TW202019339A - Intelligent human body monitoring system and abdominal sound monitoring device thereof - Google Patents

Intelligent human body monitoring system and abdominal sound monitoring device thereof Download PDF

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TW202019339A
TW202019339A TW108104295A TW108104295A TW202019339A TW 202019339 A TW202019339 A TW 202019339A TW 108104295 A TW108104295 A TW 108104295A TW 108104295 A TW108104295 A TW 108104295A TW 202019339 A TW202019339 A TW 202019339A
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audio
sound
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abdomen
server
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TWI703958B (en
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林子傑
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英華達股份有限公司
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    • A—HUMAN NECESSITIES
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00—Instruments for auscultation
    • A61B7/008—Detecting noise of gastric tract, e.g. caused by voiding
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00—Instruments for auscultation
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Abstract

The present disclosure provides an intelligent human body monitoring system that includes an abdominal sound monitoring device. The abdominal sound monitoring device senses an audio and transmits the audio to a mobile device, so that the mobile device determines whether the audio is a bowel sound. If so, the mobile device calculates the number of times of the audio per unit time.

Description

智能人體監測系統及其腹部聲音監測裝 置 Intelligent human body monitoring system and its belly sound monitoring equipment Set

本發明是有關於一種系統與裝置，且特別是有關於一種智能人體監測系統及其腹部聲音監測裝置。 The invention relates to a system and a device, and in particular to an intelligent human body monitoring system and abdomen sound monitoring device.

現今隨著人口老化，長期照護顯得格外重要，雖然市面已有許多健康管理產品，對於腹部疾病卻鮮少有相關的產品。 As the population ages today, long-term care is particularly important. Although there are many health management products on the market, there are few related products for abdominal diseases.

在腹部理學檢查，視、聽、扣、觸中的聽，是以聽診器去聆聽腹部的腸蠕音判斷腸道狀況，十分不便。 In the physical examination of the abdomen, it is very inconvenient to use the stethoscope to listen to the intestinal peristalsis of the abdomen with a stethoscope to listen to the intestinal peristalsis.

本發明提出一種智能人體監測系統及其腹部聲音監測裝置，改善先前技術的問題。 The present invention proposes an intelligent human body monitoring system and its abdominal sound monitoring device to improve the problems of the prior art.

在本發明的一實施例中，本發明所提出的智能人體監測系統包含腹部聲音監測裝置與伺服器，腹部聲音監測裝置包含通訊裝置、聲音感測器與處理器。聲音感測器感測音訊。處理器透過通訊裝置，將音訊傳送至行動裝置，使 行動裝置判斷音訊是否為腸音，若是，行動裝置計算每單位時間內音訊的發音次數。伺服器自行動裝置接收音訊轉換成音訊圖像，並對音訊圖像卷積神經網路分析音訊以得出分析結果，當分析結果符合至少一預設條件時，伺服器推送通知給行動裝置。 In an embodiment of the present invention, the intelligent human body monitoring system proposed by the present invention includes an abdomen sound monitoring device and a server. The abdomen sound monitoring device includes a communication device, a sound sensor, and a processor. The sound sensor senses audio. The processor transmits the audio to the mobile device through the communication device, so that The mobile device determines whether the audio is bowel sounds. If so, the mobile device counts the number of times the audio is pronounced per unit time. The server receives the audio from the mobile device and converts it into an audio image, and analyzes the audio with a convolutional neural network for the audio image to obtain an analysis result. When the analysis result meets at least one preset condition, the server pushes the notification to the mobile device.

在本發明的一實施例中，聲音感測器為麥克風陣列以對應於複數個腹部區域，音訊包含複數個腹部區域音訊。 In an embodiment of the invention, the sound sensor is a microphone array corresponding to a plurality of abdominal regions, and the audio includes a plurality of abdominal region audio.

在本發明的一實施例中，當每單位時間內複數個腹部區域音訊中至少一者的發音次數未落於預定範圍時，行動裝置呈現複數個腹部區域音訊中至少該者所對應的腹部區域的異常信息。 In an embodiment of the invention, when the number of pronunciations of at least one of the plurality of abdominal region audios per unit time does not fall within a predetermined range, the mobile device presents at least one of the abdominal region corresponding to the abdominal region audio Exception information.

在本發明的一實施例中，伺服器對音訊進行卷積運算提取聲音特徵，進而基於聲音特徵以建立類神經模型，分析結果包含類神經模型。 In an embodiment of the invention, the server performs a convolution operation on the audio to extract sound features, and then builds a neural-like model based on the sound features, and the analysis result includes a neural-like model.

在本發明的一實施例中，本發明所提出的腹部聲音監測裝置包含通訊裝置、聲音感測器與處理器。聲音感測器感測音訊。處理器透過通訊裝置，將音訊傳送至行動裝置，使行動裝置判斷音訊是否為腸音，若是，行動裝置計算每單位時間內音訊的發音次數。行動裝置發送音訊至伺服器，伺服器透過卷積神經網路分析音訊以得出分析結果，當分析結果符合至少一預設條件時，伺服器推送通知給行動裝置。 In an embodiment of the present invention, the abdominal sound monitoring device proposed by the present invention includes a communication device, a sound sensor, and a processor. The sound sensor senses audio. The processor transmits the audio to the mobile device through the communication device, so that the mobile device judges whether the audio is bowel sound, and if so, the mobile device counts the number of times the audio is pronounced per unit time. The mobile device sends audio to the server, and the server analyzes the audio through the convolutional neural network to obtain the analysis result. When the analysis result meets at least one preset condition, the server pushes the notification to the mobile device.

在本發明的一實施例中，聲音感測器為麥克風陣列以對應於複數個腹部區域，音訊包含複數個腹部區域音 訊。 In an embodiment of the invention, the sound sensor is a microphone array corresponding to a plurality of abdominal regions, and the audio includes a plurality of abdominal region sounds News.

在本發明的一實施例中，當每單位時間內複數個腹部區域音訊中至少一者的發音次數未落於預定範圍時，行動裝置呈現複數個腹部區域音訊中至少該者所對應的腹部區域的異常信息。 In an embodiment of the invention, when the number of pronunciations of at least one of the plurality of abdominal region audios per unit time does not fall within a predetermined range, the mobile device presents at least one of the abdominal region corresponding to the abdominal region audio Exception information.

在本發明的一實施例中，伺服器對音訊轉換成音訊圖像，並對音訊圖像進行卷積運算提取聲音特徵，進而基於聲音特徵以建立類神經模型，分析結果包含類神經模型。 In an embodiment of the invention, the server converts the audio into an audio image, and performs a convolution operation on the audio image to extract sound features, and then builds a neural-like model based on the sound features. The analysis result includes a neural-like model.

綜上所述，本發明之技術方案與現有技術相比具有明顯的優點和有益效果。本發明的技術方案設計一個位於腹部上的聲音監測儀器，用於監測腸蠕音，並可透過無線傳輸至雲端儲存與分析。 In summary, the technical solution of the present invention has obvious advantages and beneficial effects compared with the prior art. The technical solution of the present invention designs a sound monitoring instrument located on the abdomen for monitoring intestinal peristaltic sound, and can be wirelessly transmitted to the cloud for storage and analysis.

以下將以實施方式對上述之說明作詳細的描述，並對本發明之技術方案提供更進一步的解釋。 In the following, the above description will be described in detail in the embodiments, and the technical solutions of the present invention will be further explained.

為讓本發明之上述和其他目的、特徵、優點與實施例能更明顯易懂，所附符號之說明如下： In order to make the above and other objects, features, advantages and embodiments of the present invention more obvious and understandable, the attached symbols are described as follows:

110‧‧‧腹部聲音監測裝置 110‧‧‧ Abdominal sound monitoring device

112‧‧‧通訊裝置 112‧‧‧Communication device

114‧‧‧聲音感測器 114‧‧‧Sound sensor

116‧‧‧處理器 116‧‧‧ processor

120‧‧‧行動裝置 120‧‧‧Mobile device

130‧‧‧伺服器 130‧‧‧Server

200‧‧‧麥克風陣列 200‧‧‧Microphone array

210‧‧‧連接部件 210‧‧‧Connecting parts

為讓本發明之上述和其他目的、特徵、優點與實施例能更明顯易懂，所附圖式之說明如下：第1圖是依照本發明一實施例之一種智能人體監測系統的方塊圖；以及第2圖是依照本發明一實施例之一種腹部聲音監測裝置的局部示意圖。 In order to make the above and other objects, features, advantages and embodiments of the present invention more obvious and understandable, the drawings are described as follows: FIG. 1 is a block diagram of an intelligent human monitoring system according to an embodiment of the present invention; And FIG. 2 is a partial schematic diagram of an abdominal sound monitoring device according to an embodiment of the invention.

為了使本發明之敘述更加詳盡與完備，可參照所附之圖式及以下所述各種實施例，圖式中相同之號碼代表相同或相似之元件。另一方面，眾所週知的元件與步驟並未描述於實施例中，以避免對本發明造成不必要的限制。 In order to make the description of the present invention more detailed and complete, reference may be made to the accompanying drawings and various embodiments described below. The same numbers in the drawings represent the same or similar elements. On the other hand, well-known elements and steps are not described in the embodiments to avoid unnecessary restrictions to the present invention.

於實施方式與申請專利範圍中，涉及『連接』之描述，其可泛指一元件透過其他元件而間接耦合至另一元件，或是一元件無須透過其他元件而直接連結至另一元件。 In the embodiments and the scope of patent applications, the description relates to "connection", which can refer to a component indirectly coupled to another component through another component, or a component is directly connected to another component without other components.

於實施方式與申請專利範圍中，涉及『連接』之描述，其可泛指一元件透過其他元件而間接與另一元件進行間接連結，或是一元件無須透過其他元件而實體連結至另一元件。 In the embodiment and the scope of patent application, it refers to the description of "connection", which can refer to a component indirectly connected to another component through other components, or a component is not physically connected to another component without other components .

於實施方式與申請專利範圍中，除非內文中對於冠詞有所特別限定，否則『一』與『該』可泛指單一個或複數個。 In the embodiment and the scope of applying for a patent, unless there is a special limitation on articles in the text, "a" and "the" may refer to a single one or plural ones.

本文中所使用之『約』、『大約』或『大致』係用以修飾任何可些微變化的數量，但這種些微變化並不會改變其本質。於實施方式中若無特別說明，則代表以『約』、『大約』或『大致』所修飾之數值的誤差範圍一般是容許在百分之二十以內，較佳地是於百分之十以內，而更佳地則是於百分五之以內。 The terms "about", "approximately", or "approximately" used in this article are used to modify any slightly variable quantity, but such slight changes will not change its essence. If there is no special description in the embodiment, it means that the error range of the value modified by "about", "approximately" or "approximately" is generally allowed within 20%, preferably 10% Within, and better still within five percent.

第1圖是依照本發明一實施例之一種智能人體監測系統的方塊圖。如第1圖所示，智能人體監測系統可包含腹部聲音監測裝置110與伺服器130。在架構上，腹部聲音監測裝置110與行動裝置120建立有線與/或無線通訊，行動 裝置120與伺服器130建立有線與/或無線通訊。 FIG. 1 is a block diagram of an intelligent human body monitoring system according to an embodiment of the invention. As shown in FIG. 1, the intelligent human body monitoring system may include an abdominal sound monitoring device 110 and a server 130. Structurally, the abdominal sound monitoring device 110 establishes wired and/or wireless communication with the mobile device 120 to act The device 120 and the server 130 establish wired and/or wireless communication.

於第1圖中，腹部聲音監測裝置110包含通訊裝置112、聲音感測器114與處理器116。在架構上，處理器116電性連接通訊裝置112與聲音感測器114。舉例而言，處理器116可為影像處理器、中央處理單元、微控制器、其他處理電路、或前述之組合，通訊裝置112可為有線通訊裝置(如：USB傳輸裝置…等)與/或無線通訊裝置(如：藍芽通訊裝置、紅外線通訊裝置、Wi-Fi通訊裝置…等)。 In FIG. 1, the abdominal sound monitoring device 110 includes a communication device 112, a sound sensor 114, and a processor 116. In architecture, the processor 116 is electrically connected to the communication device 112 and the sound sensor 114. For example, the processor 116 may be an image processor, a central processing unit, a microcontroller, other processing circuits, or a combination of the foregoing, and the communication device 112 may be a wired communication device (such as a USB transmission device, etc.) and/or Wireless communication devices (such as Bluetooth communication devices, infrared communication devices, Wi-Fi communication devices, etc.).

於使用時，聲音感測器114感測音訊。處理器116透過通訊裝置112將音訊傳送至行動裝置120，使行動裝置120判斷音訊是否為腸音；舉例而言，行動裝置120比較音訊的波形與複數個預設腸音波形是否匹配，若音訊的波形與任一預設腸音波形大致匹配，則音訊應為腸音(如：腸蠕音)，行動裝置120計算每單位時間內音訊的發音次數。 When in use, the sound sensor 114 senses audio. The processor 116 transmits the audio to the mobile device 120 through the communication device 112, so that the mobile device 120 determines whether the audio is bowel sound; for example, the mobile device 120 compares whether the waveform of the audio matches a plurality of preset bowel sound waveforms. The waveform of is roughly matched with any preset bowel sound waveform, and the audio should be bowel sound (eg, bowel sound), and the mobile device 120 calculates the number of sound pronunciations per unit time.

為了對上述腹部聲音監測裝置110的聲音感測器114做進一步闡述，請同時參照第1~2圖，第2圖是依照本發明一實施例之一種腹部聲音監測裝置114的局部示意圖。如第2圖所示，聲音感測器114為麥克風陣列200以對應於複數個腹部區域，麥克風陣列200所感測的音訊包含複數個腹部區域音訊。麥克風陣列200固定於連接部件210，連接部件210可為綁帶或其他穿戴式部件，以舒適度為主，能盡量減少貼身衣物上的裝置大小。 In order to further elaborate on the sound sensor 114 of the abdomen sound monitoring device 110 described above, please also refer to FIGS. 1-2. FIG. 2 is a partial schematic diagram of an abdomen sound monitoring device 114 according to an embodiment of the present invention. As shown in FIG. 2, the sound sensor 114 is a microphone array 200 corresponding to a plurality of abdomen regions, and the audio sensed by the microphone array 200 includes a plurality of abdomen region audio. The microphone array 200 is fixed to the connecting member 210. The connecting member 210 may be a strap or other wearable parts, mainly for comfort, and can minimize the size of the device on the personal clothing.

舉例而言，麥克風陣列200具有九個麥克風201呈九宮格排列以對應於九個腹部區域(如：上腹、中腹、下 腹、右季肋部、右側腹、右骼窩、左季肋部、左側腹、左骼窩)，麥克風陣列200所感測的音訊包含九個腹部區域音訊(如：上腹音訊、中腹音訊、下腹音訊、右季肋部音訊、右側腹音訊、右骼窩音訊、左季肋部音訊、左側腹音訊、左骼窩音訊)。 For example, the microphone array 200 has nine microphones 201 arranged in a nine-grid grid to correspond to nine abdominal regions (eg, upper abdomen, middle abdomen, and lower abdomen) Abdomen, right quarter rib, right side abdomen, right iliac fossa, left quarter rib, left abdomen, left iliac fossa), the audio sensed by the microphone array 200 includes nine abdominal region audios (eg, upper abdominal audio, middle abdominal audio, Lower abdomen audio, right quarter rib audio, right abdomen audio, right iliac fossa audio, left quarter rib audio, left abdomen audio, left iliac fossa audio).

當每單位時間內複數個腹部區域音訊中至少一者的發音次數未落於預定範圍時，行動裝置120呈現複數個腹部區域音訊中至少該者所對應的腹部區域的異常信息。 When the number of pronunciations of at least one of the plurality of abdominal region audios per unit time does not fall within a predetermined range, the mobile device 120 presents abnormal information of at least one of the abdominal regions corresponding to the plurality of abdominal region audios.

舉例而言，預定範圍可為腹音每分鐘約34次至約5次之間。若某一腹部區域的腸音(如：上腹音訊)每分鐘在大約34次至大約5次之間，代表該腹部區域(如：上腹)的腸道正常，行動裝置120呈現該腹部區域(如：上腹)的正常信息。 For example, the predetermined range may be between about 34 times and about 5 times per minute. If the bowel sounds of a certain abdominal area (such as upper abdominal audio) are between about 34 and about 5 times per minute, it means that the intestinal tract of the abdominal area (such as upper abdominal) is normal, and the mobile device 120 presents the abdominal area (Eg: upper abdomen) normal information.

若某一腹部區域的腸音(如：中腹音訊)每分鐘超過34次，代表該腹部區域(如：中腹)的腸道活躍，行動裝置120呈現該腹部區域(如：中腹)的異常活躍信息。 If the bowel sounds of a certain abdominal area (eg, mid-abdominal audio) exceed 34 times per minute, the intestinal tract representing the abdominal area (eg, mid-abdomen) is active, and the mobile device 120 presents abnormal activity information of the abdominal area (eg: mid-abdomen) .

若某一腹部區域的腸音(如：右骼窩音訊)每分鐘低於5次但大於0次，代表該腹部區域(如：右骼窩)的腸道活動低迷，行動裝置120呈現該腹部區域(如：右骼窩腹)的異常低迷信息。 If the bowel sounds of a certain abdominal area (eg, right iliac fossa) are less than 5 times per minute but greater than 0, it means that the intestinal activity of the abdominal area (eg: right iliac fossa) is low, and the mobile device 120 presents the abdomen Abnormal downturn information in areas (eg, right iliac fossa).

若某一腹部區域的腸音(如：下腹音訊)每分鐘為0次，代表該腹部區域(如：下腹)的腸道無活動，行動裝置120呈現該腹部區域(如：下腹)的異常無活動信息。 If the bowel sounds of a certain abdomen area (eg, lower abdomen audio) are 0 times per minute, it means that there is no movement of the bowel in the abdomen area (eg: lower abdomen), and the mobile device 120 shows that there is no abnormality Event information.

另一方面，伺服器130自行動裝置120接收音 訊，並透過卷積神經網路分析音訊以得出分析結果。在本發明的一實施例中，伺服器130對音訊轉換成音訊圖像(如：波形圖、聲紋圖、頻譜圖…等)，並對音訊圖像進行卷積運算提取聲音特徵，進而基於聲音特徵以建立類神經模型，分析結果包含類神經模型。 On the other hand, the server 130 receives audio from the mobile device 120 And analyze the audio through the convolutional neural network to get the analysis results. In an embodiment of the present invention, the server 130 converts the audio into an audio image (such as: waveform, voiceprint, spectrogram, etc.), and performs a convolution operation on the audio image to extract sound features, and then based on The sound features are used to build a neural-like model, and the analysis results include a neural-like model.

當分析結果符合至少一預設條件(如：病症條件)時，伺服器130推送通知給行動裝置120。舉例而言，上述類神經模型為一聲紋模型，若該聲紋模型符合預設腸躁症聲紋模型，分析結果符合腸躁症病症條件，伺服器130推送一建議就診通知給行動裝置120，以提醒使用者。 When the analysis result meets at least one predetermined condition (eg, a condition of a condition), the server 130 pushes the notification to the mobile device 120. For example, the above neural model is a voiceprint model. If the voiceprint model meets the preset bowel disorder voiceprint model, and the analysis result meets the conditions of bowel disorder, the server 130 pushes a recommended medical notice to the mobile device 120 To remind users.

綜上所述，本發明之技術方案與現有技術相比具有明顯的優點和有益效果。本發明的技術方案設計一個位於腹部上的聲音監測儀器，用於監測腸蠕音，並可透過無線傳輸至雲端儲存與分析。 In summary, the technical solution of the present invention has obvious advantages and beneficial effects compared with the prior art. The technical solution of the present invention designs a sound monitoring instrument located on the abdomen for monitoring intestinal peristaltic sound, and can be wirelessly transmitted to the cloud for storage and analysis.

雖然本發明已以實施方式揭露如上，然其並非用以限定本發明，任何熟習此技藝者，在不脫離本發明之精神和範圍內，當可作各種之更動與潤飾，因此本發明之保護範圍當視後附之申請專利範圍所界定者為準。 Although the present invention has been disclosed as above in the embodiments, it is not intended to limit the present invention. Anyone who is familiar with this skill can make various modifications and retouching without departing from the spirit and scope of the present invention, so the protection of the present invention The scope shall be deemed as defined by the scope of the attached patent application.

110‧‧‧腹部聲音監測裝置 110‧‧‧ Abdominal sound monitoring device

112‧‧‧通訊裝置 112‧‧‧Communication device

114‧‧‧聲音感測器 114‧‧‧Sound sensor

116‧‧‧處理器 116‧‧‧ processor

120‧‧‧行動裝置 120‧‧‧Mobile device

130‧‧‧伺服器 130‧‧‧Server

Claims (8)

一種智能人體監測系統，包含：一腹部聲音監測裝置，包含：一通訊裝置；一聲音感測器，感測一音訊；以及一處理器，透過該通訊裝置，將該音訊傳送至一行動裝置，使該行動裝置判斷該音訊是否為一腸音，若是，該行動裝置計算每單位時間內該音訊的發音次數；以及一伺服器，自該行動裝置接收該音訊，並透過一卷積神經網路分析該音訊以得出一分析結果，當該分析結果符合至少一預設條件時，該伺服器推送一通知給該行動裝置。 An intelligent human body monitoring system includes: an abdomen sound monitoring device, including: a communication device; a sound sensor to sense an audio; and a processor to transmit the audio to a mobile device through the communication device, Causing the mobile device to determine whether the audio is a bowel sound, and if so, the mobile device counts the number of pronunciations of the audio per unit time; and a server that receives the audio from the mobile device and passes a convolutional neural network Analyze the audio to obtain an analysis result. When the analysis result meets at least one predetermined condition, the server pushes a notification to the mobile device. 如請求項1所述之智能人體監測系統，其中該聲音感測器為一麥克風陣列以對應於複數個腹部區域，該音訊包含複數個腹部區域音訊。 The intelligent human body monitoring system according to claim 1, wherein the sound sensor is a microphone array corresponding to a plurality of abdomen regions, and the audio includes a plurality of abdomen region audio. 如請求項2所述之智能人體監測系統，其中當每單位時間內該些腹部區域音訊中至少一者的發音次數未落於一預定範圍時，該行動裝置呈現該些腹部區域音訊中至少該者所對應的腹部區域的異常信息。 The intelligent human body monitoring system according to claim 2, wherein when the number of pronunciations of at least one of the abdominal area audios does not fall within a predetermined range per unit time, the mobile device presents at least the Abnormal information of the abdominal region corresponding to the person. 如請求項1所述之智能人體監測系統，其中該伺服器對該音訊轉換成一音訊圖像，並對該音訊圖像進 行一卷積運算提取聲音特徵，進而基於該聲音特徵以建立一類神經模型，該分析結果包含該類神經模型。 The intelligent human body monitoring system according to claim 1, wherein the server converts the audio into an audio image, and enters the audio image Perform a convolution operation to extract sound features, and then build a neural model based on the sound features. The analysis results include the neural model. 一種腹部聲音監測裝置，包含：一通訊裝置；一聲音感測器，感測一音訊；以及一處理器，透過該通訊裝置，將該音訊傳送至一行動裝置，使該行動裝置判斷該音訊是否為一腸音，若是，該行動裝置計算每單位時間內該音訊的發音次數，其中該行動裝置發送該音訊至一伺服器，該伺服器透過一卷積神經網路分析該音訊以得出一分析結果，當該分析結果符合至少一預設條件時，該伺服器推送一通知給該行動裝置。 An abdomen sound monitoring device, including: a communication device; a sound sensor to sense an audio; and a processor to transmit the audio to a mobile device through the communication device to enable the mobile device to determine whether the audio is It is a bowel sound. If it is, the mobile device counts the number of pronunciations of the audio per unit time. The mobile device sends the audio to a server. The server analyzes the audio through a convolutional neural network to obtain a Analysis result. When the analysis result meets at least one predetermined condition, the server pushes a notification to the mobile device. 如請求項5所述之腹部聲音監測裝置，其中該聲音感測器為一麥克風陣列以對應於複數個腹部區域，該音訊包含複數個腹部區域音訊。 The abdomen sound monitoring device according to claim 5, wherein the sound sensor is a microphone array corresponding to a plurality of abdomen regions, and the audio includes a plurality of abdomen region audio. 如請求項6所述之腹部聲音監測裝置，其中當每單位時間內該些腹部區域音訊中至少一者的發音次數未落於一預定範圍時，該行動裝置呈現該些腹部區域音訊中至少該者所對應的腹部區域的異常信息。 The abdomen sound monitoring device according to claim 6, wherein when the number of pronunciations of at least one of the abdomen area audios per unit time does not fall within a predetermined range, the mobile device presents at least the abdomen area audio Abnormal information of the abdominal region corresponding to the person. 如請求項5所述之腹部聲音監測裝置，其中該伺服器對該音訊轉換成一音訊圖像，並對該音訊圖像進 行一卷積運算提取聲音特徵，進而基於該聲音特徵以建立一類神經模型，該分析結果包含該類神經模型。 The abdomen sound monitoring device according to claim 5, wherein the server converts the audio into an audio image, and enters the audio image Perform a convolution operation to extract sound features, and then build a neural model based on the sound features. The analysis results include the neural model.
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