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1.发明申请SYSTEM AND METHOD OF PREDICTION OF RESPONSE TO NEUROLOGICAL TREATMENT USING THE ELECTROENCEPHALOGRAM 审中-公开使用电化学法预测对神经病理治疗的反应系统及方法
公开(公告)号：WO2006089181A1
公开(公告)日：2006-08-24
申请号：PCT/US2006/005767
申请日：2006-02-17
Applicant: ASPECT MEDICAL SYSTEMS, INC. , DEVLIN, Philip, R. , GREENWALD, Scott, D.
Inventor： DEVLIN, Philip, R. , GREENWALD, Scott, D.
IPC: A61B5/0476 , A61N1/36
CPC classification number: A61B5/0476 , A61B5/048 , A61N1/0534 , A61N1/0551 , A61N1/36025 , A61N1/36082
Abstract: Disclosed is a system and method of assessing the efficacy of and predicting response to treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes to acquire EEG signals from the surface of a patient’s body, a processor for computing from the EEG signals various features and indices that are representative of the patient’s neurological or psychological state. Pretreatment indices represent a patient’s neurological or psychological state and therefore may be used to predict the response to treatment. Changes in these parameters may be used to assess the efficacy of treatment and to modify the treatment to optimize the resultant patient state.
Abstract translation: 公开了一种评估治疗神经或心理障碍的疗效和预测应答的系统和方法。 优选实施例使用至少两个表面电极从患者身体的表面获取EEG信号，用于从EEG计算的处理器发出代表患者神经或心理状态的各种特征和指数。 预处理指数代表患者的神经或心理状态，因此可用于预测治疗反应。 这些参数的改变可用于评估治疗的功效和修改治疗以优化所得患者状态。
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2.发明公开SYSTEM AND METHOD OF PREDICTION OF RESPONSE TO NEUROLOGICAL TREATMENT USING THE ELECTROENCEPHALOGRAM 审中-公开系统和方法预测对治疗的反应与神经系统脑电图
公开(公告)号：EP1850742A1
公开(公告)日：2007-11-07
申请号：EP06735429.0
申请日：2006-02-17
Applicant: ASPECT MEDICAL SYSTEMS, INC.
Inventor： DEVLIN, Philip, R. , GREENWALD, Scott, D.
IPC: A61B5/0476 , A61N1/36
CPC classification number: A61B5/0476 , A61B5/048 , A61N1/0534 , A61N1/0551 , A61N1/36025 , A61N1/36082
Abstract: Disclosed is a system and method of assessing the efficacy of and predicting response to treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes to acquire EEG signals from the surface of a patient’s body, a processor for computing from the EEG signals various features and indices that are representative of the patient’s neurological or psychological state. Pretreatment indices represent a patient’s neurological or psychological state and therefore may be used to predict the response to treatment. Changes in these parameters may be used to assess the efficacy of treatment and to modify the treatment to optimize the resultant patient state.
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