KR101175282B1 - Portable diagnosis apparatus for dizziness - Google Patents

Abstract

PURPOSE: A portable dizziness diagnosis unit is provided to accurately diagnose dizziness using data obtained from an acceleration sensor and an electrocardiogram sensor. CONSTITUTION: An acceleration sensor(110) measures the acceleration of a human body at the attachment point on the human body. An electrocardiogram sensor(120) is attached to the human body and measures the electrocardiogram of the person. A microcontroller(130) creates monitoring information from the acceleration and electrocardiogram data. A memory unit(140) stores the monitoring information in real time. A communication unit(160) converts the monitoring information stored in the memory unit into the communication signal.

Description

Portable dizziness diagnosis device {PORTABLE DIAGNOSIS APPARATUS FOR DIZZINESS}

The present invention relates to a portable dizziness diagnosis device, and more particularly, to a portable dizziness diagnosis device for diagnosing chronic dizziness or dizziness occurring by accident in daily life.

The human body balance is regulated by three rotational sensors (semicircular canal) and two horizontal-vertical sensors (maculae) in the vestibular organ of the inner ear.

Specifically, the body balance signals continuously generated in the vestibular organs of both inner ear parts maintain eye movement (VOR, vestibulo-Ocular reflex) and muscle tension (VSR, vestibular-spinal reflex) through the brain stem. When an abnormality occurs in a series of vestibular ocular reflex (VOR) and vestibular spinal cord reflex (VSR), humans feel dizzy and have difficulty walking upright.

Therefore, a commonly used dizziness diagnostic apparatus is to check the two reflex paths, and to check the nystagmus, or eye tremors, for vestibular ocular reflex path inspection, and to observe it, Video nystagmus (VOG, videooculograph) is used. In addition, temperature or rotational stimuli may be used in horizontal rotation sensors to monitor evoked nystagmus.

On the other hand, there is a postural examination device that uses the distribution of the pressure applied to the EMG or the sole of the vestibular spinal reflex, but the diagnostic value is small and is often used to monitor the treatment results.

As such, all of the conventional diagnostic apparatuses visit the hospital and evaluate the equilibrium function through spontaneous nystagmus or induced nystagmus within a limited time, and can be diagnosed in acute or subacute patients. There are significant limitations for the diagnosis of dizziness that occurs by chance in chronic or daily life.

In other words, dizziness may occur intermittently or the frequency of dizziness may not cause dizziness at the time of treatment.In this case, information about the imbalance sensation felt by the patient cannot be obtained at all through the existing diagnostic apparatus. Even after treatment, it is impossible to objectively diagnose how much improvement has been achieved in daily life, or even limitedly in an artificial environment.

Therefore, in order to compensate for the limitations occurring in treating dizziness as described above, the walking pattern of the body may be recognized through a portable diagnostic apparatus, and whether or not the dizziness may be diagnosed by the walking pattern.

However, when diagnosing the occurrence of dizziness by observing only the walking pattern of the body, if a walking pattern similar to the walking pattern when the dizziness occurs occurs in the body, it may cause an error in diagnosing dizziness. .

The present invention is to solve the above-mentioned problems, and in addition to acquiring the gait pattern of the body in the daily life, that is, behavioral information through the acceleration sensor and at the same time to acquire the electrocardiogram, physiological information of the body through the ECG sensor, As described above, the present invention provides a portable dizziness diagnosis apparatus that can prevent misdiagnosis by accurately diagnosing the occurrence and extent of dizziness through the gait pattern and electrocardiogram data of the body appearing in daily life.

The technical object of the present invention is not limited to the above-mentioned technical objects and other technical objects which are not mentioned can be clearly understood by those skilled in the art from the following description will be.

Portable dizziness diagnostic device of the present invention for achieving the above object, at least one acceleration sensor is attached to the body of the subject, measuring the acceleration at the point of attachment of the body; An electrocardiogram sensor attached to the body and measuring an electrocardiogram of the subject; A microcontroller configured to generate monitoring information from the acceleration and the electrocardiogram data measured by the acceleration sensor and the electrocardiogram sensor; And a memory unit in which the monitoring information is stored in real time. It includes, characterized in that for determining the occurrence and degree of dizziness of the subject by analyzing the monitoring information stored in the memory unit.

Preferably, the monitoring information is characterized in that the acceleration and the electrocardiogram graph over time.

On the other hand, the switch unit for displaying the time when the subject dizziness occurs on the acceleration and ECG graph; . In such a case, it is possible to recognize exactly when the subject's dizziness occurs, so it is easy to diagnose whether dizziness occurs.

In addition, the communication unit for converting the monitoring information stored in the memory unit into a communication signal, and transmits the communication signal to the observer every predetermined period; . In such cases, the observer, or doctor, can quickly diagnose the dizziness of the subject.

According to the present invention, it is possible to easily diagnose dizziness that occurs frequently in daily life by carrying a dizziness diagnosis device, and accurately diagnose the diagnosis by using data obtained from not only an acceleration sensor but also an electrocardiogram sensor. It has the advantage of preventing.

In addition, remote diagnosis is possible by transmitting data obtained from the acceleration sensor and the ECG sensor to an observer, that is, a doctor, which is a national management system for chronic diseases such as Parkinson's disease such as senile dizziness, falls and abnormal gait. It is very suitable to be used as a diagnostic device.

1 is a block diagram showing a portable dizziness diagnosis apparatus according to an embodiment of the present invention.
Figure 2 is a schematic diagram showing a state in which the acceleration sensor and the ECG sensor attached to the body of the portable dizziness diagnostic apparatus according to an embodiment of the present invention.
3 is a graph showing an acceleration change with time measured by an acceleration sensor of a portable dizziness diagnosis apparatus according to an embodiment of the present invention.
Figure 4 is a graph showing the acceleration peak measured by the acceleration sensor of the portable dizziness diagnosis apparatus according to an embodiment of the present invention.
5 to 8 are graphs showing ECG changes with time measured by an ECG sensor of a portable dizziness diagnosis apparatus according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. The sizes and shapes of the components shown in the drawings may be exaggerated for clarity and convenience. In addition, terms defined in consideration of the configuration and operation of the present invention may be changed according to the intention or custom of the user, the operator. Definitions of these terms should be based on the content of this specification.

In addition, the spirit of the present invention is not limited to the embodiments presented and those skilled in the art who understand the spirit of the present invention can easily implement other embodiments within the scope of the same idea, but this also falls within the scope of the present invention. Of course.

1 is a block diagram illustrating a portable dizziness diagnosis apparatus according to an embodiment of the present invention, Figure 2 is an acceleration sensor 110 and the ECG sensor 120 of the portable dizziness diagnostic apparatus according to an embodiment of the present invention Schematic diagram showing the state attached to the. 1 and 2 will be described in detail the configuration and function of the present invention portable dizziness diagnosis device.

As shown in FIG. 1, the portable dizziness diagnosis apparatus includes an acceleration sensor 110, an electrocardiogram sensor 120, a microcontroller 130, a memory unit 140, a switch unit 150, a communication unit 160, and a power supply unit. And 170.

The acceleration sensor 110 is attached to the body of the subject, and measures the acceleration at the attachment point of the body. Referring to FIG. 2, the acceleration sensor 110 is attached to the head, the arms, the legs, and the waist of the subject, and measures the acceleration at the point of attachment when the subject walks. The body will acquire walking patterns such as postures and movement changes.

That is, if the observer's walking pattern acquired from the acceleration sensor 110 shows a different pattern from the usual, the observer determines that the subject has dizziness, the frequency and degree of dizziness, the body posture at the time of dizziness and The characteristics of the operation are analyzed and used for diagnosis.

As shown in FIG. 2, since dizziness occurs, changes in body posture or body motion such as movement of both arms and legs are asymmetrical to each other, the acceleration sensor 110 is the head of the subject, It is attached to both arms, legs and waist, but may be attached to other parts of the body according to the walking characteristics of the subject and the content of the present invention is not limited to the attachment position and quantity of the acceleration sensor 110.

On the other hand, when diagnosing dizziness using only the gait pattern of the subject in everyday life, that is, behavioral information, the gait pattern similar to the gait pattern when dizziness did not occur but dizziness actually occurred was measured. If it occurs in the dizziness can cause errors in the diagnosis of dizziness, physiological information, that is, using the electrocardiogram of the subject improves the accuracy of the diagnosis of dizziness.

That is, as shown in FIG. 2, the ECG sensor 120 is attached to the chest of the subject to measure the ECG of the subject. Here, although the arrhythmia is found as a result of the ECG measurement of the subject, it cannot be asserted as dizziness, but when dizziness occurs, the arrhythmias are often found simultaneously in the ECG, so the gait acquired by the acceleration sensor 110 is acquired. By using the ECG data of the subject together with the pattern, the observer can accurately diagnose the occurrence of dizziness.

Specifically, when the subject is dizzy, analyzing the ECG measured from the subject shows an instantaneous change in the RR interval information (the interval between the R waves in the QRS wave, which is a waveform representing the contraction of the ventricles), or further. Premature ventricular contraction (PVC) or cardiac failure may occur.

Therefore, the gait pattern of the subject acquired from the acceleration sensor 110 is abnormal and at the same time, the instantaneous change of RR interval information, premature ventricular contraction or heart failure in the ECG data of the subject acquired from the ECG sensor 120. If such a phenomenon occurs, the observer may determine that dizziness has occurred in the subject, and by analyzing the gait pattern and electrocardiogram of the subject at this time, the frequency and extent of dizziness, body posture and motion when dizziness occurs This feature can be used for diagnosis.

The microcontroller 130 receives the acceleration and electrocardiogram data measured by the acceleration sensor 110 and the electrocardiogram sensor 120 and generates monitoring information from the acceleration and electrocardiogram data. That is, the microcontroller 130 generates an acceleration and an electrocardiogram graph over time, and the observer may diagnose dizziness generated in the subject.

A method for diagnosing dizziness by the observer with reference to the acceleration and the electrocardiogram graph over time will be described in detail below.

The memory unit 140 stores, in real time, the monitoring information generated by the microcontroller 130, that is, the acceleration and the electrocardiogram graph over time, and the observer stores the acceleration and the electrocardiogram graph over time from the memory unit 140. The results are analyzed and diagnosed as to whether or not the dizziness of the subject.

The memory unit 140 may be provided as a secure digital (SD) memory card, an extreme digital (XD) memory card, or the like, or may be provided as a hard disk used in a general PC or a notebook.

The switch unit 150 allows the subject to display a time point at which dizziness occurs in the acceleration and the electrocardiogram graph. That is, when the subject feels dizzy, the time when the switch unit 150 is manipulated is displayed on the acceleration and electrocardiogram graph generated by the microcontroller 130 by manipulating the switch unit 150 by itself.

Therefore, the observer can use this as a diagnosis data of dizziness by comparing the acceleration and electrocardiogram data with the acceleration and electrocardiogram data at the time when the subject operated the switch unit 150.

The communication unit 160 converts the monitoring information stored in the memory unit 140, that is, the acceleration and the electrocardiogram graph over time, into a communication signal, and transmits the communication signal to the monitoring server 180 at predetermined intervals, and the observer. May acquire the acceleration and electrocardiogram data of the subject from the monitoring server 180.

For example, by connecting a communication device such as a smartphone, which the observer carries, to the monitoring server 180, the observer may receive the acceleration and the electrocardiogram data in real time through the smartphone and check the same. Therefore, the observer can quickly analyze the current state of the subject and use it to diagnose dizziness.

As described above, the observer may directly obtain the acceleration and the electrocardiogram of the subject by using a separate device capable of reading the monitoring information stored in the memory unit 140, but may be stored in the memory unit 140 at predetermined intervals. Since the monitoring information can be obtained by the communication unit 160, it is possible to diagnose dizziness even when the subject is far away, and further, when the subject is dizzy, it is possible to diagnose quickly.

On the other hand, when the user wants to reset the predetermined period for receiving the communication signal, the observer may input the period to be reset through the monitoring server 180. For example, when an observer inputs a period to reset a smartphone or the like, the smartphone connected to the monitoring server 180 transmits a newly set period to the monitoring server 180.

In this case, the communication unit 160 transmits a period received from the monitoring server 180 to the microcontroller 130, and the microcontroller 130 resets the monitoring information stored in the memory unit 140 at each reset period. Transmission to the communication unit 160.

Power required for operation of the acceleration sensor 110, the electrocardiogram sensor 120, the microcontroller 130, the memory unit 140, the communication unit 160, and the like is supplied from the power supply unit 170.

In addition, the microcontroller 130, the memory unit 140, the switch unit 150, the communication unit 160, and the power supply unit 170 are embedded in the terminal 190, and the terminal 190 is stored. By attaching to the waist etc. of a side, the dizziness diagnosis apparatus of this invention can be carried easily.

Hereinafter, a method of diagnosing the dizziness of the subject from the acceleration and the electrocardiogram graph according to the time will be described in detail with reference to FIGS. 3 to 8.

3 is a graph showing an acceleration change with time measured by an acceleration sensor 110 of the portable dizziness diagnosis apparatus, and FIG. 4 is a graph showing an acceleration peak measured by the acceleration sensor 110 of the portable dizziness diagnosis apparatus. 5 to 8 are graphs showing ECG changes over time measured by the ECG sensor 120 of the portable dizziness diagnosis apparatus.

Referring to (a) of FIG. 3, an acceleration change over time while a patient without dizziness, that is, a normal person attaches the acceleration sensor 110 to a leg and walks, has a constant pattern. Here, the arrow indicates a time point for walking by changing direction to the left or right while the subject walks.

However, referring to FIG. 3 (b), the acceleration change over time while the patient having dizziness, that is, the abnormal person attaches the acceleration sensor 110 to the leg and walks, is different from that of FIG. 3 (a). Almost no pattern appears.

Furthermore, referring to FIG. 4A, which shows acceleration peaks A and A ′ of acceleration changes of a subject measured in FIG. 3, in the case of a subject without dizziness, high frequency components appear in a walking cycle. On the other hand, referring to FIG. 4 (b), in the case of a subject having dizziness, high frequency components are not observed in the walking cycle.

Therefore, the observer does not have dizziness when the walking pattern of the subject is constant and the high frequency component is observed in the walking period by referring to the graph showing the acceleration change and the acceleration peak with time during the walking of the subject. You can judge that it is not.

On the other hand, if the gait pattern of the subject is not constant or high frequency components are not observed in the gait cycle, it is determined that the subject has dizziness and the frequency and degree of occurrence of the dizziness of the subject, and the physical posture and motion of the dizziness. Analyze the features and use them for diagnosis.

On the other hand, as described above, when diagnosing dizziness by referring to only the walking pattern of the subject in daily life, a walking pattern similar to the walking pattern when dizziness does not actually occur but dizziness occurs on the subject's body If this occurs, the diagnosis of dizziness may cause an error, and thus the accuracy of diagnosing dizziness is improved by using electrocardiogram data measured from the subject.

That is, when the subject operates the switch unit 150 at the moment of feeling dizziness, the point at which the user feels dizzy is displayed on the electrocardiogram graph generated by the microcontroller 130 (a point of time indicated by del in FIG. 5), and FIG. 5. As shown, some defects in the heart rate are observed in the QRS wave at the moment the subject feels dizzy. In addition, referring to the R-R interval information, when some defects in the subject's heartbeat are observed, the R-R interval information is rapidly reduced from 600 ms to 400 ms.

Therefore, the observer determines that arrhythmias occur at the moment when the subject with ECG change over time shown in FIG. 5 feels dizzy, and at the same time, the gait pattern of the subject measured from the acceleration sensor 110 is different from usual. If diarrhea is present, the subject is considered to have dizziness.

Meanwhile, referring to FIG. 6, the R-R interval information of the subject rapidly decreases from 600 ms to 400 ms. However, referring to an electrocardiogram change graph over time, the QRS waveform is relatively regular.

Therefore, the observer determines that the arrhythmia phenomenon that the subject with the ECG change over time shown in FIG. 6 feels dizziness does not occur, and at the same time, the walking pattern of the subject measured from the acceleration sensor 110 is usually Dizziness did not appear to be different even if the symptoms were different.

Referring to FIG. 7, the premature ventricular contraction (PVC) phenomenon in the arrhythmias (the QRS waveform is rapidly increased periodically in FIG. 7) is repeatedly observed from the moment when the subject feels dizzy. 600 ms when referring to the RR interval information. Is continuously reduced to 400ms.

Therefore, the observer determines that arrhythmias occur at the moment when the subject with ECG changes over time shown in FIG. 7 feels dizzy, and at the same time, the gait pattern of the subject measured from the acceleration sensor 110 is different from usual. If diarrhea is present, the subject is considered to have dizziness.

Referring to FIG. 8, an arrhythmia phenomenon (irregular QRS waveform is observed in FIG. 8) is observed from the moment when the subject feels dizzy, and referring to the R-R interval information, the phenomenon rapidly decreases from 900 ms to 400 ms.

Therefore, the observer determines that arrhythmias occur at the moment when the subject with the ECG change shown in FIG. 8 feels dizzy, and at the same time, the gait pattern of the subject measured from the acceleration sensor 110 is different from usual. If diarrhea is present, the subject is considered to have dizziness.

As described above, according to the present invention, even if arrhythmia is found as a result of electrocardiogram measurement of the subject, it cannot be asserted as dizziness. However, when dizziness occurs, the arrhythmias are often found at the ECG. By using the ECG data of the subject acquired by the ECG sensor 120 together with the walking pattern of the subject acquired by 110, the observer can accurately diagnose whether dizziness or the like occurs.

Although embodiments according to the present invention have been described above, these are merely exemplary, and it will be understood by those skilled in the art that various modifications and equivalent embodiments of the present invention are possible therefrom. Accordingly, the true scope of the present invention should be determined by the following claims.

110: acceleration sensor 120: electrocardiogram sensor
130: microcontroller 140: memory
150: switch unit 160: communication unit
170: power supply unit 180: monitoring server
190: terminal

Claims (4)

At least one acceleration sensor attached to a body of a subject and measuring acceleration at an attachment point of the body;
An electrocardiogram sensor attached to the body and measuring an electrocardiogram of the subject;
A microcontroller configured to generate monitoring information from the acceleration and the electrocardiogram data measured by the acceleration sensor and the electrocardiogram sensor; And
A memory unit in which the monitoring information is stored in real time; Including,
Analyze monitoring information including the acceleration and the electrocardiogram graph over time stored in the memory unit,
Portable dizziness diagnosis device, characterized in that for determining the occurrence and degree of dizziness of the subject according to the occurrence of high frequency components compared to the normal person in the acceleration graph. delete The method of claim 1,
A switch unit configured to display a time point at which the subject becomes dizzy on the acceleration and the electrocardiogram graph; Portable dizziness diagnostic device further comprising. The method of claim 1,
A communication unit which converts the monitoring information stored in the memory unit into a communication signal and transmits the communication signal to an observer every predetermined period; Portable dizziness diagnostic device further comprising.

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