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 a

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

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0070] Example 1

[0071] The multi-modal epilepsy diagnosis system based on video analysis of the first embodiment includes a network switch 1, a camera 2, a network hard disk recorder 3, a desktop computer 4, a multi-modal monitoring analysis module 5 and an EEG electroencephalogram inspection device 6; The camera 2 is used to collect the patient's video information and send the network switch 1; the network switch 1 is used to send the received video information to the network hard disk recorder 3 and the desktop computer 4; the network hard disk recorder 3 Used to record and store the received video information; the desktop computer 4 is used to store, manage, query and browse the received video information; the EEG EEG inspection device 6 is used to detect the EEG and send it to the office The multi-modal monitoring analysis module 5; the multi-modal monitoring analysis module 5 is used to monitor the onset of epilepsy and diagnose epilepsy; the multi-modal monitoring analys...

Example Embodiment

[0075] Example 2

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

[0077] The camera 2 includes a rotating disk 24, and a mounting frame 23 is sleeved on the outside of the rotating disk 24;

[0078] A round rod-shaped first transmission shaft 22 is screwed on the upper side of the rotating disk 24 along a direction perpendicular to the rotating disk 24, 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 mounting frame 23; a first motor driver is electrically connected to the first motor 21; an LED light 215 and a light intensity sensor are clamped on the lower side of the rotating disk 24 214 and battery 217;

[0079] A hemispherical outer cover 25 is screwed on 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; a second camera 213 is bolted to the inner wall of the outer cover 25 The second motor 26 is electri...

Example Embodiment

[0090] Example 3

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

[0092] The diagnosis method of the first embodiment is used in the multi-modal epilepsy diagnosis system based on video analysis and includes the steps:

[0093] Step 1: The EEG electroencephalogram examination equipment 6 sends the detected electroencephalogram to the multi-modal monitoring analysis module 5;

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

[0095] Step 3: The multi-modal monitoring analysis module 5 establishes a judgment model based on the EEG received from the EEG EEG examination device 6;

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

[0097] The establishment of a judgment model by the multi-modal monitoring analysis module 5 bas...

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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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