WO2021027235A1 - 一种幼儿弱视脑电客观检测仪 - Google Patents
一种幼儿弱视脑电客观检测仪 Download PDFInfo
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- WO2021027235A1 WO2021027235A1 PCT/CN2019/128994 CN2019128994W WO2021027235A1 WO 2021027235 A1 WO2021027235 A1 WO 2021027235A1 CN 2019128994 W CN2019128994 W CN 2019128994W WO 2021027235 A1 WO2021027235 A1 WO 2021027235A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/113—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining or recording eye movement
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/377—Electroencephalography [EEG] using evoked responses
- A61B5/378—Visual stimuli
Definitions
- the invention relates to the technical field of brain-computer interface and amblyopia detection in ophthalmological examinations, in particular to an EEG objective detector for children with amblyopia.
- amblyopia The developmental disorder of the visual nerve in young children leads to abnormalities in the visual system, leading to amblyopia.
- the global incidence of amblyopia is as high as 3%-5%, and its main symptom is that the corrected best vision is lower than normal.
- the factors that cause amblyopia include strabismus, refractive error, and form deprivation.
- Monocular abnormality and inhibition between the two eyes are two mechanisms of amblyopia.
- Monocular abnormality during development causes a decline in the ability of the amblyopic eye to compete for the visual path, and the visual function is mainly dominated by the contralateral eye.
- Recent studies have shown that binocular suppression in amblyopia prevents normal fusion and perception of the eyes. Therefore, amblyopia is an abnormality in the development of the optic nerve, which is manifested in limited visual function.
- the purpose of the present invention is to provide an EEG objective detector for children with amblyopia, which integrates visual evoked potential technology, virtual reality display technology, and eye tracker tracking technology. Starting from the cause, objective detection of amblyopia can be carried out. The operation is simple and fast, the applicability is strong, and the indicators are objective and quantitative.
- An EEG objective detector for children with amblyopia including a virtual reality glasses module 1, an eye tracker module 2, a wireless EEG acquisition platform module 3, and a data analysis and management system module 4.
- the virtual reality glasses module 1 realizes split-vision display of both eyes , Provides a means for the visual display of the stimulus pattern in the process of amblyopia detection; the eye tracker module 2 detects the eyeball direction of the child in the detection process in real time to ensure the effectiveness of the visual stimulation paradigm;
- the wireless EEG acquisition platform module 3 integrates data transmission and The EEG signal amplification chip realizes the collection and transmission of EEG data; the data analysis and management system module 4 analyzes EEG data, and its detection results are displayed in real time and shared with doctors and patients.
- the virtual reality glasses module 1 adopts the binocular split display technology of the virtual reality scene, so that the time frequency of the stimulation paradigm presented to the binocular is different, and the binocular difference is caused from the visual input, so as to facilitate the feature calibration in the EEG and further Analyze; at the same time, design a multi-color stimulation paradigm group.
- Earphones 14 are provided on both sides of the virtual reality glasses module 1 to realize the input of auditory information.
- the eye tracker module 2 is composed of a near-infrared light source 17 and two camera lenses 12.
- the near-infrared light source 17 produces a reflection image on the cornea and pupil of the user's eye, and then uses two image sensors to collect the eye and the reflection Images, using image processing algorithms and a three-dimensional eyeball model to accurately calculate the position of the eye in space and the position of the line of sight, tracking the eyeball position, and ensuring the effectiveness of stimulation.
- the near-infrared light source 17 and the two camera lenses 12 are respectively inserted into the near-infrared light source fixing groove 8 and the camera lens fixing groove 7 for fixing the virtual reality glasses module 1, so that the eye tracker module 2 and the virtual reality The reality glasses module 1 is integrated as a whole.
- the wireless EEG acquisition platform module 3 is composed of a wireless EEG helmet 19, an EEG signal amplifier 20, an EEG signal transmitter 18, a forehead electrode 15, a ground electrode 13, and an occipital lobe visual area EEG electrode 10;
- the EEG helmet cap 19 is connected to the virtual reality glasses module 1 through the connecting headband 9, which is adjustable in expansion and contraction, and the wireless EEG helmet cap 19 integrates six occipital lobe visual area EEG electrodes 10, occipital lobe visual area EEG
- the electrode 10 combines the forehead electrode 15 and the ground electrode 13 as a reference to collect EEG signals in real time.
- the EEG signal amplifier 20 is used for initial signal amplification, and then the EEG signal transmitter 18 transmits the EEG signals for data analysis and management.
- System module 4 is used for initial signal amplification, and then the EEG signal transmitter 18 transmits the EEG signals for data analysis and management.
- the size of the wireless EEG helmet 19 is designed according to the standard size of a 5-year-old child.
- the data analysis and management system module 4 is composed of an EEG signal receiver 5 and a data analysis and management system 6.
- the EEG signal receiver 5 communicates with the EEG signal transmitter 18 to receive EEG signals therefrom; data
- the analysis and management system 6 preprocesses the signal, extracts features, and classifies the signal to obtain objective detection results for amblyopia; then conducts unified classification management of patient information, EEG data, detection parameters, and amblyopia results, patient information and amblyopia results Share with patients.
- the present invention has the following beneficial effects:
- the present invention applies brain-computer interface technology, integrates virtual reality split-vision display technology, eye tracker tracking technology and database management technology, and can realize fast and non-destructive young children’s amblyopia EEG objective in a short time Quantitative testing provides a new method for early screening of children with amblyopia.
- Figure 1 is a schematic diagram of the structure of the present invention.
- Fig. 2 is an exploded view of the eye tracker module, virtual reality glasses module and wireless EEG acquisition platform module of the present invention.
- Fig. 3 is a schematic diagram of the binocular split display technology of a virtual reality scene.
- Figure 4 is a schematic diagram of a multi-color visual stimulation paradigm group.
- Figure 5 is a rear side view of the wireless EEG acquisition platform module.
- an EEG objective detector for children with amblyopia includes a virtual reality glasses module 1, an eye tracker module 2, a wireless EEG acquisition platform module 3, a data analysis and management system module 4, and a virtual reality glasses module 1.
- a virtual reality glasses module 1 Realize the split display of both eyes, which provides a means for the split display of stimulus patterns in the process of amblyopia detection; for the children's hyperactive and inattentive characteristics, the eye tracker module 2 detects the eyeball direction of the children in real time during the detection process to ensure The effectiveness of the visual stimulation paradigm;
- the wireless EEG acquisition platform module 3 is easy to operate, integrates data transmission and EEG signal acquisition functions to realize EEG data collection and transmission;
- Data analysis and management system module 4 performs EEG data analysis, Its detection is displayed in real time and shared with doctors and patients.
- the virtual reality glasses module 1 starts from the root cause that amblyopia occurs in one eye and the development of the two eyes is not coordinated, and uses the binocular split display technology of the virtual reality scene to make the stimulus paradigm presented in both eyes 16
- the time frequency is different, and the visual input is caused by the difference between the eyes, which is convenient for feature calibration and analysis in the EEG;
- a multi-color stimulation paradigm set is designed for easy use Visual stimuli induce EEG signals;
- the earphones 14 located on both sides of the virtual reality glasses module 1 realize the input of auditory information, making the detection process more immersive and fun;
- the master switch 11 is located in the virtual reality glasses module 1Right side.
- the eye tracker module 2 is composed of a near-infrared light source 17 and two camera lenses 12.
- the near-infrared light source 17 and the two camera lenses 12 are respectively inserted into the virtual reality glasses module 1 for
- the near-infrared light source fixing groove 8 and the camera lens fixing groove 7 are fixed, so that the eye tracker module 2 and the virtual reality glasses module 1 are integrated as a whole, which is convenient for operation;
- the near-infrared light source 17 makes the cornea and pupil of the user's eye
- the reflected image is produced, and two camera lenses 12 are used to collect the images of the eyes and the reflection;
- the image processing algorithm and a three-dimensional eyeball model are used to accurately calculate the position of the eye in space and the position of the line of sight, and track the eyeball position to ensure effective stimulation Sex.
- the wireless EEG acquisition platform module 3 consists of a wireless EEG helmet cap 19, an EEG signal amplifier 20, an EEG signal transmitter 18, a forehead electrode 15, a ground electrode 13, and a pillow
- the size of the wireless EEG helmet cap 19 is designed according to the standard size of 5-year-old children. It is connected to the virtual reality glasses module 1 through the connection headband 9, which can be stretched and adjusted, and can fit differently.
- the wireless EEG helmet cap 19 can not only play a fixed role, but also integrates six occipital visual area EEG electrodes 10 (POz, PO3, Po4, Oz, O1 and O2), the EEG electrode 10 in the occipital visual area combines the forehead electrode 15 (Fpz) and the ground electrode 13 (A1, A2) as a reference to collect the EEG signal in real time, and perform the initial amplification of the signal through the EEG signal amplifier 20 After processing, the EEG signal transmitter 18 transmits the EEG signal to the data analysis and management system module 4.
- EEG electrodes 10 POz, PO3, Po4, Oz, O1 and O2
- the data analysis and management system module 4 is composed of an EEG signal receiver 5 and a data analysis and management system 6.
- the EEG signal receiver 5 communicates with the EEG signal transmitter 18 and receives
- the data analysis and management system 6 preprocesses the signals, extracts features, and classifies the signals to obtain objective detection results of amblyopia; then conducts unified classification management on patient information, EEG data, detection parameters, and amblyopia results , Patient information and amblyopia results are shared with patients.
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Abstract
Description
Claims (8)
- 一种幼儿弱视脑电客观检测仪,其特征在于:包括虚拟现实眼镜模块(1)、眼动仪模块(2)、无线脑电采集平台模块(3)和数据分析与管理系统模块(4),虚拟现实眼镜模块(1)实现双眼的分视显示,为弱视检测过程中的刺激图案分视显示提供了手段;眼动仪模块(2)实时检测幼儿检测过程中的眼球方向,保证视觉刺激范式的有效性;无线脑电采集平台模块(3)集成数据传输与脑电信号放大芯片,实现脑电数据的采集与传输;数据分析与管理系统模块(4)进行脑电数据的分析,其检测结果实时显示与并与医生和患者共享。
- 根据权利要求1所述的一种幼儿弱视脑电客观检测仪,其特征在于:所述的虚拟现实眼镜模块(1)采用虚拟现实场景的双眼分视显示技术,使得呈现于双眼的刺激范式的时间频率不同,从视觉输入上造成双眼差异,以便于在脑电中进行特征标定与进一步分析;同时,设计多种颜色的刺激范式组。
- 根据权利要求1所述的一种幼儿弱视脑电客观检测仪,其特征在于:所述的虚拟现实眼镜模块(1)两侧设有耳机(14),实现听觉信息的输入。
- 根据权利要求1所述的一种幼儿弱视脑电客观检测仪,其特征在于:所述的眼动仪模块(2)由一个近红外光源(17)与两个摄像镜头(12)组成,近红外光源(17)使用户眼睛的角膜和瞳孔上产成反射图像,然后使用两个图像传感器采集眼睛与反射的图像,使用图像处理算法和一个三维眼球模型精确地计算出眼睛在空间中的位置和视线位置,跟踪眼球位置,保证刺激的有效性。
- 根据权利要求4所述的一种幼儿弱视脑电客观检测仪,其特征在于:所述的近红外光源(17)、两个摄像镜头(12)分别插入虚拟现实眼镜模块(1)中的近红外光源固定凹槽(8)、摄像镜头固定凹槽(7)内,使得眼动仪模块(2) 与虚拟现实眼镜模块(1)结合为一个整体。
- 根据权利要求1所述的一种幼儿弱视脑电客观检测仪,其特征在于:所述的无线脑电采集平台模块(3)由无线脑电头盔帽(19)、脑电信号放大器(20)、脑电信号发射器(18)、前额电极(15)、接地电极(13)、枕叶视觉区脑电电极(10)组成;无线脑电头盔帽(19)与虚拟现实眼镜模块(1)通过连接头带(9)相连,连接头带(9)伸缩可调,无线脑电头盔帽(19)集成六个枕叶视觉区脑电电极(10),枕叶视觉区脑电电极(10)结合作为参考的前额电极(15)与接地电极(13),实时采集脑电信号,通过脑电信号放大器(20)进行信号的初始放大处理,再由脑电信号发射器(18)传输脑电信号于数据分析与管理系统模块(4)。
- 根据权利要求6所述的一种幼儿弱视脑电客观检测仪,其特征在于:所述的无线脑电头盔帽(19)尺寸根据5岁幼儿标准尺寸设计。
- 根据权利要求1所述的一种幼儿弱视脑电客观检测仪,其特征在于:所述的数据分析与管理系统模块(4)由脑电信号接收器(5)、数据分析与管理系统(6)组成;脑电信号接收器(5)与脑电信号发射器(18)通讯,接收来自其的脑电信号;数据分析与管理系统(6)对信号进行预处理、特征提取并进行分类,得出弱视客观检测结果;再对患者信息、脑电数据、检测参数和弱视结果信息进行统一分类管理,患者信息和弱视结果与患者共享。
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110547760A (zh) * | 2019-08-09 | 2019-12-10 | 西安交通大学 | 一种幼儿弱视脑电客观检测仪 |
| CN111820865B (zh) * | 2020-07-24 | 2024-05-17 | 安徽猫头鹰科技有限公司 | 一种眼部视觉数据采集在线监控系统 |
| CN111920411A (zh) * | 2020-09-08 | 2020-11-13 | 司法鉴定科学研究院 | 视力客观评定和/或视觉诱发电位的检测方法及系统 |
| CN112842261B (zh) * | 2020-12-30 | 2021-12-28 | 西安交通大学 | 一种基于复杂网络的婴儿三维自发运动智能化评估系统 |
| CN113576497B (zh) * | 2021-08-30 | 2023-09-08 | 清华大学深圳国际研究生院 | 一种面向双眼竞争的视觉稳态诱发电位检测系统 |
| CN114190879B (zh) * | 2021-12-17 | 2025-08-08 | 开封大学 | 基于虚拟现实技术的弱视儿童视功能检测系统 |
| CN116407084A (zh) * | 2021-12-29 | 2023-07-11 | 中国科学院深圳先进技术研究院 | 一种多维度信号控制系统和方法 |
| CN116098638A (zh) * | 2023-03-31 | 2023-05-12 | 杭州电子科技大学 | 一种具有电极自贴合功能的脑电采集眼镜装置 |
| CN116687337A (zh) * | 2023-07-05 | 2023-09-05 | 杭州集视智能科技有限公司 | 基于扩展现实技术客观量化人群双眼间抑制程度的方法 |
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