Dysphagia diagnosis apparatus using voice analysis and method thereof

Abstract

The present invention relates to a dysphagia diagnosis apparatus comprising: an input unit for receiving voice information of a patient; a memory unit for storing data required for analyzing dysphagia; a display unit for displaying information; a speaker unit for outputting an acoustic signal; and an analysis unit for extracting a first acoustic component including a predetermined parameter by receiving, through the input unit, voice information of the patient before drinking water, extracting a second acoustic component including a predetermined parameter by receiving, through the input unit, voice information of the patient after drinking water, performing voice analysis by comparing the first acoustic component and the second acoustic component, diagnosing the presence of dysphagia according to the result of the voice analysis, displaying dysphagia diagnosis result information on the display unit, and performing control such that the speaker unit outputs the dysphagia diagnosis result information as a voice. According to the present invention, dysphagia can be diagnosed simply, safely, and quickly by diagnosing the presence of the dysphagia by using voice information.

Description

Device and method for diagnosing swallowing disorders using voice analysis

[0001] The present invention relates to a swallowing disorder diagnosis technique, and more particularly, to a swallowing disorder diagnosis technique using voice analysis.

[0002] Dysphagia is a general term for difficulties that occur during the process of eating food, and occurs in patients with stroke, degenerative diseases of the central and peripheral nerves, traumatic brain disease, head and neck tumors, and muscle diseases.

[0003] Swallowing difficulties are reported in as few as 29% and as many as 64% of stroke patients, and in Parkinson's patients, the rate is reported to be as high as 81%. Furthermore, even in cases where dysphagia is not directly caused by a disease, the patient's overall cognitive and physical condition, or external factors such as intubation or tracheostomy procedures, can cause dysphagia, making it difficult to swallow food properly. While the severity of dysphagia varies depending on the disease and underlying cause, dysphagia can lead to aspiration, pneumonia, dehydration, malnutrition, and ultimately, death.

[0004] Dysphagia is composed of an oral stage where food is put into the mouth, chewed, mixed with saliva to form a bolus, and pushed into the pharynx; a pharyngeal stage where food enters the pharynx and reaches the beginning of the esophagus through a series of precisely coordinated movements of various internal pharyngeal structures, such as soft palate elevation, hyo-laryngeal excursion, pharyngeal peristalsis, and relaxation of the upper esophageal sphincter; and finally, an inflow stage where food enters the esophagus through relaxation of the upper esophageal sphincter.

[0005] Among these, the oral stage is a stage that can be observed with the naked eye, so a relatively accurate evaluation is possible without special equipment. However, in the case of the pharyngeal stage, there is only a slight movement of the throat that can be seen and felt during swallowing, so special examination equipment is required to confirm the exact structure or function.

[0006] Representative methods for assessing swallowing disorders include videofluoroscopic examination of swallowing study (VFSS) and fiberoptic endoscopic evaluation of swallowing (FEES).

[0007] Video fluoroscopic swallowing is a method to evaluate the movement and structure of the oral cavity, pharynx, and esophagus, as well as the movement of a food bolus, by drinking a contrast medium under X-ray fluoroscopy. Endoscopic swallowing is a method to observe anatomical abnormalities and functional abnormalities in each area during speech and swallowing by inserting a portable endoscope through the nose.

[0008] Endoscopic swallowing studies are effective for observing the oral and pharyngeal areas, but they lack the ability to directly observe aspiration and penetration during swallowing. Videofluoroscopic swallowing studies, while offering the advantage of qualitatively assessing the degree of swallowing disorders, require radiation exposure due to the use of fluoroscopy equipment, require patient transportation to the examination site, limit accessibility due to the requirement for sitting, limit indications for the examination, and pose safety concerns due to aspiration during the examination.

[0009] In addition, the conventional method for assessing swallowing disorders, such as the water-based vocalization method, has the problem of significantly reduced reliability considering that it is a subjective judgment based on the evaluator's hearing and asymptomatic aspiration is commonly observed in patients.

[0010] In addition, there are video fluoroscopic swallowing tests and endoscopic tests for diagnosis, but there are problems in that they cause inconvenience to patients due to the limited cost and accessibility of the equipment, and the evaluation is based on the subjective judgment of the evaluator.

[0011] Although the terms "speech" and "language" are similar, they are used distinctly in neurolinguistics. Specifically, speech refers to the production of meaningful sounds through neural activity, while language involves the process of encoding specific concepts according to certain rules, embodying individual thoughts and emotions or understanding the intentions of others.

[0012] The process of producing speech sounds occurs when air from the lungs through respiration passes through the vocal cords in the larynx, causing them to vibrate. This process is called phonation, and these sounds are amplified and resonate as they pass through the pharynx. The resonated sounds then pass through the oral and nasal cavities. When the movements of the soft palate, tongue, and lips—the organs of articulation—are altered, various consonants and vowels are created. When intonation is added to the continuous production of these consonant and vowel sounds, prosody is formed. Therefore, if any of the above speech subsystems (respiration, phonation, resonance, articulation, prosody) are disrupted, problems with pronunciation and articulation arise, which is called a speech disorder. Therefore, speech disorders can be caused not only by damage to the central nervous system related to speech movement, but also by damage to the peripheral nerves that control the organs where speech is produced (e.g., vocal cords, tongue).

[0013] The present invention has been devised to solve the above problems, and its purpose is to provide a device and method capable of diagnosing swallowing disorders using voice analysis.

[0014] The purpose of the present invention is not limited to the purposes mentioned above, and other purposes not mentioned will be clearly understood by those skilled in the art from the description below.

[0015] In order to achieve the above object, the present invention relates to a swallowing disorder diagnosis device, comprising: an input unit for receiving voice information from a patient, a memory unit for storing data necessary for analyzing swallowing disorder, a display unit for displaying information, a speaker unit for outputting an acoustic signal, and an analysis unit for receiving voice information from a patient before drinking water through the input unit and extracting a first acoustic component including a predetermined parameter, receiving voice information from a patient after drinking water through the input unit and extracting a second acoustic component including a predetermined parameter, performing voice analysis by comparing the first acoustic component and the second acoustic component, diagnosing whether or not there is a swallowing disorder based on the voice analysis result, and controlling the display unit to display swallowing disorder diagnosis result information and the speaker unit to output it as a voice.

[0016] The above analysis unit can extract a first acoustic component including phonation, resonance, and respiration parameters, and can extract a second acoustic component including phonation, resonance, and respiration parameters.

[0017] The above analysis unit can perform voice analysis by comparing each parameter with respect to the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component, and analyzing the amount of change.

[0018] The above analysis unit can perform statistical analysis and verification on the amount of change in each parameter and use only the meaningful data.

[0019] In a method for diagnosing swallowing disorders in a swallowing disorder diagnosis device using voice information of the present invention, the method comprises: a step of extracting a first acoustic component including a predetermined parameter from the input voice information input by an analysis unit when voice information of a patient before drinking water is input by an input unit; a step of extracting a second acoustic component including a predetermined parameter from the input voice information input by the analysis unit when voice information of a patient after drinking water is input by the input unit; a step of performing voice analysis by comparing the first acoustic component and the second acoustic component in the analysis unit; and a step of diagnosing whether or not a swallowing disorder exists based on the voice analysis result in the analysis unit.

[0020] The above analysis unit can extract a first acoustic component including phonation, resonance, and respiration parameters, and extract a second acoustic component including phonation, resonance, and respiration parameters.

[0021] The above analysis unit can perform voice analysis by comparing each parameter with respect to the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component, and analyzing the amount of change.

[0022] The above analysis unit can perform statistical analysis and verification on the amount of change in each parameter and use only the meaningful data.

[0023] According to the present invention, by diagnosing swallowing disorder using voice information, there is an effect of being able to diagnose swallowing disorder simply, safely, and quickly.

[0024] In addition, according to the present invention, by first diagnosing a swallowing disorder and then performing a more in-depth and specialized diagnostic test such as a videofluoroscopic examination of swallowing study (VFSS) or an endoscopic evaluation of swallowing (FEES), based on the results, there is an effect of reducing the cost of the test and the burden on the patient.

[0025] FIG. 1 is a block diagram illustrating the internal configuration of a swallowing disorder diagnosis device using voice analysis according to one embodiment of the present invention.

[0026] FIG. 2 is a flowchart illustrating a method for diagnosing swallowing disorders using voice analysis according to one embodiment of the present invention.

[0027] FIG. 3 is a flowchart illustrating a specific voice analysis process in a method for diagnosing swallowing disorders using voice analysis according to one embodiment of the present invention.

[0028] FIG. 1 is a block diagram illustrating the internal configuration of a swallowing disorder diagnosis device using voice analysis according to one embodiment of the present invention.

[0029] Referring to FIG. 1, a swallowing disorder diagnosis device (100) using voice analysis according to one embodiment of the present invention includes an input unit (110), a memory unit (120), an analysis unit (130), a display unit (140), and a speaker unit (150).

[0030] The input unit (110) serves to receive the patient's voice information. In one embodiment of the present invention, the input unit (110) may include a microphone.

[0031] The memory unit (120) serves to store data necessary for analyzing swallowing disorders.

[0032] The display unit (140) serves to display information under the control of the analysis unit (130).

[0033] The speaker unit (150) outputs an audio signal under the control of the analysis unit (130).

[0034] The analysis unit (130) receives voice information of a patient before drinking water through the input unit (110) and extracts a first acoustic component including a predetermined parameter, and receives voice information of a patient after drinking water through the input unit (110) and extracts a second acoustic component including a predetermined parameter. In one embodiment of the present invention, the analysis unit (130) can extract a first acoustic component including phonation, resonance, and respiration parameters. In one embodiment of the present invention, the analysis unit (130) can extract a second acoustic component including phonation, resonance, and respiration parameters.

[0035] In addition, the analysis unit (130) performs voice analysis by comparing the first acoustic component and the second acoustic component, and diagnoses whether there is a swallowing disorder based on the voice analysis results.

[0036] The analysis unit (130) can control the display unit (140) to display the swallowing disorder diagnosis result information and output it as a voice through the speaker unit (150).

[0037] In one embodiment of the present invention, the analysis unit (130) can perform voice analysis by comparing each parameter with respect to the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component, and analyzing the amount of change.

[0038] In one embodiment of the present invention, the memory unit (120) may store control group information including change amount data of each parameter according to the patient's age and gender, which is necessary for statistical analysis verification, regarding the change amount of parameters extracted from the patient's voice information before drinking water and the change amount of parameters extracted from the patient's voice information after drinking water. For example, the memory unit (120) may store control group information including change amount data of resonance parameters according to the patient's age and gender, control group information including change amount data of phonation parameters according to the patient's age and gender, and control group information including change amount data of respiration parameters according to the patient's age and gender.

[0039] The analysis unit (130) can use the control group information read from the memory unit (120) to perform statistical analysis and verification on the amount of change in each parameter, and can use only the significant data by verifying it.

[0040] The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated and described in detail in the drawings. However, this is not intended to limit the present invention to specific embodiments, but rather to encompass all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention.

[0041] The terminology used in this application is only used to describe specific embodiments and is not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, it should be understood that the terms "comprise" or "have" indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0042] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and will not be interpreted in an idealized or overly formal sense unless explicitly defined herein.

[0043] In addition, when describing with reference to the attached drawings, identical components will be assigned the same reference numerals regardless of the drawing numbers, and redundant descriptions thereof will be omitted. When describing the present invention, if a detailed description of a related known technology is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted.

[0044] The present invention relates to a swallowing disorder diagnosis device, and includes an input unit for receiving voice information from a patient, a memory unit for storing data required for analyzing a swallowing disorder, a display unit for displaying information, a speaker unit for outputting an acoustic signal, and an analysis unit for receiving voice information from a patient before drinking water through the input unit and extracting a first acoustic component including a predetermined parameter, receiving voice information from a patient after drinking water through the input unit and extracting a second acoustic component including a predetermined parameter, performing voice analysis by comparing the first acoustic component and the second acoustic component, diagnosing whether or not a swallowing disorder exists based on the voice analysis result, and controlling the display unit to display swallowing disorder diagnosis result information and the speaker unit to output it as a voice.

[0045] The above analysis unit can extract a first acoustic component including phonation, resonance, and respiration parameters, and can extract a second acoustic component including phonation, resonance, and respiration parameters.

[0046] The above analysis unit can perform voice analysis by comparing each parameter with respect to the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component, and analyzing the amount of change.

[0047] The above analysis unit can perform statistical analysis and verification on the amount of change in each parameter and use only the meaningful data.

[0048] In a method for diagnosing swallowing disorders in a swallowing disorder diagnosis device using voice information of the present invention, the method comprises: a step of extracting a first acoustic component including a predetermined parameter from the input voice information input by an analysis unit when voice information of a patient before drinking water is input by an input unit; a step of extracting a second acoustic component including a predetermined parameter from the input voice information input by the analysis unit when voice information of a patient after drinking water is input by the input unit; a step of performing voice analysis by comparing the first acoustic component and the second acoustic component in the analysis unit; and a step of diagnosing whether or not a swallowing disorder exists based on the voice analysis result in the analysis unit.

[0049] The above analysis unit can extract a first acoustic component including phonation, resonance, and respiration parameters, and extract a second acoustic component including phonation, resonance, and respiration parameters.

[0050] The above analysis unit can perform voice analysis by comparing each parameter with respect to the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component, and analyzing the amount of change.

[0051] The above analysis unit can perform statistical analysis and verification on the amount of change in each parameter and use only the meaningful data.

[0052] FIG. 1 is a block diagram illustrating the internal configuration of a swallowing disorder diagnosis device using voice analysis according to one embodiment of the present invention.

[0053] Referring to FIG. 1, a swallowing disorder diagnosis device (100) using voice analysis according to one embodiment of the present invention includes an input unit (110), a memory unit (120), an analysis unit (130), a display unit (140), and a speaker unit (150).

[0054] The input unit (110) serves to receive the patient's voice information. In one embodiment of the present invention, the input unit (110) may include a microphone.

[0055] The memory unit (120) serves to store data necessary for analyzing swallowing disorders.

[0056] The display unit (140) serves to display information under the control of the analysis unit (130).

[0057] The speaker unit (150) outputs an audio signal under the control of the analysis unit (130).

[0058] The analysis unit (130) receives voice information of a patient before drinking water through the input unit (110) and extracts a first acoustic component including a predetermined parameter, and receives voice information of a patient after drinking water through the input unit (110) and extracts a second acoustic component including a predetermined parameter. In one embodiment of the present invention, the analysis unit (130) can extract a first acoustic component including phonation, resonance, and respiration parameters. In one embodiment of the present invention, the analysis unit (130) can extract a second acoustic component including phonation, resonance, and respiration parameters.

[0059] In addition, the analysis unit (130) performs voice analysis by comparing the first acoustic component and the second acoustic component, and diagnoses whether there is a swallowing disorder based on the voice analysis results.

[0060] The analysis unit (130) can control the display unit (140) to display the swallowing disorder diagnosis result information and output it as a voice through the speaker unit (150).

[0061] In one embodiment of the present invention, the analysis unit (130) can perform voice analysis by comparing each parameter with respect to the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component, and analyzing the amount of change.

[0062] In one embodiment of the present invention, the memory unit (120) may store control group information including change amount data of each parameter according to the patient's age and gender, which is necessary for statistical analysis verification, regarding the change amount of parameters extracted from the patient's voice information before drinking water and the change amount of parameters extracted from the patient's voice information after drinking water. For example, the memory unit (120) may store control group information including change amount data of resonance parameters according to the patient's age and gender, control group information including change amount data of phonation parameters according to the patient's age and gender, and control group information including change amount data of respiration parameters according to the patient's age and gender.

[0063] The analysis unit (130) can use the control group information read from the memory unit (120) to perform statistical analysis and verification on the amount of change in each parameter, and can use only the significant data by verifying it.

[0064] FIG. 2 is a flowchart illustrating a method for diagnosing swallowing disorders using voice analysis according to one embodiment of the present invention.

[0065] Referring to FIG. 2, the input unit (110) receives voice information from a patient before drinking water (S110), and the analysis unit (130) extracts a first acoustic component including a predetermined parameter from the input voice information (S120). In one embodiment of the present invention, the analysis unit (130) can extract a first acoustic component including phonation, resonance, and respiration parameters.

[0066] Then, the input unit (110) receives voice information after the patient drinks water (S130), and the analysis unit (130) extracts a second acoustic component including a predetermined parameter from the input voice information (S140). For example, the voice information after the patient drinks 10 cc of water may be received. In one embodiment of the present invention, the analysis unit (130) may extract a second acoustic component including phonation, resonance, and respiration parameters.

[0067] Then, voice analysis is performed in the analysis unit (130) by comparing the first acoustic component and the second acoustic component (S150).

[0068] And, the analysis unit (130) diagnoses whether there is a swallowing disorder based on the voice analysis results (S160).

[0069] In one embodiment of the present invention, the analysis unit (130) can perform voice analysis by comparing each parameter with respect to the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component, and analyzing the amount of change.

[0070] In addition, the analysis unit (130) can perform statistical analysis verification on the amount of change in each parameter and use only the meaningful data.

[0071] In statistical hypothesis testing, the p-value (probability value) is the probability of significance, which is the probability that a result more extreme than the result obtained when assuming the null hypothesis is true will actually be observed. The probability of significance of an experiment is a random variable defined in the sample space of the experiment, and has a value between 0 and 1.

[0072] The p-value is a number between 0 and 1 that expresses the degree to which observed data is consistent with the null hypothesis. Generally, if the p-value is less than 0.05 (p<0.05), the data is considered significant.

[0073] FIG. 3 is a flowchart illustrating a specific voice analysis process in a method for diagnosing swallowing disorders using voice analysis according to one embodiment of the present invention. FIG. 3 is a flowchart specifically illustrating the contents of steps S150 and S160 in FIG. 2.

[0074] Referring to FIG. 3, the analysis unit (130) compares the first resonance parameter of the first acoustic component with the second resonance parameter of the second acoustic component to measure the first change amount. Then, the measured first change amount is verified through statistical analysis. That is, the first change amount is determined to be a significant value only when the difference between the change amount between the first resonance parameter and the second resonance parameter in a control group corresponding to the same age and gender as the patient and the first change amount is p<0.05. The first change amount verified through statistical analysis in this way is classified into the first category (S210).

[0075] Then, the analysis unit (130) compares the first phonation parameter of the first acoustic component with the second phonation parameter of the second acoustic component to measure the second change amount. Then, the measured second change amount is verified through statistical analysis. That is, only when the difference between the change amount between the first phonation parameter and the second phonation parameter in the control group corresponding to the same age and gender as the patient and the second change amount is p<0.05, the second change amount is determined to be a significant value. The second change amount verified through statistical analysis in this way is classified into the second category (S210).

[0076] Then, the analysis unit (130) measures the third change amount by comparing the first respiration parameter of the first acoustic component with the second respiration parameter of the second acoustic component. Then, the measured third change amount is verified through statistical analysis. That is, the third change amount is determined to be a significant value only when the difference between the change amount between the first respiration parameter and the second respiration parameter in the control group corresponding to the same age and gender as the patient and the third change amount is p<0.05. The third change amount verified through statistical analysis in this way is classified into a third category (S210).

[0077] Then, the analysis unit (130) normalizes the verified first, second and third changes to 100 and scores them with a total score of 100 points.

[0078] The analysis unit (130) diagnoses the voice as normal (S230) if it does not fall into any of the first, second, and third categories (condition 1) or if the total score is less than 30 points (condition 2) (S220) based on the voice analysis results. At this time, the analysis unit (130) may display a message recommending a normal regular diet through the display unit (140) and speaker unit (150).

[0079] The analysis unit (130) diagnoses a patient with dysphagia, which may be due to a dysphagia disorder, if the patient falls into one or two of the first, second, and third categories (condition 3) or if the total score is less than 60 points (condition 4) (S240) based on the voice analysis results (S250). At this time, the analysis unit (130) may display a message recommending a soft blended diet through the display unit (140) and speaker unit (150).

[0080] The analysis unit (130) diagnoses a patient with a very high risk of dysphagia if the voice analysis results fall into all three categories (condition 5) or if the total score is 60 points or higher (condition 6) (S260). At this time, the analysis unit (130) may display a message recommending additional tests such as VFSS along with tube feeding through the display unit (140) and speaker unit (150).

[0081] While the present invention has been described using several preferred embodiments, these embodiments are illustrative and not limiting. Those skilled in the art will appreciate that various changes and modifications can be made without departing from the spirit and scope of the invention as set forth in the appended claims.

Claims

1. Input section for receiving the patient's voice information; A memory unit for storing data required to analyze swallowing disorders; A display unit for displaying information; A speaker section for outputting an audio signal; and An analysis unit that receives voice information of a patient before drinking water through the input unit and extracts a first acoustic component including a predetermined parameter, receives voice information of a patient after drinking water through the input unit and extracts a second acoustic component including a predetermined parameter, performs voice analysis by comparing the first acoustic component and the second acoustic component, diagnoses whether there is a swallowing disorder based on the voice analysis result, and controls the display unit to display the swallowing disorder diagnosis result information and output it as a voice from the speaker unit. A swallowing disorder diagnostic device comprising:

2. In claim 1, The above analysis unit, Extract the first acoustic component including phonation, resonance, and respiration parameters, A swallowing disorder diagnosis device characterized by extracting a second acoustic component including phonation, resonance, and respiration parameters.

3. In claim 2, A swallowing disorder diagnosis device characterized in that the analysis unit performs voice analysis by comparing each parameter with the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component to analyze the amount of change.

4. In claim 3, A swallowing disorder diagnosis device characterized in that the above analysis unit performs statistical analysis verification on the amount of change in each parameter and verifies and uses only meaningful data.

5. In a method for diagnosing swallowing disorders in a swallowing disorder diagnosis device using voice information, When the patient's voice information before drinking water is input into the input unit, a step of extracting a first acoustic component including a predetermined parameter from the input voice information into the analysis unit; A step of extracting a second acoustic component including a predetermined parameter from the input voice information of a patient after drinking water in the input unit, in the analysis unit; A step of performing voice analysis by comparing the first acoustic component and the second acoustic component in the above analysis unit; and A step for diagnosing whether there is a swallowing disorder based on the voice analysis results in the above analysis unit. A method for diagnosing swallowing disorders, including:

6. In claim 5, The above analysis unit, Extract the first acoustic component including phonation, resonance, and respiration parameters, A method for diagnosing swallowing disorders, characterized by extracting a second acoustic component including phonation, resonance, and respiration parameters.

7. In claim 6, A method for diagnosing swallowing disorders, characterized in that the analysis unit performs voice analysis by comparing each parameter with the first vocalization parameter, the first resonance parameter, and the first breathing parameter of the first acoustic component and the second vocalization parameter, the second resonance parameter, and the second breathing parameter of the second acoustic component to analyze the amount of change.

8. In claim 7, A method for diagnosing swallowing disorders, characterized in that the above analysis unit performs statistical analysis verification on the amount of change in each parameter and verifies and uses only significant data.

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