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Multi-modal epilepsy diagnosis system and method based on video analysis

A technology for video analysis, diagnostic systems, used in diagnostics, diagnostic recording/measurement, character and pattern recognition, etc.

Active Publication Date: 2018-10-12
广州伊隆科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a multi-modal epilepsy diagnosis system and method based on video analysis to solve the problem that current monitoring and diagnosis equipment cannot monitor and diagnose patients in real time

Method used

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  • Multi-modal epilepsy diagnosis system and method based on video analysis
  • Multi-modal epilepsy diagnosis system and method based on video analysis
  • Multi-modal epilepsy diagnosis system and method based on video analysis

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] The multimodal epilepsy diagnosis system based on video analysis of the present embodiment 1 includes a network switch 1, a camera 2, a network hard disk video recorder 3, a desktop computer 4, a multimodal monitoring and analysis module 5 and an EEG electroencephalogram inspection device 6; Described camera 2 is used for gathering the video information of patient and sends described network switch 1; Described network switch 1 is used for sending the video information that receives to network hard disk video recorder 3 and desktop computer 4; Described network hard disk video recorder 3 For recording and storing the received video information; the desktop 4 is used for storing, managing, querying and browsing the received video information; the EEG electroencephalogram inspection device 6 is used for detecting the electroencephalogram and sending it to the Described multimodal monitoring and analyzing module 5; Described multimodal monitoring and analyzing module 5 is u...

Embodiment 2

[0076] Further, on the basis of embodiment 1:

[0077] The camera 2 includes a rotating disc 24, and a mounting frame 23 is sheathed on the outer side of the rotating disc 24;

[0078] Along the direction perpendicular to the rotating disk 24, a round rod-shaped first transmission shaft 22 is screwed on its upper side, and a first motor 21 is screwed on the upper end of the first transmission shaft 22. An ARM controller 216 is clamped on the upper side of the installation frame 23; a first motor driver is electrically connected to the first motor 21; an LED lamp 215 and a light intensity sensor are clamped on the lower side of the rotating disk 24. 214 and accumulator 217;

[0079] A hemispherical outer cover 25 is threadedly connected to the edge of the lower side of the rotating disk 24; a second camera 213 is pivotally connected to the inner wall of the outer cover 25; Two motors 26 are electrically connected with a second motor driver on the second motor 26; the end of t...

Embodiment 3

[0091] Further, on the basis of embodiment 2:

[0092] The diagnostic method of this embodiment 1 is used for the multimodal epilepsy diagnostic system based on video analysis, comprising steps:

[0093] Step 1: the EEG inspection device 6 sends the detected EEG to the multimodal monitoring and analysis module 5;

[0094] Step 2: The camera 2 captures patient video information and forwards the desktop 4 and the multimodal monitoring and analysis module 5 through the network switch 1;

[0095] Step 3: the multimodal monitoring and analysis module 5 establishes a judgment model according to the electroencephalogram received from the EEG electroencephalogram inspection device 6;

[0096] Step 4: The multimodal monitoring and analysis module 5 reconstructs and analyzes the video received from the camera 2 according to the judgment model, so as to diagnose the patient's condition.

[0097] The multimodal monitoring analysis module 5 establishes a judgment model according to the ele...

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Abstract

The invention discloses a multi-modal epilepsy diagnosis system based on video analysis. The system comprises a network switch, a camera, a network hard disk video recorder, a desktop computer and multi-modal monitoring analysis module and EEG (Electroencephalogram) checking equipment, wherein the multi-modal monitoring analysis module comprises a video analysis submodule, an EED analysis submodule and an intelligent management submodule; the video analysis submodule comprises an action detection unit and an action identification unit; the EEG analysis submodule comprises a feature extractionunit and a feature classification unit; and the intelligent management submodule comprises a video storage unit, an evidence taking unit and an alarm unit. The diagnosis method comprises the followingsteps that: the EEG checking equipment sends the detected EEG to the multi-modal monitoring analysis module; the camera shoots patient video information and sends the patient video information to thedesktop computer and multi-modal monitoring analysis module; the multi-modal monitoring analysis module establishes a judgment model and analyzes the video.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence computer vision, in particular to a video analysis-based multimodal epilepsy diagnosis system and method. Background technique [0002] Epilepsy is a neurological disorder, and epilepsy has become the second most common neurological disease in China. The traditional epilepsy detection adopts real-time contact method, which is complicated to operate and cannot be detected in real time; when a patient develops a disease, timely monitoring and early warning cannot be carried out, which affects the control of the disease and is inconvenient for medical staff to monitor; [0003] Due to the short duration of epileptic seizures, it is difficult to diagnose in clinical work, and it is difficult for clinicians to witness the seizure status of each patient. Remote video EEG monitoring can observe the seizure status and EEG changes in real time and is more accurate. Accurately achieve the d...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20G06K9/62A61B5/0476A61B5/11A61B5/00
CPCA61B5/1128A61B5/4094A61B5/316A61B5/369G06V40/20G06V10/141G06F18/24
Inventor 陈劲全田菁余卫宇林俊科
Owner 广州伊隆科技有限公司
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