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Wearable digital electroencephalogram monitoring helmet

A wearable, EEG technology, used in telemetry patient monitoring, diagnostic recording/measurement, medical science, etc., can solve the problems of no patient epileptiform discharge monitoring and alarm, low positive rate, etc., to achieve early warning of epileptic seizures and seizure alarms , improve the positive rate, and ensure the effect of their own safety

Pending Publication Date: 2018-02-23
FOURTH MILITARY MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the positive rate of epileptic seizures found by routine EEG is low. Similar products at home and abroad are mainly used to control external objects or adjust the wearer's emotions. There are no similar products for monitoring and alarming patients' epileptiform discharges.

Method used

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  • Wearable digital electroencephalogram monitoring helmet
  • Wearable digital electroencephalogram monitoring helmet
  • Wearable digital electroencephalogram monitoring helmet

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Such as figure 1 with figure 2 As shown, a wearable digital EEG monitoring helmet includes a collection electrode 1, which collects the user's EEG signal; a transmission system 2, which transmits the user's EEG signal; a helmet identification and alarm system 3, which analyzes the user's EEG signal. The user's EEG signal, identify suspicious signals and alarm; helmet shell 4, the inside of the helmet shell 4 is fixedly connected to the acquisition electrode 1, both sides of the helmet shell 4 are fixedly connected to the emission system 2, and the inside of the helmet shell 4 is fixedly connected to the identification and alarm system 3 of the helmet The monitoring terminal system receives the user's EEG signal and sends it to the terminal through wired or wireless, and displays the EEG signal in real time; the remote advanced EEG epileptiform discharge automatic analysis and identification and early warning system conducts quantitative analysis on the EEG signal And ...

Embodiment 2

[0025] Such as figure 2 with Figure 5 As shown, on the basis of Embodiment 1, the transmission system 2 includes an EEG amplification module, an analog / digital conversion module and a wireless transceiver module, and the EEG amplification filter module is connected to the analog / digital conversion module and the wireless transceiver module in turn, The analog / digital conversion module adopts the analog / digital converter ADS1298; the EEG amplification module amplifies the EEG signal collected by the acquisition electrode 1 to the A / D input voltage range, and the A / D conversion module converts the amplified EEG signal into digital Signal, the wireless transceiver module sends the digital signal to the monitoring terminal. The patient's EEG signal collected by the wearable EEG monitoring helmet is amplified to about 200-400mV through the preamplifier circuit, and then switched and strobed by the multi-way switch (switching frequency is 125Hz×20=2.5KHz). After the amplificatio...

Embodiment 3

[0029] On the basis of embodiment 2, the monitoring terminal system includes the patient's mobile phone APP monitoring terminal, the remote mobile phone APP EEG monitoring terminal and the remote EEG monitoring center computer terminal, and the wireless transceiver module sends digital signals to the patient's mobile phone APP monitoring terminal, The patient's mobile phone APP monitoring terminal sends the received digital signals to the remote mobile phone APP EEG monitoring terminal and the computer terminal of the remote EEG monitoring center; Raw EEG is analyzed, noise-reduced, suppressed, and an artificial neural network is used to analyze the peak distribution curve of the network output cross-identification. The patient's mobile phone APP monitoring terminal receives EEG signals based on the Bluetooth wireless transceiver module. After receiving the EEG signals, it sends them to the patient's family members and related medical staff's mobile phone APP terminals and the ...

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Abstract

The invention belongs to the technical field of medical apparatuses, and in particular relates to a wearable digital electroencephalogram monitoring helmet, which comprises acquisition electrodes, emitting systems, a helmet abnormal electroencephalogram recognition and alarm system, a helmet shell, a monitoring terminal system and a remote advanced electroencephalogram epileptiform discharge automatic analysis recognition and early warning system, wherein the acquisition electrodes are fixedly connected to the inner side of the helmet shell; the emitting systems are fixedly connected to two sides of the helmet shell; and the helmet recognition and alarm system is fixedly arranged in the helmet shell. The problem that effective protective and treatment measures cannot be adopted timely since it is low in rate of discovering the positive rate of epileptiform attack in a conventional electroencephalogram and monitoring and alarming effects for epileptiform of a patient are in lack can besolved; the helmet provided by the invention, on the basis of double early warning measures, namely simple alarming and remote advanced analysis recognition alarming, can timely and precisely discoveroncoming attack and in-attack of patient's epilepsy and can detect the positive rate of epileptiform discharge, so that preventing and alarming effects can be achieved, and subsequently effective protective and treatment measures can be adopted timely so as to protect patient's security.

Description

technical field [0001] The invention belongs to the technical field of medical devices, and in particular relates to a wearable digital brain-electricity monitoring helmet. Background technique [0002] Epilepsy is one of the most common neurological diseases and has been listed by the World Health Organization as one of the five major neuropsychiatric diseases that should be prevented and controlled globally. At present, about 50 million people in the world suffer from epilepsy, and there are more than 9 million patients in my country, and the number of new cases is increasing at a rate of 400,000 to 600,000 per year. Its morbidity rate is high, and it is difficult to cure, and many patients need to take medicine for life. EEG is the most intuitive and convenient routine inspection method to reflect brain electrical activity, and is the most important auxiliary means for diagnosing epileptic seizures and determining the type of seizures. At present, the positive rate of c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476
CPCA61B5/0006A61B5/4094A61B5/6803A61B5/746A61B5/369
Inventor 江文康晓刚杨方
Owner FOURTH MILITARY MEDICAL UNIVERSITY
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