KR20190120941A - Polygraph apparatus for evaluate a degree of disability and control method thereof - Google Patents

Abstract

The present invention relates to a polygraph device for detecting whether a muscle is intentionally moved when evaluating a disability grade. Specifically, the polygraph device for detecting that a patient does not intentionally move a body when evaluating the disability grade comprises: a sensor unit attached to a part of a body of a patient; and a control unit determining whether a patient intends to move an arm or a leg based on a sensing signal sensed through the sensor unit.

Description

POLYGRAPH APPARATUS FOR EVALUATE A DEGREE OF DISABILITY AND CONTROL METHOD THEREOF}

The present invention relates to a lie detection device and a control method thereof, and more particularly, to a lie detection device capable of detecting intentionally deceiving a degree of failure when examining a failure.

In countries, disability is rated and based on the extent to which the body's movements are not at will. Depending on the level of disability as determined by the screening of these countries, there are a large number of people who perform disability screening in an improper way as there are significant differences in the benefits offered in the country.

 For example, when performing a disability grading by lifting a knee below the examinee while sitting in a chair, a method of deliberately raising a leg to obtain a high disability grading is used.

 If the correct level of disability is not possible, there are serious problems that can affect the disability rating system itself, as well as damage other persons with disabilities who have been assigned in a legitimate manner.

 Accordingly, there is a need for a study on so-called lie detectors in disability screening, which can distinguish whether the screening inspector does not move intentionally or is not really moved by disability.

It is an object of the present invention to solve the above and other problems. Another aim is to provide a polygraph that can assist in the operation of a reliable disability grading system.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned above will be clearly understood by those skilled in the art from the following description. Could be.

According to an aspect of the present invention to achieve the above or another object, provides.

The effects of the lie detection device according to the present invention will be described below.

According to at least one of the embodiments of the present invention, there is an advantage that it is possible to detect the intentional deception of the degree of failure when evaluating the failure examination.

In addition, according to at least one of the embodiments of the present invention, there is an advantage that it is possible to more accurately determine the degree of failure to operate a reliable disability rating system.

Further scope of the applicability of the present invention will become apparent from the following detailed description. However, various changes and modifications within the spirit and scope of the present invention can be clearly understood by those skilled in the art, and therefore, specific embodiments, such as the detailed description and the preferred embodiments of the present invention, should be understood as given by way of example only.

1 is a block diagram of a lie detection device 1 according to an embodiment of the present invention.
2 and 3 are diagrams illustrating a state in which a lie detection device 1 is applied to a patient's body according to an embodiment of the present invention.
4 is a diagram showing an analysis control flowchart of the lie detection device 1 according to an embodiment of the present invention.
FIG. 5 is a view for explaining an electrode attachment position of an EEG measuring apparatus (ie, an EEG sensor) according to one embodiment of the present invention.
6 and 7 are diagrams illustrating a process of failure examination evaluation using the lie detection device 1 according to an embodiment of the present invention.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings, and the same or similar components are denoted by the same reference numerals regardless of the reference numerals, and redundant description thereof will be omitted. The suffixes "module" and "unit" for components used in the following description are given or used in consideration of ease of specification, and do not have distinct meanings or roles from each other. In addition, in describing the embodiments disclosed herein, when it is determined that the detailed description of the related known technology may obscure the gist of the embodiments disclosed herein, the detailed description thereof will be omitted. In addition, the accompanying drawings are intended to facilitate understanding of the embodiments disclosed herein, but are not limited to the technical spirit disclosed herein by the accompanying drawings, all changes included in the spirit and scope of the present invention. It should be understood to include equivalents and substitutes.

Terms including ordinal numbers such as first and second may be used to describe various components, but the components are not limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

When a component is referred to as being "connected" or "connected" to another component, it may be directly connected to or connected to that other component, but it may be understood that other components may be present in between. Should be. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it should be understood that there is no other component in between.

Singular expressions include plural expressions unless the context clearly indicates otherwise.

In this application, the terms "comprises" or "having" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings, and the same or similar components are denoted by the same reference numerals regardless of the reference numerals, and redundant description thereof will be omitted. The suffixes "module" and "unit" for components used in the following description are given or used in consideration of ease of specification, and do not have distinct meanings or roles from each other. In addition, in describing the embodiments disclosed herein, when it is determined that the detailed description of the related known technology may obscure the gist of the embodiments disclosed herein, the detailed description thereof will be omitted. In addition, the accompanying drawings are intended to facilitate understanding of the embodiments disclosed herein, but are not limited to the technical spirit disclosed herein by the accompanying drawings, all changes included in the spirit and scope of the present invention. It should be understood to include equivalents and substitutes.

Terms including ordinal numbers such as first and second may be used to describe various components, but the components are not limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

When a component is referred to as being "connected" or "connected" to another component, it may be directly connected to or connected to that other component, but it may be understood that other components may be present in between. Should be. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it should be understood that there is no other component in between.

Singular expressions include plural expressions unless the context clearly indicates otherwise.

In this application, the terms "comprises" or "having" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

As mentioned above, the State sets a rating for the disability and conducts a review of the rating based on the degree to which the body's movements are not at will. Depending on the level of disability as determined by the screening of these countries, there are a large number of people who perform disability screening in an improper way as there are significant differences in the benefits offered in the country.

 For example, when a reviewer (a person with a disability rating) performs a disability rating by lifting a knee down while sitting in a chair, the legs are not intentionally raised to obtain a higher disability rating. Use

 If the correct level of disability is not possible, there are serious problems that can affect the disability rating system itself, as well as damage other persons with disabilities who have been assigned in a legitimate manner.

 Accordingly, there is a need for a study on so-called lie detectors in disability screening, which can distinguish whether the screening inspector does not move intentionally or is not really moved by disability.

1 is a block diagram of a lie detection device 1 according to an embodiment of the present invention. 2 and 3 are diagrams showing a state in which a lie detection device 1 is applied to a patient's body according to an embodiment of the present invention.

The lie detection device 1 shown in Figs. 1 to 3 includes a sensor unit 30 which can be located at the examination subject. In FIG. 2, the sensor unit 30 is positioned (contacted) on a part of the skin (thigh) of the leg of the subject to be examined. However, the sensor unit 30 may be located in other parts of the body (for example, the part of the arm when examining the disorder of the arm) and may have a form adapted to the shape of a specific body part.

As shown in FIG. 1, the lie detection device 1 further comprises an operation unit 50 connected with the sensor unit 30 via a connection 18. In the example of FIG. 1, the connection 18 is a wire connection.

For example, the operation unit 50 comprises a housing. Inside the housing, a control unit 53 is provided which is connected to the optional user interface 56 and to the sensor unit 30 via a connection 18. The user interface 56 includes, for example, a display that forms an output interface for outputting information to the examinee of the lie detection device 1 and control buttons that form an input interface. For example, the person to be audited may provide input to the control unit 53, such as intended settings for the operation performed by the device, via the user interface 56.

In this example, the output interface allows for visual output of the data, but the data may alternatively or additionally be output by audio or other suitable method.

The controller 536 is connected to and / or has a memory 533 for storing data related to the response signals, as described below, for example.

The controller 536 may determine whether the patient intends to move an arm or a leg based on the sensing signal detected by the sensor unit 30. In other words, the patient's active participation in disability screening is confirmed.

The output unit 538 outputs whether or not there was a determined intention. In this case, the output unit 538 may be a sound output unit, and may output preset sound data when there is a desire to move the leg. Alternatively, the output unit 538 may be an optical output unit, and may output light when there is a desire to move the leg.

The sensor units 30 are, for example, bipolar EMG sensor electrodes 30-1 composed of electrode pads that form rectangular strips.

The bipolar electromyography (EMG) sensor electrode 30-1 can sense the characteristics of muscle tissue, and this characteristic forms a measure for the activity of the muscle tissue. Based on the sensing result of the bipolar electromyography (EMG) sensor electrode 30-1, it is determined whether the patient who is the subject of examination is actually willing to move his or her arm or leg. This is because when the brain sends a signal to move an actual arm or leg (if the doctor wants to move it), the EMG signal is measured in the muscle. However, the EMG signal will not be measured unless the muscles are intentionally moved in the disorder screening.

The sensor unit 30 has a sensor output, connected to the input of the signal processing unit 537 at the control unit 53. Through the sensor output, the sensor may provide a sensor signal to the signal processing unit 537. The signal processing unit 537 may determine a reference value for the activity from the sensor signal, that is, measure the signal sensed by the sensor and output the value to the controller 536 through the processor output.

Another example of the bipolar EMG sensor 30-1 may be provided in the form of a single sensor electrode.

In one embodiment of the present invention, the sensor unit 30 may further include an electroencephalogram (or electroencephalogram, EEG, Electroencephalogram) sensor 30-2.

Electroencephalogram (EEG) records the electrical activity of nerve cells in the cerebral cortex through an electrode attached to the scalp. EEG has a frequency of 1-50 Hz and an amplitude of about 10-200 μμV. In 1929, German physiologist Hans Berger ( It was first tried by Hans Berger. This electrical activity was later named EEG and showed that the EEG changes depending on the mental state of the experimenter.

Hereinafter, a Brain-Computer Interface (hereinafter referred to as BCI) will be described.

When humans think or act about something, synapses in the brain use neurotransmitters to convey information. At this time, a current is generated by a potential difference generated between neurons, and the electric current is measured through an electrode attached to the scalp, which is brainwaves or the above-described EEG signal. BCI technology uses these brain waves to deliver human thoughts and will directly to the system without language or other movements of the body.

BCI technology is of great significance for providing new means of communication to people who are unable to express and communicate their intentions due to physical defects or disabilities. It can be used in many applications, from instruments to games with new interfaces using brain waves, electronics for home automation, and learning aids.

In the present invention, the BCI technique is used to determine whether or not the patient (the subject to be examined) is falsely assessed.

While visually stimulating imagination of left or right hand movements, the subject's μμ rhythm region is characterized by weakened, blocked or inhibited activity, which is called event-related desynchronization (ERD). It occurs mainly at β locally in the μμ and β rhythm regions. ERS has a characteristic opposite to that of ERD and increases the amplitude of the EEG.

Short-Time Fourier Transform (STFT) is the simplest method for time-frequency analysis. It performs Fourier transform on the desired part in the short time domain and shows the frequency distribution with respect to the time axis. STFT can express the interpretation of the frequency domain and the time domain.

In the present invention, the EEG sensor 30-2 additionally detects the EEG in real time, and based on the detected EEG suggests to analyze whether the patient actively participates in the disability examination (hereinafter active participation) will be.

4 is a diagram showing an analysis control flowchart of the lie detection device 1 according to an embodiment of the present invention.

Referring to FIG. 4, the method for analyzing whether an active participant is in a disability examination according to an embodiment may include an EEG acquisition step S401, a filtering application step S402, and an STFT application step S403. In the user active participation analysis method according to an embodiment, each step may be performed by the user active participation analysis device, which will be described below.

First, in the brain wave acquisition step S401, the microprocessor 536 may acquire a raw EEG signal that is actually measured from an EEG sensor, specifically, an EEG measurement device (eg, an EPOC device of Emotiv). The microprocessor 536 may then perform preprocessing on the EEG data by removing noise from the acquired EEG data or amplifying the weak EEG data.

In this embodiment, 14-channel electrodes having a sampling rate of 128 SPS (2048 kHz) may be attached to a user according to a 10-20 electrode positioning method to obtain actual brain wave data of the user. More than necessary sampling rate may lead to oversizing of data to be processed, which may cause a problem of lowering processing speed and may cause a lot of restrictions in real time operation. Therefore, in the present embodiment, 128SPS, which is the minimum required sampling number for EEG analysis, is preferable, and the present invention is not limited thereto, and may be changed within a predetermined range (128 ±± ααSPS) as defined by the EEG.

5 is a view for explaining the electrode attachment position of the EEG measurement device (that is, EEG sensor) in an embodiment of the present invention. Electrode is attached to the user's brain to measure the EEG data, and the electrode attachment position for measuring the EEG is as shown in Figure 4 based on the international standard 10-20 electrode system of the 19 electrodes of the scalp (Fp1 , Fp2, F7, F8, F3, F4, Fz, T3, T4, C3, C4, Cz, T5, T6, P3, P4, Pz, O1, O2) and additionally two Fpz, Oz electrodes can be determined have.

In particular, the lie detection device 1 according to an embodiment of the present invention proposes to measure the brain waves associated with the exercise to keep the accuracy simple. In general, brain waves associated with movement of the body are produced by the frontal lobe. In other words, the part of the brain responsible for the movement is the frontal lobe. As such, signals related to disability screening, i.e., to move part of the body, may come from the frontal lobe of the brain.

To this end, an embodiment of the present invention proposes to measure only the F3 and F4 channels associated with the frontal lobe.

Not only does a large volume of devices need to be measured to measure all the EEGs measured from the 10-20 electrode system described above, but it is also difficult to connect multiple channel sensors to the patient's head. Therefore, the present invention intends to determine whether the patient lies or not (ie, actively participates in the examination) based on the EEG signals measured from the F3 and F4 channels.

Referring back to FIG. 4, in the filtering application step S402, the controller 536 may classify an 8-30 μs region, which is a mu rhythm region, from the acquired EEG data. In this case, the controller 536 may classify a required area by using a digital notch filter (DNF) or a band pass filter (BPF) to analyze whether the user is actively participating in the user. This is because the characteristics of motor sensation in EEG mainly occur in the frequency range of 8-30 Hz.

In the STFT application step S403, the controller 536 may perform a Fourier transform on the time domain in which the EEG data of the 8-30 kHz region is shortly divided.

That is, the controller 536 may input pre-processed EEG data into a predetermined algorithm to analyze whether the trainee is actively participating, and convert the EEG data into a frequency signal, and classify the EEG of the desired part according to the converted frequency region.

The control unit 536 according to an embodiment of the present invention may determine whether the screening is valid based on the brain waves in steps S401 to S403 (step S404).

In other words, if the patient concentrates to move his or her arms or legs for the examination, the EEG will be generated more strongly, and the EEG will be measured to confirm the validity of the examination.

If the patient concentrates (imagines) to actually try to move his or her arms or legs, the EEG activity increases. In this case, the index of EEG activity may be obtained as an average of EEG generated for a predetermined period, but may be obtained based on an event-related synchronization (ERS) calculated by Equation 1 below.

는 f_k　주파수에서의 r₀에서 r_0+m 시간의 평균 파워를 나타낸다.Where P represents power, j represents time, f _k represents frequency,

Represents the average power of r ₀ to r _{0 + m} time at the frequency f _k .

6 and 7 are diagrams illustrating a process of failure examination evaluation using the lie detection device 1 according to an embodiment of the present invention.

As shown in FIG. 6, the patient (the subject to be examined) proceeds with the disability examination while sitting in a chair. During the failure examination, the bipolar EMG sensor electrode 30-1 and the EEG sensor 30-2 may be attached to the patient as described above.

To assess leg failure, the evaluator may instruct the patient to stretch the leg.

As shown in FIG. 7, when the patient stretches the leg, it may be determined that there is no disorder. However, if the patient can not stretch the leg as shown in Figure 6, even if there is a doctor to extend the leg will not move or deliberately do not extend the leg to check whether you want to manipulate the examination results. Through the lie detection device 1 according to an embodiment of the present invention, based on the EMG signal measured from the leg of the patient and the EEG signal measured from the brain can accurately check whether the patient's active participation and output will be.

Although the embodiment of the lie detection device 1 according to the present invention has been described above, it is described as at least one embodiment, whereby the technical idea of the present invention and its configuration and operation are not limited. The scope of the technical idea of the invention is not limited / restricted by the drawings or the description with reference to the drawings. In addition, the concept and embodiment of the invention presented in the present invention may be used by those skilled in the art as a basis for modifying or designing to other structures for carrying out the same purpose of the present invention. The equivalent structure modified or changed by those skilled in the art to which the present invention pertains is to be bound by the technical scope of the present invention described in the claims, and the spirit or scope of the invention described in the claims. Various changes, substitutions and alterations are possible without departing from the scope of the invention.

Claims (20)

In the polygraph to detect that the patient does not intentionally move the body during the disability grading,
A sensor unit attached to a body part of the patient; And
And a controller configured to determine whether a patient intends to move an arm or a leg based on a sensing signal sensed through the sensor unit.
Polygraph device. The method of claim 1,
A part of the body is the head of the patient,
Polygraph detection device. In the second,
The sensor unit, characterized in that for detecting the EEG (electroencephalogram) signal detected in the head of the patient,
Polygraph detection device. The method of claim 1,
The sensor unit selectively detects only the EEG signal related to the movement of the body among the EEG signal,
Polygraph detection device. The method of claim 4, wherein
A part of the body is characterized in that the arm or leg of the patient,
Polygraph detection device. The method of claim 5,
The sensor unit, characterized in that for measuring the EMG (electromyograph) signal from the arm or leg of the patient,
Polygraph detection device. The method of claim 6,
The control unit, by combining the measured EMG and EEG signal, characterized in that it determines whether there is the intention,
Polygraph detection device. The method of claim 1,
Further comprising an output unit for outputting whether there was the determined intention,
Polygraph detection device. The method of claim 8,
The output unit is a sound output unit, characterized in that for outputting a predetermined sound data when the intention to move the leg,
Polygraph device. The method of claim 8,
The output unit is an optical output unit, characterized in that for outputting light when there is a will to move the leg,
Polygraph detection device.
In the control method of the lie detector for detecting that the patient does not intentionally move the body during the assessment of the disability rating,
Sensing a signal from the patient's body through a sensor unit attached to the body part of the patient; And
Determining whether the patient intends to move an arm or a leg based on a sensing signal sensed through the sensor unit.
Control method of polygraph. The method of claim 11,
A part of the body is the head of the patient,
Control method of polygraph. The method of claim 12,
The sensor unit, characterized in that for detecting the EEG (electroencephalogram) signal detected in the head of the patient,
Control method of polygraph. The method of claim 11,
The detecting may include selectively detecting only EEG signals related to movement of the body among the EEG signals.
Control method of polygraph. The method of claim 14,
A part of the body is characterized in that the arm or leg of the patient,
Control method of polygraph. The method of claim 15,
The sensing step is characterized by measuring an electromyograph (EMG) signal from the arm or leg of the patient,
Control method of polygraph. The method of claim 16,
The determining may include determining whether the doctor is present by combining the measured EMG and EEG signals.
Control method of polygraph. The method of claim 11,
And outputting whether the intention was made through an output unit.
Control method of polygraph. The method of claim 18,
The output unit is a sound output unit,
The outputting may include outputting predetermined sound data when there is a desire to move the leg.
Control method of polygraph. The method of claim 18,
The output unit is an optical output unit,
The outputting step is characterized in that for outputting light when there is a willingness to move the leg,
Control method of polygraph.

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