title: [Portable Epileptic Seizure Monitoring Intelligent System Based on Android System].
abstract: The clinical electroencephalogram (EEG) monitoring systems based on personal computer system can not meet the requirements of portability and home usage. The epilepsy patients have to be monitored in hospital for an extended period of time, which imposes a heavy burden on hospitals. In the present study, we designed a portable 16-lead networked monitoring system based on the Android smart phone. The system uses some technologies including the active electrode, the WiFi wireless transmission, the multi-scale permutation entropy (MPE) algorithm, the back-propagation (BP) neural network algorithm, etc. Moreover, the software of Android mobile application can realize the processing and analysis of EEG data, the display of EEG waveform and the alarm of epileptic seizure. The system has been tested on the mobile phones with Android 2. 3 operating system or higher version and the results showed that this software ran accurately and steadily in the detection of epileptic seizure. In conclusion, this paper provides a portable and reliable solution for epileptic seizure monitoring in clinical and home applications.
authors.forename: Zhenhu
authors.initials: Z
authors.lastname: Liang
authors.forename: Shufeng
authors.initials: S
authors.lastname: Wu
authors.forename: Chunlin
authors.initials: C
authors.lastname: Yang
authors.forename: Zhenzhou
authors.initials: Z
authors.lastname: Jiang
authors.forename: Tao
authors.initials: T
authors.lastname: Yu
authors.forename: Chengbiao
authors.initials: C
authors.lastname: Lu
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Li
mesh_terms: D000465:Algorithms; D040421:Cell Phone; D004562:Electrocardiography; D004569:Electroencephalography / Q000295:instrumentation*; D019277:Entropy; D004827:Epilepsy / Q000175:diagnosis*; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D016571:Neural Networks, Computer; D012984:Software