Department of Medical Biophysics, Faculty of Medicine in Hradec Kralove, Charles University, Simkova 870, Hradec Kralove, Czech Republic.
J Neuroeng Rehabil. 2023 Jun 9;20(1):75. doi: 10.1186/s12984-023-01193-w.
In severe conditions of limited motor abilities, frequent position changes for work or passive and active rest are essential bedside activities to prevent further health complications. We aimed to develop a system using eye movements for bed positioning and to verify its functionality in a control group and a group of patients with significant motor limitation caused by multiple sclerosis.
The eye-tracking system utilized an innovative digital-to-analog converter module to control the positioning bed via a novel graphical user interface. We verified the ergonomics and usability of the system by performing a fixed sequence of positioning tasks, in which the leg and head support was repeatedly raised and then lowered. Fifteen women and eleven men aged 42.7 ± 15.9 years in the control group and nine women and eight men aged 60.3 ± 9.14 years in the patient group participated in the experiment. The degree of disability, according to the Expanded Disability Status Scale (EDSS), ranged from 7 to 9.5 points in the patients. We assessed the speed and efficiency of the bed control and the improvement during testing. In a questionnaire, we evaluated satisfaction with the system.
The control group mastered the task in 40.2 s (median) with an interquartile interval from 34.5 to 45.5 s, and patients mastered the task in in 56.5 (median) with an interquartile interval from 46.5 to 64.9 s. The efficiency of solving the task (100% corresponds to an optimal performance) was 86.3 (81.6; 91.0) % for the control group and 72.1 (63.0; 75.2) % for the patient group. Throughout testing, the patients learned to communicate with the system, and their efficiency and task time improved. A correlation analysis showed a negative relationship (rho = - 0.587) between efficiency improvement and the degree of impairment (EDSS). In the control group, the learning was not significant. On the questionnaire survey, sixteen patients reported gaining confidence in bed control. Seven patients preferred the offered form of bed control, and in six cases, they would choose another form of interface.
The proposed system and communication through eye movements are reliable for positioning the bed in people affected by advanced multiple sclerosis. Seven of 17 patients indicated that they would choose this system for bed control and wished to extend it for another application.
在严重的运动能力受限情况下,频繁改变体位以进行工作或被动和主动休息是预防进一步健康并发症的重要床边活动。我们旨在开发一种使用眼球运动来定位床的系统,并在对照组和一组因多发性硬化症而导致严重运动受限的患者中验证其功能。
眼动跟踪系统使用创新的数模转换器模块通过新颖的图形用户界面控制定位床。我们通过执行一系列固定的定位任务来验证系统的人体工程学和可用性,其中腿部和头部支撑被反复抬起和放下。对照组有 15 名女性和 11 名男性,年龄 42.7±15.9 岁,患者组有 9 名女性和 8 名男性,年龄 60.3±9.14 岁。根据扩展残疾状况量表(EDSS),患者的残疾程度为 7 至 9.5 分。我们评估了床控制的速度和效率以及测试过程中的改进。在一份问卷中,我们评估了对系统的满意度。
对照组在 40.2 秒(中位数)内掌握任务,四分位区间为 34.5 至 45.5 秒,而患者在 56.5 秒(中位数)内掌握任务,四分位区间为 46.5 至 64.9 秒。解决任务的效率(100%对应于最佳性能)为对照组的 86.3(81.6;91.0)%和患者组的 72.1(63.0;75.2)%。在整个测试过程中,患者学会了与系统进行沟通,他们的效率和任务时间都有所提高。相关性分析显示,效率提高与损伤程度(EDSS)呈负相关(rho=-0.587)。在对照组中,学习效果不明显。在问卷调查中,16 名患者表示对床控制有信心。7 名患者喜欢所提供的床控制形式,而在 6 个案例中,他们会选择另一种形式的界面。
提出的系统和通过眼球运动进行的通信对于定位受严重多发性硬化症影响的人来说是可靠的。17 名患者中有 7 名表示他们将选择此系统进行床控制,并希望将其扩展用于另一种应用。