TWI695705B - Irregular heartbeat detecting device combining exercise intensity analysis and the detecting method thereof - Google Patents

Irregular heartbeat detecting device combining exercise intensity analysis and the detecting method thereof Download PDF

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TWI695705B
TWI695705B TW108108436A TW108108436A TWI695705B TW I695705 B TWI695705 B TW I695705B TW 108108436 A TW108108436 A TW 108108436A TW 108108436 A TW108108436 A TW 108108436A TW I695705 B TWI695705 B TW I695705B
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heartbeat signal
exercise intensity
heartbeat
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TW202033155A (en
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林俊成
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國立勤益科技大學
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Abstract

An irregular heartbeat detecting device combining exercise intensity analysis and the detecting method thereof includes a measuring module, a storage module connected to the measuring module, and a processing module respectively connecting the measuring module and the storage module. The measuring module measures a heartbeat signal and physiological information of a user, calculates exercise intensity relative to the heartbeat signal and transfers into deliverable format for the processing module to read. Meanwhile, the processing module loads a proper sample of heartbeat signal from the storage module based on the physiological information and compares the heartbeat signal to the sample to obtain a correlation coefficient. The correlation coefficient is then compared to a preset range in order to determine whether the heartbeat is irregular, thereby increasing the accuracy of detection effectively, allowing the user to know the exercise intensity when the irregular heartbeat occurs to further understand his limitation of bearable exercise intensity, and reducing the risk of sudden death when the user does exercise exceeding the bearable exercise intensity.

Description

結合運動強度分析之異常心跳偵測裝置及其方法Abnormal heartbeat detection device and method combined with exercise intensity analysis

本發明是有關於一種檢測裝置,特別是一種結合運動強度分析之異常心跳偵測裝置及其方法。The invention relates to a detection device, in particular to an abnormal heartbeat detection device and method combined with exercise intensity analysis.

隨著生活水準與品質的提升,同時國人平均壽命逐年延長,因此,重大疾病的預防及檢測逐漸受到現代人所重視,此外,疾病的型態也由急性轉為慢性居多,例如癌症、心臟疾病、腦性血管疾病等,受助於科技的發展,藉由量測相關的生理訊號並進行分析,使得重大疾病的早期徵兆得以被察覺,以利患者及早接受治療,同時有助於控制病情並提升治癒率。With the improvement of living standards and quality, meanwhile, the average life expectancy of Chinese people is increasing year by year. Therefore, the prevention and detection of major diseases are gradually paid attention to by modern people. In addition, the types of diseases have also changed from acute to chronic, such as cancer and heart diseases. , Cerebrovascular disease, etc., benefiting from the development of technology, by measuring and analyzing related physiological signals, early signs of major diseases can be detected, so that patients can receive early treatment, and help control the disease and Improve the cure rate.

查,心電圖普遍用於追蹤心臟疾病的發生,以及針對心臟疾病進行分析及診斷,其採用非侵入性的量測方式,同時提供良好的訊息,使得醫療人員或研究人員得以藉由心電圖所呈現的心臟整體的電位變化,進而清楚地瞭解患者的心臟狀況,以及檢測出有潛在危險的患者,亦或是幫助監測心臟有缺陷的患者,以便降低患者心臟疾病發作的風險,然,心電圖無法隨時隨地監控患者的心跳訊號,因此無法於患者產生異常心跳訊號的情況下提供即時的援助,再者,心電圖僅能用於判斷心跳訊號是否異常,其無法分析異常心跳訊號發生當下的運動強度,使得患者於從事運動時無法掌握自身的運動強度限制,若是患者高估自身所能承受的運動強度而從事運動強度較大的活動時(例如爬山、長時間開車、跑步等),其可能導致患者發生心臟猝死的風險,因此,如何隨時隨地進行心跳訊號的偵測,同時分析心跳訊號所對應的運動強度,藉以讓患者了解自身的運動強度限制,進而降低患者從事超出自身負荷之劇烈運動而再次產生異常心跳訊號的風險,實以成為各界無法忽視的重要議題。The electrocardiogram is commonly used to track the occurrence of heart disease, and to analyze and diagnose heart disease. It uses non-invasive measurement methods and provides good information so that medical staff or researchers can use the electrocardiogram to present Changes in the potential of the entire heart, and thus clearly understand the patient's heart condition, and detect patients with potential risk, or help monitor patients with heart defects, so as to 降 reduce the risk of heart disease in patients, however, ECG cannot be anytime and anywhere Monitoring the patient's heartbeat signal, so it cannot provide immediate assistance when the patient produces abnormal heartbeat signals. Furthermore, the ECG can only be used to determine whether the heartbeat signal is abnormal, and it cannot analyze the current exercise intensity of the abnormal heartbeat signal, which makes the patient Unable to grasp the limits of exercise intensity when engaging in exercise. If the patient overestimates the exercise intensity that they can withstand and engages in more exercise-intensive activities (such as climbing a mountain, driving for a long time, running, etc.), it may cause the patient to develop heart The risk of sudden death, therefore, how to detect the heartbeat signal anytime and anywhere, and analyze the exercise intensity corresponding to the heartbeat signal, so as to let the patient understand their own exercise intensity limit, thereby reducing the patient's violent exercise beyond their own load and causing abnormalities again The risk of heartbeat signals has become an important issue that cannot be ignored by all walks of life.

因此,本發明之目的,是在提供一種結合運動強度分析之異常心跳偵測裝置及其方法,其可於偵測心跳訊號的同時分析心跳訊號所對應的運動強度,進而讓使用者了解自身運動強度限制,以及降低使用者從事超出自身所能承受之運動強度的運動而產生異常心跳訊號的風險。Therefore, the purpose of the present invention is to provide an abnormal heartbeat detection device and method incorporating exercise intensity analysis, which can analyze the exercise intensity corresponding to the heartbeat signal while detecting the heartbeat signal, and thus let the user understand their own movement Intensity limitation and reduce the risk of abnormal heartbeat signals caused by users who exercise beyond the exercise intensity they can bear.

於是,本發明結合運動強度分析之異常心跳偵測裝置及其方法,其包含有一量測模組,一連接該量測模組之儲存模組,以及一與該量測模組與該儲存模組連接之處理模組;其中,該量測模組包含有一心電量測單元,一姿態感測單元,一連接該心電量測單元與該姿態感測單元之轉換單元,以及一連接該轉換單元之傳輸單元,另該處理模組包含有一讀取單元,以及一連接該讀取單元之判斷單元;藉由該心電量測單元量測心跳訊號,同時該姿態感測單元感測該心跳訊號對應的生理資訊,並透過該生理資訊換算出對應之運動強度,接著配合該轉換單元將其轉換為可輸出之訊號,以及該傳輸單元將該心跳訊號、該生理資訊與該運動強度傳送至該讀取單元,再由該判斷單元依據該生理資訊由該儲存模組選取一適合的心跳訊號樣本與該心跳訊號進行比對,藉以取得一相關係數,最後將該相關係數對比一預設範圍值,藉以判斷該心跳訊號是否異常,不僅有效檢測不同運動強度下的心跳訊號的變化,同時讓使用者了解自身運動強度限制,以及降低使用者從事超出所能承受之運動強度的運動而產生異常心跳訊號的風險。Therefore, the present invention combines an abnormal heartbeat detection device and method for exercise intensity analysis, which includes a measurement module, a storage module connected to the measurement module, and a measurement module and the storage module A group of connected processing modules; wherein, the measuring module includes an electrocardiogram measuring unit, a posture sensing unit, a conversion unit connecting the electrocardiographic measuring unit and the posture sensing unit, and a connecting unit The transmission unit of the conversion unit, and the processing module includes a reading unit and a judging unit connected to the reading unit; the heartbeat signal is measured by the electrocardiogram measuring unit, and the posture sensing unit senses the The physiological information corresponding to the heartbeat signal, and the corresponding exercise intensity is converted through the physiological information, and then converted into an output signal with the conversion unit, and the transmission unit transmits the heartbeat signal, the physiological information and the exercise intensity To the reading unit, and then the judgment unit selects a suitable heartbeat signal sample from the storage module based on the physiological information and compares with the heartbeat signal to obtain a correlation coefficient, and finally compares the correlation coefficient to a preset Range value, to judge whether the heartbeat signal is abnormal, not only effectively detect the change of heartbeat signal under different exercise intensity, but also let the user understand their own exercise intensity limit, and reduce the user's participation in exercise that exceeds the exercise intensity. The risk of abnormal heartbeat signals.

有關本發明之前述及其他技術內容、特點與功效,在以下配合參考圖式之較佳實施例的詳細說明中,將可清楚的明白。The foregoing and other technical contents, features and effects of the present invention will be clearly understood in the following detailed description with reference to the preferred embodiments of the drawings.

參閱圖1,本發明一種結合運動強度分析之異常心跳偵測裝置,其包含有一量測模組,一連接該量測模組之儲存模組,以及一分別連接該量測模組與該儲存模組之處理模組,另該儲存模組內預先儲存有複數心跳訊號樣本,而該等心跳訊號樣本係於使用者於靜態(即運動強度低)的狀態下預先量測儲存的心跳訊號,其所儲存之心跳訊號樣本亦可依據不同生理資訊進行分類並儲存,或者該儲存模組可為一心跳樣本資料庫(圖中未示),藉以取得該等心跳訊號樣本,以利進行後續的比對分析作業。Referring to FIG. 1, an abnormal heartbeat detection device incorporating exercise intensity analysis of the present invention includes a measurement module, a storage module connected to the measurement module, and a measurement module and the storage respectively The processing module of the module, and a plurality of heartbeat signal samples are pre-stored in the storage module, and the heartbeat signal samples are pre-measured and stored heartbeat signals in a static state (ie, low exercise intensity), The stored heartbeat signal samples can also be sorted and stored according to different physiological information, or the storage module can be a heartbeat sample database (not shown in the figure), so as to obtain these heartbeat signal samples for subsequent follow-up Comparison analysis job.

仍續前述,該量測模組包含有一心電量測單元,一姿態感測單元,一連接該心電量測單元與該姿態感測單元之轉換單元,以及一連接該轉換單元之傳輸單元,至於該處理模組係設於一電子裝置內(圖中未示),且該處理模組包含有一分別與該傳輸單元與該儲存模組連接之讀取單元,一連接該讀取單元之判斷單元,以及一連接該判斷單元之預警單元。Continuing the foregoing, the measurement module includes an electrocardiogram measuring unit, a posture sensing unit, a conversion unit connecting the electrocardiogram measuring unit and the posture sensing unit, and a transmission unit connecting the conversion unit As for the processing module is installed in an electronic device (not shown in the figure), and the processing module includes a reading unit respectively connected to the transmission unit and the storage module, and a reading unit connected to the reading unit The judgment unit and an early warning unit connected to the judgment unit.

仍續前述,該偵測裝置於使用時,使用者將其穿戴於身上,以便藉由該心電量測單元針對使用者的心跳訊號進行量測,並產生一待測心跳訊號,同時該姿態感測單元針對該待測心跳訊號所對應之生理資訊進行量測,而前述該生理資訊包含有行進速度、身體前傾角度、體溫與心率等,接著該姿態感測單元透過該生理資訊進行計算以得到該待測心跳訊號所對應之運動強度。Continuing the foregoing, when the detection device is in use, the user wears it on the body to measure the heartbeat signal of the user by the electrocardiogram measuring unit, and generates a heartbeat signal to be measured, and the posture The sensing unit measures the physiological information corresponding to the heartbeat signal to be measured, and the physiological information includes travel speed, body forward angle, body temperature and heart rate, etc., and then the posture sensing unit calculates through the physiological information To obtain the exercise intensity corresponding to the heartbeat signal to be measured.

仍續前述,待該姿態感測單元計算出該待測心跳訊號所對應的運動強度後,接著配合該轉換單元將該待測心跳訊號、該生理資訊與該運動強度由類比格式轉換為可傳輸的數位格式,而後該轉換單元分別將該轉換之待測心跳訊號、生理資訊與運動強度傳送至該傳輸單元,然後該讀取單元接著由該傳輸單元讀取該待測心跳訊號、該生理資訊與該運動強度並載入該電子裝置內,再配合該判斷單元由該儲存模組載入一心跳訊號樣本,而前述該心跳訊號樣本可依據該待測心跳訊號之生理資訊進行挑選,以便提升檢測的準確性,亦或選擇一運動強度較低的心跳訊號樣本進行比對,該判斷單元進一步將該待測心跳訊號與該心跳訊號樣本進行比對計算以取得一相關係數,而該判斷單元接著將該相關係數依據一預先設定之預設範圍值進行判斷分類,藉以判斷該待測心跳訊號是否異常,因此,該判斷單元可依據該待測心跳訊號與該心跳訊號樣本所計算出的相關係數判定該待測心跳訊號是否異常,故,使用者可依據該待測心跳訊號的分類,以及該待測心跳訊號所對應的運動強度,進而了解自身運動強度限制,以及降低使用者從事超出自身所能承受之運動強度的運動而產生異常心跳訊號的風險。Continuing from the foregoing, after the posture sensing unit calculates the exercise intensity corresponding to the heartbeat signal to be measured, and then cooperates with the conversion unit to convert the heartbeat signal to be tested, the physiological information and the exercise intensity from an analog format into transmittable Digital format, and then the conversion unit transmits the converted heartbeat signal, physiological information and exercise intensity to the transmission unit, and then the reading unit then reads the heartbeat signal and physiological information to be tested by the transmission unit And the exercise intensity are loaded into the electronic device, and then a heartbeat signal sample is loaded from the storage module in cooperation with the determination unit, and the heartbeat signal sample can be selected according to the physiological information of the heartbeat signal to be tested for improvement Detection accuracy, or select a heartbeat signal sample with lower exercise intensity for comparison, the judgment unit further compares the heartbeat signal to be tested with the heartbeat signal sample to obtain a correlation coefficient, and the judgment unit Then, the correlation coefficient is judged and classified according to a preset preset range value to judge whether the heartbeat signal to be tested is abnormal, therefore, the judgment unit can calculate the correlation between the heartbeat signal to be tested and the heartbeat signal sample The coefficient determines whether the heartbeat signal to be tested is abnormal, so the user can understand the limitation of his exercise intensity according to the classification of the heartbeat signal to be tested and the exercise intensity corresponding to the heartbeat signal to be tested, and reduce the user’s The risk of abnormal heartbeat signals due to the exercise intensity that can withstand.

仍續前述,當該待測心跳訊號被判定為異常時,該判斷單元連動該預警單元,以便透過該電子裝置發出警示效果,例如發出警示聲響、求救簡訊、定位資訊或求救通話等方式,使得使用者得以獲得即時的援助,再者,該待測心跳訊號與所對應的生理資訊及運動強度可由該量測模組或該處理模組傳送至該儲存模組儲存備用,以便作為心跳訊號樣本使用,亦或供醫療人員日後診療時所參考之依據。Continuing the foregoing, when the heartbeat signal to be tested is determined to be abnormal, the judgment unit links the early warning unit to issue a warning effect through the electronic device, such as issuing a warning sound, distress message, location information, or distress call, etc. The user can obtain real-time assistance. Furthermore, the heartbeat signal to be tested and the corresponding physiological information and exercise intensity can be sent to the storage module for storage by the measurement module or the processing module for use as a sample of the heartbeat signal Use, or for medical staff to refer to in the future.

參閱圖2,本發明一種結合運動強度分析之異常心跳偵測方法,其包含有一量測步驟,一計算步驟,一轉換步驟,以及一判斷步驟等,而本實施例中,該判斷步驟後另具有一預警步驟,以及一儲存步驟;首先於該量測步驟中備有一檢測裝置,而該檢測裝置包含有一量測模組,一連接該量測模組且儲存有複數心跳訊號樣本之儲存模組,以及一分別連接該量測模組與該儲存模組且設於一電子裝置(圖中未示)內之處理模組,以便藉由該量測模組量測使用者的心跳訊號,並產生一待測心跳訊號,同時該量測模組於一預定時間內收集該待測心跳訊號對應的生理資訊,而前述該生理資訊包含有行進速度、身體前傾角度、體溫與心率等。2, a method for detecting abnormal heartbeat combined with exercise intensity analysis of the present invention includes a measurement step, a calculation step, a conversion step, and a judgment step. In this embodiment, the judgment step is followed by another There is an early warning step and a storage step; first, a detection device is prepared in the measurement step, and the detection device includes a measurement module, a storage module connected to the measurement module and storing a plurality of heartbeat signal samples Group, and a processing module respectively connected to the measurement module and the storage module and provided in an electronic device (not shown), so as to measure the heartbeat signal of the user through the measurement module, A heartbeat signal to be measured is generated, and at the same time, the measurement module collects physiological information corresponding to the heartbeat signal to be measured within a predetermined time, and the physiological information includes travel speed, body forward angle, body temperature, and heart rate.

仍續前述,接著於該計算步驟將前述生理資訊予以帶入一算式中,以計算出一運動強度,而前述該算式如下列: 運動強度=(平均行進速度/最大行進速度)x行進速度佔比(%)+(平均身體前傾角度/最大前傾角度)x前傾角度佔比(%)+(平均體溫/最高體溫)x體溫佔比(%)+(平均心率/最高心率)x心率佔比(%); 其中,該行進速度佔比、該前傾角度佔比、該體溫佔比及該心率佔比總和為百分之百,因此,當前述該預訂時間較短時,所計算出的運動強度可以反應出使用者於較短時間內的運動強度,反之,當該預訂時間較長時,該運動強度可以反應出使用者於較長時間內的運動強度。 Continuing the foregoing, then in the calculation step, the physiological information is brought into a formula to calculate an exercise intensity, and the foregoing formula is as follows: Exercise intensity = (average travel speed/maximum travel speed) x travel speed ratio (%) + (average body forward angle/maximum forward angle) x forward angle ratio (%) + (average body temperature/maximum body temperature) x body temperature ratio (%) + (average heart rate / maximum heart rate) x heart rate ratio (%); Among them, the ratio of the traveling speed ratio, the forward leaning angle ratio, the body temperature ratio and the heart rate ratio is 100%, therefore, when the aforementioned booking time is shorter, the calculated exercise intensity can reflect the user Intensity of exercise in a shorter time, conversely, when the predetermined time is longer, the intensity of exercise can reflect the intensity of exercise of the user in a longer time.

仍續前述,再於該轉換步驟中將該待測心跳訊號、該生理資訊與該運動強度由類比格式轉換為可傳輸的數位格式,進一步於該判斷步驟藉由該處理模組由該儲存模組內依據該待測心跳訊號之生理資訊選定一適合的心跳訊號樣本,接著該處理模組再將該待測心跳訊號與該心跳訊號樣本進行比對計算以取得一相關係數,而該相關係數計算之算式如下列:

Figure 108108436-A0305-02-0009-1
Continuing from the foregoing, in the conversion step, the heartbeat signal to be measured, the physiological information and the exercise intensity are converted from an analog format to a digital format that can be transmitted. Further, in the determining step, the storage module In the group, a suitable heartbeat signal sample is selected according to the physiological information of the heartbeat signal to be tested, and then the processing module compares the heartbeat signal to be tested with the heartbeat signal sample to obtain a correlation coefficient, and the correlation coefficient The calculation formula is as follows:
Figure 108108436-A0305-02-0009-1

其中,該相關係數的範圍為-1至1,x[n]為待測心跳訊號,y[n]為心跳訊號樣本,N為待測心跳訊號與心跳訊號樣本中QRS波的長度(QRS波的取樣數目),

Figure 108108436-A0305-02-0009-4
[n]為待測心跳訊號的平均,而
Figure 108108436-A0305-02-0009-3
[n]為心跳訊號樣本的平均,當相關係數越接近0時,代表該待測心跳訊號與心跳訊號樣本間的相關程度越低,反之,當相關係數越接近1或-1時,則代表該待測心跳訊號與心跳訊號樣本間的正相關程度或負相關程度越高,,而本實施例中,該相關係數經由絕對值化後轉為百分比制,其範圍在0%~100%之間,同時該處理模組預先設定有一預設範圍值,當該相關係數介於80%~100%間時,該待測心跳訊號係被區分為正常;當該相關係數介於60%~80%間時,該待測心跳訊號係被區分為低度異常;而當該相關係數低於60%時,該待測心跳訊號係被區分為高度異常。 Among them, the correlation coefficient ranges from -1 to 1, x [ n ] is the heartbeat signal to be tested, y [ n ] is the heartbeat signal sample, N is the length of the QRS wave (QRS wave in the heartbeat signal and heartbeat signal sample to be tested Number of samples),
Figure 108108436-A0305-02-0009-4
[ n ] is the average of the heartbeat signal to be tested, and
Figure 108108436-A0305-02-0009-3
[ n ] is the average of heartbeat signal samples. When the correlation coefficient is closer to 0, it means that the correlation between the heartbeat signal to be tested and the heartbeat signal sample is lower. Conversely, when the correlation coefficient is closer to 1 or -1, it represents The higher the degree of positive or negative correlation between the heartbeat signal to be tested and the heartbeat signal sample, and in this embodiment, the correlation coefficient is converted into a percentage system after absolute value, and the range is between 0% and 100%. At the same time, the processing module pre-sets a preset range value. When the correlation coefficient is between 80% and 100%, the heartbeat signal to be tested is classified as normal; when the correlation coefficient is between 60% and 80 At %, the heartbeat signal to be tested is classified as low-level anomaly; when the correlation coefficient is less than 60%, the heartbeat signal to be tested is classified as high-level anomaly.

仍續前述,於該預警步驟中,當該待測心跳訊號被判定為異常時,該處理模組連動該電子裝置進一步發出警示效果,例如發出警示聲響、求救簡訊、定位資訊或求救通話等,以便提供即時的援助,再者,於該儲存步驟內將該待測心跳訊號與所對應的生理資訊及運動強度儲存於該儲存模組內,以便作為心跳訊號樣本使用,亦或作為醫療人員日後診療時之依據。Continuing the foregoing, in the early warning step, when the heartbeat signal to be tested is determined to be abnormal, the processing module links the electronic device to further issue a warning effect, such as issuing a warning sound, a distress message, positioning information, or a distress call, etc. In order to provide real-time assistance, in this storage step, the heartbeat signal to be tested and the corresponding physiological information and exercise intensity are stored in the storage module, so as to be used as a sample of the heartbeat signal, or as a medical staff in the future The basis for diagnosis and treatment.

歸納前述,本發明結合運動強度分析之異常心跳偵測裝置及其方法,其透過該量測模組量測使用者的心跳訊號,以及感測該心跳訊號所對應的生理資訊,並換算出該運動強度,配合該處理模組針對前述該生理資訊選取一適合的心跳訊號樣本,並將該待測心跳訊號與該心跳訊號樣本進行比對計算以取得該相關係數,再將該相關係數比對該預設範圍值進行判斷,藉以判斷該心跳訊號是否異常,如此不僅有效提升檢測的準確性,同時得以讓使用者了解自身運動強度限制,以及降低使用者從事超出自身所能承受之運動強度的運動而產生異常心跳訊號的風險。Summarizing the foregoing, the present invention combines an abnormal heartbeat detection device and method for exercise intensity analysis, which measures the user's heartbeat signal through the measurement module, and senses the physiological information corresponding to the heartbeat signal, and converts the Exercise intensity, cooperate with the processing module to select a suitable heartbeat signal sample for the aforementioned physiological information, and compare the heartbeat signal to be measured with the heartbeat signal sample to obtain the correlation coefficient, and then compare the correlation coefficient The predetermined range value is used to judge whether the heartbeat signal is abnormal, which not only effectively improves the accuracy of detection, but also allows users to understand their own exercise intensity limits, and reduces the user's exposure to exercise intensity beyond their own ability. Risk of abnormal heartbeat signal during exercise.

惟以上所述者,僅為說明本發明之較佳實施例而已,當不能以此限定本發明實施之範圍,即大凡依本發明申請專利範圍及發明說明書內容所作之簡單的等效變化與修飾,皆應仍屬本發明專利涵蓋之範圍內。However, the above are only for explaining the preferred embodiments of the present invention, but the scope of the implementation of the present invention cannot be limited by this, that is, simple equivalent changes and modifications made according to the scope of the patent application of the present invention and the content of the description of the invention , Should still fall within the scope of this invention patent.

(本發明) 無(Invention) None

圖1是本發明一較佳實施例之示意圖。 圖2是本發明一較佳實施例之流程方塊示意圖。 FIG. 1 is a schematic diagram of a preferred embodiment of the present invention. FIG. 2 is a schematic flowchart of a preferred embodiment of the present invention.

Claims (5)

一種結合運動強度分析之異常心跳偵測裝置,其包含有: 一量測模組,其包含有一心電量測單元,一姿態感測單元,一連接該心電量測單元與該姿態感測單元之轉換單元,以及一連接該轉換單元之傳輸單元,其中,該心電量測單元針對使用者的心跳訊號進行量測,並產生一待測心跳訊號,而該姿態感測單元針對該待測心跳訊號所對應之生理資訊進行量測,並進行計算以得到一運動強度,接著該轉換單元針對該待測心跳訊號、該生理資訊與該運動強度轉換為可輸出之格式,再由該傳輸單元進行傳輸,另該生理資訊包含有行進速度、身體前傾角度、體溫與心率; 一儲存模組,其與該量測模組連接,藉以記錄儲存前述待測心跳訊號、生理資訊與運動強度,同時該儲存模組內儲存有複數心跳訊號樣本;以及 一處理模組,其係安裝於一電子裝置且分別與該量測模組及該儲存模組連接,而該處理模組包含有一讀取單元,以及一連接該讀取單元之判斷單元,以便該讀取單元由該量測模組接收該待測心跳訊號,以及對應該待測心跳訊號之生理資訊與運動強度,接著由該儲存模組內讀取一心跳訊號樣本,再配合該判斷單元將該待測心跳訊號與該心跳訊號樣本進行比對計算以取得一相關係數,再將該相關係數依據一預先設定之預設範圍值進行判斷分類,藉以判斷該待測心跳訊號是否異常。 An abnormal heartbeat detection device combined with exercise intensity analysis, which includes: A measurement module includes an electrocardiogram measuring unit, a posture sensing unit, a conversion unit connecting the electrocardiographic measurement unit and the posture sensing unit, and a transmission unit connecting the conversion unit, wherein , The electrocardiogram measuring unit measures the heartbeat signal of the user and generates a heartbeat signal to be tested, and the posture sensing unit measures and calculates the physiological information corresponding to the heartbeat signal to be tested to calculate Obtain an exercise intensity, and then the conversion unit converts the heartbeat signal to be tested, the physiological information and the exercise intensity into an outputable format, and then transmits it by the transmission unit, and the physiological information includes the speed of travel and the body lean forward Angle, body temperature and heart rate; A storage module connected to the measurement module to record and store the heartbeat signal, physiological information and exercise intensity to be tested; and a plurality of samples of the heartbeat signal are stored in the storage module; and A processing module, which is installed in an electronic device and connected to the measurement module and the storage module, respectively, and the processing module includes a reading unit and a judgment unit connected to the reading unit, so as to The reading unit receives the heartbeat signal to be tested by the measurement module, and the physiological information and exercise intensity corresponding to the heartbeat signal to be tested, then reads a sample of the heartbeat signal from the storage module, and then cooperates with the judgment unit Comparing the heartbeat signal to be tested with the sample of the heartbeat signal to obtain a correlation coefficient, and then determining and classifying the correlation coefficient according to a preset preset range value to determine whether the heartbeat signal to be tested is abnormal. 根據申請專利範圍第1項所述之結合運動強度分析之異常心跳偵測裝置,其中,該處理模組另包含有一與該判斷單元連接之預警單元,以便該判斷單元判斷該待測心跳訊號為異常時,該判斷單元連動該預警單元發出警示。According to the abnormal heartbeat detection device combined with exercise intensity analysis described in item 1 of the patent scope, wherein the processing module further includes an early warning unit connected to the judgment unit, so that the judgment unit judges that the heartbeat signal to be tested is When abnormal, the judging unit interlocks the warning unit to issue a warning. 一種結合運動強度分析之異常心跳偵測方法,其包含有下列步驟:一量測步驟,其備有一檢測裝置,而前述該檢測裝置包含有一量測模組,一連接該量測模組且儲存有複數心跳訊號樣本之儲存模組,以及一分別連接該量測模組與該儲存模組且設於一電子裝置內之處理模組,以便藉由該量測模組針對使用者的心跳訊號進行量測,並產生一待測心跳訊號,同時該量測模組於一預定時間內收集該待測心跳訊號對應的生理資訊,而前述該生理資訊包含有行進速度、身體前傾角度、體溫與心率;一計算步驟,其透過該量測模組將前述生理資訊予以帶入一算式中,以計算出一運動強度,其中,該算式為:運動強度=(平均行進速度/最大行進速度)x行進速度佔比(%)+(平均身體前傾角度/最大前傾角度)x前傾角度佔比(%)+(平均體溫/最高體溫)x體溫佔比(%)+(平均心率/最高心率)x心率佔比(%);且該行進速度佔比、該前傾角度佔比、該體溫佔比及該心率佔比總和為百分之百;一轉換步驟,其藉由該量測模組將該待測心跳訊號、該生理資訊與該運動強度轉換為可輸出之格式;以及一判斷步驟,其透過該處理模組由該儲存模組內選定一心跳訊號樣本,再將該待測心跳訊號與該心跳訊號樣本進行比對計算以取得一相關係數,同時該處理模組預先設定有一預設範圍值,將該相關係數依據該預設範圍值進行判斷分類,藉以判斷該待測心跳訊號是否異常。 An abnormal heartbeat detection method combined with exercise intensity analysis includes the following steps: a measurement step, which is provided with a detection device, and the aforementioned detection device includes a measurement module, and a measurement module is connected and stored A storage module with a plurality of heartbeat signal samples, and a processing module respectively connected to the measurement module and the storage module and provided in an electronic device, so as to target the user's heartbeat signal by the measurement module Perform measurement and generate a heartbeat signal to be measured, and at the same time the measurement module collects physiological information corresponding to the heartbeat signal to be measured within a predetermined time, and the physiological information includes the speed of travel, body forward angle, and body temperature And heart rate; a calculation step, which uses the measurement module to bring the aforementioned physiological information into a formula to calculate an exercise intensity, where the formula is: exercise intensity = (average travel speed/maximum travel speed) x Travel speed ratio (%) + (average body forward angle / maximum forward angle) x forward angle ratio (%) + (average body temperature / maximum body temperature) x body temperature ratio (%) + (average heart rate / The highest heart rate) x heart rate ratio (%); and the total of the travel speed ratio, the forward tilt angle ratio, the body temperature ratio and the heart rate ratio is 100%; a conversion step is performed by the measurement module Converting the heartbeat signal to be tested, the physiological information and the exercise intensity into an outputable format; and a judging step, which selects a heartbeat signal sample from the storage module through the processing module, and then the heartbeat to be tested The signal is compared with the heartbeat signal sample to obtain a correlation coefficient. At the same time, the processing module sets a preset range value in advance, and classifies the correlation coefficient according to the preset range value to determine the heartbeat signal to be tested Is it abnormal? 根據申請專利範圍第3項所述之結合運動強度分析之異常心跳偵測方法,其中,該計算步驟後另具有一儲存步驟,藉以將前述該待測心跳訊號、該生理資訊與該運動強度記錄儲存於該儲存模組內。 The abnormal heartbeat detection method combined with exercise intensity analysis according to item 3 of the patent application scope, wherein after the calculation step, there is a storage step to record the heartbeat signal to be measured, the physiological information and the exercise intensity Stored in the storage module. 根據申請專利範圍第3項所述之結合運動強度分析之異常心跳偵測方法,其中,該判斷步驟後另具有一預警步驟,當該待測心跳被歸類為異常時,該處理模組連動該電子裝置發出警示通知。According to the abnormal heartbeat detection method combined with exercise intensity analysis described in item 3 of the patent application scope, wherein after the judgment step, there is an early warning step, when the heartbeat to be tested is classified as abnormal, the processing module is linked The electronic device issues a warning notice.
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Citations (3)

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Publication number Priority date Publication date Assignee Title
WO1994017861A1 (en) * 1993-02-04 1994-08-18 Abbondanza James M Pulse rate controlled exercise system
TW201544071A (en) * 2014-05-26 2015-12-01 Nat Univ Chin Yi Technology Method for detecting abnormal heartbeat signal and electronic apparatus thereof
WO2018139398A1 (en) * 2017-01-30 2018-08-02 日本電信電話株式会社 Activity state analysis device and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1994017861A1 (en) * 1993-02-04 1994-08-18 Abbondanza James M Pulse rate controlled exercise system
TW201544071A (en) * 2014-05-26 2015-12-01 Nat Univ Chin Yi Technology Method for detecting abnormal heartbeat signal and electronic apparatus thereof
WO2018139398A1 (en) * 2017-01-30 2018-08-02 日本電信電話株式会社 Activity state analysis device and method

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