TWI764327B - Cloud system of non-invasive measuring blood glucose - Google Patents
Cloud system of non-invasive measuring blood glucoseInfo
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Abstract
Description
本發明係有關於一種非侵入性雲端血糖量測系統,尤其是利用手持電子裝置連結非侵入性血糖感測裝置、雲端伺服器,並由非侵入性血糖感測裝置感測使用者的感測訊號,再經由手持電子裝置傳送至雲端伺服器以計算血糖值,並藉手持電子裝置的顯示幕顯示包含血糖值的資訊以供使用者參考,不僅可隨時監測血糖的變化,而且還不需穿破皮膚採血,能避免病菌的感染而大幅提高血糖量測的安全性。 The present invention relates to a non-invasive cloud blood glucose measurement system, in particular, a handheld electronic device is used to connect a non-invasive blood glucose sensing device and a cloud server, and the non-invasive blood glucose sensing device senses the user's sensing The signal is then sent to the cloud server through the handheld electronic device to calculate the blood sugar level, and the information including the blood sugar level is displayed on the display screen of the handheld electronic device for the user's reference. Breaking the skin for blood collection can avoid bacterial infection and greatly improve the safety of blood glucose measurement.
眾所週知,血糖是指血液中的葡萄糖,一般而言,食物消化後的葡萄糖是由小腸進入血液,並被運輸到機體中的各個細胞,是細胞的主要能量來源,因此,血液中的葡萄糖含量是人體重要的生理指標,關係到細胞吸收代謝的活性。人體中血糖的濃度通常是控制在很窄的範圍內,比如800-1200毫克/升。 As we all know, blood glucose refers to the glucose in the blood. Generally speaking, the glucose after the digestion of food enters the blood from the small intestine and is transported to various cells in the body. It is the main energy source of the cells. Therefore, the glucose content in the blood is Important physiological indicators of the human body are related to the activity of cell absorption and metabolism. The concentration of blood sugar in the human body is usually controlled within a narrow range, such as 800-1200 mg/L.
血糖濃度失調會導致多種疾病,比如持續血糖濃度過高的高血糖和過低的低血糖。通常,持續性的高血糖就會引發糖尿病,這也是與血糖濃度相關的最顯著的疾病,而低血糖則會出現頭暈、注意力不能集中甚至休克等症狀。 Imbalanced blood sugar levels can lead to a variety of diseases, such as hyperglycemia that is persistently high and hypoglycemia that is too low. Usually, persistent hyperglycemia leads to diabetes, which is also the most significant disease related to blood sugar concentration, while hypoglycemia causes symptoms such as dizziness, inability to concentrate, and even shock.
對於糖尿病患者,必需經常注意血糖值,並注射胰島素以降低血糖濃度,避免血糖過高而影響身體的重要器官之健康狀態。 For diabetic patients, it is necessary to pay attention to the blood sugar level and inject insulin to reduce the blood sugar concentration, so as to avoid excessive blood sugar and affect the health of the vital organs of the body.
傳統上,血糖值的量測方式是直接利用取樣器扎破手指採血,再藉適當藥劑或檢測儀器而檢測出其中的血糖值。很明顯,扎破手指後產生的傷口會有遭到細菌感染的風險,而且在經常扎破手指下,身體免疫力也會受影響,進而降低傷口的癒合速度。 Traditionally, the measurement method of blood sugar level is to directly use a sampler to puncture the finger to collect blood, and then use appropriate drugs or testing instruments to detect the blood sugar level. Obviously, there is a risk of bacterial infection in the wound caused by puncturing the finger, and under the frequent puncturing of the finger, the body's immunity will also be affected, thereby reducing the speed of wound healing.
因此,非常需要一種創新的非侵入性雲端血糖量測系統,係利用手持電子裝置連結非侵入性血糖感測裝置、雲端伺服器,並由非侵入性血糖感測裝置感測使用者的感測訊號,再經由手持電子裝置傳送至雲端伺服器以計算血糖值,並藉手持電子裝置的顯示幕顯示包含血糖值的資訊以供使用者參考,不僅可隨時監測血糖的變化,而且還不需穿破皮膚採血,能避免病菌的感染而大幅提高血糖量測的安全性,藉以解決上述習用技術的所有問題。 Therefore, there is a great need for an innovative non-invasive cloud blood glucose measurement system, which uses a handheld electronic device to connect a non-invasive blood glucose sensing device and a cloud server, and the non-invasive blood glucose sensing device senses the user's sensing The signal is then sent to the cloud server through the handheld electronic device to calculate the blood sugar level, and the information including the blood sugar level is displayed on the display screen of the handheld electronic device for the user's reference. Blood sampling by breaking the skin can avoid bacterial infection and greatly improve the safety of blood glucose measurement, thereby solving all the problems of the above-mentioned conventional techniques.
本發明之主要目的在於提供一種非侵入性雲端血糖量測系統,包括非侵入性血糖感測裝置、手持電子裝置以及雲端伺服器,用以執行雲端血糖量測操作,其中非侵入性血糖感測裝置具無線通信功能,並產生激發訊號以供使用者接觸,激發訊號為方波訊號,且方波訊號的頻率是在100及500Hz之間,而手持電子裝置具有顯示幕,係藉執行應用程式而以非接觸方式連結至非侵入性血糖感測裝置以進行無線通信,並在顯示幕上顯示操作畫面以當作操作介面。此外,雲端伺服器是位於手持電子裝置的遠端,並經由無線網路而連結至手持電子裝置。 The main purpose of the present invention is to provide a non-invasive cloud blood glucose measurement system, including a non-invasive blood glucose sensing device, a handheld electronic device and a cloud server for performing cloud blood glucose measurement operations, wherein the non-invasive blood glucose sensing The device has a wireless communication function and generates an excitation signal for the user to contact. The excitation signal is a square wave signal, and the frequency of the square wave signal is between 100 and 500 Hz. The handheld electronic device has a display screen, which is executed by running the application program It is connected to the non-invasive blood glucose sensing device in a non-contact manner for wireless communication, and an operation screen is displayed on the display screen as an operation interface. In addition, the cloud server is located at the remote end of the handheld electronic device, and is connected to the handheld electronic device through a wireless network.
具體而言,上述的雲端血糖量測操作包含以下依序的步驟。 Specifically, the above cloud blood glucose measurement operation includes the following steps in sequence.
首先,非侵入性血糖感測裝置是在使用者接觸時,先等候預設的等待時間,再依據激發訊號以感應感測訊號,並傳送感測訊號至手持電子裝置,其中感測訊號是對應於激發訊號。 First, the non-invasive blood glucose sensing device waits for a preset waiting time when the user touches it, then senses the sensing signal according to the excitation signal, and transmits the sensing signal to the handheld electronic device, wherein the sensing signal corresponds to for the excitation signal.
然後,手持電子裝置接收並轉換感測訊號以產生血糖感測訊號,並傳送血糖感測訊號至雲端伺服器,而雲端伺服器接收且利用血糖感測訊號以進行血糖運算處理而產生並傳送血糖資訊,且血糖資訊包含使用者的血糖值。 Then, the handheld electronic device receives and converts the sensing signal to generate a blood glucose sensing signal, and transmits the blood glucose sensing signal to the cloud server, and the cloud server receives and utilizes the blood glucose sensing signal to perform blood glucose calculation processing to generate and transmit the blood glucose information, and the blood sugar information includes the user's blood sugar level.
最後,手持電子裝置接收血糖資訊,並經由應用程式而在顯示幕的操作畫面中顯示血糖值。 Finally, the handheld electronic device receives the blood glucose information, and displays the blood glucose value on the operation screen of the display screen through the application program.
此外,本發明之另一目的在於提供一種非侵入性雲端血糖量測系統,包括非侵入性血糖感測裝置以及手持電子裝置,用以執行雲端血糖量測操作,其中非侵入性血糖感測裝置具無線通信功能,並產生激發訊號以供使用者接觸,激發訊號為方波訊號,且方波訊號的頻率是在100及500Hz之間,而手持電子裝置具有顯示幕,係藉執行應用程式而以非接觸方式連結至非侵入性血糖感測裝置以進行無線通信,並在顯示幕上顯示操作畫面以當作操作介面。 In addition, another object of the present invention is to provide a non-invasive cloud blood glucose measurement system, including a non-invasive blood glucose sensing device and a handheld electronic device for performing cloud blood glucose measurement operations, wherein the non-invasive blood glucose sensing device It has a wireless communication function and generates an excitation signal for the user to contact. The excitation signal is a square wave signal, and the frequency of the square wave signal is between 100 and 500 Hz. The handheld electronic device has a display screen, which is generated by running an application program It is connected to the non-invasive blood glucose sensing device in a non-contact way for wireless communication, and the operation screen is displayed on the display screen as an operation interface.
具體而言,上述的雲端血糖量測操作包含以下依序的步驟。 Specifically, the above cloud blood glucose measurement operation includes the following steps in sequence.
首先,非侵入性血糖感測裝置是在使用者接觸時,先等候預設的等待時間,再依據激發訊號以感應感測訊號,並傳送感測訊號至手持電子裝置,其中感測訊號是對應於激發訊號。 First, the non-invasive blood glucose sensing device waits for a preset waiting time when the user touches it, then senses the sensing signal according to the excitation signal, and transmits the sensing signal to the handheld electronic device, wherein the sensing signal corresponds to for the excitation signal.
然後,手持電子裝置利用應用程式轉換感測訊號以產生血糖感測訊號。接著,應用程式利用血糖感測訊號以進行血糖運算處理而產生血糖資訊,且血糖資訊包含使用者的血糖值。最後,手持電子裝置經由應用程式而在顯示幕的操作畫面中顯示血糖值。 Then, the handheld electronic device uses the application program to convert the sensing signal to generate a blood glucose sensing signal. Then, the application uses the blood sugar sensing signal to perform blood sugar calculation processing to generate blood sugar information, and the blood sugar information includes the user's blood sugar level. Finally, the handheld electronic device displays the blood glucose level on the operation screen of the display screen through the application program.
因此,本發明的非侵入性雲端血糖量測系統提供非侵入性血糖感測裝置以連結手持電子裝置,並由非侵入性血糖感測裝置感測使用者的感測訊號,再經手持電子裝置或連結至手持電子裝置的雲端伺服器以計算使用者的血糖值。 Therefore, the non-invasive cloud blood glucose measurement system of the present invention provides a non-invasive blood glucose sensing device to connect with the handheld electronic device, and the non-invasive blood glucose sensing device senses the user's sensing signal, and then the handheld electronic device detects the user's sensing signal. Or connect to the cloud server of the handheld electronic device to calculate the user's blood sugar level.
整體而言,本發明非侵入性雲端血糖量測系統的整體構造非常簡潔,不需配置其他的裝置或導線,即可以非侵入的接觸方式而初步檢測並即時顯示使用者的血糖值,所以使用上非常便利,而且非常具有實用性,不僅可輔助使用者隨時而快速的進行血糖量測,還能避免太過頻繁扎破手指取出血液而招致病菌感染的風險,並能長時間監測血糖。 On the whole, the overall structure of the non-invasive cloud blood glucose measurement system of the present invention is very simple, and it does not need to configure other devices or wires. It is very convenient and practical. It not only assists the user to measure blood sugar quickly and at any time, but also avoids the risk of bacterial infection by puncturing the finger too frequently to take out blood, and can monitor blood sugar for a long time.
1:非侵入性血糖感測裝置 1: Non-invasive blood glucose sensing device
10:殼體 10: Shell
20:輸入電極單元 20: Input electrode unit
21:第一輸入電極 21: The first input electrode
22:第二輸入電極 22: The second input electrode
23:第三輸入電極 23: The third input electrode
24:第四輸入電極 24: Fourth input electrode
30:控制單元 30: Control unit
40:輸出電極單元 40: Output electrode unit
41:第一輸出電極 41: The first output electrode
42:第二輸出電極 42: The second output electrode
50:無線傳輸單元 50: Wireless transmission unit
60:電池單元 60: battery unit
BT:電池 BT: battery
D:顯示幕 D: Display screen
M:手持電子裝置 M: Handheld electronic device
N:無線網路 N: wireless network
S:雲端伺服器 S: cloud server
S1:外部激發訊號 S1: External excitation signal
ST:激發訊號 ST: excitation signal
SS:感測訊號 SS: sensing signal
SA:感測輸入訊號 SA: Sensing input signal
第一圖顯示依據本發明第一實施例非侵入性雲端血糖量測系統的示意圖。 The first figure shows a schematic diagram of a non-invasive cloud blood glucose measurement system according to a first embodiment of the present invention.
第二圖顯示依據本發明第一實施例非侵入性雲端血糖量測系統中輸入電極單元及輸出電極單元的示範性實例之示意圖。 The second figure shows a schematic diagram of an exemplary example of the input electrode unit and the output electrode unit in the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention.
第三圖顯示依據本發明第一實施例非侵入性雲端血糖量測系統中輸入電極單元及輸出電極單元的示範性實例之另一示意圖。 Figure 3 shows another schematic diagram of an exemplary example of the input electrode unit and the output electrode unit in the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention.
第四圖顯示示依據本發明第二實施例非侵入性雲端血糖量測系統的示意圖。 FIG. 4 shows a schematic diagram of a non-invasive cloud blood glucose measurement system according to a second embodiment of the present invention.
以下配合圖示及元件符號對本發明之實施方式做更詳細的說明,俾使熟習該項技藝者在研讀本說明書後能據以實施。 The embodiments of the present invention will be described in more detail below with reference to the drawings and component symbols, so that those skilled in the art can implement them after studying the description.
請參考第一圖,本發明第一實施例非侵入性雲端血糖量測系統的示意圖。如第一圖所示,本發明第一實施例的非侵入性雲端血糖量測系統包括非侵入性血糖感測裝置1、手持電子裝置M以及雲端伺服器S,用以執行雲端血糖量測操作,其中非侵入性血糖感測裝置1具無線通信功能,並產生激發訊號ST以供使用者接觸。此外,激發訊號ST為方波訊號,且方波訊號的頻率是在100及500Hz之間。尤其,手持電子裝置M具有顯示幕D,是藉執行應用程式(APP)而以非接觸方式連結至非侵入性血糖感測裝置1,藉以進行無線通信,並在顯示幕D上顯示操作畫面,以當作操作介面。另外,雲端伺服器S是位於手持電子裝置M的遠端,並經由無線網路N而連結至手持電子裝置M。
Please refer to the first figure, which is a schematic diagram of the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention. As shown in the first figure, the non-invasive cloud blood glucose measurement system according to the first embodiment of the present invention includes a non-invasive blood
舉例而言,上述的手持電子裝置M可包含智慧型手機以及平板電腦的至少其中之一,而非接觸方式可包含藍芽(Bluetooth)協定、無線熱點(wireless fidelity,Wi-Fi)協定、近距離無線通訊(Near Field Communication,NFC)協定、紫蜂(Zigbee)的至少其中之一,且無線網路可包含無線區域網路、第三代(3G)手機通信網路、第四代(4G)手機通信網路、第五代(5G)手機通信網路的至少其中之一。 For example, the above-mentioned handheld electronic device M may include at least one of a smart phone and a tablet computer, and the non-contact method may include Bluetooth protocol, wireless fidelity (Wi-Fi) protocol, proximity At least one of the Near Field Communication (NFC) protocol and Zigbee, and the wireless network may include a wireless local area network, a third-generation (3G) mobile communication network, a fourth-generation (4G) ) mobile communication network, at least one of the fifth generation (5G) mobile communication network.
具體而言,上述的雲端血糖量測操作是包含依序執行的以下步驟。 Specifically, the above cloud blood glucose measurement operation includes the following steps executed in sequence.
首先,非侵入性血糖感測裝置1是在使用者接觸時,先等候預設的等待時間,比如0.6~1.2秒,再依據激發訊號ST以感應出感測訊號SS,並傳送感測訊號SS至手持電子裝置M,其中感測訊號SS是對應於激發訊號ST。其原理是,使用者的身體表面具有表面電氣訊號,主要是由皮膚組織的生化反應、微血管的血液流動或神經纖維的脈動傳導訊號所產生,而且皮膚本身具有電容器的功效,所以使用者接觸到非侵入性血糖感測裝置1的外表面時,會在激發訊號ST的激發
下,感應出對應於激發訊號ST的感測訊號SS。更加進一步而言,感測訊號SS可代表身體中不同組織的電氣特性,尤其是流動的血液中不同的生理成分或物質,比如血糖、尿酸、抗體、血球。因此,本發明特別選定激發訊號ST的頻率是在100及500Hz之間,藉以突顯感測訊號SS對血糖的專一性響應程度。
First, the non-invasive blood
接著,手持電子裝置M接收並轉換感測訊號SS以產生血糖感測訊號,並傳送血糖感測訊號至雲端伺服器S。之後,雲端伺服器S接收且利用血糖感測訊號以進行血糖運算處理而產生並傳送血糖資訊,其中血糖資訊包含使用者的血糖值。最後,手持電子裝置M接收血糖資訊,並經由應用程式而在顯示幕D的操作畫面中顯示血糖值,以供使用者參考。 Then, the handheld electronic device M receives and converts the sensing signal SS to generate a blood glucose sensing signal, and transmits the blood glucose sensing signal to the cloud server S. Afterwards, the cloud server S receives and utilizes the blood glucose sensing signal to perform blood glucose calculation processing to generate and transmit blood glucose information, wherein the blood glucose information includes the blood glucose value of the user. Finally, the handheld electronic device M receives the blood glucose information, and displays the blood glucose value on the operation screen of the display screen D through the application program for the user's reference.
簡言之,在實際使用時,使用者是藉非侵入性血糖感測裝置1,並利用手持電子裝置M的應用程式而經由顯示幕D即時觀看到所顯示的血糖值,所以非常方便。
In short, in actual use, the user uses the non-invasive blood
更加具體而言,非侵入性血糖感測裝置1是包含殼體10、輸入電極單元20、控制單元30、輸出電極單元40、無線傳輸單元50以及電池單元60,其中殼體10具電氣絕緣性及防水功能,並具有容置空間,且控制單元30、無線傳輸單元50以及電池單元60是在容置空間中,而輸入電極單元20、輸出電極單元40是配置在殼體10的外表面以供使用者接觸,比如正面的外表面,且輸入電極單元20、輸出電極單元40是不相互連接或接觸,並由電池單元60提供電力給控制單元30以及無線傳輸單元50而運作。此外,電池單元60可包含至少一電池BT。
More specifically, the non-invasive blood
進一步,輸入電極單元20、輸出電極單元40是電氣連接至控制單元30,並由導電材料構成而具有薄片狀。此外,輸入電極單元20是在使用者接觸並等候等待時間後,才感應並傳送感測輸入訊號SA至控制單元30,並由控制單
元30濾波、放大、轉換後產生及輸出感測訊號SS。再者,無線傳輸單元50是電氣連接至控制單元30,用以接收並傳送感測訊號SS至手持電子裝置M。要注意的是,控制單元30所產生的感測訊號SS本質上是數位訊號,亦即是經控制單元30進行類比至數位轉換(analog to digital conversion,ADC)的處理,例如,將0V當作0,而以電源電壓的3.3V當作最大值,比如12位元ADC的4095,因為是屬於一般習知技術的常用作法,所以下文中不詳細說明。
Further, the
此外,控制單元30是以自動方式或被動方式而產生並傳送激發訊號ST,且自動方式是指控制單元30在不受其他控制下持續產生激發訊號ST,而被動方式是在控制單元30接收外部激發訊號S1後進行,其中外部激發訊號S1是由手持電子裝置M產生而經由無線傳輸單元50傳送至控制單元30,或者,外部激發訊號S1是由雲端伺服器S產生而經手持電子裝置M傳送至無線傳輸單元50,並進一步傳送至控制單元30。控制單元30將激發訊號ST傳送至輸出電極單元40,以供使用者接觸,進而由輸入電極單元20感應出上述的感測輸入訊號SA。
In addition, the
舉例而言,輸入電極單元20、輸出電極單元40可如第二圖所示的示範性實例方式而配置成位於預設的某一感測區域內,尤其,感測區域的面積是特別設計成小於手指正面的面積,在此,手指正面是指某一手指中具有指紋的表面,而手指可包含拇指、食指、中指、無名指以及小指的其中之一。尤其,輸入電極單元20、輸出電極單元40是包含至少一圖案,比如太極紋路、三角形圖案、矩形圖案、或半月形圖案,不過第二圖的示範性實例是顯示輸入電極單元20、輸出電極單元40是包含單一太極紋路、或單一三角形圖案、或單一矩形圖案,藉以方便說明本發明的特點。
For example, the
進一步,利用第二圖的輸入電極單元20、輸出電極單元40所進行的血糖運算處理是包含以下依序進行的步驟。
Furthermore, the blood sugar calculation processing performed by the
首先,取樣感測訊號SS,接著,對每八個至每二十個的感測訊號SS進行算術平均,藉以計算平均訊號,並比較平均訊號以及雜訊閥值,直到平均訊號不大於雜訊閥值為止,則平均訊號是被視為有效感測訊號,其中雜訊閥值可為300~500之間的實數。在此,是將大於雜訊閥值的平均訊號當作無效訊號而捨棄不用,只選用不大於雜訊閥值的平均訊號,有別於一般雜訊是小於有效訊號的特性,其理由在於感測訊號SS是在使用者接觸後產生,比如用手指按壓的方式同時接觸輸入電極單元20、輸出電極單元40,所以感測訊號SS在受到外在環境的干擾時,會大幅度上升而形成維持一段時間的尖峰訊號,導致平均訊號過大而失真,無法用於代表對應於血糖值的真實訊號。
First, the sensing signal SS is sampled, and then the arithmetic average is performed on every eight to every twenty sensing signals SS, so as to calculate the average signal, and compare the average signal and the noise threshold until the average signal is not greater than the noise Up to the threshold, the average signal is regarded as a valid sensing signal, and the noise threshold can be a real number between 300 and 500. Here, the average signal greater than the noise threshold is regarded as an invalid signal and discarded, and only the average signal not greater than the noise threshold is selected, which is different from the general noise that is smaller than the valid signal. The sensing signal SS is generated after the user touches, for example, the
然後,將有效感測訊號當作手指訊號。 Then, the valid sensing signal is regarded as a finger signal.
接著,利用手指訊號以計算手指反饋訊號,表示為A1_ratio,A1_ratio=para_1* A1_m_Ave+para_2,其中Para_1為第一參數,Para_2為第二參數,而第一參數為0.055~0.065的實數,且第二參數為25.31~25.51的實數,此外,A1_m_ave是A1_m的平均值,且A1_m是所有A1_ave中不大於600~1500的剩餘A1_ave,藉以當作是在極端值範圍以外的穩定反饋訊號,尤其,A1_ave是連續每10個手指訊號計算一次的算術平均值,且共計算100次的算術平均值。 Next, use the finger signal to calculate the finger feedback signal, which is expressed as A1_ratio, A1_ratio=para_1* A1_m_Ave+para_2, where Para_1 is the first parameter, Para_2 is the second parameter, and the first parameter is a real number from 0.055 to 0.065, and the second The parameter is a real number from 25.31 to 25.51. In addition, A1_m_ave is the average value of A1_m, and A1_m is the remaining A1_ave that is not greater than 600 to 1500 in all A1_ave, so as to be a stable feedback signal outside the extreme value range, especially, A1_ave is The arithmetic mean is calculated once every 10 finger signals, and the arithmetic mean is calculated 100 times in total.
最後,利用手指反饋訊號以計算血糖值,並將血糖值包含於血糖資訊中,且手持電子裝置M的應用程式藉顯示幕D上所顯示的操作畫面而提供包含空腹模式、飯後模式、正常模式、糖尿病前期模式以及糖尿病模式的操作模式以供選取,其中血糖值是表示為GLU,GLU=para_3*(((para_4-A1_ratio)/Para_6)- para_5),且糖尿病前期模式是當作危險群模式,而Para_3為第三參數,Para_4為第四參數,Para_5為第五參數,Para_6為第六參數,較佳的,第三參數在正常模式時為2.8~3.9,在危險群模式時為2.86~5.58的實數,且在糖尿病模式時為4.68~19.5的實數,而第四參數在空腹模式時為60~70的實數,且在飯後模式時為71~80的實數,另外,第五參數為0.03~0.06的實數,而第六參數為10.211~10.519的實數。特別一提的是,上述血糖值的計算式是依據大數據,經統計及回歸分析後產生,整體上,血糖值與A1_ratio之間為線性相關,尤其在實際比對後,所計算的血糖值具有高達94%的準確率。 Finally, the finger feedback signal is used to calculate the blood sugar level, and the blood sugar level is included in the blood sugar information, and the application program of the handheld electronic device M provides fasting mode, after-meal mode, normal mode through the operation screen displayed on the display D Mode, Pre-Diabetes Mode, and Diabetic Mode are available for selection, where the blood glucose value is expressed as GLU, GLU=para_3*(((para_4-A1_ratio)/Para_6)- para_5), and the prediabetes mode is regarded as the risk group mode, and Para_3 is the third parameter, Para_4 is the fourth parameter, Para_5 is the fifth parameter, and Para_6 is the sixth parameter. Preferably, the third parameter is in the normal mode. is 2.8~3.9, a real number of 2.86~5.58 in the risk group mode, and a real number of 4.68~19.5 in the diabetes mode, and the fourth parameter is a real number of 60~70 in the fasting mode, and in the postprandial mode. is a real number from 71 to 80. In addition, the fifth parameter is a real number from 0.03 to 0.06, and the sixth parameter is a real number from 10.211 to 10.519. In particular, the above calculation formula of blood sugar value is based on big data, and is generated after statistical and regression analysis. On the whole, there is a linear correlation between blood sugar value and A1_ratio, especially after the actual comparison, the calculated blood sugar value With up to 94% accuracy.
或者,如第三圖所示的另一示意圖,輸入電極單元20包含第一輸入電極21、第二輸入電極22、第三輸入電極23以及第四輸入電極24,且輸出電極單40元是包含第一輸出電極41及第二輸出電極42。進一步,第一輸出電極41具中空環形狀,而第二輸出電極42是具有特定的圖案,比如太極紋路、三角形圖案、矩形圖案或半月形圖案,且位於第一輸出電極41的中空環形狀內。此外,第一輸入電極21具中空環形狀,第二輸入電極22、第三輸入電極23以及第四輸入電極24是具有特定的圖案,比如太極紋路、三角形圖案、矩形圖案或半月形圖案,且第二輸入電極22以及第三輸入電極23是位於第一輸入電極21的中空環形狀內,而第一輸入電極21、第二輸入電極22以及第三輸入電極23之間不相互接觸,尤其,第四輸入電極24是位於第一輸出電極41的中空環形狀內,且第四輸入電極24、第一輸出電極41以及第二輸出電極42之間不相互接觸。
Or, as another schematic diagram shown in FIG. 3, the
再者,第一輸出電極41的中空環形狀的尺寸大小以及第一輸入電極21的中空環形狀的尺寸大小是等於或大於使用者的指頭接觸輸入電極單元20或輸出電極單元40的接觸面積。
Furthermore, the size of the hollow ring shape of the
進一步,利用第三圖的血糖運算處理是依序包含以下步驟。 Furthermore, the blood glucose calculation process using the third figure includes the following steps in order.
首先,取樣感測訊號SS,接著,對每八個至每二十個的感測訊號SS進行算術平均,藉以計算平均訊號,並比較平均訊號以及雜訊閥值,直到平均訊號不大於雜訊閥值為止,則平均訊號是被視為有效感測訊號,其中雜訊閥值可為300~500之間的實數。 First, the sensing signal SS is sampled, and then the arithmetic average is performed on every eight to every twenty sensing signals SS, so as to calculate the average signal, and compare the average signal and the noise threshold until the average signal is not greater than the noise Up to the threshold, the average signal is regarded as a valid sensing signal, and the noise threshold can be a real number between 300 and 500.
然後,將有效感測訊號分割成第一手指訊號以及第二手指訊號,其中第一手指訊號是來自與使用者之第一手指接觸之第一輸入電極21、第二輸入電極22以及第三輸入電極23,而第二手指訊號是來自與使用者之第二手指接觸之第一輸出電極41、第二輸出電極42以及第四輸入電極24。在此,第一手指可為使用者之右手的拇指或食指,且第二手指可為使用者之左手的拇指或食指,或者,第一手指為左手的拇指或食指,且第二手指為左手的拇指或食指。
Then, the effective sensing signal is divided into a first finger signal and a second finger signal, wherein the first finger signal comes from the
接著,利用第一手指訊號以計算第一手指反饋訊號,其中第一手指反饋訊號為A1_ratio,且表示成:A1_ratio=P1*A1_m_ave+P2,P1為一第一參數,P2為一第二參數,第一參數為0.05~0.08的實數,第二參數為21.05~35.34的實數,A1_m_ave是A1_m的平均值,A1_m是所有A1_ave中不大於600~1500的剩餘A1_ave,當作是在極端值範圍以外的穩定反饋訊號,A1_ave是連續每10個第一手指訊號計算一次的算術平均值,且共計算100次的算術平均值。 Next, use the first finger signal to calculate the first finger feedback signal, wherein the first finger feedback signal is A1_ratio, which is expressed as: A1_ratio=P1*A1_m_ave+P2, P1 is a first parameter, P2 is a second parameter, The first parameter is a real number from 0.05 to 0.08, the second parameter is a real number from 21.05 to 35.34, A1_m_ave is the average value of A1_m, and A1_m is the remaining A1_ave that is not greater than 600 to 1500 among all A1_aves, which are considered to be outside the extreme value range. For the stable feedback signal, A1_ave is the arithmetic mean calculated once every 10 consecutive first finger signals, and the arithmetic mean is calculated 100 times in total.
然後,利用第二手指訊號以計算第二手指反饋訊號,且第二手指反饋訊號是表示為A2_m_ave,其中A2_m_ave是A2_m的平均值,A2_m是所有A2_ave中不大於900~1800的剩餘A2_ave,當作是在極端值範圍以外的穩定反饋訊號,A2_ave是連續每10個第二手指訊號計算一次的算術平均值,且共計算100次的算術平均值。 Then, use the second finger signal to calculate the second finger feedback signal, and the second finger feedback signal is represented as A2_m_ave, where A2_m_ave is the average value of A2_m, A2_m is the remaining A2_ave that is not greater than 900~1800 in all A2_aves, as It is a stable feedback signal outside the extreme value range. A2_ave is the arithmetic average calculated once every 10 consecutive second finger signals, and the arithmetic average is calculated 100 times in total.
最後,利用第一手指反饋訊號以及第二手指反饋訊號以計算所需的血糖值,並將血糖值包含於血糖資訊中。特別的是,非侵入性血糖感測裝置1提供包含空腹模式、飯後模式、正常模式、糖尿病前期模式以及糖尿病模式的操作模式以供選取,且糖尿病前期模式是當作危險群模式,比如可利用顯示幕D的操作畫面。進一步,血糖值是表示為GLU,GLU=P3*(A2_m_ave/P4)-P5)*(((P6-A1_ratio)/10.238)-P5)*P7,其中P3為第三參數,P4為第四參數,P5為第五參數,P6為第六參數,P7為第七參數,且第三參數在正常模式時為0.8~1,在危險群模式時為1.1~1.5的實數,且在糖尿病模式時為1.8~5.0的實數,第四參數在空腹模式時為210~220的實數,且在飯後模式時為200~210的實數,第五參數為0.03~0.06的實數,第六參數在空腹模式時為60~70的實數,且在飯後模式時為71~80的實數,第七參數為3%~15%的百分比。同樣的,上述血糖值的計算式是依據大數據,經統計及回歸分析後產生。
Finally, using the feedback signal of the first finger and the feedback signal of the second finger to calculate the required blood glucose value, and include the blood glucose value in the blood glucose information. In particular, the non-invasive blood
進一步參考第四圖,本發明第二實施例非侵入性雲端血糖量測系統的示意圖。如第四圖所示,本發明第二實施例的非侵入性雲端血糖量測系統包括非侵入性血糖感測裝置1以及手持電子裝置M,用以執行雲端血糖量測操作。
Further referring to the fourth figure, a schematic diagram of the non-invasive cloud blood glucose measurement system according to the second embodiment of the present invention. As shown in FIG. 4 , the non-invasive cloud blood glucose measurement system according to the second embodiment of the present invention includes a non-invasive blood
要注意的是,第二實施例的非侵入性雲端血糖量測系統本質上是類似於上述第一實施例的非侵入性雲端血糖量測系統,主要的差異在於第二實施例不包含第一實施例的雲端伺服器S,不過,非侵入性血糖感測裝置1是等同於第一實施例而無差異,再者,手持電子裝置M的操作特性是進一步包含雲端伺服器S所執行的操作步驟而不同於第一實施例,所以第二實施例的雲端血糖量測操作是不同於第一實施例,因而下文中不再贅述非侵入性血糖感測裝置1,而只是說明手持電子裝置M的操作內容。
It should be noted that the non-invasive cloud blood glucose measurement system of the second embodiment is essentially similar to the non-invasive cloud blood glucose measurement system of the above-mentioned first embodiment, the main difference is that the second embodiment does not include the first The cloud server S of the embodiment, however, the non-invasive blood
具體而言,手持電子裝置M仍然是藉執行應用程式而用非接觸方式連結至非侵入性血糖感測裝置1以進行無線通信,並在顯示幕D上顯示操作畫面,以當作操作介面,不過,手持電子裝置M的應用程式還同時取代雲端伺服器S的操作內容,例如,手持電子裝置M可直接產生並傳送外部激發訊號S1至非侵入性血糖感測裝置1,還可利用應用程式產生血糖資訊。
Specifically, the handheld electronic device M is still connected to the non-invasive blood
進一步,第二實施例的雲端血糖量測操作包含以下依序進行的步驟。 Further, the cloud blood glucose measurement operation of the second embodiment includes the following steps in sequence.
首先,非侵入性血糖感測裝置1是在使用者接觸時,先等候預設的等待時間,再依據激發訊號ST以感應出感測訊號SS,並傳送感測訊號SS至手持電子裝置M,因而感測訊號SS是對應於激發訊號ST。
First, the non-invasive blood
接著,手持電子裝置M利用應用程式轉換感測訊號SS以產生血糖感測訊號,之後,應用程式利用血糖感測訊號以進行血糖運算處理,進而產生血糖資訊,其中血糖資訊包含使用者的血糖值。最後,手持電子裝置M經由應用程式而在顯示幕D的操作畫面中顯示血糖值,供使用者參考。 Next, the handheld electronic device M uses the application program to convert the sensing signal SS to generate a blood glucose sensing signal. After that, the application program uses the blood glucose sensing signal to perform blood glucose calculation processing, thereby generating blood glucose information, wherein the blood glucose information includes the user's blood glucose level. . Finally, the handheld electronic device M displays the blood glucose level on the operation screen of the display screen D via the application program for the user's reference.
相對於第一實施例而言,第二實施例的手持電子裝置M利用應用程式產生外部激發訊號S1,同時還進行血糖運算處理以產生並顯示包含使用者血糖值的血糖資訊,所以在整體架構上,第二實施例的非侵入性雲端血糖量測系統更為簡潔而具產業利用性,尤其,只需要手持電子裝置M、非侵入性血糖感測裝置1之間的通信,即可達成所需功能,比如短距離通信,因而避免受到基地台信號不良的影響,比如在較為偏遠的地區或較為密閉的室內環境或場所。
Compared with the first embodiment, the handheld electronic device M of the second embodiment uses an application program to generate an external excitation signal S1, and also performs a blood sugar calculation process to generate and display the blood sugar information including the user's blood sugar level, so the overall structure is Above, the non-invasive cloud blood glucose measurement system of the second embodiment is more concise and has industrial applicability, especially, only the communication between the handheld electronic device M and the non-invasive blood
綜上所述,本發明的主要特點在於利用手持電子裝置連結非侵入性血糖感測裝置、雲端伺服器,並由非侵入性血糖感測裝置感測使用者的感測訊 號,再經由手持電子裝置傳送至雲端伺服器,以計算血糖值,最後藉手持電子裝置的顯示幕顯示包含血糖值的資訊,供使用者參考,所以使用上非常便利。尤其,使用者可接觸方式而隨時監測血糖的變化,而且是不需穿破皮膚採血,便能立刻獲得血糖值的資訊,因此能避免病菌的感染,大幅提高血糖量測的安全性。 To sum up, the main feature of the present invention is that the handheld electronic device is used to connect the non-invasive blood glucose sensing device and the cloud server, and the non-invasive blood glucose sensing device senses the user's sensing information The number is then sent to the cloud server through the handheld electronic device to calculate the blood sugar level, and finally the information including the blood sugar level is displayed on the display screen of the handheld electronic device for the user's reference, so it is very convenient to use. In particular, users can monitor changes in blood sugar at any time by contact, and can obtain information on blood sugar levels immediately without piercing the skin to collect blood, thus avoiding bacterial infection and greatly improving the safety of blood sugar measurement.
此外,本發明的另一特點在於非侵入性血糖感測裝置只需搭配手持電子裝置,而不需連結雲端伺服器,即可達成雲端血糖量測操作而獲得血糖值的資訊,因此,使用者只要隨攜帶非侵入性血糖感測裝置、手持電子裝置即可,尤其,外部激發訊號的產生、血糖值的計算都是由應用程式完成,在後續維護上,非常方便且經濟,因為可隨時更新應用程式,提高血糖量測的準確率。 In addition, another feature of the present invention is that the non-invasive blood glucose sensing device only needs to be matched with a handheld electronic device without connecting to a cloud server, so that the cloud blood glucose measurement operation can be performed to obtain the information of the blood glucose value. Therefore, the user can As long as you carry a non-invasive blood glucose sensing device and a handheld electronic device with you, especially, the generation of external excitation signals and the calculation of blood glucose values are all completed by the application program, which is very convenient and economical in the follow-up maintenance, because it can be updated at any time. App to improve the accuracy of blood glucose measurement.
以上所述者僅為用以解釋本發明之較佳實施例,並非企圖據以對本發明做任何形式上之限制,是以,凡有在相同之發明精神下所作有關本發明之任何修飾或變更,皆仍應包括在本發明意圖保護之範疇。 The above descriptions are only used to explain the preferred embodiments of the present invention, and are not intended to limit the present invention in any form. Therefore, any modification or change of the present invention should be made within the same spirit of the invention. , all should still be included in the scope of the intended protection of the present invention.
1非侵入性血糖感測裝置
10殼體
20輸入電極單元
30控制單元
40輸出電極單元
50無線傳輸單元
60電池單元
BT電池
D顯示幕
M手持電子裝置
N無線網路
S雲端伺服器
S1外部激發訊號
ST激發訊號
SS感測訊號
SA感測輸入訊號
1 Non-invasive blood
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TWM518961U (en) * | 2015-08-07 | 2016-03-21 | Goldensunda Technology Co Ltd | Non-invasive blood glucose detection device |
CN106344038A (en) * | 2016-08-25 | 2017-01-25 | 何宗彦 | Non-invasive blood glucose measurement system |
TW201933159A (en) * | 2018-01-16 | 2019-08-16 | 中央研究院 | A system and method for non-invasively estimating HBA1C and blood glucose level |
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