TWM446374U - Coughs recording device - Google Patents

Coughs recording device Download PDF

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TWM446374U
TWM446374U TW101211732U TW101211732U TWM446374U TW M446374 U TWM446374 U TW M446374U TW 101211732 U TW101211732 U TW 101211732U TW 101211732 U TW101211732 U TW 101211732U TW M446374 U TWM446374 U TW M446374U
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Taiwan
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cough
vibration
signal
sound
recording device
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TW101211732U
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Chinese (zh)
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Ke-Huan Lv
Jia-Yuan Bai
zi-qing Wu
Ming-Ren Zhou
Yi-Chang Li
Jian-Nian Huang
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Chung Shan Medical University Hospital
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Priority to TW101211732U priority Critical patent/TWM446374U/en
Publication of TWM446374U publication Critical patent/TWM446374U/en

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Description

咳嗽記錄裝置Cough recording device

本創作係有關一種咳嗽記錄裝置,尤指一種兼具可精確記錄咳嗽次數、可精確記錄每一咳嗽的時間與間隔時間、可精確記錄聲帶振動之幅度與整體結構簡單等功效之咳嗽記錄裝置。The present invention relates to a cough recording device, and more particularly to a cough recording device which can accurately record the number of coughs, accurately record the time and interval of each cough, accurately record the amplitude of the vocal cord vibration, and has a simple overall structure.

近年來,台灣因經濟進步、醫藥發達、社會型態的改變,人口老化程度已直逼歐美先進國家,少子化帶來之趨勢更加重人口老化問題,繼之而起之老人生活照顧、醫療服務、長期看護等問題,已從個人、家庭問題演變成為社會問題,高齡化社會已成為世界各國無法避免之趨勢。In recent years, due to economic progress, advanced medicine, and changes in social patterns, the age of the population has been forced to become an advanced country in Europe and the United States. The trend brought about by the declining birth of the population has become more serious, and the elderly have taken care of themselves and medical services. Problems such as long-term care have evolved from personal and family issues to social problems. The aging society has become an unavoidable trend in the world.

為了即時掌握長期看護之病患的生理狀況,進而提醒看護人員隨時掌握病患之健康情形,目前住院病患大多利用護理人員定期巡房或透過視訊系統來監測病患之狀態。如此固然有助掌握病患之病情,但此舉除增加醫護人員的巡視負擔,亦打擾病患之隱私權。In order to instantly grasp the physiological condition of patients with long-term care, and remind the caregivers to keep abreast of the health of the patients, most of the hospitalized patients use the nursing staff to regularly patrol the room or monitor the state of the patient through the video system. This is of course helpful in understanding the condition of the patient, but this will not only increase the burden of medical staff, but also disturb the privacy of the patient.

以咳嗽為例,可以算是常見於老人的呼吸道病症,嚴重時甚至可能造成無法呼吸的嚴重情事,目前市面上固然已有相關之咳嗽自動檢測追縱之裝置,但是結構複雜,操作不易,原則上無法普及,而造福相關患者。Taking cough as an example, it can be regarded as a common respiratory disease in the elderly. In severe cases, it may even cause serious illness that cannot be breathed. At present, there is a device for automatic detection of cough in the market, but the structure is complicated and the operation is not easy. In principle, in principle, Unable to spread, and benefit related patients.

有鑑於此,所以研發出可解決上述習用缺點之技術。In view of this, a technique for solving the above disadvantages has been developed.

本創作之目的,在於提供一種咳嗽記錄裝置,其兼具可精確記錄咳嗽次數、可精確記錄每一咳嗽的時間與間隔時間、可精確記錄聲帶振動之幅度與整體結構簡單等優點。特別是,本創作所欲解決之問題包括:目前市面上尚無結構簡單並可供精確判讀之咳嗽檢測裝置等問題。The purpose of the present invention is to provide a cough recording device which has the advantages of accurately recording the number of coughs, accurately recording the time and interval of each cough, accurately recording the amplitude of the vocal cord vibration, and simple overall structure. In particular, the problems to be solved by this creative work include: there are currently no problems in the market for cough detection devices that are simple in structure and can be accurately interpreted.

解決上述問題之技術手段係提供一種咳嗽記錄裝置,其包括:一聲音擷取器,係用以連續採集一音源,而獲得至少一聲波訊號,並傳送出去;一振動感知器,係用以連續採集一咳嗽振動部之振動變化,而獲得至少一振動訊號,並傳送出去;一處理裝置,係用以接收該至少一聲波訊號及該至少一振動訊號,且將該聲波訊號轉換成一音量訊號;當該振動訊號之振幅大於一參考標準值時,記錄此幅振之一起始時間點及一結束時間點,並記錄該起始時間點至該結束時間點間之該聲波訊號與該音量訊號,前述記錄被判讀為一次咳嗽事件,其餘皆為非咳嗽事件,如此構成可對該待測者進行追縱並判讀咳嗽之裝置。The technical means for solving the above problems is to provide a cough recording device, comprising: a sound picker for continuously collecting a sound source to obtain at least one sound wave signal and transmitting it; and a vibration sensor for continuous Collecting a vibration change of a coughing vibration portion to obtain at least one vibration signal and transmitting it; a processing device for receiving the at least one sound wave signal and the at least one vibration signal, and converting the sound wave signal into a volume signal; When the amplitude of the vibration signal is greater than a reference standard value, recording a start time point and an end time point of the amplitude vibration, and recording the sound wave signal and the volume signal between the start time point and the end time point, The aforementioned record was interpreted as a coughing event, and the rest were non-cough events, thus constituting a device that can trace the subject and cough.

本創作之上述目的與優點,不難從下述所選用實施例之詳細說明與附圖中,獲得深入瞭解。The above objects and advantages of the present invention will be readily understood from the following detailed description of the embodiments and the accompanying drawings.

茲以下列實施例並配合圖式詳細說明本創作於後:The following examples are used in conjunction with the drawings to illustrate the creation in detail:

參閱第一圖,本創作係為一種咳嗽記錄裝置,其包括:一聲音擷取器10,係用以連續採集一音源92,而獲得至少一聲波訊號A(參閱第三A圖),並傳送出去;一振動感知器20,係用以連續採集一咳嗽振動部911之振動變化,而獲得至少一振動訊號B(參閱第三C圖),並傳送出去;一處理裝置30,係用以接收該至少一聲波訊號A及該至少一振動訊號B,且將該聲波訊號A轉換成一音量訊號A1(參閱第三B圖);當該振動訊號B之振幅大於一參考標準值L(參閱第四C圖)時,記錄此幅振之一起始時間點T1及一結束時間點T2,並記錄該起始時間點T1至該結束時間點T2間之該聲波訊號A與該音量訊號A1,前述記錄被判讀為一次咳嗽事件,其餘皆為非咳嗽事件,如此構成可對該待測者91進行追縱並判讀咳嗽之裝置。Referring to the first figure, the present invention is a cough recording device comprising: a sound extractor 10 for continuously acquiring a sound source 92 to obtain at least one sound wave signal A (see FIG. 3A) and transmitting A vibration sensor 20 is configured to continuously acquire a vibration change of a cough vibration portion 911 to obtain at least one vibration signal B (refer to FIG. 3C) and transmit it; a processing device 30 is configured to receive The at least one acoustic signal A and the at least one vibration signal B, and converting the acoustic signal A into a volume signal A1 (refer to FIG. 3B); when the amplitude of the vibration signal B is greater than a reference standard value L (see the fourth In the case of C), one start time point T1 and one end time point T2 of the amplitude are recorded, and the sound wave signal A and the volume signal A1 between the start time point T1 and the end time point T2 are recorded, the foregoing record It was judged as a coughing event, and the rest were non-coughing events. This constitutes a device that can track the person to be tested 91 and interpret cough.

實務上,該聲音擷取器10可為耳掛式麥克風,其係設於一待測者91身上,原則上愈接近嘴部收音效果愈佳。In practice, the sound picker 10 can be an ear-mounted microphone that is attached to a person to be tested 91. In principle, the closer to the mouth, the better the sound is collected.

該咳嗽振動部911係位於該待測者91身上,原則上為該待測者91之喉部(參閱第一圖)、胸部(參閱第二圖)等呼吸氣管分佈之位置為佳,本案係舉貼附於該待測者91之喉部附近作說明,原則上愈接近聲帶效果愈佳。The coughing vibration portion 911 is located on the test subject 91. In principle, the position of the respiratory tract of the throat of the test subject 91 (see the first figure) and the chest (refer to the second figure) is preferred. Attached to the throat of the test subject 91 for explanation, in principle, the closer to the vocal cord effect, the better.

該處理裝置30係設一顯示裝置31,用以透過曲線圖顯示該聲波訊號A、該音量訊號A1、該振動訊號B與該參考標準 值L。The processing device 30 is provided with a display device 31 for displaying the sound wave signal A, the volume signal A1, the vibration signal B and the reference standard through a graph. The value L.

該音源92係包括外界之雜音、該待測者91發出之各種聲音(包含咳嗽、清喉嚨…)。The sound source 92 includes external noise, various sounds emitted by the test subject 91 (including coughing, clearing the throat...).

該振動訊號B係包括該待測者91其喉部發出之各種聲音(包含咳嗽、清喉嚨…)。The vibration signal B includes various sounds (including cough, clear throat, etc.) emitted by the test subject 91 in the throat.

在此要先說明的部份是,該聲音擷取器10即使設於接近該待測者91之嘴部處,但所擷取之該音源92仍包括該待測者91發出之聲音(包含咳嗽、清喉嚨…。)及外界雜音(例如背景音樂、廣播、空氣雜訊…。),而概呈一雜訊區(參閱第五圖,以未包括該振動訊號B之雜訊區P11、P12為判讀標準)。故需以該聲波訊號A、該音量訊號A1及該振動訊號B兼具才構成一人體發訊區(以包括該振動訊號B之人體發訊區P21、P22與P23為判讀標準)。The part to be explained here is that the sound extractor 10 is located near the mouth of the test subject 91, but the sound source 92 captured still includes the sound emitted by the test subject 91 (including Coughing, clearing throat... and external noise (such as background music, radio, air noise...), and a noise zone (see Figure 5, for the noise zone P11 that does not include the vibration signal B, P12 is the interpretation standard). Therefore, the sonic signal A, the volume signal A1 and the vibration signal B are combined to form a human body transmitting area (the human body transmitting areas P21, P22 and P23 including the vibration signal B are used as the interpretation standard).

關於本案之實際操作過程,舉例來講,針對某一住院觀察之待測者91,從早上9點記錄至下午6點,中間連續採集之聲音包括外界雜音(例如背景音樂、廣播、空氣雜訊…。)、談話、咳嗽、清喉嚨、睡眠之呼吸聲等。Regarding the actual operation process of this case, for example, the test subject 91 for a certain hospital observation is recorded from 9:00 am to 6:00 pm, and the continuous continuous collection of sounds includes external noise (such as background music, radio, air noise). ....), talk, cough, clear throat, breathing sounds of sleep, etc.

因為每個人談話、咳嗽、清喉嚨、睡眠之呼吸聲或其他發聲(例如打哈欠、呻吟…。),所造成聲帶振動之幅度均不同(原則上是以咳嗽時所產生之振動相對較大),故正式檢測前,需先記錄屬於該待測者91之聲帶振動幅度,舉例來講,分別作打哈欠(參閱第三A、第三B及第三C圖,原則上講,打哈欠 造成之聲帶振動幅度較小)與用力試咳幾聲(參閱第四A、第四B及第四C圖,原則上來講,用力試咳造成之聲帶振動幅度較大),除觀察其振動訊號B之振幅變化及音量訊號A1之變化,並由此設定該參考標準值L。Because everyone talks, coughs, clears throats, breaths of sleep, or other vocalizations (such as yawning, sputum...), the amplitude of the vocal cord vibrations is different (in principle, the vibration generated by coughing is relatively large) Therefore, before the formal inspection, it is necessary to record the vibration amplitude of the vocal cord belonging to the test subject 91. For example, yawning separately (refer to the third A, third B and third C pictures, in principle, yawning Cause the vocal cords to have a small amplitude of vibration) and try hard to cough a few times (see the fourth, fourth, and fourth C diagrams. In principle, the vocal cords caused by the forceful cough have a large amplitude of vibration), except for observing the vibration signal. The amplitude change of B and the change of the volume signal A1, and thus the reference standard value L is set.

檢測過程由該處理裝置30全程自動記錄,舉凡一般談話、小咳、小力清喉嚨、睡眠之呼吸聲(聲音較小)等狀況造成喉部振動產生之振動訊號B,其振幅低於該參考標準值L,不特別標記。若是大聲喊叫、大咳、大力清喉嚨、睡眠之打呼聲(聲音較大)等狀況造成喉部振動產生之振動訊號B,其振幅大於該參考標準值L時,則做特別標記,依前述原則,逐一特別標記下列數據:[a]當產生振動訊號B時,標記相對應之聲波訊號A與音量訊號A1;[b]特別標記振動訊號B從大於到小於該參考標準值L之起始時間點T1(例如10點18分21秒)及結束時間點T2(例如10點18分23秒);且其係被定義為該待測者91發生一次咳嗽事件。The detection process is automatically recorded by the processing device 30, and the vibration signal B generated by the throat vibration is caused by the general conversation, the small cough, the small force clear throat, the sleep breathing sound (small sound), and the amplitude thereof is lower than the reference. The standard value L is not specially marked. If the vibration signal B generated by the throat vibration caused by loud screaming, big cough, strong throat clearing, and loud snoring (sound louder) is greater than the reference standard value L, special marking is performed. In principle, the following data are specifically marked one by one: [a] when the vibration signal B is generated, the corresponding acoustic signal A and the volume signal A1 are marked; [b] the special marking vibration signal B is from greater than to less than the reference standard value L. The time point T1 (for example, 10:18:21) and the end time point T2 (for example, 10:18:23); and it is defined as the occurrence of a coughing event by the subject 91.

因此,每一次之咳嗽事件均有一段聲波訊號(例如一電子檔)A、一段音量訊號(例如另一電子檔)A1,與介於一起始時間點T1與一結束時間點T2之間的振動訊號(例如再另一電子檔)B。Therefore, each coughing event has a sonic signal (for example, an electronic file) A, a volume signal (for example, another electronic file) A1, and a vibration between a starting time point T1 and an ending time point T2. Signal (for example, another electronic file) B.

最後,獲得在檢測時間內所有之聲音相關記錄,供醫護人 員作後續判讀。判讀方式如下:參閱第五圖,假設在檢測時間內,共產生五個聲波訊號A(在此舉五個為例作說明,實際上可能為數百個或是更多。),則可先以人工過濾方式聽所有之目標事件之聲波訊號,判斷是否為咳嗽聲,若不是,則刪除或標記。過濾後之結果即為該使用者91之咳嗽記錄,醫生可以更精確的瞭解每次咳嗽之發生時間、持續多久、咳嗽的聲音(及型態),而能進一步研判或處理。這樣的方式固然準確但較耗時。Finally, get all the sound related records in the test time for the medical staff The staff made a follow-up interpretation. The method of interpretation is as follows: Referring to the fifth figure, it is assumed that a total of five acoustic signals A are generated during the detection time (in the case of five examples, actually hundreds or more), Listen to all the sound waves of the target event by manual filtering to determine whether it is coughing. If not, delete or mark it. The filtered result is the cough record of the user 91. The doctor can more accurately understand the time of each cough, how long it lasts, and the sound (and type) of the cough, which can be further studied or treated. This approach is accurate but time consuming.

當該聲波訊號A數量為上百或是更多時,可由該聲波訊號A是否對應到振動訊號B為要件,快速判讀其是否為人體發訊區(P21、P22與P23),再進一步由該振動訊號B是否大於該參考標準值L,判斷該待測者91咳了幾次,如此有提高醫療效果之功效。When the number of the acoustic signal A is one hundred or more, whether the acoustic signal A corresponds to the vibration signal B or not is quickly determined whether it is a human body signaling area (P21, P22, and P23), and further Whether the vibration signal B is greater than the reference standard value L, and determining that the test subject 91 has coughed several times, has the effect of improving medical effects.

以第五圖之五個聲波訊號A為例:Take the five acoustic signals A in the fifth picture as an example:

第一個聲波訊號A被歸納為人體發訊區P21,因該振動感知器20於第一點X1時開始產生振幅(有振幅代表該待測者91之聲帶有振動),其第二點X2至第三點X3時呈振幅高峰,並於第四點X4時結束振幅,但由於振幅未達該參考標準值L,未被判讀為咳嗽。The first acoustic signal A is classified into the human body signal area P21, because the vibration sensor 20 starts to generate amplitude at the first point X1 (the amplitude represents the sound of the test subject 91 with vibration), and the second point X2 The amplitude peaked at the third point X3 and ended at the fourth point X4, but since the amplitude did not reach the reference standard value L, it was not interpreted as a cough.

第二個聲波訊號A被歸納為雜訊區P11,因該振動感知器20完全未產生振幅,被判讀為雜音(包括講話以及外界雜音)。The second acoustic signal A is summarized as the noise zone P11, and the vibration sensor 20 is judged to be murmur (including speech and external noise) because it does not generate amplitude at all.

第三個聲波訊號A被歸納為人體發訊區P22,因該振動感 知器20於第五點X5至第六點X6之間產生振幅(有振幅代表該待測者91之聲帶有振動),且於起始時間點T1至結束時間點T2之間高於該參考標準值L,被判讀為咳嗽。並於起始時間點T1至結束時間點T2之間擷取出一第一咳嗽波形W1。The third acoustic signal A is summarized as the human body signal zone P22 due to the vibration The finder 20 generates an amplitude between the fifth point X5 and the sixth point X6 (the amplitude represents the sound of the test subject 91 with vibration), and is higher than the reference between the start time point T1 and the end time point T2. The standard value L is interpreted as a cough. And a first coughing waveform W1 is taken between the starting time point T1 and the ending time point T2.

第四個聲波訊號A被歸納為雜訊區P12,因該振動感知器20完全未產生振幅,被判讀為雜音(包括講話以及外界雜音)。The fourth acoustic signal A is summarized as the noise zone P12, and the vibration sensor 20 is judged to be murmur (including speech and external noise) because the amplitude is not generated at all.

第五個聲波訊號A被歸納為人體發訊區P23,該振動感知器20於第七點X7至第八點X8時開始產生振幅,且於起始時間點T1至結束時間點T2之間高於該參考標準值L,被判讀為咳嗽。並於起始時間點T1至結束時間點T2之間擷取出一第二咳嗽波形W2。The fifth acoustic wave signal A is summarized as a human body signaling area P23, and the vibration sensor 20 starts to generate amplitude at the seventh point X7 to the eighth point X8, and is high between the start time point T1 and the end time point T2. At the reference standard value L, it was judged as cough. And a second coughing waveform W2 is taken between the starting time point T1 and the ending time point T2.

雖然,較小的咳嗽聲有可能被忽略,但這影響較小。且本案只進行記錄之部份,後續之過濾部份不在本案之範圍內。Although a smaller cough may be ignored, it has less effect. And this case only records the part, the subsequent filtering part is not within the scope of this case.

當然,後續之過濾部份是有可能採用電腦進行聲紋分析,來判別是否為咳嗽,然而,由於不同人之咳嗽聲音差異很大,每個人之咳嗽也呈不同型態,故以電腦進行聲紋分析之難度頗高,目前採用人工過濾方式即可。Of course, the subsequent filtering part is possible to use a computer for voiceprint analysis to determine whether it is a cough. However, because the coughing sounds of different people are very different, each person's cough is also different. The analysis of the grain is quite difficult, and artificial filtering is currently available.

本創作之優點及功效可歸納如下:The advantages and functions of this creation can be summarized as follows:

[1]可精確記錄咳嗽次數。雖然咳嗽次數可作為判斷病情的條件之一,但是,不太可能有人會去記得自己在多長時間內咳嗽幾次,而本創作則可在檢測時間內,自動精確的記錄每一待測者之咳嗽次數,提高醫療診療的準確度。[1] can accurately record the number of coughs. Although the number of coughs can be used as one of the conditions for judging the condition, it is unlikely that someone will remember how many times they cough for a long time, and this creation can automatically and accurately record each person to be tested within the detection time. The number of coughs increases the accuracy of medical treatment.

[2]可精確記錄每一咳嗽的時間與間隔時間。咳嗽可能是短時間(例如1秒)的輕咳、長時間的重咳(例如3秒)、短時間內持續輕咳或是間隔一段時間後再連續重咳,時間點各有不同,本創作可精確記錄由咳嗽造成之聲帶振動的起始時間點與結束時間點,而可供醫療上精確的診斷。[2] Accurately record the time and interval of each cough. Cough may be a short cough (for example, 1 second), a long cough (for example, 3 seconds), a short cough in a short period of time, or a continuous cough after a period of time. The time points are different. It can accurately record the start time and end time of the vibration of the vocal cord caused by cough, and can be used for medically accurate diagnosis.

[3]可精確記錄聲帶振動之幅度。當有痰咳不出來時,人體反應可能會用力的想把痰咳出來,此時也就提高了聲帶的振動幅度,而本創作可呈現聲帶振動之幅度,可供醫療上更精確之判讀。[3] Accurately record the amplitude of the vocal cord vibration. When there is a cough, the human body reaction may forcefully cough up, and this will increase the vibration amplitude of the vocal cords. This creation can show the amplitude of the vocal cord vibration, which can be interpreted more accurately in medical treatment.

[4]整體結構簡單。本創作主要是設置聲音擷取器(即麥克風)與振動感知器(公知振動感測結構相當多,不需再開發設計)。皆為公知結構,至於處理裝置則可直接應用公知電路(只是不同信號之轉換,再輸出至顯示裝置)結構,幾乎不用再開發。故,整體結構簡單。[4] The overall structure is simple. This creation is mainly to set up a sound picker (ie microphone) and a vibration sensor (a known vibration sensing structure is quite large, no need to develop the design). All of them are well-known structures. As for the processing device, the structure of the well-known circuit (only the conversion of different signals and then output to the display device) can be directly applied, and almost no further development is required. Therefore, the overall structure is simple.

以上僅是藉由較佳實施例詳細說明本創作,對於該實施例所做的任何簡單修改與變化,皆不脫離本創作之精神與範圍。The above is only a detailed description of the present invention by way of a preferred embodiment, and any modifications and variations of the embodiments are possible without departing from the spirit and scope of the present invention.

10‧‧‧聲音擷取器10‧‧‧Sound extractor

20‧‧‧振動感知器20‧‧‧Vibration Sensor

30‧‧‧處理裝置30‧‧‧Processing device

31‧‧‧顯示裝置31‧‧‧ display device

91‧‧‧待測者91‧‧‧Testees

911‧‧‧咳嗽振動部911‧‧‧Cough and vibration department

92‧‧‧音源92‧‧‧ source

A‧‧‧聲波訊號A‧‧‧Sonic signal

A1‧‧‧音量訊號A1‧‧‧Volume signal

B‧‧‧振動訊號B‧‧‧Vibration signal

L‧‧‧參考標準值L‧‧‧ reference standard value

T1‧‧‧起始時間點T1‧‧‧ starting point

T2‧‧‧結束時間點End of T2‧‧‧

P11、P12‧‧‧雜訊區P11, P12‧‧‧ noise area

P21、P22、P23‧‧‧人體發訊區P21, P22, P23‧‧‧ human body communication area

X1‧‧‧第一點X1‧‧‧ first point

X2‧‧‧第二點X2‧‧‧ second point

X3‧‧‧第三點X3‧‧‧ third point

X4‧‧‧第四點X4‧‧‧ fourth point

X5‧‧‧第五點X5‧‧‧ fifth point

X6‧‧‧第六點X6‧‧‧ sixth point

X7‧‧‧第七點X7‧‧‧ seventh point

X8‧‧‧第八點X8‧‧‧ eighth point

W1‧‧‧第一咳嗽波形W1‧‧‧ First cough waveform

W2‧‧‧第二咳嗽波形W2‧‧‧ second cough waveform

第一圖係本創作之應用於喉部之示意圖The first picture is a schematic diagram of the creation of the throat

第二圖係本創作之應用於胸部之示意圖The second picture is a schematic diagram of the application to the chest.

第三A、第三B及第三C圖係分別為本創作之感測待測者打哈欠之聲波訊號、音量訊號、振動訊號與參考標準值之曲線圖The third A, third B and third C pictures are the curves of the sound wave signal, the volume signal, the vibration signal and the reference standard value of the sensation of the test subject.

第四A、第四B及第四C圖係分別為本創作之感測待測者用力試咳之聲波訊號、音量訊號、振動訊號與參考標準值之曲線圖The fourth A, fourth B and fourth C pictures are the curves of the sound wave signal, the volume signal, the vibration signal and the reference standard value of the test for the test subject.

第五圖係為本創作對待測者進行一預定時間內之咳嗽檢測擷取之聲波訊號、音量訊號、振動訊號與參考標準值之曲線圖The fifth picture is a graph of the sound wave signal, volume signal, vibration signal and reference standard value obtained by the cough test for a predetermined time period.

10‧‧‧聲音擷取器10‧‧‧Sound extractor

20‧‧‧振動感知器20‧‧‧Vibration Sensor

30‧‧‧處理裝置30‧‧‧Processing device

31‧‧‧顯示裝置31‧‧‧ display device

91‧‧‧待測者91‧‧‧Testees

911‧‧‧咳嗽振動部911‧‧‧Cough and vibration department

92‧‧‧音源92‧‧‧ source

A‧‧‧聲波訊號A‧‧‧Sonic signal

A1‧‧‧音量訊號A1‧‧‧Volume signal

B‧‧‧振動訊號B‧‧‧Vibration signal

L‧‧‧參考標準值L‧‧‧ reference standard value

Claims (6)

一種咳嗽記錄裝置,係包括:一聲音擷取器,係用以連續採集一音源,而獲得至少一聲波訊號,並傳送出去;一振動感知器,係用以連續採集一咳嗽振動部之振動變化,而獲得至少一振動訊號,並傳送出去;一處理裝置,係用以接收該至少一聲波訊號及該至少一振動訊號,且將該聲波訊號轉換成一音量訊號;當該振動訊號之振幅大於一參考標準值時,記錄此幅振之一起始時間點及一結束時間點,並記錄該起始時間點至該結束時間點間之該聲波訊號與該音量訊號,前述記錄被判讀為一次咳嗽事件,其餘皆為非咳嗽事件,如此構成可對該待測者進行追縱並判讀咳嗽之裝置。A cough recording device includes: a sound picker for continuously collecting a sound source to obtain at least one sound wave signal and transmitting it; and a vibration sensor for continuously collecting vibration changes of a cough vibration portion Obtaining at least one vibration signal and transmitting it; a processing device is configured to receive the at least one sound wave signal and the at least one vibration signal, and convert the sound wave signal into a volume signal; when the amplitude of the vibration signal is greater than one When referring to the standard value, one start time point and one end time point of the amplitude are recorded, and the sound wave signal and the volume signal between the start time point and the end time point are recorded, and the record is read as a cough event. The rest are non-cough events, which constitute a device that can trace the person to be tested and interpret cough. 如申請專利範圍第1項所述之咳嗽記錄裝置,其中,該聲音擷取器係為耳掛式麥克風。The cough recording device according to claim 1, wherein the sound extractor is an ear-hook microphone. 如申請專利範圍第1項所述之咳嗽記錄裝置,其中,該聲音擷取器係為耳掛式麥克風,用以設於一待測者身上。The cough recording device according to the first aspect of the invention, wherein the sound extractor is an ear-hook microphone for being placed on a person to be tested. 如申請專利範圍第1項所述之咳嗽記錄裝置,其中,該咳嗽振動部係位於一待測者身上,係為該待測者之喉部、胸部,其為呼吸氣管分佈之位置。The cough recording device according to claim 1, wherein the coughing vibration portion is located on a subject to be tested, and is a throat and a chest of the subject to be tested, which is a position where the respiratory trachea is distributed. 如申請專利範圍第1項所述之咳嗽記錄裝置,其中:該咳嗽振動部係位於一待測者身上,係為該待測者之喉 部、胸部,其為呼吸氣管分佈之位置;該振動感知器係貼附於該待測者之喉部之結構。The cough recording device according to claim 1, wherein the coughing vibration portion is located on a subject to be tested, and is the throat of the subject to be tested. The part, the chest, which is the position where the respiratory tract is distributed; the vibration sensor is attached to the structure of the throat of the subject. 如申請專利範圍第1項所述之咳嗽記錄裝置,其中,該處理裝置係設一顯示裝置,用以顯示該聲波訊號、該音量訊號、該振動訊號與該參考標準值。The cough recording device of claim 1, wherein the processing device is provided with a display device for displaying the sound wave signal, the volume signal, the vibration signal and the reference standard value.
TW101211732U 2012-06-18 2012-06-18 Coughs recording device TWM446374U (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109637650A (en) * 2018-11-02 2019-04-16 河南中医药大学 A kind of cough recorder of the round-the-clock detection status of cough of Portable wearing type
CN111557664A (en) * 2020-03-23 2020-08-21 广东艾诗凯奇智能科技有限公司 Neck massager, health detection method thereof and computer storage medium
WO2022247606A1 (en) * 2021-05-25 2022-12-01 华为技术有限公司 Respiratory disease screening method and related apparatus
CN117064330A (en) * 2022-12-13 2023-11-17 上海市肺科医院 Sound signal processing method and device

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109637650A (en) * 2018-11-02 2019-04-16 河南中医药大学 A kind of cough recorder of the round-the-clock detection status of cough of Portable wearing type
CN111557664A (en) * 2020-03-23 2020-08-21 广东艾诗凯奇智能科技有限公司 Neck massager, health detection method thereof and computer storage medium
WO2022247606A1 (en) * 2021-05-25 2022-12-01 华为技术有限公司 Respiratory disease screening method and related apparatus
CN117064330A (en) * 2022-12-13 2023-11-17 上海市肺科医院 Sound signal processing method and device
CN117064330B (en) * 2022-12-13 2024-04-19 上海市肺科医院 Sound signal processing method and device

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