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    Electroencephalographic system for the quantitative description of patient brain states
    91.
    发明公开
    Electroencephalographic system for the quantitative description of patient brain states 失效
    对患者的大脑状态的定量描述脑电图系统。

    公开(公告)号：EP0013183A1

    公开(公告)日：1980-07-09

    申请号：EP79303072.7

    申请日：1979-12-28

    申请人： John, Erwin Roy

    发明人： John, Erwin Roy

    IPC分类号： A61B5/04 ,  G06F15/42

    CPC分类号： A61B5/0484 ,  A61B5/0476 ,  A61B5/048 ,  A61B5/4076 ,  A61B5/6843

    摘要： A method and system for the quantitative description of human abnormal brain states, for example, to distinguish cerebral death from a barbiturate induced deep coma, includes an electroencephalograph (EEG) system utilizing scalp electrodes 10 and amplifiers 11, 12. A computer based system controls a multimodal stimulator 17 (clicks, flashes, etc) to provide evoked response data for different sensory systems. The ongoing EEG and averaged response data are processed quantitatively and compared with previously stored normative data, describing brain states in patients free of head trauma, to calculate a set of Z-transformations. The Z-transormations define Z, the brain state vector (BSV), which may be visually displayed, for example, on a cathode ray tube 48. The length, direction and change of BSV overtime provide an evaluation of the anatomical location of any damage, the severity of functional impairment and the rate of improvement or deterioration of the patients's state in order to aid in selection and guidance of treatment.

    A HEARING SYSTEM FOR MONITORING A HEALTH RELATED PARAMETER
    96.
    发明公开
    A HEARING SYSTEM FOR MONITORING A HEALTH RELATED PARAMETER 无效
    监测健康相关参数的听觉系统

    公开(公告)号：EP3313092A1

    公开(公告)日：2018-04-25

    申请号：EP17161519.8

    申请日：2017-03-17

    申请人： Oticon A/S

    发明人： LAPLANTE-LÉVESQUE, Ariane ,  BJELOSEVIC, Adis

    IPC分类号： H04R25/00 ,  A61B5/04 ,  A61B5/00 ,  A61B5/1455 ,  H04R5/033

    CPC分类号： A61B5/686 ,  A61B5/0006 ,  A61B5/0022 ,  A61B5/01 ,  A61B5/0476 ,  A61B5/0478 ,  A61B5/0488 ,  A61B5/0496 ,  A61B5/05 ,  A61B5/0507 ,  A61B5/1107 ,  A61B5/1126 ,  A61B5/14542 ,  A61B5/14551 ,  A61B5/4076 ,  A61B5/4542 ,  A61B5/6803 ,  A61B5/6814 ,  A61B5/6816 ,  A61B5/7264 ,  A61B5/746 ,  A61B2505/07 ,  A61B2560/0223 ,  A61B2562/04 ,  G01N2800/2871 ,  H04R5/033 ,  H04R25/552 ,  H04R25/554 ,  H04R2225/51 ,  H04R2225/55 ,  H04R2225/67

    摘要： A binaural hearing system comprises a) left and right hearing devices, e.g. hearing aids, adapted for being worn at or in left and right ears, respectively, of a user, or for being fully or partially implanted in the head at the left and right ears, respectively, of the user, each of the left and right hearing devices comprising a1) a number Ns of different sensors Si (i=1, ..., Ns), each sensor being configured to monitor a physiological function of the user and providing respective left and right sensor signals ST i,left , ST i,right (i=1, ..., Ns), indicative of the state of the physiological function in question; a2) antenna and transceiver circuitry to provide that information signals, including said sensor signals can be exchanged between the left and right hearing devices and/or forwarded to an auxiliary device, b) a comparison unit for comparing said left and right sensor signals, and providing respective comparison signals CSI i (i=1, ..., Ns) for each of said physiological functions; and c) an analysis unit for analyzing said comparison signals and providing a concluding stroke indicator CSI regarding a risk of stroke of the user depending on said comparison signal(s). Thereby an improved functionality of a hearing system may be provided allowing an early warning of a stroke of a wearer of the hearing system.

    摘要翻译： 双耳听力系统包括a）左和右听力装置，例如， 助听器，分别适用于分别佩戴在使用者的左耳和右耳上或者分别佩戴在使用者的左耳和右耳上的头部中，左耳和右耳中的每一个 听力装置，其包括a1）数量为Ns个不同的传感器Si（i = 1，...，Ns），每个传感器被配置为监测用户的生理功能并提供相应的左侧和右侧传感器信号STi，左侧STi， 表示所述生理功能的状态的右（i = 1，...，Ns）; a2）天线和收发器电路，以提供包括所述传感器信号的信息信号可在左右听力设备之间交换和/或转发给辅助设备，b）比较单元，用于比较所述左右传感器信号，以及 为每个所述生理函数提供相应的比较信号CSIi（i = 1，...，Ns） 以及c）分析单元，用于分析所述比较信号并根据所述比较信号提供关于用户中风风险的结论笔划指示符CSI。 由此可以提供听力系统的改进的功能，从而允许对听力系统的佩戴者的中风的早期预警。

    SYSTEM AND METHOD FOR AUTOMATIC PREDICTION AND PREVENTION OF MIGRAINE AND/OR EPILEPSY
    98.
    发明公开
    SYSTEM AND METHOD FOR AUTOMATIC PREDICTION AND PREVENTION OF MIGRAINE AND/OR EPILEPSY 审中-公开
    用于自动预测和预防偏头痛和/或癫痫的系统和方法

    公开(公告)号：EP3277159A1

    公开(公告)日：2018-02-07

    申请号：EP16712815.6

    申请日：2016-03-24

    申请人： Koninklijke Philips N.V.

    发明人： WEFFERS-ALBU, Mirela Alina ,  VAN EE, Raymond

    IPC分类号： A61B5/00 ,  A61B5/0476

    CPC分类号： A61B5/0042 ,  A61B5/0006 ,  A61B5/0476 ,  A61B5/4076 ,  A61B5/6814 ,  A61B5/7246 ,  A61B5/7282 ,  A61B2562/0247 ,  A61B2562/0271 ,  A61B2562/029

    摘要： The present invention relates to the field of detecting/preventing migraine attacks. In particular, a system and method for detecting and preventing a migraine episode in a user are provided. The system comprises a brain activity sensor for detecting a brain activity signal; a migraine trigger detection unit for detecting potential migraine triggers, said potential migraine triggers being circumstances that may potentially cause a migraine attack in the user. A processing unit is configured to: process the brain activity signal to identify one or more signal characteristics in the brain activity signal that are indicative of an upcoming migraine attack in the user; identify one or more correlations between the one or more identified signal characteristics in the brain activity signal and the detected potential migraine triggers; determine, based on the identified one or more correlations, one or more personal migraine triggers that are likely to cause a migraine attack in the user; an output unit for providing the user with a personalized feedback which informs the user about the determined one or more personal migraine triggers and/or how the user may prevent the determined one or more personal migraine triggers.

    SYSTEMS AND METHODS FOR BRAIN ACTIVITY INTERPRETATION
    99.
    发明公开
    SYSTEMS AND METHODS FOR BRAIN ACTIVITY INTERPRETATION 审中-公开
    用于脑活动解释的系统和方法

    公开(公告)号：EP3258842A2

    公开(公告)日：2017-12-27

    申请号：EP16751988.3

    申请日：2016-02-16

    申请人： Intrator, Nathan

    发明人： Intrator, Nathan

    IPC分类号： A61B5/04

    CPC分类号： A61B5/4076 ,  A61B5/0022 ,  A61B5/0478 ,  A61B5/048 ,  A61B5/4088 ,  A61B5/4824 ,  A61B5/4848 ,  A61B5/7264

    摘要： The present invention provides a computer-implemented method, including: a. obtaining, in real-time, by a specifically programmed processor, electrical signal data representative of brain activity of a particular individual; b. processing, in real-time the electrical signal data representative of brain activity of a particular individual based upon a pre-determined predictor associated with a particular brain state, selected from a library of predictors containing a plurality of pre-determined predictors, wherein each individual pre-determined predictor is associated with a unique brain state, wherein the pre-determined predictor associated with a particular brain state includes: i. a pre-determined mother wavelet, ii. a pre-determined representative set of wavelet packet atoms, created from the pre-determined mother wavelet, iii. a pre-determined ordering of wavelet packet atoms, and iv. a pre-determined set of normalization factors, wherein the processing includes: i. causing, by the specifically programmed processor, the electrical signal data to be deconstructed into a plurality of pre-determined deconstructed wavelet packet atoms, utilizing the pre-determined representative set of wavelet packet atoms, wherein time windows of the electrical signal data are projected onto the pre-determined representative set of wavelet packet atoms  wherein the projection is via convolution or inner product, and wherein each pre-determined representative wavelet packet atom corresponds to a particular pre-determined brain activity feature from a library of a plurality of pre-determined brain activity features; ii. storing the plurality of pre-determined deconstructed wavelet packet atoms in at least one computer data object; iii. causing, by the specifically programmed processor, the stored plurality of pre-determined deconstructed wavelet packet atoms to be re-ordered within the computer data object, based on utilizing a pre-determined order; iv. obtaining a statistical measure of the activity of each of the re-ordered plurality of pre-determined deconstructed wavelet packet atoms; and v. normalizing the re-ordered plurality of pre-determined wavelet packet atoms, based on utilizing a pre-determined normalization factor; and c. outputting, a visual indication of at least one personalized mental state of the particular individual, at least one personalized neurological condition of the particular individual, or both, based on the processing, wherein the individual pre-determined predictor associated with a particular brain state from within the plurality of pre-determined predictors is generated by the steps including: i. obtaining the pre-determined representative set of wavelet packet atoms by: a. obtaining from a plurality of individuals, by the specifically programmed processor, at least one plurality of electrical signal data representative of a brain activity of a particular brain state; b. selecting a mother wavelet from a plurality of mother wavelets,  wherein mother wavelet is selected from an wavelet family selected from the group consisting of: Haar, Coiflet Daubehies, and Mayer wavelet families; c. causing, by the specifically programmed processor, the at least one plurality electrical signal data to be deconstructed into a plurality of wavelet packet atoms, using the selected mother wavelet; d. storing the plurality of wavelet packet atoms in at least one computer data object; e. determining, an optimal set of wavelet packet atoms using the pre-determined mother wavelet, and storing the optimal set of wavelet packet atoms in at least one computer data object,  wherein the determining is via utilizing analysis Best Basis algorithm; and f. applying, by the specifically programmed processor, wavelet denoising to the number of wavelet packet atoms in the optimal set; ii. obtaining the pre-determined ordering of wavelet packet atoms by: a. projecting, by the specifically programmed processor, the at least one plurality of electrical signal data representative of a brain activity for each 4 second window of the data onto the pre-determined representative set of wavelet packet atoms; b. storing the projections in at least one computer data object; c. determining, by the specifically programmed processor, the wire length for every data point in the projection by determining the mean absolute distance of the statistical measure of the projections of different channels from their adjacent channels; d. storing the wire length data in at least one computer data object; and e. re-ordering the stored projections, by the specifically programmed computer to minimize a statistical value of the wire length value across each time window, and across all individuals within the plurality of individuals, and across the projections; and iii. obtaining the pre-determined set of normalization factors by: a. determining, by the specifically programmed computer, the mean and standard deviation of the values of the stored projections.