Suppr超能文献

支持系统以提高帕金森病和原发性震颤患者的阅读能力。

Support System to Improve Reading Activity in Parkinson's Disease and Essential Tremor Patients.

机构信息

Faculty of Computer Science, Complutense University of Madrid, Av. Séneca, 2, 28040 Madrid, Spain.

Neurology Department, "La Princesa" University Hospital, Calle de Diego Leon, 62, 28006 Madrid, Spain.

出版信息

Sensors (Basel). 2017 May 3;17(5):1006. doi: 10.3390/s17051006.

Abstract

The use of information and communication technologies (ICTs) to improve the quality of life of people with chronic and degenerative diseases is a topic receiving much attention nowadays. We can observe that new technologies have driven numerous scientific projects in e-Health, encompassing Smart and Mobile Health, in order to address all the matters related to data processing and health. Our work focuses on helping to improve the quality of life of people with Parkinson's Disease (PD) and Essential Tremor (ET) by means of a low-cost platform that enables them to read books in an easy manner. Our system is composed of two robotic arms and a graphical interface developed for Android platforms. After several tests, our proposal has achieved a 96.5% accuracy for A4 80 gr non-glossy paper. Moreover, our system has outperformed the state-of-the-art platforms considering different types of paper and inclined surfaces. The feedback from ET and PD patients was collected at "La Princesa" University Hospital in Madrid and was used to study the user experience. Several features such as ease of use, speed, correct behavior or confidence were measured via patient feedback, and a high level of satisfaction was awarded to most of them. According to the patients, our system is a promising tool for facilitating the activity of reading.

摘要

利用信息和通信技术(ICT)来提高慢性病和退行性疾病患者的生活质量是当今备受关注的话题。我们可以看到,新技术推动了许多电子健康领域的科学项目,包括智能和移动健康,以解决与数据处理和健康相关的所有问题。我们的工作重点是通过一个低成本的平台帮助改善帕金森病(PD)和原发性震颤(ET)患者的生活质量,使他们能够轻松阅读书籍。我们的系统由两个机器人手臂和一个为 Android 平台开发的图形界面组成。经过多次测试,我们的方案在 A4 80 克非光面纸上达到了 96.5%的准确率。此外,与不同类型的纸张和倾斜表面相比,我们的系统表现优于最先进的平台。马德里“拉·普林西佩”大学医院收集了 ET 和 PD 患者的反馈意见,并用于研究用户体验。通过患者反馈,测量了易用性、速度、正确行为或信心等几个特征,并对大多数特征给予了高度评价。根据患者的反馈,我们的系统是一种很有前途的工具,可以方便阅读活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/189c/5469529/047fc8296351/sensors-17-01006-g001.jpg

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