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Detection of spontaneous temporal lobe epilepsy in rats by means of 1-axis accelerometor signal

机译:利用一轴加速器信号检测大鼠自发性颞叶癫痫

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Epilepsy is the most common psychological disorders in humans. Patients suffering from epilepsy usually experience behavioral symptoms, such as involuntary movement and rage reaction. Conventional monitoring with electroencephalogram and video is unpleasant for patients and not feasible for long-term monitoring. In this work, a seizure detection system with an accelerometer set on the subject's head is proposed to monitor the behavioral activities and to detect the seizure events in subjects. The Wistar rats with temporal lobe epilepsy (TLE) were used in our experiment. To reduce the computational energy, only one axis signal was utilized for seizure detection. A three-state finite state machine (FSM) was applied to determine the seizure activities, and the temporal features of y-axis ACC signal were calculated for state transition. The results show that our proposed on-line detection method can achieve 100% accuracy with extremely low false alarm rate of 0.035. It has the advantage of easy measurement and good performance for real-world applicability.
机译:癫痫病是人类最常见的心理疾病。患有癫痫病的患者通常会出现行为症状,例如不自主运动和愤怒反应。常规的用脑电图和视频进行监视对于患者而言是令人不快的,并且对于长期监视而言是不可行的。在这项工作中,提出了一种在受试者的头部上安装有加速度计的癫痫发作检测系统,以监视行为活动并检测受试者的癫痫发作事件。在我们的实验中使用了颞叶癫痫(TLE)的Wistar大鼠。为了减少计算量,仅将一个轴信号用于癫痫发作检测。应用三态有限状态机(FSM)来确定癫痫发作的活动,并计算y轴ACC信号的时间特征以进行状态转换。结果表明,我们提出的在线检测方法可以达到100%的准确度,而虚警率仅为0.035,极低。它具有易于测量和良好性能的优点,可在实际应用中使用。

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