公开(公告)号：US06810285B2

公开(公告)日：2004-10-26

申请号：US09896092

申请日：2001-06-28

申请人： Benjamin D. Pless ,  Stephen T. Archer ,  Craig M. Baysinger ,  Barbara Gibb ,  Suresh K. Gurunathan ,  Bruce Kirkpatrick ,  Thomas K. Tcheng

发明人： Benjamin D. Pless ,  Stephen T. Archer ,  Craig M. Baysinger ,  Barbara Gibb ,  Suresh K. Gurunathan ,  Bruce Kirkpatrick ,  Thomas K. Tcheng

IPC分类号： A61B50476

CPC分类号： A61B5/4094 ,  A61B5/04012 ,  A61B5/0476 ,  A61B5/0478 ,  A61B5/6868 ,  A61B5/7203 ,  A61B5/7242 ,  A61B5/7246 ,  A61B5/7264 ,  A61B5/7275 ,  G06F19/00

摘要： A system and method for detecting and predicting neurological events with an implantable device uses a relatively low-power central processing unit in connection with signal processing circuitry to identify features (including half waves) and calculate window-based characteristics (including line lengths and areas under the curve of the waveform) in an electrographic signal received from a patient's brain. The features and window-based characteristics are combinable in various ways according to the invention to detect and predict neurological events in real time, enabling responsive action by the implantable device.

摘要翻译： 使用可植入装置检测和预测神经病学的系统和方法使用与信号处理电路相关联的相对低功率的中央处理单元来识别特征（包括半波）并计算基于窗口的特征（包括线路长度和面积 在从患者的大脑接收的电图信号中波形的曲线）。 根据本发明的特征和基于窗口的特征可以以各种方式组合以实时检测和预测神经病学事件，从而能够实现可植入装置的响应作用。