wheelchair users often experience prolonged periods of stationary sitting. Such periods are accompanied with increased loading of the ischial tuberosities. This can lead to the development of pressure ulcers which can cause complications such as sepsis. Periodic pressure offloading is recommended to reduce the onset of pressure ulcers. Experts recommend the periodic execution of different movements to provide the needed pressure offloading. Wheelchair users, however, might not remember to perform these recommended movements in terms of both quality and quantity. A system that can detect such movements could provide valuable feedback to both wheelchair users as well as clinicians. The objective of this study was to present and validate the WiSAT – a system for characterizing in-seat activity for wheelchair users. WiSAT is designed to detect two kinds of movements – weight shifts and in-seat movements. Weight shifts are movements that offload pressure on ischial tuberosities by 30% as compared to upright sitting and are maintained for 15 seconds. In-seat movements are shorter transient movements that involve either a change in the center of pressure on the sitting buttocks or a transient reduction in total load by 30%. This study validates the use of WiSAT in manual wheelchairs. WiSAT has a sensor mat which was inserted beneath a wheelchair cushion. Readings from these sensors were used by WiSAT algorithms to predict weight shifts and in-seat movements. These weight shifts and in-seat movements were validated against a high-resolution interface pressure mat in a dataset that resembles real world usage. The proposed system achieved weight shift precision and recall scores of 81% and 80% respectively while in-seat movement scores were predicted with a mean absolute error of 22%. Results showed that WiSAT provides sufficient accuracy in characterizing in-seat activity in terms of weight shifts and in-seat movement.
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DOI：
10.1080/10400435.2016.1220993
发表时间：
2017
期刊：
Assistive technology : the official journal of RESNA
影响因子：
--
作者：
Dowling AV;Eberly V;Maneekobkunwong S;Mulroy SJ;Requejo PS;Gwin JT
通讯作者：
Gwin JT
DOI：
10.1016/j.apmr.2014.01.007
发表时间：
2014-07-01
影响因子：
4.3
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Sprigle, Stephen H.
DOI：
10.1682/jrrd.2015.07.0130
发表时间：
2016-01-01
影响因子：
--
作者：
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通讯作者：
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影响因子：
1.7
作者：
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通讯作者：
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影响因子：
1.7
作者：
Bates-Jensen, Barbara M.;Guihan, Marylou;Burns, Stephen P.
通讯作者：
Burns, Stephen P.