CN109199413A - A kind of system using pupillometry PPI - Google Patents
A kind of system using pupillometry PPI Download PDFInfo
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- CN109199413A CN109199413A CN201811260268.3A CN201811260268A CN109199413A CN 109199413 A CN109199413 A CN 109199413A CN 201811260268 A CN201811260268 A CN 201811260268A CN 109199413 A CN109199413 A CN 109199413A
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- 210000001747 pupil Anatomy 0.000 claims abstract description 57
- 238000005259 measurement Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 18
- 230000000638 stimulation Effects 0.000 claims description 36
- 238000000926 separation method Methods 0.000 claims description 10
- 230000004936 stimulating effect Effects 0.000 claims description 7
- 230000002093 peripheral effect Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 6
- 201000000980 schizophrenia Diseases 0.000 description 10
- 238000007637 random forest analysis Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 3
- 230000005764 inhibitory process Effects 0.000 description 3
- 230000009151 sensory gating Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 241001465754 Metazoa Species 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 230000001684 chronic effect Effects 0.000 description 2
- 230000019771 cognition Effects 0.000 description 2
- 230000001149 cognitive effect Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000002790 cross-validation Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000003205 muscle Anatomy 0.000 description 2
- 230000006977 prepulse inhibition Effects 0.000 description 2
- 208000020016 psychiatric disease Diseases 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 206010010144 Completed suicide Diseases 0.000 description 1
- 208000028017 Psychotic disease Diseases 0.000 description 1
- 238000012550 audit Methods 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000004397 blinking Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000036278 prepulse Effects 0.000 description 1
- 230000011514 reflex Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
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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
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/163—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state by tracking eye movement, gaze, or pupil change
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Hospice & Palliative Care (AREA)
- Pathology (AREA)
- Developmental Disabilities (AREA)
- Psychiatry (AREA)
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- Child & Adolescent Psychology (AREA)
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- Heart & Thoracic Surgery (AREA)
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- Molecular Biology (AREA)
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Abstract
The invention discloses a kind of system using pupillometry PPI, which includes pupil size measurement device (1), doctor terminal equipment (2), the central processing unit (3) for analyzing data；The pupil size measurement device (1), doctor terminal equipment (2), the central processing unit (3) for analyzing data are sequentially connected.System of the invention measures a kind of method that PPI belongs to new measurement PPI in the way of measurement pupil size, and this method compares traditional myoelectricity method and has more stability.
Description
Technical field
The present invention relates to computer-aided medical diagnosis technical fields, are related to a kind of system using pupillometry PPI.
Background technique
Schizophrenia (Schizophrenia) is more common in person between twenty and fifty, and the onset age is mostly 15-45 years old, lifelong illness
Rate is 1% or so, is a kind of principal characteristic mental disease that chronic height is disabled, nearly half patient's labor capacity is lost, troublemaking and
Suicide autolesionism increases, and causes heavy burden for family and society.
Sensory gating (Sensory Gating, SG) is one of schizoid potential source biomolecule marker, main to reflect
The inhibition function of brain, specially individual is in the work environment to the filtration ability of indifferent stimulus.When schizophreniac feels
Feel door control mechanism there are when obstacle, will be unable to shielding indifferent stimulus, external environment and autostimulation information it is excessive pour in intracerebral,
And limited Cognitive Processing resource can not be concentrated on to target stimulation, normal cognitive process is influenced, cognition rupture and thinking are caused
Obstacle finally generates psychotic symptoms.
Sensory gating can be measured by prepulse inhibition (Prepulse Inhibition, PPI), and PPI is mainly with frightened
Reflection suppression ratio reflects.Frightened reflection (Startle Reflex) is that humans and animals cope with the defense of sudden strong stimulation instead
It answers, often shows as the rapid desufflation of muscle, there is positive effect in daily life, but its appearance also tends to cause instantly
The suspension of behavioral activity, and interfere the normal cognitive course of humans and animals.Door control mechanism can effectively inhibit frightened reflection, from
And guarantee being normally carried out for work.PPI be exactly before strong stimulation (frightened stimulation, i.e. interference information) 50-300ms apply one and do not draw
The weak stimulation (prepulse stimulation, i.e. target information) for playing frightened reflection, the inhibition of brain is reflected by the reduced degree of frightened reflection
Function.The key of PPI is perception of the individual to weak stimulation.
Traditional PPI level is measured by myoelectricity, and the inhibition situation of reflection is shied by the myoelectricity reflection of orbicular muscle of eye,
And blinking becomes noise pollution data for inevasible, this is one of bad reason of PPI stability.Therefore this application provides
A method of measurement PPI is more stable, is realized using the variation of pupil size.And construct one kind on this basis can
To assess whether person to be detected suffers from schizoid diagnostic system automatically.The system can clinically be widely applied.
Summary of the invention
The present invention provides a kind of system using pupillometry PPI, which has convenient, fast, accurately effect.
Specifically, the present invention provides a kind of systems using pupillometry PPI, and the system comprises pupil size surveys
Determine device 1, doctor terminal equipment 2, the central processing unit 3 for analyzing data.The pupil size measurement device 1, doctor are whole
End equipment 2 is sequentially connected for analyzing the central processing unit 3 of data.
Further, the doctor terminal equipment 2 includes login module 21, information acquisition module 22, information display module 23.
Further, the central processing unit 3 includes PPI computing module 31.
Further, the pupil size measurement device 1 is connect with the information acquisition module 22, and the PPI calculates mould
Block 31 is connect with the information acquisition module 22 and the information display module 23 respectively.
Further, the pupil size measurement device 1 is using the eye tracker for measuring pupil size.
Further, it is as follows to calculate the formula that PPI is used for the PPI computing module 31:
200ms pupil size is denoted as baseline S0 before stimulating；
Strong stimulation pupil size is denoted as S1, and weak+strong stimulation pupil size is denoted as S2；
It calculates pupil size and changes percentage PPI=(S1-S2)/(S1-S0) × 100%.
The workflow of mentioned-above system of the invention is as follows:
(1) system peripheral sets perceptual space separation normal form or perceptual space is overlapped normal form；
(2) it is measured using pupil size measurement device 1 tested under perceptual space separation normal form or perceptual space coincidence normal form
The pupil size of person；
(3) doctor terminal equipment 2 collects the pupil size value of measurement；
(4) the pupil size value being collected into is transmitted to central processing unit 3 by doctor terminal equipment 2；
(5) the PPI computing module in central processing unit 3 calculates PPI using following formula:
200ms pupil size is denoted as baseline S0 before stimulating；
Strong stimulation pupil size is denoted as S1, and weak+strong stimulation pupil size is denoted as S2；
It calculates pupil size and changes percentage PPI=(S1-S2)/(S1-S0) × 100%.
To those skilled in the art, it is this field that setting perceptual space, which separates normal form or perceptual space coincidence normal form,
Routine techniques.
Detailed description of the invention
Fig. 1 shows the structure chart of the system of the invention using pupillometry PPI；
Wherein, 1: pupil size measurement device；2: doctor terminal equipment；21: login module；22: information acquisition module；
23: information display module；3: central processing unit；31:PPI computing module；
Fig. 2 shows PPI normal form schematic diagram.
Specific embodiment
Below in conjunction with specific embodiment, the present invention is furture elucidated.It should be understood that these embodiments are merely to illustrate the present invention
Rather than it limits the scope of the invention.
The system that embodiment 1 utilizes pupillometry PPI
The system using pupillometry PPI of the present embodiment includes pupil size measurement device 1, doctor terminal equipment 2, uses
In the central processing unit 3 of analysis data.Pupil size measurement device 1, doctor terminal equipment 2, the centre for analyzing data
Reason device 3 is sequentially connected.
Doctor terminal equipment 2 includes login module 21, information acquisition module 22, information display module 23.
Central processing unit 3 includes PPI computing module 31.
Pupil size measurement device 1 is connect with information acquisition module 22, PPI computing module 31 respectively with information acquisition module
22 and information display module 23 connect.
Pupil size measurement device 1 is using the eye tracker for measuring pupil size.
It is as follows that PPI computing module 31 calculates the formula that PPI is used:
200ms pupil size is denoted as baseline S0 before stimulating；
Strong stimulation pupil size is denoted as S1, and weak+strong stimulation pupil size is denoted as S2；
It calculates pupil size and changes percentage PPI=(S1-S2)/(S1-S0) × 100%.
The workflow of the system of the invention using pupillometry PPI of embodiment 2
(1) system peripheral sets perceptual space separation normal form or perceptual space is overlapped normal form；
(2) it is measured using pupil size measurement device 1 tested under perceptual space separation normal form or perceptual space coincidence normal form
The pupil size of person；
(3) doctor terminal equipment 2 collects the pupil size value of measurement；
(4) the pupil size value being collected into is transmitted to central processing unit 3 by doctor terminal equipment 2；
(5) the PPI computing module in central processing unit 3 calculates PPI using following formula:
200ms pupil size is denoted as baseline S0 before stimulating；
Strong stimulation pupil size is denoted as S1, and weak+strong stimulation pupil size is denoted as S2；
It calculates pupil size and changes percentage PPI=(S1-S2)/(S1-S0) × 100%.
The schematic diagram for being overlapped normal form for perceptual space separation normal form of the invention or perceptual space is as shown in Figure 2.
Specifically it is provided that
(1) sound material: required sound material is all by using " randn () " in MATLAB function library to generate, sampling rate
For 48kHz.Generate length be 15s white noise as background noise.In addition the weak stimulating sound that length is 150ms white noise is generated
Sound and length are the strong stimulation sound of 40ms white noise.Voice signal is input to gloomy using sound card (Creative, SB X-FI)
Hai Saier monitoring headpone is presented to subject.Using sound pressure correction instrument (Larson Davis, AUDit and System 824) into
Row sound pressure correction.It is each sound design parameter: background sound: white noise below, is divided into L channel or the leading 3ms of right channel, continues
Time 15s, sound pressure level 60dB SPL；Weak stimulation: white noise is divided into L channel or right channel leading 3ms, duration 150ms,
Sound pressure level 65dB SPL；Strong stimulation: white noise, duration 40ms, 100dB SPL.When background sound and the weak leading sound channel of stimulation
When not identical, that is, perceptual space is caused to separate (Perceived Spatial Separation, PSS)；And when the leading sound of the two
It is then that perceptual space is overlapped (Perceived Spatial Co-location, PSC) when road is overlapped.
(2) test pattern
Entire test includes 4 district's groups (Block), and each district's groups include 27 and try time (Trial).Background in each district's groups
Noise L channel is leading or right channel is leading remains unchanged, and the leading left and right of sound channel is alternately between district's groups.Every group of stimulus sequence is such as
Under: the examination for first giving 2 only strong stimulations is secondary, and subject is allowed to adapt to test environment, this examination sub-value is not included in last statistics；Then it gives
(time interval is 120ms or 60ms between weak-strong stimulation, and weak stimulation L channel is leading or right for strong stimulation and weak+strong stimulation combination out
Sound channel is leading) each 5 examinations time, the time interval of each examination time is 10~20s not equal (average 15s), time (puppet) random presentation is tried,
Pupil size is recorded using eye tracker.
The effect detection of the system of the invention using pupillometry PPI of embodiment 3
1, research object
All subjects all pass through DSM-IV (The Diagnostic and Statistical Manual of Mental
Disorders) clinical fixed pattern interview (Structured Clinical Interview for DSM-IV, SCID) screening.Suffer from
Person's subject is to meet being hospitalized in attached Beijing Anding Hospital of the Capital University of Medical Sciences for inclusion criteria in December, 2015 in January, 2017
Starting non-medication schizophreniac (FE) and Patients with Chronic Schizophrenia (CS) each 35；Normal subject is and patient
Subject is matched in gender, the length of education enjoyed, IQ etc., meets healthy population (NC) totally 35 of inclusion criteria.Removing is mismatched
Subject (starting unused medicine patient organizes 3, chronic patients group 1) outside, collects subject 101 altogether.
The following index of research object is measured by the workflow of embodiment 2:
PSC120 (%): weak stimulation obtains when 120ms time interval between strong stimulation under perceptual space coincidence normal form
PPI。
PSS120 (%): it is obtained when time interval is 120ms between weak stimulation and strong stimulation under perceptual space separation normal form
PPI。
PSC60 (%): weak stimulation obtains when 60ms time interval between strong stimulation under perceptual space coincidence normal form
PPI。
PSS60 (%): it is obtained when time interval is 60ms between weak stimulation and strong stimulation under perceptual space separation normal form
PPI。
It is returned using Logistics and random forest (RF) algorithm models, and use 10 folding cross validation (10-fold
Cross Validation, 10-fold CV) draw ROC curve.The results show that PPI variable group model accuracy rate is up to
86.9%, AUC are up to 94.5%.
Classification of diseases model of the table 1 based on PPI
Note: the classifying quality of FE vs.CS:Differentiating CS from FE, FE and CS；FE vs.HC:
The classifying quality of Differentiating FE from HC, FE and HC；CS vs.HC:Differentiating CS from
The classifying quality of HC, CS and HC；Acc:Accuracy, accuracy rate；Sens:Sensitivity, susceptibility；Spec:
Specificity, specificity；AUC:Area Under the ROC curve, area under ROC curve；Logistics:
Logistics Regression Model, Logistics regression model；RF:Random Forest Model, random forest
Model
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that: not
A variety of change, modification, replacement and modification can be carried out to these embodiments in the case where being detached from the principle of the present invention and objective, this
The range of invention is defined by the claims and their equivalents.
Claims (7)
1. a kind of system using pupillometry PPI, which is characterized in that the system comprises pupil size measurement devices (1), doctor
Raw terminal device (2), the central processing unit (3) for analyzing data；The pupil size measurement device (1), doctor terminal are set
Standby (2), the central processing unit (3) for analyzing data are sequentially connected.
2. system according to claim 1, which is characterized in that the doctor terminal equipment (2) include login module (21),
Information acquisition module (22), information display module (23).
3. system according to claim 1 or 2, which is characterized in that the central processing unit (3) includes PPI computing module
(31)。
4. system according to claim 3, which is characterized in that the pupil size measurement device (1) is adopted with the information
Collect module (22) connection, the PPI computing module (31) shows with the information acquisition module (22) and the information respectively
Module (23) connection.
5. system described in any one of -4 according to claim 1, which is characterized in that the pupil size measurement device (1) is adopted
With the eye tracker of measurement pupil size.
6. system according to claim 3 or 4, which is characterized in that the PPI computing module (31) calculates what PPI was used
Formula is as follows:
200ms pupil size is denoted as baseline S0 before stimulating；
Strong stimulation pupil size is denoted as S1, and weak+strong stimulation pupil size is denoted as S2；
It calculates pupil size and changes percentage PPI=(S1-S2)/(S1-S0) × 100%.
7. system according to claim 1 to 6, which is characterized in that the work step of the system is as follows:
(1) system peripheral sets perceptual space separation normal form or perceptual space is overlapped normal form；
(2) perceptual space separation normal form is measured using pupil size measurement device 1 or perceptual space is overlapped subject under normal form
Pupil size；
(3) doctor terminal equipment 2 collects the pupil size value of measurement；
(4) the pupil size value being collected into is transmitted to central processing unit 3 by doctor terminal equipment 2；
(5) the PPI computing module in central processing unit 3 calculates PPI using following formula:
200ms pupil size is denoted as baseline S0 before stimulating；
Strong stimulation pupil size is denoted as S1, and weak+strong stimulation pupil size is denoted as S2；
It calculates pupil size and changes percentage PPI=(S1-S2)/(S1-S0) × 100%.
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| CN201811260268.3A CN109199413A (en) | 2018-10-26 | 2018-10-26 | A kind of system using pupillometry PPI |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112205989A (en) * | 2020-09-23 | 2021-01-12 | 北京大学 | Screening system for panic disorder patients |
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|---|---|---|---|---|
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| JP2008206830A (en) * | 2007-02-27 | 2008-09-11 | Tokyo Univ Of Science | Schizophrenia diagnosing apparatus and program |
| CN103857347A (en) * | 2011-08-09 | 2014-06-11 | 俄亥俄大学 | Pupillometric assessment of language comprehension |
| CN104739366A (en) * | 2015-03-14 | 2015-07-01 | 中国科学院苏州生物医学工程技术研究所 | Portable binocular pupil detection device |
| CN107007919A (en) * | 2017-04-11 | 2017-08-04 | 北京大学 | A kind of sense of hearing notes PPI regulating systems |
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2018
- 2018-10-26 CN CN201811260268.3A patent/CN109199413A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1871994A (en) * | 2006-06-29 | 2006-12-06 | 昆明钏泽智能系统有限公司 | Digital system for detecting dynamic change of bilateral eye pupils |
| JP2008206830A (en) * | 2007-02-27 | 2008-09-11 | Tokyo Univ Of Science | Schizophrenia diagnosing apparatus and program |
| CN103857347A (en) * | 2011-08-09 | 2014-06-11 | 俄亥俄大学 | Pupillometric assessment of language comprehension |
| CN104739366A (en) * | 2015-03-14 | 2015-07-01 | 中国科学院苏州生物医学工程技术研究所 | Portable binocular pupil detection device |
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| Title |
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| MICHELLE I.C. DE HAAN 等: "The influence of acoustic startle probes on fear learning in humans", SCIENTIFIC REPORTS * |
Cited By (2)
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|---|---|---|---|---|
| CN112205989A (en) * | 2020-09-23 | 2021-01-12 | 北京大学 | Screening system for panic disorder patients |
| CN112205989B (en) * | 2020-09-23 | 2022-04-01 | 北京大学 | Screening system for panic disorder patients |
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