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A method for automatic detection of epileptic spikes

An automatic detection and epilepsy technology, applied in applications, diagnostic recording/measurement, instruments, etc., can solve problems such as difficulty in EEG signal diversity samples, and achieve the effect of improving accuracy, good detection effect, and reducing false alarm rate.

Active Publication Date: 2019-07-02
杭州瑞尔唯康科技有限公司
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Problems solved by technology

The stability of existing algorithms has many limitations in actual use. For example, using the template matching method, a typical spike wave sample is selected as a template, and the detected waveform is compared with the template to determine whether it is a spike wave. The diversity of EEG signals brings great difficulties to the selection of samples

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  • A method for automatic detection of epileptic spikes
  • A method for automatic detection of epileptic spikes
  • A method for automatic detection of epileptic spikes

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Embodiment Construction

[0020] The present invention is described in detail below in conjunction with accompanying drawing. The spikes of EEG signals in the epileptic interval of 14 patients were detected, and the detection results of this method were compared with those based on the signal envelope distribution model (Signal Envelope Distribution Model, SEDM) method.

[0021] A method for automatic detection of epileptic spikes, referring to figure 1 , including the following steps:

[0022] Step 1. The average EEG acquisition time of 14 patients is 8 hours, and the signal sampling rate is 200Hz. The instrument used for data acquisition is the EEG-1100 EEG machine of NIHON KOHDEN Company, the sampling frequency is 200Hz, and the passband cut-off Frequency 0.5Hz to 60Hz, collected with 19 conductive electrodes, respectively Fp1, Fp2, F3, F4, C3, C4, P3, P4, O1, O2, F7, F8, T3, T4, T5, T6, Fz, Cz, Pz, A1, A2. The CZ on the top of the head is used as the reference electrode, and the electrode positi...

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Abstract

A method for automatic detection of epileptic spikes. MEMD extracts the components of spikes from the scalp EEG of epileptic patients. After calculating the signal envelope and dynamic threshold curve, it can locate the location of the spikes; The advantage of the present invention is that it can self-adaptively adjust the frequency band range according to the EEG, and accurately locate the location of the spikes in the interval between epileptic seizures; it provides a new idea for reducing the burden on clinicians to identify spikes with human eyes, and realizes the epileptic seizures. Through comparison, it is found that this method is superior to its method based on the signal envelope distribution model in terms of sensitivity and false alarm rate, and can have better spike detection results.

Description

technical field [0001] The invention relates to the field of signal detection, in particular to a method for automatic detection of epileptic interval spikes, which helps clinicians reduce workload and the like. Background technique [0002] Epilepsy is a sudden onset mental illness. The pathological cause of its clinical diagnosis is the sudden abnormal discharge of brain neurons, which is a chronic neurological disease of brain functional disorder. The pathogenesis of epilepsy is complex, the pathogenic factors are numerous, the scope of influence is wide, the degree of influence is severe, and it has very serious harm. However, there is still a lack of effective means for the treatment of epilepsy, so new methods are needed to study epilepsy. With the application of EEG signal analysis more and more widely, the analysis of EEG signal in epilepsy has become one of the important directions in the field of epilepsy research. EEG is a non-invasive tool for measuring the ele...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0476G06K9/00
CPCA61B5/4094A61B5/725A61B5/369G06V40/10
Inventor 王刚王栋闫相国程宝庆
Owner 杭州瑞尔唯康科技有限公司
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