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一种用于运动神经元疾病患者的基于眼电图的新型无线快速通信设备。

A novel EOG-based wireless rapid communication device for people with motor neuron diseases.

作者信息

Usakli Ali Bulent, Gurkan Serkan, Gurkan Guray, Kaya Alper

机构信息

a Department of Mechatronics Engineering , KTO Karatay University , Konya , Turkey.

b Department of Electrical and Electronics , The NCO Academy , Balikesir , Turkey.

出版信息

J Med Eng Technol. 2018 Aug;42(6):420-425. doi: 10.1080/03091902.2018.1531947. Epub 2018 Nov 22.

DOI:10.1080/03091902.2018.1531947
PMID:30465704
Abstract

In this study, a new electrooculography (EOG) based system that provides efficient communication for people suffered from motor neuron diseases is presented. The system consists of two distinct devices. The first device operates as a main unit that is activated by the subject's eye movements. This unit is capable of transmitting 10 different command/state messages. These messages enable subject to choose his/her situation such as "I'm fine", "I feel bad", "I'm hungry" and "I'm thirsty". Commands such as "Come", "Go". The number of messages can be increased. The main unit acquires the EOG signal from the subject. Newly developed analogue and digital signal conditioning interprets the eye movements as specific messages and transmits them to the second unit (receiver) using radio frequency transmitter. The messages related to the subject's demands and situation can be heard from both main and receiver unit speakers. The wireless receiver unit is capable of notifying the patient's command by auditory and visual indicators. The realised device was tested by 2 healthy and 2 ALS patients and confirmed to be successful with 100% performance for sending correct messages.

摘要

在本研究中,提出了一种基于眼电图(EOG)的新系统,该系统为患有运动神经元疾病的人提供高效通信。该系统由两个不同的设备组成。第一个设备作为主要单元,由受试者的眼球运动激活。该单元能够传输10种不同的命令/状态消息。这些消息使受试者能够选择他/她的状况,如“我很好”、“我感觉不舒服”、“我饿了”和“我渴了”。诸如“过来”、“走开”等命令。消息数量可以增加。主要单元从受试者获取眼电图信号。新开发的模拟和数字信号调理将眼球运动解释为特定消息,并使用射频发射器将其传输到第二个单元(接收器)。与受试者需求和状况相关的消息可以从主要单元和接收器单元的扬声器中听到。无线接收器单元能够通过听觉和视觉指示器通知患者的命令。该实现的设备由2名健康人和2名肌萎缩侧索硬化症(ALS)患者进行了测试,并确认在发送正确消息方面具有100%的成功率。

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