公开(公告)号：US07136695B2

公开(公告)日：2006-11-14

申请号：US09977052

申请日：2001-10-12

申请人： Benjamin D. Pless ,  Thomas K. Tcheng ,  Eyad Kishawi ,  Barbara Gibb ,  Javier Echauz ,  Rosana Esteller

发明人： Benjamin D. Pless ,  Thomas K. Tcheng ,  Eyad Kishawi ,  Barbara Gibb ,  Javier Echauz ,  Rosana Esteller

IPC分类号： A61B5/0476 ,  A61N1/18

CPC分类号： G06F19/3418 ,  A61B5/0476 ,  A61B5/4094 ,  A61B5/7217 ,  G06F19/00

摘要： An epileptiform activity patient-specific template creation system permits a user to efficiently develop an optimized set of patient-specific parameters for epileptiform activity detection algorithms. The epileptiform activity patient template creation system is primarily directed for use with an implantable neurostimulator system having EEG storage capability, in conjunction with a computer software program operating within a computer workstation having a processor, disk storage and input/output facilities for storing, processing and displaying patient EEG signals. The implantable neurostimulator is operative to store records of EEG data when neurological events are detected, when it receives external commands to record, or at preset or random times. The computer workstation operates on stored and uploaded records of EEG data to derive the patient-specific templates.

公开(公告)号：US07177674B2

公开(公告)日：2007-02-13

申请号：US10146663

申请日：2002-05-13

申请人： Javier Echauz ,  Rosana Esteller ,  Thomas K. Tcheng ,  Benjamin D. Pless

发明人： Javier Echauz ,  Rosana Esteller ,  Thomas K. Tcheng ,  Benjamin D. Pless

IPC分类号： A61B5/0476

CPC分类号： G06F19/3418 ,  A61B5/0476 ,  A61B5/4094 ,  A61B5/7217 ,  G06F19/00

摘要： An epileptiform activity patient-specific template creation system permits a user to efficiently develop an optimized set of patient-specific parameters for epileptiform activity detection algorithms. The epileptiform activity patient template creation system is primarily directed for use with an implantable neurostimulator system having EEG storage capability, in conjunction with a computer software program operating within a computer workstation having a processor, disk storage and input/output facilities for storing, processing and displaying patient EEG signals. The implantable neurostimulator is operative to store records of EEG data when neurological events are detected, when it receives external commands to record, or at preset or arbitrary times. The computer workstation operates on stored and uploaded records of EEG data to derive the patient-specific templates via a single local minimum variant of a multidimensional greedy line search process and a feature overlay process.

摘要翻译： 癫痫样活动患者特异性模板创建系统允许用户有效地开发用于癫痫样活动检测算法的优化的患者特异性参数集合。 癫痫样活动患者模板创建系统主要针对具有EEG存储能力的可植入神经刺激器系统使用，与在具有处理器，盘存储器和输入/输出设备的计算机工作站内操作的计算机软件程序相结合，用于存储，处理和 显示患者脑电信号。 当检测到神经系统事件时，当接收到外部命令进行记录或预设或任意时间时，可植入式神经刺激器用于存储EEG数据的记录。 计算机工作站对存储和上传的EEG数据记录进行操作，以通过多维贪婪线搜索过程和特征覆盖过程的单个局部最小变体导出患者特异性模板。

公开(公告)号：US20070142873A1

公开(公告)日：2007-06-21

申请号：US11469029

申请日：2006-08-31

申请人： Rosana Esteller ,  Javier Echauz ,  Brian Litt ,  George Vachtsevanos

发明人： Rosana Esteller ,  Javier Echauz ,  Brian Litt ,  George Vachtsevanos

IPC分类号： A61N1/00

CPC分类号： A61B5/076 ,  A61B5/0476 ,  A61B5/0482 ,  A61B5/4094 ,  A61B5/486 ,  A61B5/7203 ,  A61B5/726 ,  A61B5/7264 ,  A61B5/7267 ,  A61B5/7275 ,  A61N1/08 ,  A61N1/36082 ,  G06F19/00 ,  G06K9/00523

摘要： An adaptive method and apparatus for forecasting and controlling neurological abnormalities in humans such as seizures or other brain disturbances. The system is based on a multi-level control strategy. Using as inputs one or more types of physiological measures such as brain electrical, chemical or magnetic activity, heart rate, pupil dilation, eye movement, temperature, chemical concentration of certain substances, a feature set is selected off-line from a pre-programmed feature library contained in a high level controller within a supervisory control architecture. This high level controller stores the feature library within a notebook or external PC. The supervisory control also contains a knowledge base that is continuously updated at discrete steps with the feedback information coming from an implantable device where the selected feature set (feature vector) is implemented. This high level controller also establishes the initial system settings (off-line) and subsequent settings (on-line) or tunings through an outer control loop by an intelligent procedure that incorporates knowledge as it arises. The subsequent adaptive settings for the system are determined in conjunction with a low-level controller that resides within the implantable device. The device has the capabilities of forecasting brain disturbances, controlling the disturbances, or both. Forecasting is achieved by indicating the probability of an oncoming seizure within one or more time frames, which is accomplished through an inner-loop control law and a feedback necessary to prevent or control the neurological event by either electrical, chemical, cognitive, sensory, and/or magnetic stimulation.

摘要翻译： 一种用于预测和控制人类神经系统异常的自适应方法和装置，例如癫痫发作或其他大脑紊乱。 该系统基于多层次的控制策略。 使用作为输入的一种或多种类型的生理测量，例如脑电，化学或磁性活动，心率，瞳孔扩张，眼睛运动，温度，某些物质的化学浓度，特征集是从预先编程的 特征库包含在监控控制架构中的高级别控制器中。 该高级控制器将功能库存储在笔记本电脑或外部PC中。 监督控制还包含一个知识库，它以离散的步骤连续更新，反馈信息来自可实现选定特征集（特征向量）的可植入装置。 该高级控制器还通过包含知识的智能过程，通过外部控制环路建立初始系统设置（离线）和后续设置（在线）或调谐。 系统的后续自适应设置与驻留在可植入装置内的低级别控制器一起确定。 该装置具有预测大脑紊乱，控制干扰或两者兼有的能力。 通过指示在一个或多个时间范围内即将到来的癫痫发作的概率来实现预测，该概率通过内环控制规律和通过电学，化学，认知，感觉和/或功能来预防或控制神经学事件所必需的反馈 /或磁刺激。

公开(公告)号：US20070276279A1

公开(公告)日：2007-11-29

申请号：US11837801

申请日：2007-08-13

申请人： Javier Echauz ,  Brian Litt ,  Rosana Esteller ,  George Vachtsevanos

发明人： Javier Echauz ,  Brian Litt ,  Rosana Esteller ,  George Vachtsevanos

IPC分类号： A61B5/0476

CPC分类号： A61B5/7267 ,  A61B5/0476 ,  A61B5/076 ,  A61B5/4094 ,  A61B5/7275 ,  A61N1/08 ,  A61N1/36017 ,  A61N1/36064 ,  A61N1/36082 ,  A61N1/36135 ,  G06F19/3456 ,  G06F19/3481 ,  G06K9/6262 ,  G06K9/627 ,  G06K9/6278 ,  G16H50/20 ,  G16H50/50

摘要： A method and an apparatus for predicting and detecting epileptic seizure onsets within a unified multiresolution probabilistic framework, enabling a portion of the device to automatically deliver a progression of multiple therapies, ranging from benign to aggressive as the probabilities of seizure warrant. Based on novel computational intelligence algorithms, a realistic posterior probability function P(ST|x) representing the probability of one or more seizures starting within the next T minutes, given observations x derived from IEEG or other signals, is periodically synthesized for a plurality of prediction time horizons. When coupled with optimally determined thresholds for alarm or therapy activation, probabilities defined in this manner provide anticipatory time-localization of events in a synergistic logarithmic-like array of time resolutions, thus effectively circumventing the performance vs. prediction-horizon tradeoff of single-resolution systems. The longer and shorter prediction time scales are made to correspond to benign and aggressive therapies respectively. The imminence of seizure events serves to modulate the dosage and other parameters of treatment during open-loop or feedback control of seizures once activation is triggered. Fast seizure onset detection is unified within the framework as a degenerate form of prediction at the shortest, or even negative, time horizon. The device is required to learn in order to find the probabilistic prediction and control strategies that will increase the patient's quality of life over time. A quality-of-life index (QOLI) is used as an overall guide in the optimization of patient-specific signal features, the multitherapy activation decision logic, and to document if patients are actually improving.

摘要翻译： 一种用于在统一的多分辨率概率框架内预测和检测癫痫发作的方法和装置，使得该装置的一部分能够自动地递送多种治疗的进展，从良性到侵略性，随着癫痫发作的可能性。 基于新颖的计算智能算法，给出表示在下一个T分钟内开始的一次或多次癫痫发作的概率的现实后验概率函数P，给定从IEEG导出的观察值x或其他信号 周期性地合成多个预测时间间隔。 当与警报或治疗激活的最佳确定的阈值相结合时，以这种方式定义的概率提供事件在时间分辨率协同对数阵列中的预期时间定位，从而有效地规避了单分辨率的性能与预测 - 视距折衷 系统。 较长和较短的预测时间尺度分别对应于良性和侵略性疗法。 癫痫事件的紧急事件有助于在触发激活后，在开环或反馈控制缉获期间调节治疗的剂量和其他参数。 快速发作发作检测在框架内被统一为在最短或甚至负的时间范围内的退化形式的预测。 该设备需要学习才能找到随着时间的推移增加患者生活质量的概率预测和控制策略。 使用生活质量指数（QOLI）作为优化患者特异性信号特征，多功能激活决策逻辑的总体指导，并记录患者是否在实际改善。

公开(公告)号：US20080021342A1

公开(公告)日：2008-01-24

申请号：US11837814

申请日：2007-08-13

申请人： Javier Echauz ,  Brian Litt ,  Rosana Esteller ,  George Vachtsevanos

发明人： Javier Echauz ,  Brian Litt ,  Rosana Esteller ,  George Vachtsevanos

IPC分类号： A61B5/0476

CPC分类号： A61B5/7267 ,  A61B5/0476 ,  A61B5/076 ,  A61B5/4094 ,  A61B5/7275 ,  A61N1/08 ,  A61N1/36017 ,  A61N1/36064 ,  A61N1/36082 ,  A61N1/36135 ,  G06F19/00 ,  G06F19/3456 ,  G06F19/3481 ,  G06K9/6262 ,  G06K9/627 ,  G06K9/6278 ,  G16H50/20 ,  G16H50/50

摘要： A method and an apparatus for predicting and detecting epileptic seizure onsets within a unified multiresolution probabilistic framework, enabling a portion of the device to automatically deliver a progression of multiple therapies, ranging from benign to aggressive as the probabilities of seizure warrant. Based on novel computational intelligence algorithms, a realistic posterior probability function P(ST|x) representing the probability of one or more seizures starting within the next T minutes, given observations x derived from IEEG or other signals, is periodically synthesized for a plurality of prediction time horizons. When coupled with optimally determined thresholds for alarm or therapy activation, probabilities defined in this manner provide anticipatory time-localization of events in a synergistic logarithmic-like array of time resolutions, thus effectively circumventing the performance vs. prediction-horizon tradeoff of single-resolution systems. The longer and shorter prediction time scales are made to correspond to benign and aggressive therapies respectively. The imminence of seizure events serves to modulate the dosage and other parameters of treatment during open-loop or feedback control of seizures once activation is triggered. Fast seizure onset detection is unified within the framework as a degenerate form of prediction at the shortest, or even negative, time horizon. The device is required to learn in order to find the probabilistic prediction and control strategies that will increase the patient's quality of life over time. A quality-of-life index (QOLI) is used as an overall guide in the optimization of patient-specific signal features, the multitherapy activation decision logic, and to document if patients are actually improving.

摘要翻译： 一种用于在统一的多分辨率概率框架内预测和检测癫痫发作的方法和装置，使得该装置的一部分能够自动地递送多种治疗的进展，从良性到侵略性，随着癫痫发作的可能性。 基于新颖的计算智能算法，给出表示在下一个T分钟内开始的一次或多次癫痫发作的概率的现实后验概率函数P，给定从IEEG导出的观察值x或其他信号 周期性地合成多个预测时间间隔。 当与警报或治疗激活的最佳确定的阈值相结合时，以这种方式定义的概率提供事件在时间分辨率协同对数阵列中的预期时间定位，从而有效地规避了单分辨率的性能与预测 - 视距折衷 系统。 较长和较短的预测时间尺度分别对应于良性和侵略性疗法。 癫痫事件的紧急事件有助于在触发激活后，在开环或反馈控制缉获期间调节治疗的剂量和其他参数。 快速发作发作检测在框架内被统一为在最短或甚至负的时间范围内的退化形式的预测。 该设备需要学习才能找到随着时间的推移增加患者生活质量的概率预测和控制策略。 使用生活质量指数（QOLI）作为优化患者特异性信号特征，多功能激活决策逻辑的总体指导，并记录患者是否在实际改善。

公开(公告)号：US06658287B1

公开(公告)日：2003-12-02

申请号：US09762455

申请日：2001-05-18

申请人： Brian Litt ,  George Vachtsevanos ,  Javier Echauz ,  Rosana Esteller

发明人： Brian Litt ,  George Vachtsevanos ,  Javier Echauz ,  Rosana Esteller

IPC分类号： A61B504

CPC分类号： A61B5/048 ,  A61B5/0476 ,  A61B5/4094 ,  A61B5/726 ,  G06F19/00 ,  G06F19/3418 ,  G06F19/3481 ,  G16H15/00 ,  G16H40/63 ,  G16H50/20 ,  G16H50/50

摘要： This invention is a method, and system for predicting the onset of a seizure prior to electrograph onset in an individual. During an “off-line” mode, signals representing brain activity of an individual (either stored or real time) are collected, and features are extracted from those signals. A subset of features, which comprise a feature vector, are selected by a predetermined process to most efficiently predict (and detect) a seizure in that individual. An intelligent prediction subsystem is also trained “off-line” based on the feature vector derived from those signals. During “on-line” operation, features are continuously extracted from real time brain activity signals to form a feacture vector, and the feature vector is continuously analyzed with the intelligent prediction subsystem to predict seizure onset in a patient. The system, and method are preferably implemented in an implanted device (102) that is capable of warning externally an individual of the probability of a seizure, and/or automatically taking preventative actions to abort the seizure. In addition, methods are provided for applying intervention measures to an animal to abort or modulat a seizure by adjusting the modality of an intervention measure; and/or parameters of an intervention measure based upon a probability measure indicative of a likelihood of seizure occurrence; and/or a predicted time to seizure onset.

摘要翻译： 本发明是一种预测个体发作前发作发作的方法和系统。 在“离线”模式中，收集表示个体（存储或实时）的大脑活动的信号，并从那些信号中提取特征。 包括特征向量的特征子集通过预定过程进行选择，以最有效地预测（和检测）该个体中的癫痫发作。 基于从这些信号导出的特征向量，智能预测子系统也被“离线”训练。 在“在线”操作中，从实时脑活动信号中连续提取特征，形成发情矢量，并通过智能预测子系统不断分析特征向量，预测病人发作发作。 系统和方法优选地实施在植入装置（102）中，所述植入装置能够从外部警告个体发作的可能性，和/或自动采取预防措施来中止缉获。 此外，还提供了通过调整干预措施的方式对动物施加干预措施来中止或调节癫痫发作的方法; 和/或基于指示发作发生可能性的概率测量的干预措施的参数; 和/或预测发作时间。

公开(公告)号：US07333851B2

公开(公告)日：2008-02-19

申请号：US10662072

申请日：2003-09-12

申请人： Javier Ramón Echauz ,  Rosana Esteller ,  Brian Litt ,  George John Vachtsevanos

发明人： Javier Ramón Echauz ,  Rosana Esteller ,  Brian Litt ,  George John Vachtsevanos

IPC分类号： A61B5/04

CPC分类号： A61B5/7267 ,  A61B5/0476 ,  A61B5/076 ,  A61B5/4094 ,  A61B5/7275 ,  A61N1/08 ,  A61N1/36017 ,  A61N1/36064 ,  A61N1/36082 ,  A61N1/36135 ,  G06F19/00 ,  G06F19/3456 ,  G06F19/3481 ,  G06K9/6262 ,  G06K9/627 ,  G06K9/6278 ,  G16H50/20 ,  G16H50/50

摘要： A method and an apparatus for predicting and detecting epileptic seizure onsets within a unified multiresolution probabilistic framework, enabling a portion of the device to automatically deliver a progression of multiple therapies, ranging from benign to aggressive as the probabilities of seizure warrant. Based on novel computational intelligence algorithms, a realistic posterior probability function P(ST|x) representing the probability of one or more seizures starting within the next T minutes, given observations x derived from IEEG or other signals, is periodically synthesized for a plurality of prediction time horizons. When coupled with optimally determined thresholds for alarm or therapy activation, probabilities defined in this manner provide anticipatory time-localization of events in a synergistic logarithmic-like array of time resolutions, thus effectively circumventing the performance vs. prediction-horizon tradeoff of single-resolution systems. The longer and shorter prediction time scales are made to correspond to benign and aggressive therapies respectively. The imminence of seizure events serves to modulate the dosage and other parameters of treatment during open-loop or feedback control of seizures once activation is triggered. Fast seizure onset detection is unified within the framework as a degenerate form of prediction at the shortest, or even negative, time horizon. The device is required to learn in order to find the probabilistic prediction and control strategies that will increase the patient's quality of life over time. A quality-of-life index (QOLI) is used as an overall guide in the optimization of patient-specific signal features, the multitherapy activation decision logic, and to document if patients are actually improving.

摘要翻译： 一种用于在统一的多分辨率概率框架内预测和检测癫痫发作的方法和装置，使得该装置的一部分能够自动地递送多种治疗的进展，从良性到侵略性，随着癫痫发作的可能性。 基于新颖的计算智能算法，给出表示在下一个T分钟内开始的一次或多次癫痫发作的概率的现实后验概率函数P，给定从IEEG导出的观察值x或其他信号 周期性地合成多个预测时间间隔。 当与警报或治疗激活的最佳确定的阈值相结合时，以这种方式定义的概率提供事件在时间分辨率协同对数阵列中的预期时间定位，从而有效地规避了单分辨率的性能与预测 - 视距折衷 系统。 较长和较短的预测时间尺度分别对应于良性和侵略性疗法。 癫痫事件的紧急事件有助于在触发激活后，在开环或反馈控制缉获期间调节治疗的剂量和其他参数。 快速发作发作检测在框架内被统一为在最短或甚至负的时间范围内的退化形式的预测。 该设备需要学习才能找到随着时间的推移增加患者生活质量的概率预测和控制策略。 使用生活质量指数（QOLI）作为优化患者特异性信号特征，多功能激活决策逻辑的总体指导，并记录患者是否在实际改善。

公开(公告)号：US08065011B2

公开(公告)日：2011-11-22

申请号：US11469029

申请日：2006-08-31

申请人： Javier Ramón Echauz ,  Brian Litt ,  Rosana Esteller ,  George John Vachtsevanos

发明人： Javier Ramón Echauz ,  Brian Litt ,  Rosana Esteller ,  George John Vachtsevanos

IPC分类号： A61N1/00

CPC分类号： A61B5/076 ,  A61B5/0476 ,  A61B5/0482 ,  A61B5/4094 ,  A61B5/486 ,  A61B5/7203 ,  A61B5/726 ,  A61B5/7264 ,  A61B5/7267 ,  A61B5/7275 ,  A61N1/08 ,  A61N1/36082 ,  G06F19/00 ,  G06K9/00523

摘要： An adaptive method and apparatus for forecasting and controlling neurological abnormalities in humans such as seizures or other brain disturbances. The system is based on a multi-level control strategy. Using as inputs one or more types of physiological measures such as brain electrical, chemical or magnetic activity, heart rate, pupil dilation, eye movement, temperature, chemical concentration of certain substances, a feature set is selected off-line from a pre-programed feature library contained in a high level controller within a supervisory control architecture. This high level controller stores the feature library within a notebook or external PC. The supervisory control also contains a knowledge base that is continuously updated at discrete steps with the feedback information coming from an implantable device where the selected feature set (feature vector) is implemented. This high level controller also establishes the initial system settings (off-line) and subsequent settings (on-line) or tunings through an outer control loop by an intelligent procedure that incorporates knowledge as it arises. The subsequent adaptive settings for the system are determined in conjunction with a low-level controller that resides within the implantable device. The device has the capabilities of forecasting brain disturbances, controlling the disturbances, or both. Forecasting is achieved by indicating the probability of an oncoming seizure within one or more time frames, which is accomplished through an inner-loop control law and a feedback necessary to prevent or control the neurological event by either electrical, chemical, cognitive, sensory, and/or magnetic stimulation.

摘要翻译： 一种用于预测和控制人类神经系统异常的自适应方法和装置，例如癫痫发作或其他大脑紊乱。 该系统基于多层次的控制策略。 使用作为输入的一种或多种类型的生理测量，例如脑电，化学或磁性活动，心率，瞳孔扩张，眼睛运动，温度，某些物质的化学浓度，特征集是从预编程的离线 特征库包含在监控控制架构中的高级别控制器中。 该高级控制器将功能库存储在笔记本电脑或外部PC中。 监督控制还包含一个知识库，它以离散的步骤连续更新，反馈信息来自可实现选定特征集（特征向量）的可植入装置。 该高级控制器还通过包含知识的智能过程，通过外部控制环路建立初始系统设置（离线）和后续设置（在线）或调谐。 系统的后续自适应设置与驻留在可植入装置内的低级别控制器一起确定。 该装置具有预测大脑紊乱，控制干扰或两者兼有的能力。 通过指示在一个或多个时间范围内即将到来的癫痫发作的概率来实现预测，该概率通过内环控制规律和通过电学，化学，认知，感觉和/或功能来预防或控制神经学事件所必需的反馈 /或磁刺激。

公开(公告)号：US06594524B2

公开(公告)日：2003-07-15

申请号：US09735364

申请日：2000-12-12

申请人： Rosana Esteller ,  Javier Ramón Echauz ,  Brian Litt ,  George John Vachtsevanos

发明人： Rosana Esteller ,  Javier Ramón Echauz ,  Brian Litt ,  George John Vachtsevanos

IPC分类号： A61N118

CPC分类号： A61B5/076 ,  A61B5/0476 ,  A61B5/0482 ,  A61B5/4094 ,  A61B5/486 ,  A61B5/7203 ,  A61B5/726 ,  A61B5/7264 ,  A61B5/7267 ,  A61B5/7275 ,  A61N1/08 ,  A61N1/36082 ,  G06F19/00 ,  G06K9/00523

摘要： A method and apparatus for forecasting and controlling neurological abnormalities in humans such as seizures or other brain disturbances. The system is based on a multi-level control strategy. Using as inputs one or more types of physiological measures such as brain electrical, chemical or magnetic activity, heart rate, pupil dilation, eye movement, temperature, chemical concentration of certain substances, a feature set is selected off-line from a pre-programmed feature library contained in a high level controller within a supervisory control architecture. This high level controller stores the feature library within a notebook or external PC. The supervisory control also contains a knowledge base that is continuously updated at discrete steps with the feedback information coming from an implantable device where the selected feature set (feature vector) is implemented. This high level controller also establishes the initial system settings (off-line) and subsequent settings (on-line) or tunings through an outer control loop by an intelligent procedure that incorporates knowledge as it arises. The subsequent adaptive settings for the system are determined in conjunction with a low-level controller that resides within the implantable device. The device has the capabilities of forecasting brain disturbances, controlling the disturbances, or both. Forecasting is achieved by indicating the probability of an oncoming seizure within one or more time frames, which is accomplished through an inner-loop control law and a feedback necessary to prevent or control the neurological event by either electrical, chemical, cognitive, sensory, and/or magnetic stimulation.

公开(公告)号：US08086294B2

公开(公告)日：2011-12-27

申请号：US11837814

申请日：2007-08-13

申请人： Javier Ramón Echauz ,  Brian Litt ,  Rosana Esteller ,  George John Vachtsevanos

发明人： Javier Ramón Echauz ,  Brian Litt ,  Rosana Esteller ,  George John Vachtsevanos

IPC分类号： A61B5/04 ,  G01N33/48 ,  G01N31/00

CPC分类号： A61B5/7267 ,  A61B5/0476 ,  A61B5/076 ,  A61B5/4094 ,  A61B5/7275 ,  A61N1/08 ,  A61N1/36017 ,  A61N1/36064 ,  A61N1/36082 ,  A61N1/36135 ,  G06F19/00 ,  G06F19/3456 ,  G06F19/3481 ,  G06K9/6262 ,  G06K9/627 ,  G06K9/6278 ,  G16H50/20 ,  G16H50/50

摘要： A method and system for assessing a quality of life index to adjust an implanted device to optimize patient-specific feature signals and treatment therapies. Accumulated energy of intracranial electroencephalogram (IEEG) signals is calculated over multiple data channels during seizures over a fixed time period. Accumulated energy of a treatment control is calculated over the multiple data channels over all times of activation of the implanted device over the fixed time period. The accumulated energy of both the IEEG signals and treatment control are weighted by seizure and treatment factors to determine a quality value for the fixed time period. A quality of life index is determined as a weighted average of current and previous quality values for a plurality of fixed time periods.

摘要翻译： 一种用于评估生活质量指数以调整植入装置以优化患者特异性特征信号和治疗疗法的方法和系统。 在固定时间段内癫痫发作期间，通过多个数据通道计算颅内脑电图（IEEG）信号的累积能量。 在固定时间段内在植入装置的所有激活时间内，通过多个数据通道计算处理控制的累积能量。 IEEG信号和治疗控制的累积能量通过扣押和处理因子加权，以确定固定时间段的质量值。 生活质量指数被确定为多个固定时间段的当前和先前质量值的加权平均值。