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Implantable IoT System for Closed-Loop Epilepsy Control based on Electrical Neuromodulation

机译:基于神经电调节的闭环癫痫控制植入式物联网系统

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A closed-loop system aiming at epilepsy control is proposed in this paper, in which electrical stimulation is triggered upon a decision aggragating different biological signatures of the seizure such as changes in the heart rate, blood flow in the brain, along side the changes in the iEEG signals. iEEG signals are recorded and processed in the implantable part of the system. Electrical stimulation of deep-brain or vagus nerve targets which are known to be effective in seizure abortion is started upon detection of a seizre onset. This paper focuses on the implantable part of the system including a high dynamic-range amplifier, a sub-ranging/amplification stage, a line-length feature extractor and a stimulator. The implantable part is integrated using a 0.18 μm technology.
机译:本文提出了一种针对癫痫控制的闭环系统,该系统中的电刺激是根据癫痫发作的不同生物特征(例如心率变化,脑部血流以及血脂变化)的决策触发的。 iEEG信号。 iEEG信号在系统的可植入部分中记录和处理。一旦检测到癫痫发作,就开始电刺激已知对癫痫流产有效的深脑或迷走神经靶。本文重点介绍系统的可植入部分,包括一个高动态范围放大器,一个子范围/放大级,一个线长特征提取器和一个刺激器。可植入部分使用0.18μm技术集成。

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