WO2022145492A1 - 聴診音の解析システム - Google Patents
聴診音の解析システム Download PDFInfo
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- WO2022145492A1 WO2022145492A1 PCT/JP2021/049035 JP2021049035W WO2022145492A1 WO 2022145492 A1 WO2022145492 A1 WO 2022145492A1 JP 2021049035 W JP2021049035 W JP 2021049035W WO 2022145492 A1 WO2022145492 A1 WO 2022145492A1
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- 238000004458 analytical method Methods 0.000 title claims abstract description 68
- 238000006243 chemical reaction Methods 0.000 claims abstract description 11
- 238000002555 auscultation Methods 0.000 claims description 42
- 230000005236 sound signal Effects 0.000 claims description 8
- 230000006870 function Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000005070 sampling Methods 0.000 claims description 2
- 208000029523 Interstitial Lung disease Diseases 0.000 abstract description 14
- 230000008859 change Effects 0.000 abstract description 12
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 3
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Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
- A61B7/02—Stethoscopes
- A61B7/04—Electric stethoscopes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
Definitions
- the present invention applies to the output method and the program thereof for the purpose of grasping the change over time of the "intensity of the signal component" of the sound in the hearing sound analysis system, and performs spectrogram conversion of the hearing sound.
- the present invention relates to an audiogram analysis system, an output method, a display method, and a program, which are characterized by outputting the strength of a signal component in a specific frequency or frequency range along a time axis.
- the act of grasping the condition of a living body by using the sound emitted by the living body is generally performed as a medical practice. For example, in medical examinations, respiratory sounds, heart sounds, and various other organ sounds are listened to using a hearing device and used for diagnosis of respiratory diseases, heart diseases, digestive diseases, and the like.
- the spectrogram refers to the result of calculating the frequency spectrum by passing a composite signal through a window function. It is represented by a three-dimensional graph (time, frequency, strength of signal components). Spectrograms are used for voiceprint identification, animal bark analysis, music, sonar / radar, speech processing, and more. The spectrogram is sometimes called a voiceprint. A device that generates a spectrogram is called a sonograph.
- Patent Document 1 Patent No. 3625294.
- the stethoscope sound can be displayed as three-dimensional information having frequency, time, and amplitude information, and the information that the sound tends to rely on subjective judgment is objectively displayed. It can be output as information.
- an inspector who uses a stethoscope for diagnosis judges a suspicion of illness based on the sound information obtained from his / her ear and in light of past experience.
- Auscultation sounds for various diseases have frequency characteristics, and the strength of the signal component at each frequency differs between the normal auscultation sound and the auscultation sound during illness.
- the inspector makes a judgment by applying the frequency characteristics of the hearing sound information obtained from the ear to his own experience, but specifically when the hearing sound caused by various diseases has a frequency of what Hz. If the disease A is another disease B when the hearing sound has a different frequency (Hz), the disease is not diagnosed in association with the specific frequency of the hearing sound.
- Patent Document 1 a spectrogram of auscultatory sound obtained in a short time range obtained in "real time” assuming a conventional medical examination is obtained, and the inventor of the patent is an anesthesiology doctor. It was a technical idea to contribute to the three-dimensional visual objective diagnosis of "real-time breath sounds and heart sounds on the spot".
- the conventional devices have provided a means for remotely transmitting the auscultation sound as sound data and a means for visually and objectively grasping the auscultation sound in real time.
- the problem is that the condition of viral interstitial pneumonia suddenly changes and the patient who is a PCR-positive patient who is forced to follow up outside the medical institution such as asymptomatic or mildly ill patients dies. There is.
- an object of the present invention is characterized in that auscultatory sound is converted into digital data, further spectrogram-converted, and the strength of a signal component in a specific frequency or frequency range is output along a time axis.
- the purpose is to provide an analysis system for auscultatory sounds.
- the auscultation sound analysis system of the present invention in the auscultation sound analysis system, a) Auscultation sound signal acquisition means for acquiring an auscultation sound signal in the body from the patient, b) Auscultation sound signal sampling means that digitally samples the auscultation sound signal in the body and converts it into discrete auscultation sound data. c) A spectrogram conversion means for converting the auscultation sound discrete data into an auscultation sound spectrogram, and d) From the data obtained by the spectrogram conversion means, the strength of the signal component at at least one predetermined frequency can be determined. It is characterized by being equipped with an auscultatory sound analysis system characterized by outputting along the time axis.
- the auscultatory sound analysis system of the present invention is used over time, the clinical course of the patient can be analyzed along the time axis with the strength of the signal component of the target frequency.
- the auscultatory sound analysis system In the auscultatory sound analysis system according to claim 1, d) From the data obtained by the spectrogram conversion means, the strength of the signal component in at least one predetermined frequency range can be determined. It is characterized by being equipped with an auscultatory sound analysis system characterized by outputting along the time axis.
- the auscultatory sound analysis system of the present invention can be used over time, the clinical course of the patient can be analyzed along the time axis with the strength of the signal component in the target frequency range.
- the auscultation sound analysis system according to claim 1 is used.
- Auscultatory sound characterized by outputting the strength of a signal component exceeding a certain threshold value in at least one predetermined frequency range from the data obtained by the spectrogram conversion means along the time axis. It is characterized by having an analysis system of.
- the auscultatory sound analysis system of the present invention can be used over time, the clinical course of the patient can be analyzed along the time axis with the strength of the signal component exceeding a certain threshold value in the target frequency range.
- the output data can be visually recognized by the display means.
- the auscultatory sound analysis system of the present invention In order to solve the above problems, in the auscultatory sound analysis system of the present invention, in the auscultatory sound analysis system according to claim 1, claim 2, claim 3, and claim 4. It is characterized by being equipped with an auscultation sound analysis system, which is characterized by incorporating a communication arithmetic unit having a display function such as a smartphone.
- analysis information such as the strength of signal components can be displayed using the display screen of a smartphone.
- the auscultatory sound analysis system according to claim 1, claim 2, claim 3, claim 4, claim 5, and claim 6 is characterized in that the data generated by the system is uploaded to a cloud server on the Internet. It is characterized by being equipped with an analysis system for auscultatory sounds.
- the biological information acquired from the patient can be aggregated in the cloud server together with the strength of the signal component after the spectrogram analysis of the auscultation sound.
- the auscultatory sound analysis system of the present invention In the auscultatory sound analysis system according to claim 7, It is characterized by being equipped with an auscultatory sound analysis system, which is characterized by downloading analysis-related data from a cloud server on the Internet.
- the biological information acquired from the patient can be acquired together with the strength of the signal component after the spectrogram analysis of the auscultation sound, as well as the judgment information after being aggregated in the cloud server. Can be output or displayed. (Fig. 1B)
- auscultatory sound analysis system of this embodiment is used over time, medical personnel such as doctors and nurses can change the patient's pathological condition over a period of several hours or days by changing the auscultatory sound data, body temperature, and electrocardiogram. You can know from.
- FIG. 5 As shown in the example of a three-dimensional image display of a spectrogram of auscultatory sound, if energy is similarly present at 300 Hz or less, the energy of the frequency band below 300 Hz is the breathing sound of the user. Considering that it is meaningless as information for diagnosing, by making a correction to weaken the low frequency component, the correction is made so that the user can diagnose various breathing sounds from the energy of the frequency band of 300 Hz or higher. You may go. It can also be seen that there is a large amount of energy in the low frequency region of 300 Hz or less for all of the normal breath sounds, the pneumonia breath sounds, and the asthma breath sounds.
- the auscultation sound analysis system of this embodiment is used over time, as another medical application, medical treatment is performed from the terminal when the waveform of the shunt sound of dialysis is different from the normal one or when the upper limit of the frequency is exceeded. Notification to workers is also possible. Furthermore, a system that can analyze the shunt auscultatory sound during dialysis over time is also possible. Of course, it can also be applied to grasp the pathological condition of "drug-induced interstitial pneumonia", which is a serious side effect associated with administration of anticancer drugs. It is possible to grasp and grasp the changes over time in the respiratory, digestive, circulatory, and all other diseases that are the subject of auscultation in clinical medicine.
- the situation of the spectrogram that quantitatively analyzes the situation of the appearance of "intensity of signal component” is schematically illustrated. It is a bird view photograph of a three-dimensional three-dimensional model of a spectrogram of crepitus of interstitial pneumonia composed of green, yellow, red, and black lego blocks. The frequency range is set to 4 zones of 0-500, 501-1000, 1001-1500, 1500-2000Hz. For each region, the situation of the spectrogram that quantitatively analyzes the situation of the appearance of "intensity of signal component” is schematically illustrated.
- FIG. 1 is a configuration diagram of an embodiment of the device of the auscultatory sound analysis system of the present invention.
- a thermometer capable of grasping the onset of onset and a sensor having a device and a function capable of grasping an electrocardiogram change suggesting a serious oxygen disorder to the myocardium are provided.
- It is equipped with an internal power supply to enable independent electrical operation as a terminal.
- It also has a wireless communication unit for sending and receiving data to and from external devices.
- Microphones include MEMS microphones and organic / inorganic piezo microphones. It also has a display unit that displays data related to the patient's situation.
- FIG. 1B is a system configuration diagram of the auscultation sound analysis system of the present invention in the case where a smartphone is included in the configuration. In this case, the input, output, communication, calculation, display, and billing functions of the smartphone can be used.
- FIG. 1 It is a scheme diagram of AuroraScopeTM which bears a system in an Example. It is used by attaching it to the patient's chest body surface.
- FIG. 2 is a GUI of a smartphone screen output by Wireless. Temperature (body temperature), heart rate, respiratory rate, spectrogram of auscultatory sound, and electrocardiogram are displayed compactly. Respiratory rate can be easily grasped by the frequency of appearance of the spectrum on the spectrogram. In this example, in the frequency range of 0-500 Hz below the spectrogram, the "intensity of the signal component" is constantly observed, and in addition, at around 1000 Hz, the "signal component” is adjusted to breathing. “Strength” has been detected. This example is a spectrogram of data of a case of drug-induced interstitial pneumonia, but by amplifying the amplitude of auscultatory sound, the "frequency range” corresponding to this disease can be treated “quantitatively”. ..
- FIG. 3 is a GUI of a smartphone screen output by Willless.
- the temporal change of the "signal component strength" of a plurality of frequency ranges for the purpose of the temperature (body temperature), heart rate, respiratory rate, and auscultatory sound spectrogram described in [0042] is the change of the target part of the electrocardiogram. The amount is displayed.
- the onset of respiratory failure due to the new coronavirus infection which is the focus of attention in this case, requires several-day management, and during this process, it is not possible to judge by looking at the spectrogram images of all patients.
- FIG. 4 is a GUI of a smartphone screen output by Wireless.
- the temporal change of the "signal component strength" of the target frequency range of the temperature (body temperature), heart rate, respiratory rate, and spectrogram of auscultatory sound is displayed.
- the auscultatory sound of breathing is the breathing sound of childhood asthma, the noise of valvular heart disease in the chest, and the heart valve membrane.
- Auscultatory sound of artificial valve opening and closing failure in the early postoperative period due to changes in the opening and closing sound of the artificial heart valve after surgery, detection of poor shunt sound of dialysis shunt, and abdominal intestinal peristaltic movement before diarrhea of irritable colitis If it becomes possible to follow up the auscultatory sound over time, such as detecting the auscultatory sound, it will be useful for managing various pathological conditions. In such a case, narrow down to a frequency or frequency range suitable for a specific purpose in advance, and grasp the change over time in the "strength of signal components". It is desirable to grasp.
- FIG. 5 shows an example of displaying a three-dimensional image of a spectrogram of auscultatory sound. If energy exists in the same way at 300 Hz or less, the energy of the frequency band below 300 Hz is considered to be meaningless as information for the user to diagnose breath sounds, and the low frequency component is dared to be used. By making a correction of weakening, a correction may be made so that the user can diagnose various breath sounds from the energy of the frequency band of 300 Hz or higher. It can also be seen that there is a large amount of energy in the low frequency region of 300 Hz or less for all of the normal breath sounds, the pneumonia breath sounds, and the asthma breath sounds.
- the "strength of the signal component" exceeding a certain threshold value is extracted and converted into data, and data with less noise can be acquired. Furthermore, by setting the frequency range to a range other than the normal alveolar sound range, it becomes easier to grasp the abnormality of the lung.
- FIG. 6 A three-dimensional three-dimensional model photograph of a normal alveolar sound (left) and a crepitus sound of interstitial pneumonia (right) composed of green, yellow, red, and black lego blocks is shown.
- the frequency range is set to 4 zones of 0-500, 501-1000, 1001-1500, 1501-2000Hz.
- the situation of the spectrogram that quantitatively analyzes the situation of the appearance of "intensity of signal component” is schematically illustrated. In this display.
- FIG. 7 is a three-dimensional three-dimensional model photograph of a normal alveolar sound spectrogram composed of green, yellow, and lego blocks.
- the frequency range is set to 4 zones of 0-500, 501-1000, 1001-1500, 1501-2000Hz.
- This photographic diagram shows the height of the "strength of the signal component" in the frequency range by making a bird's-eye view.
- FIG. 8 is a bird's-eye view photograph of a three-dimensional three-dimensional model of a spectrogram of crepitus of interstitial pneumonia composed of green, yellow, red, and black lego blocks.
- the frequency range is set to 4 zones of 0-500, 501-1000, 1001-1500, 1501-2000Hz. For each region, the situation of the spectrogram that quantitatively analyzes the situation of the appearance of "intensity of signal component" is schematically illustrated.
- the frequency and strength of the appearance frequency and strength of the "signal component strength" of the "pa" sound of the crepitus sound in the high temperature region is the progression of the pathological condition. It is a "sign" of deterioration.
- the terminal module attached to the body surface to the smartphone can be sent and received by Bluetooth communication, and the smartphone to the cloud.
- the smartphone By aggregating information on the server, it will lead to the Population Health Management, which will contribute to the control of pathological conditions such as large-scale infectious diseases and medical welfare.
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Abstract
Description
a)前記患者から体内聴診音信号を取得する聴診音信号取得手段と、
b)前記体内聴診音信号をデジタルサンプリングして、聴診音離散データに変換する聴診音信号サンプリング手段と、
c)前記聴診音離散データを聴診音スペクトログラムに変換するスペクトログラム変換手段と、
d)前記スペクトログラム変換手段で得られたデータから、予め定められた少なくとも一つの周波数における、信号成分の強さを、
時間軸に沿って出力することを特徴とする聴診音の解析システム
を備えることを特徴としている。
請求項1に記載の聴診音の解析システムにおいて、
d)前記スペクトログラム変換手段で得られたデータから、予め定められた少なくとも一つの周波数範囲における、信号成分の強さを、
時間軸に沿って出力することを特徴とする聴診音の解析システムを備えることを特徴としている。
d)前記スペクトログラム変換手段で得られたデータから、予め定められた少なくとも一つの周波数範囲における、一定の閾値を超える信号成分の強さを、時間軸に沿って出力することを特徴とする聴診音の解析システムを備えることを特徴としている。
[請求項4]に記載の聴診音の解析システムでは、出力データを表示手段により、視認することができる。
請求項1,請求項2,請求項3、請求項4に記載の聴診音の解析システムにおいて、
スマートフォンなどの表示機能を備えた通信演算装置を組み込んだことを特徴とする聴診音の解析システムを備えることを特徴としている。
請求項1,請求項2,請求項3、請求項4,請求項5に記載の聴診音の解析システムにおいて、
体温計と心電図計が同時に組み込まれたことを特徴とする聴診音の解析システム
を備えることを特徴としている。
請求項1,請求項2,請求項3、請求項4,請求項5,請求項6に記載の聴診音の解析システムにおいて、システムで生成したデータをインターネット上クラウドサーバーにアップロードすることを特徴とする聴診音の解析システム
を備えることを特徴としている。
請求項7に記載の聴診音の解析システムにおいて、
解析に関するデータをインターネット上クラウドサーバーからダウンロードすることを特徴とする聴診音の解析システムを備えることを特徴としている。
新型コロナウイルス感染症では、まず、発熱があり、その後、ウイルス性間質性肺炎が発し、血管7内の血液凝集による臓器血流障害が発生し、とくに、心臓の血液循環が不良になる。このため、発症の始まりを把握できる体温計と重大な心筋への酸素障害を示唆する心電図変化を把握できる装置と機能をもつセンサを備える構成をとる。端末機として独立した電気的動作を可能とするため、内部電源を備える。外部装置へのデータ送受信のためのワイヤレス通信部も備える。マイクは、MEMSマイク、有機・無機のピエゾマイクがある。患者の状況に関するデータを表示する表示部も備える。
患者の胸部体表に貼付して使用する。
握することが、望ましい。
Claims (10)
- 聴診音の解析システムにおいて、
a)前記患者から体内聴診音信号を取得する聴診音信号取得手段と、
b)前記体内聴診音信号をデジタルサンプリングして、聴診音離散データに変換する聴診音信号サンプリング手段と、
c)前記聴診音離散データを聴診音スペクトログラムに変換するスペクトログラム変換手段と、
d)前記スペクトログラム変換手段で得られたデータから、予め定められた少なくとも一つの周波数における、信号成分の強さを、
時間軸に沿って出力することを特徴とする聴診音の解析システム。 - 請求項1に記載の聴診音の解析システムにおいて、
d)前記スペクトログラム変換手段で得られたデータから、予め定められた少なくとも一つの周波数範囲における、信号成分の強さを、
時間軸に沿って出力することを特徴とする聴診音の解析システム。 - 請求項1に記載の聴診音の解析システムにおいて、
d)前記スペクトログラム変換手段で得られたデータから、予め定められた少なくとも一の周波数範囲における、一定の閾値を超える信号成分の強さを、時間軸に沿って出力することを特徴とする聴診音の解析システム。 - 前記、請求項1,請求項2,請求項3に記載の聴診音の解析システムにおいて、
信号成分の強さを、時間軸に沿って出力する際に、表示手段を備えることを特徴とする聴診音の解析システム。 - 前記、請求項1,請求項2,請求項3、請求項4に記載の聴診音の解析システムにおいて、スマートフォンなどの表示機能を備えた通信演算装置を組み込んだことを特徴とする聴診音の解析システム。
- 前記、請求項1,請求項2,請求項3、請求項4,請求項5に記載の聴診音の解析システムにおいて、体温計と心電図計が同時に組み込まれたことを特徴とする聴診音の解析システム。
- 前記、請求項1,請求項2,請求項3、請求項4,請求項5,請求項6に記載の聴診音の解析システムにおいて、システムで生成したデータをインターネット上クラウドサーバーにアップロードすることを特徴とする聴診音の解析システム。
- 前記、請求項7に記載の聴診音の解析システムにおいて、
解析に関するデータをインターネット上クラウドサーバーからダウンロードすることを特徴とする聴診音の解析システム。 - 請求項1、請求項2,請求項3、請求項4,請求項5,請求項6,請求項7,請求項8に記載の聴診音の解析システムにおいて、システムを構成することを特徴とする聴診音の解析システムの装置。
- 請求項1、請求項2,請求項3、請求項4,請求項5,請求項6,請求項7,請求項8に記載の聴診音の解析システムにおいて、システムを稼働させることを可能にすることを特徴とする聴診音の解析システムのプログラム。
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