accelerometers; biomedical telemetry; electroencephalography; medical disorders; medical signal detection; moving average processes; wireless sensor networks; EEG signal analysis; accelerometer measurement; base station; current value; detection accuracy; detection approach reliability; dynamic threshold; early detection; electroencephalogram analysis; epileptic patient; exponentially weighted moving average algorithm; false alarm rate reduction; filling ratio; forecasted values; lightweight approach; majority voting; measured values; mobile health detection systems; nocturnal epileptic seizure detection; physiological parameters; predefined threshold; real dataset; received notifications; sliding window; temporal fluctuations; wireless 3-D accelerometer sensors; Accelerometers; Electroencephalography; Sensors; Time measurement; Wireless communication; Wireless sensor networks; Wrist; 3-D accelerometer; Anomaly Detection; EEG; EWMA; Epileptic Seizure Detection; Wireless Sensors Networks;
机译:使用惯性和肌肉传感器进行夜间癫痫发作检测
机译:利用云计算和无线传感器网络自动预测癫痫发作
机译:基于无线传感器网络的电子健康应用加速度传感器模块和跌倒检测监控系统
机译:使用无线3-D加速度计传感器检测夜间癫痫发作
机译:提高MMPI-2-RF区分精神性非癫痫性发作和癫痫性癫痫发作的能力。
机译:基于组合微传感器的密码癫痫发作的多峰检测
机译:使用无线传感器网络检测癫痫癫痫发作