• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to a method that automatically analyzes EEG in real time, detects epileptic outbreaks and atypical, epilepsy-like outbreaks and triggers a trigger. The EEG (X) is filtered with two filters (1, 2) (low pass filter and high pass filter). After a rectification-equivalent function (3), the signal can be smoothed with an additional low-pass filter (4). Subsequently, the signal is amplified (5) and optionally added an adjustable offset (A). Either a manual threshold (D) or an automatically calculated threshold (C, 6) is applied to the threshold detection (7). This triggers a trigger signal (Y) when an amplitude threshold is exceeded.
    公开号:CH709839A2
    申请号:CH01003/14
    申请日:2014-07-02
    公开日:2016-01-15
    发明作者:Andreas Von Allmen；Heinz Krestel
    申请人:Andreas Von Allmen；
    IPC主号:
    专利说明:

    In neurology and epileptology (teaching of epilepsy) epileptic seizures are observed in the patient, as well as registered by a brain waveform (electroencephalogram, EEG). Typical epilepsy potentials in the EEG are proof that a seizure is of epileptic origin. Since the introduction of the EEG it has been a necessity to recognize potentials typical of epilepsy. This was initially done by an observer (doctor) per "eye". For a few decades, attempts have been made to automate the detection of epileptic or epilepsy-like outbreaks in the EEG, which are called processes (during a clinically visible seizure) or interictal epileptic activity (IEA, between clinically visible seizures).
    We have developed a novel, simple method to detect epileptic outbreaks and atypical epilepsy-like outbreaks in real time in the EEG. The detection triggers a trigger that can be used as an impulse for an external electrical device or to convert it into a biologically detectable signal (e.g. into a stimulus that is susceptible to humans: e.g. visual, auditory, tactile, gustatory).
    State of the art:
    The detection of epilepsy-typical potentials in groups "of the eye" is time-consuming. In our experience, the real-time detection from IEA takes over 1 second. Medical databases contain 5 papers on the automatic detection of potentials typical of epilepsy, isolated or in groups (= outbreak). This work uses different EEG recording methods (on the surface or intracranial) and cannot all recognize potentials typical of epilepsy in real time. If real-time detection is possible, this is usually in the range of seconds, i.e. too slow to trigger a trigger associated with the outbreak, to which living beings (e.g. patients) can react. In addition, none of the automatic algorithms is programmed to trigger a trigger after recognizing potentials typical of epilepsy (isolated or in groups).
    [0004] Various patented methods have also described automated detection of potentials typical of epilepsy or epileptic outbreaks. Mostly it was a question of potential recognition within epileptic outbreaks.
    The object of the present invention is to analyze the EEG automatically in real time, to recognize epileptic outbreaks and atypical epilepsy-like outbreaks in real time (for example in the millisecond range) and to trigger a trigger. The object is achieved by the features of patent claims 1-10.
    Embodiment:
    Table 1: exemplary embodiment. Exemplary calculated filter coefficients of the three digital IIR filters.
    For example, with Matlab calculated IIR filter coefficients of the 3 filters used (low pass filter, high pass filter and smoothing filter) with an order of two for implementation as a digital system, a denotes the filter coefficients of the feedback output signal and b the filter coefficients of the input signal.
    权利要求:
    Claims (10)
    [1]
    A method for detecting epileptic and atypical epileptic episodes, characterized in that the EEG raw signal is simplified by filter series leaving a frequency range which often corresponds to frequencies of epileptic outbreaks and atypical, epilepsy-like outbreaks. The modified EEG signal must exceed an amplitude threshold that can be set manually or automatically.
    [2]
    2. The method according to claim 1, characterized in that the filtering of the EEG raw signal and the crossing of the amplitude threshold leads to a voltage change, which can be used as a trigger output.
    [3]
    3. The method according to the claims 1-2, characterized in that the detection of epileptic and atypical epilepsy-like outbreaks and triggering of a trigger takes place in real time.
    [4]
    4. The method according to the claims 1-3, characterized in that the stringency of the outbreak detection in the software version can be easily adjusted by manually setting the amplitude threshold with the mouse on the monitor.
    [5]
    5. The method according to the claims 1-3, characterized in that the threshold for outbreak detection automatically with a position parameter that multiplies by a factor and to which an offset can be added, is calculated.
    [6]
    6. The method according to the claims 1-3, characterized in that the threshold for outbreak detection can be set mechanically, for example with a knob or a slider.
    [7]
    Method according to claims 1-6, characterized in that the filtered signal is processed before the threshold detection with a rectification equivalent function.
    [8]
    8. The method according to any one of the claims 1-7, characterized in that the implementation of filter and other signal processing steps in claim 8 digitally.
    [9]
    9. The method according to any one of the claims 1-7, characterized in that in the implementation of filter, and other signal processing steps, any part of the steps can be implemented analogously.
    [10]
    10. The method according to the claims 1-5, 7 and 8, characterized in that the invention can be implemented as a computer program on a computer with any operating system.
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    同族专利:
    公开号 | 公开日
    CH709839B1|2019-05-15|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    法律状态:
    2018-09-14| NV| New agent|Representative=s name: BOVARD AG PATENT- UND MARKENANWAELTE, CH |
    2018-11-30| PK| Correction|Free format text: BERICHTIGUNG INHABER |
    优先权:
    申请号 | 申请日 | 专利标题
    CH01003/14A|CH709839B1|2014-07-02|2014-07-02|A method for the automatic detection of epileptic and atypical epilepsy-like outbreaks in the EEG and for the triggering of a trigger in real time.|CH01003/14A| CH709839B1|2014-07-02|2014-07-02|A method for the automatic detection of epileptic and atypical epilepsy-like outbreaks in the EEG and for the triggering of a trigger in real time.|
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