An IoT Platform for Epilepsy Monitoring and Supervising

被引:32
|
作者
Vergara, Paula M. [1 ]
de la Cal, Enrique [1 ]
Villar, Jose R. [1 ]
Gonzalez, Victor M. [2 ]
Sedano, Javier [3 ]
机构
[1] Univ Oviedo, Comp Sci Dept, Campus Viesques,S-N, Gijon 33204, Spain
[2] Univ Oviedo, DIEECS, Campus Viesques,S-N, Gijon 33204, Spain
[3] Inst Tecnol Castilla & Leon, Polg Ind Villalonquejar,Lopez Bravo 70, Burgos 09001, Spain
关键词
TONIC-CLONIC SEIZURES; WRIST ACCELEROMETER; MOBILE; SYSTEMS; ILAE; CARE;
D O I
10.1155/2017/6043069
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Epilepsy is a chronic neurological disorder with several different types of seizures, some of them characterized by involuntary recurrent convulsions, which have a great impact on the everyday life of the patients. Several solutions have been proposed in the literature to detect this type of seizures and to monitor the patient; however, these approaches lack in ergonomic issues and in the suitable integration with the health system. This research makes an in-depth analysis of the main factors that an epileptic detection and monitoring tool should accomplish. Furthermore, we introduce the architecture for a specific epilepsy detection and monitoring platform, fulfilling these factors. Special attention has been given to the part of the system the patient should wear, providing details of this part of the platform. Finally, a partial implementation has been deployed and several tests have been proposed and carried out in order to make some design decisions.
引用
收藏
页数:18
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