TW200820939A - Method for measuring heart rate - Google Patents
Method for measuring heart rate Download PDFInfo
- Publication number
- TW200820939A TW200820939A TW95141767A TW95141767A TW200820939A TW 200820939 A TW200820939 A TW 200820939A TW 95141767 A TW95141767 A TW 95141767A TW 95141767 A TW95141767 A TW 95141767A TW 200820939 A TW200820939 A TW 200820939A
- Authority
- TW
- Taiwan
- Prior art keywords
- heart rate
- votes
- interval
- measurement method
- ballot box
- Prior art date
Links
Abstract
Description
200820939 九、發明說明: •【發明所屬之技術領域】 本案係關於一種心率量測方法,尤指一種高可靠度心 率量測方法。 【先前技術】 心跳速率是人體健康的一個重要參數,不論是運動時 或休息時的心跳速率,都具有重要的人體健康指標意義。 例如,有研究指出,不正常的運動心跳速率及不正常的心 跳速率回復速度是猝死的危險預兆,其中,過低的運動心 跳速率具有最高之猝死危險指數;而休息心跳速率越高, 或運動後心跳速率回復越慢的,危險指數也越高。 量測心跳速率最佳的方法便是進行心電圖(ECG)測 量,再利用心電圖的R-R區間(R-R interval)來計算心跳 速率。但利用心電圖來量測心跳速率成本過高且過於費事 而不可行。目前市面上已發展出多種心率監測器,可用來 監測運動時之心跳速率。心率監測器至少包含兩部分,分 別為一脈搏感應單元及一心率顯示單元,其中該脈搏感應 單元包含電極(或傳感器(transducer))以及一濾波電路。 然而,相較於心電圖技術,脈搏感應技術較容易受到人為 因素的干擾。 為了能精確地感應脈搏訊號,心率監測器之電極與皮 膚的接觸必須要非常穩定,而這往往取決於使用者之使用 方式,然而在量測運動時之心跳速率時,脈搏感應單元的 6 200820939 震動很容易造成雜訊的產生。 市售之感應單元包含一系列之組件來感應脈搏,如帶 通濾波器(band pass filter)、峰值檢波器(peak detector) 及射頻電路(Radio Frequency Circuit)等。由於其缺乏精 密的訊號處理,使得心率計算單元可能會將收到的雜訊視 為脈搏訊號,因此,這些未濾除的雜訊會造成心率顯示單 元顯示出錯誤的心跳速率值。 針對此種缺失,本發明人乃構思加以改善,經實作試 驗,終發明出本發明之方法。 【發明内容】 本案之主要目的在於提供一種心率量測方法,其係利 用多數決投票過程來濾除雜訊,以得出準確之心跳速率 值。 為達上述目的,本案之一較廣義實施樣態為提供一種 心率量測方法,係包含下列步驟:(a)利用一心率監測器在 一預定之訊號收集期間内收集訊號;(b)計算任兩個該訊號 間之間隔時間;(c)以該間隔時間之倒數計算出心率值;(d) 將前述步驟計算出之該心率值進行投票,分別投入代表不 同心率範圍之投票箱中;(e)找出得票數最高的投票箱;以 及(f)計算出心跳速率。 根據本案上述之構想,其中該訊號收集期間較佳為2 至8秒。 根據本案上述之構想,其中在步驟(a)中所收集到之訊 7 200820939 號包含脈搏訊號及雜訊訊號。 根據本案上述之構想,其中步驟(b)包含計算該訊號與 上一個訊號收集期間的最後一個訊號間之間隔時間。 根據本案上述之構想,其中在步驟(d)中僅針對在合理 心率範圍内之心率值進行投票,不在合理心率範圍内之心 率值則不進行投票。而合理心率範圍係為50-240。 在一實施例中,其中該投票箱之心率範圍係將合理之 R-R區間區分為複數個區間並換算成心率範圍而得,而該 合理之R-R區間係為0.25-1.2秒。 在另一實施例中,其中該投票箱之心率範圍係將合理 心率範圍以等增加率區分成複數個區間而得。 根據本案上述之構想,其中在步驟(e)中所找出的得票 數最高之投票箱係為一單一投票箱或為票數相加後得票 數最高之兩個相鄰投票箱。 根據本案上述之構想,其中在步驟(e)中,若無法找出 得票數最高之投票箱,則累計票數至下一訊號收集期間, 重複步驟(a)_(d)以找出得票數最南之投票箱。 根據本案上述之構想,其中步驟(f)係計算投入該得票 數最高之投票箱之該心率值的平均值而得出該心跳速率。 本案之另一廣義實施樣態為提供一種心率量測方 法,係包含下列步驟:(a)利用一心率監測器在一預定之訊 號收集期間内收集訊號;(b)計算任兩個該訊號間之間隔時 間;(c)將前述步驟計算出之該間隔時間進行投票,分別投 入代表不同間隔時間範圍之投票箱中;(d)找出得票數最高 8 200820939 的投票箱;以及(e)計算出心跳速率。 根據本案上述之構想,其中在步驟(c)中僅針對在合理 之R-R區間内之間隔時間進行投票,不在合理之r_r區間 内之間隔時間則不進行投票。該合歡R_R區間係為200820939 IX. Invention description: • [Technical field to which the invention belongs] This case relates to a heart rate measurement method, especially a high reliability heart rate measurement method. [Prior Art] Heart rate is an important parameter of human health, and it has important human health indicators, whether it is during exercise or at rest. For example, studies have shown that abnormal exercise heart rate and abnormal heart rate recovery rate are dangerous signs of sudden death, in which too low exercise heart rate has the highest risk of sudden death; and the higher the resting heart rate, or exercise The slower the heart rate recovery, the higher the risk index. The best way to measure heart rate is to perform an electrocardiogram (ECG) measurement and then use the R-R interval of the ECG to calculate the heart rate. However, the use of an electrocardiogram to measure heart rate is too costly and too laborious to be feasible. A variety of heart rate monitors have been developed on the market to monitor heart rate during exercise. The heart rate monitor comprises at least two parts, a pulse sensing unit and a heart rate display unit, wherein the pulse sensing unit comprises an electrode (or a transducer) and a filter circuit. However, pulse sensing technology is more susceptible to human interference than ECG technology. In order to accurately sense the pulse signal, the contact between the electrode of the heart rate monitor and the skin must be very stable, and this often depends on the way the user uses it. However, when measuring the heart rate during exercise, the pulse sensing unit 6 200820939 Vibration can easily cause noise. Commercially available sensing units include a range of components to sense pulse, such as band pass filters, peak detectors, and radio frequency circuits. Due to the lack of precise signal processing, the heart rate calculation unit may treat the received noise as a pulse signal. Therefore, these unfiltered noises may cause the heart rate display unit to display an incorrect heart rate value. In response to such a deficiency, the inventors have conceived and improved the method, and the invention has finally invented the method of the present invention. SUMMARY OF THE INVENTION The main purpose of the present invention is to provide a heart rate measurement method that utilizes a majority vote process to filter out noise to obtain an accurate heart rate rate value. To achieve the above objectives, one of the broader aspects of the present invention provides a heart rate measurement method that includes the following steps: (a) using a heart rate monitor to collect signals during a predetermined signal collection period; (b) calculating The interval between the two signals; (c) calculating the heart rate value by the reciprocal of the interval; (d) voting the heart rate value calculated in the foregoing step, and respectively inputting them into the ballot box representing the different heart rate ranges; e) find the ballot box with the highest number of votes; and (f) calculate the heart rate. According to the above concept of the present invention, the signal collection period is preferably 2 to 8 seconds. According to the above concept of the present invention, the information collected in the step (a) 7 200820939 includes a pulse signal and a noise signal. According to the above concept of the present invention, the step (b) includes calculating the interval between the signal and the last signal during the last signal collection period. According to the above concept of the present invention, in step (d), only the heart rate value within a reasonable heart rate range is voted, and the heart rate value not within the reasonable heart rate range is not voted. The reasonable heart rate range is 50-240. In one embodiment, wherein the heart rate range of the ballot box is obtained by dividing the reasonable R-R interval into a plurality of intervals and converting to a heart rate range, and the reasonable R-R interval is 0.25-1.2 seconds. In another embodiment, wherein the heart rate range of the ballot box is obtained by dividing the reasonable heart rate range into a plurality of intervals at an equal increase rate. According to the above concept of the present invention, the ballot box with the highest number of votes found in the step (e) is a single ballot box or two adjacent ballot boxes with the highest number of votes after the sum of the votes. According to the above concept in the present case, in step (e), if it is impossible to find the ballot box with the highest number of votes, the cumulative number of votes to the next signal collection period, repeat steps (a)-(d) to find the number of votes. The southernmost ballot box. According to the above concept of the present invention, step (f) calculates the heart rate by calculating the average of the heart rate values of the ballot box with the highest number of votes. Another broad aspect of the present invention provides a heart rate measurement method comprising the steps of: (a) utilizing a heart rate monitor to collect signals during a predetermined signal collection period; and (b) calculating between any two of the signals. (c) vote at the interval calculated by the preceding steps, and put them into ballot boxes representing different intervals; (d) find the ballot box with the highest number of votes 8 200820939; and (e) calculate Out of heart rate. According to the above concept in the present case, in the step (c), only voting is performed for the interval within the reasonable R-R interval, and voting is not performed at intervals not within the reasonable r_r interval. The Acacia R_R interval is
〇·25-1/2秒,而該投票箱之間隔時間範圍係將合理之R_R 區間等分成複數個區間而得。 …根據本案上述之構想,其t步驟⑷係以投人該得票數 取兩之投票箱之該間隔時間之倒數計 該心率值之平均值而得出該心跳速率。 “ 【實施方式】 體現本案特徵鱼辑駐 說明中* ”、、的一些典型實施例將在後段的 有各=案能夠在不同的態樣上具 圖式在本質上係當作說明::了的範圍:且其中的說明及 有鑑於習知之心率 =用以限制本案。 得出錯誤的心跳逮率值;濾除:訊’而容易 方法’其係利用多數決投I I ^可讀心率量測 準確之心跳速率值。不過知來重建R_R區間,以得出 在發;某些情況下無法區分開來,但它們〇·25-1/2 seconds, and the interval time range of the ballot box is obtained by dividing the reasonable R_R interval into a plurality of intervals. ... According to the above concept of the present invention, the t-step (4) is obtained by counting the average of the heart rate values by the reciprocal of the interval between the two ballot boxes. [Embodiment] Some typical embodiments embodying the characteristics of the fish in the description of this case will be described in the following paragraphs. Scope: and the description and the heart rate of the custom = to limit the case. The wrong heartbeat rate value is obtained; the filtering: the 'easy method' uses the majority of the decision I I ^ readable heart rate to measure the accurate heart rate value. However, it is known to reconstruct the R_R interval to get in the hair; in some cases, it cannot be distinguished, but they
區間的變異非常有 不相同的,例如在一短時間裡,R-R 較具規則性,而雜而相則否;換句換說,R-R區間 相發生間隔則較不規則。因此,根據此 9 200820939 種差兴’本案提出一種投票演算法來準確計算心跳速率。 以下將進一步說明本案之投票演算法。 首先,本案用以量測心率之投票演算法係藉由一微處 理器來執行,該微處理器係透過一般市售之心率監測器套 組來進行訊號偵測。該心率監測器包含胸帶、腕部顯示單 元及接收單元’其中該接收單元係連接至該微處理器。 請參閱第一圖,其係為本案訊號收集示意圖。如第_ 圖所不’ tl5 l ···,tn分別表示在一預定之訊號收集期間 (Signal Collecting Period,SCP )收到訊號 s ι,&,…,& 的時間 點,該訊號包括脈搏訊號(相當於心跳訊號)及雜訊訊號, 其中貫線係為脈搏訊號,而虛線則為雜訊訊號。另外,~ 係為此次訊號收集期間開始前所收到之最後一個訊號 S〇’亦即上一個訊號收集期間所收到的最後一個訊號。由^ 於雜訊的介入,R-R區間已被一或更多雜訊切割成數個片 段,因此無法直接利用這些訊號區間來重建R-R區間,故 須進一步計算任兩訊號間之間隔時間,找出真正的脈搏訊 號,進而得出濾除雜訊後之心跳速率值。 以第一圖為例,在訊號收集期間共收集到在ti,t2,t3,q ts等五個時間點出現的訊號Si,S2, I,S4, S5,分別計算往4 兩訊號之間隔時間,包括:The variation of the interval is very different. For example, in a short period of time, R-R is more regular, while heterogeneous phase is no; in other words, the interval between R-R intervals is more irregular. Therefore, according to this 9 200820939 kinds of cases, a voting algorithm is proposed to accurately calculate the heart rate. The voting algorithm of this case will be further explained below. First, the voting algorithm used to measure heart rate in this case is performed by a microprocessor that performs signal detection through a commercially available heart rate monitor kit. The heart rate monitor includes a chest strap, a wrist display unit, and a receiving unit 'where the receiving unit is coupled to the microprocessor. Please refer to the first figure, which is a schematic diagram of the collection of signals for this case. If the _ figure does not 'tl5 l ···, tn denotes the time point when the signal collection period (SCP) receives the signal s ι,&,...,& respectively, during a predetermined signal collection period (SCP), the signal includes The pulse signal (equivalent to the heartbeat signal) and the noise signal, wherein the line is a pulse signal, and the dotted line is a noise signal. In addition, ~ is the last signal received before the start of the signal collection period. S〇' is the last signal received during the last signal collection period. By the intervention of noise, the RR interval has been cut into several segments by one or more noises, so it is not possible to directly use these signal intervals to reconstruct the RR interval. Therefore, the interval between any two signals must be further calculated to find out the true The pulse signal, and then the heartbeat rate value after filtering the noise. Taking the first picture as an example, during the signal collection period, signals Si, S2, I, S4, and S5 appearing at five time points, such as ti, t2, t3, and q ts, are collected, and the interval between the two signals is calculated. ,include:
^ ~~^〇 h h-to U ~~ t5 -tQ i2 - q t3 —tx t4 —tx t5 —tl G -’2 h—h XA t5-13 h 10 200820939 並以間隔時間倒數算出心率,再將介於合理心率範圍 ( 50-240)内之心率數字投票至代表不同間隔時間範圍之 心率範圍投票箱中(例如將合理R-R區間(0.25秒-1.2秒) 等分成複數個區間範圍,再計算該等區間代表之心率範 圍),亦或是以等增加率區分合理心率範圍之心率範圍投 票箱(例如以增加率1 〇 %而言,投票箱之心率範圍分別為 [50-55]、[56-62]、[63-69]、[70-77]···,依此類推),而非 介於合理心率範圍内之心率數字則不進行投票。待取樣之 訊號收集期間結束時,審視投票結果,找出得票數最高的 投票箱,並認定得票數最高之投票箱即為真正心率所投 入,而產生這些心率的訊號即包含了真正的脈膊。然而, 若真正心率在投票箱心率範圍之邊界時,可能造成相鄰投 票箱票數相等而無單一最高票數票箱,為避免此情形,在 一較佳實施例中,係將兩個相鄰投票箱票數相加,找出得 票數最高之兩個相鄰投票箱,而投入此兩個相鄰投票箱之 心率值即為真正的心率,因此可取其平均計算出心跳速 率。 而在某些情況下,例如雜訊太多或是有脈搏訊號未被 偵測到時,可能會導致無法在單一訊號收集期間中找出得 票數最高之兩個相鄰票箱。若相鄰兩個票箱無法產生最高 票,則以最後一個訊號做為下一訊號收集期間的SO,並累 計票數至下一訊號收集期間,找出得票數最高之兩個相鄰 票箱。 如前所述,相較於雜訊之間隔時間,R-R區間之變異 200820939 較為有限,故票數最高的兩個相鄰投票箱較有可能係由真 正之R-R區間所計算出來的心率數字投票而得。因此,透 過任兩訊號間隔時間之計算及投票過程,以多數決方式找 出真正的脈搏訊號,即可準確地計算出心跳速率。 上述之訊號收集期間較佳為介於2至8秒之間,且該 訊號收集期間越短,解析度將越高。而投票時間可在每收 到一個訊號時,即算出它與前面訊號之間隔時間,並進行 投票,或是可在訊號收集期間結束時再進行投票。. 根據本案另一實施例,在上述投票過程中,除了以心 率範圍來進行投票外,當然亦可以訊號之間隔時間範圍來 進行投票。在此實施例中,將介於合理R-R區間(0.25秒 -1.2秒)内之間隔時間投票至不同間隔時間範圍之投票箱 中,例如將0.25秒-1.2秒等分成30個間隔時間範圍之投 票箱來進行投票,並找出得票數最高的兩個相鄰投票箱, 即可對應找出真正的脈搏訊號。同樣地,以投入該兩個相 鄰投票箱之間隔時間之倒數計算出心率值,並計算該心率 值之平均值即可得出心跳速率。 以下將說明應用本案投票演算法來計算心跳速率之 一實例。在此實例中,訊號收集期間定為4秒,且在此訊 號收集期間共收到13個訊號,分別為Sb S2, ...,S13,而上 一個訊號收集期間的最後一個訊號為S〇。 步鑕一:算出訊號間之間隔時間: 下表第一行列出S〇至Si (0.25秒)、S〇至S2 (0.50 12 200820939 秒)…、S〇S S13 (3.92秒)的間隔時間;第二行列出s】 至 S2 ( 0·25 秒)、S!至 S3 ( 0·33 秒)…、S!至 S13 ( 3.66 秒)的間隔時間;依此類推,直到312至S13 (0.56秒)的 間隔時間鼻出。 (單位:0.01秒)^ ~~^〇h h-to U ~~ t5 -tQ i2 - q t3 —tx t4 —tx t5 —tl G —'2 h—h XA t5-13 h 10 200820939 and calculate the heart rate by the reciprocal of the interval, then Heart rate numbers within a reasonable heart rate range (50-240) are voted into a ballot box representing a range of heart rate ranges (eg, a reasonable RR interval (0.25 seconds - 1.2 seconds) is divided into a plurality of interval ranges, and then calculated These ranges represent the heart rate range), or the heart rate range ballot box that distinguishes the reasonable heart rate range by equal increase rate (for example, in the case of an increase rate of 1%, the heart rate range of the ballot box is [50-55], [ 56-62], [63-69], [70-77]···, and so on), but not heart rate numbers within a reasonable heart rate are not voted. At the end of the signal collection period to be sampled, the voting results are reviewed to find the ballot box with the highest number of votes, and the ballot box with the highest number of votes is considered to be the true heart rate, and the signal generating these heart rates contains the real pulse. . However, if the true heart rate is at the boundary of the ballot box heart rate range, it may result in the number of votes in the adjacent ballot box being equal without a single maximum number of votes. To avoid this situation, in a preferred embodiment, two phases are The number of votes in the adjacent ballot box is added to find the two adjacent ballot boxes with the highest number of votes, and the heart rate value of the two adjacent ballot boxes is the true heart rate, so the average heart rate can be calculated. In some cases, such as too much noise or a pulse signal not being detected, it may result in the inability to find the two adjacent ticket boxes with the highest number of votes in a single signal collection period. If the two adjacent ticket boxes cannot generate the highest ticket, the last signal is used as the SO during the next signal collection period, and the number of votes is accumulated until the next signal collection period, and the two adjacent ticket boxes with the highest number of votes are found. . As mentioned above, the variation of RR interval 200820939 is more limited than the interval between noises. Therefore, the two adjacent ballot boxes with the highest number of votes are more likely to be voted by the heart rate number calculated by the real RR interval. Got it. Therefore, the heartbeat rate can be accurately calculated by finding the true pulse signal in a majority decision by the calculation of the interval between the two signals and the voting process. Preferably, the signal collection period is between 2 and 8 seconds, and the shorter the signal collection period, the higher the resolution. The voting time can be calculated every time a signal is received, and it can be voted on, or it can be voted at the end of the signal collection period. According to another embodiment of the present invention, in addition to voting in the heart rate range, it is of course possible to vote in the interval of the signal. In this embodiment, the interval between the reasonable RR intervals (0.25 seconds - 1.2 seconds) is voted into the ballot box of different interval time ranges, for example, 0.25 seconds - 1.2 seconds is equally divided into 30 intervals. Box to vote, and find the two adjacent ballot boxes with the highest number of votes, you can find the real pulse signal. Similarly, the heart rate is calculated by calculating the heart rate value by the reciprocal of the interval between the two adjacent ballot boxes, and calculating the average of the heart rate values. An example of applying the voting algorithm of this case to calculate the heart rate will be described below. In this example, the signal collection period is set to 4 seconds, and a total of 13 signals are received during the signal collection period, namely Sb S2, ..., S13, and the last signal during the last signal collection period is S〇. . Step 1: Calculate the interval between signals: The first line of the table below shows the interval between S〇 to Si (0.25 seconds), S〇 to S2 (0.50 12 200820939 seconds)..., S〇S S13 (3.92 seconds). The second line lists the interval between s] to S2 (0·25 seconds), S! to S3 (0·33 seconds)..., S! to S13 (3.66 seconds), and so on, up to 312 to S13 (0.56) Seconds interval between noses. (Unit: 0.01 seconds)
To \ So S1 S2 s3 s4 s5 S7 S8 S9 S 10 Sn S 12 Si 25 - - S2 50 25 - - S3 58 33 8 - - -* S4 100 75 50 42 - - S5 111 86 61 53 11 - - - - - - - - 126 101 75 67 25 14 - - - - - - - s7 165 140 115 107 65 54 39 - - - - - - S8 200 175 150 142 100 88 74 34 - - - - - s9 222 197 171 163 121 110 96 56 21 - - - - S i〇 279 254 229 221 179 167 153 113 79 57 - - - Sn 292 267 242 234 192 180 166 126 92 70 12 - - Sl2 335 310 285 277 235 224 209 169 135 113 56 43 - s 1 3 392 366 341 333 291 280 265 226 191 169 112 99 56To \ So S1 S2 s3 s4 s5 S7 S8 S9 S 10 Sn S 12 Si 25 - - S2 50 25 - - S3 58 33 8 - - -* S4 100 75 50 42 - - S5 111 86 61 53 11 - - - - - - - - 126 101 75 67 25 14 - - - - - - - s7 165 140 115 107 65 54 39 - - - - - - S8 200 175 150 142 100 88 74 34 - - - - - s9 222 197 171 163 121 110 96 56 21 - - - - S i〇279 254 229 221 179 167 153 113 79 57 - - - Sn 292 267 242 234 192 180 166 126 92 70 12 - - Sl2 335 310 285 277 235 224 209 169 135 113 56 43 - s 1 3 392 366 341 333 291 280 265 226 191 169 112 99 56
步驟二··以間隔時間倒數算出心率,如下表所示: ^N^rom To So s, s2 S3 s4 s5 s6 S7 s8 S9 S1 〇 S11 S12 Si 240 - - S2 120 240 - - s3 103 181 750 - - S4 60 80 120 142 - - - - - - - - - S5 54 69 98 113 545 - - - - - - - - S6 47 59 80 89 240 428 - - - - - - - S7 36 42 52 56 92 111 153 - - - - - - S8 30 34 40 42 60 68 81 176 - - - - - s9 27 30 35 36 49 54 62 107 285 - - - - S 10 21 23 26 27 33 35 39 53 75 105 - - - Sn 20 22 24 25 31 33 36 47 65 85 500 - - s 1 2 17 19 21 21 25 26 28 35 44 53 107 139 - s 13 15 16 17 18 20 21 22 26 31 35 53 60 107 13 200820939 步驟三··將上述在合理範圍内(5〇〜24〇)之心率數字投 票至以下區間内: 240-214:3 147-138:2 106-102:2 213-193:0 137-129:0 101-97:1 192-!75;2 128-121:0 96-92:1 174-161:0 120-113:3 91-88:1 160-148:1 112-107:4 87-84:1 83-81:1 68-67:1 58-57:0 80-77:2 66-65:1 56-55:1 76-74:1 64-62:1 54-54:3 73-72:0 61-61:1 53-52:3 71-69:1 60-59:3 51-50:0 其中,該等投票箱所代表之心、率範圍係將合理之R_R區間Step 2·· Calculate the heart rate by the reciprocal of the interval, as shown in the following table: ^N^rom To So s, s2 S3 s4 s5 s6 S7 s8 S9 S1 〇S11 S12 Si 240 - - S2 120 240 - - s3 103 181 750 - - S4 60 80 120 142 - - - - - - - - - S5 54 69 98 113 545 - - - - - - - - S6 47 59 80 89 240 428 - - - - - - - S7 36 42 52 56 92 111 153 - - - - - - S8 30 34 40 42 60 68 81 176 - - - - - s9 27 30 35 36 49 54 62 107 285 - - - - S 10 21 23 26 27 33 35 39 53 75 105 - - - Sn 20 22 24 25 31 33 36 47 65 85 500 - - s 1 2 17 19 21 21 25 26 28 35 44 53 107 139 - s 13 15 16 17 18 20 21 22 26 31 35 53 60 107 13 200820939 Step 3 · · Vote the above heart rate numbers within a reasonable range (5〇~24〇) to the following range: 240-214:3 147-138:2 106-102:2 213-193:0 137-129:0 101- 97:1 192-!75;2 128-121:0 96-92:1 174-161:0 120-113:3 91-88:1 160-148:1 112-107:4 87-84:1 83 -81:1 68-67:1 58-57:0 80-77:2 66-65:1 56-55:1 76-74:1 64-62:1 54-54:3 73-72:0 61 -61:1 53-52:3 71-69:1 60-59:3 51-50:0 where The heart of such a ballot box on behalf of, the Department of rate ranges reasonable range R_R
(0.25秒-1.2秒、)區分成3〇個間隔時間範圍,再以該間隔 時間倒數算出上述心率範圍。 ^^1待取樣之訊號收集期間結束時,審視相鄰兩個票 相’找出得票數最高的兩個相鄰票箱。上例中最高票為 [120-113]及[112_1G7]兩個相鄰票箱,因此可將步驟二表 中在107-12G w率範圍之數字畫底線,而產生這些心率的 訊號即為可能之脈搏訊號,故此例中之脈搏訊號應包含於 0 2 s3 s4 s5、s7、s9、s10、s12、s13 中。亦即,在 此4秒之訊號收集期間所收集到的真正心率值應為12〇、 120、107、107、in、111、 ill、107,因此可取其平均算 心跳速率。 當然,若相鄰兩個票箱無法產生最高票,則以最後一 個訊號S13做為下—訊號收集期_ Sq,並累計票數至下 -訊號收集期·間,並重複步驟_至步驟四。 訊號收集期間的S〇 ,並 ##五··_以最後一個訊號做為下一 14 200820939 清除票數,再從步驟一開始。如此,便可在一段連續時間 内,持續地偵测即時(real-time )之心跳速率。 為進一步檢测本案用於心率量測之投票演算法之準 確性,茲將本案測出之心率值與利用心電圖所測出之心率 值進行比較。由於運動時之雜訊過多,使得無法從三導心 電圖讀出R-R區間,因此將利用本案之投票演算法在一段 連續時間内量測休息之心率以及運動後之回復心率與利 用三導心電圖測得之心率相比較。第二圖顯示分別用本案 投票演算法及三導心電圖所測得之休息時心率,而第三圖 顯示分別用本案投票演算法及三導心電圖所測得之運動 後回復心率,其中,實線係代表利用本案投票演算法所測 得之心率,而虛線則代表利用三導心電圖所測得之心率。 從第二圖及第三圖可知,利用低成本之心率監測器配合本 案之多數決投票演算法所測得之心率相當逼近利用三導 心電圖所測得之心率,且其誤差約為3%,係在可接受的 誤差範圍内。因此,本案之多數決投票演算法確實可濾除 雜訊,得出較準確之心率值。 此外,在第三圖中出現一部分誤差(圈選處),該估 測之心率值約為實際心率值之一半,然而該誤差可能是由 於中間的脈搏訊號未被偵測到,使得包含兩個R-R區間的 間隔時間加入投票且成為多數,因而得出僅有實際心率值 一半之測量值,故此誤差係由漏失的脈搏訊號所造成,而 非雜訊訊號所造成。再者,從圖中可見,本案之多數決投 15 200820939 票演算法可迅速重新恢復正確之心率值估算,而前述包含 兩個R-R區間之誤差亦可輕易地濾除。因此,本案之多數 決投票演算法係為相當可靠之心率量測方法。 第四圖顯示分別用本案投票演算法及十二導心電圖 所测得之運動時心率,其中,十二導心電圖儀器係配合跑 步機之五個運動階段,每隔3分鐘取樣10秒鐘來讀出心 率值。同樣地,實線係代表利用本案投票演算法所測得之 心率,而虛線則代表利用十二導心電圖所測得之心率。圖 中第二至五個運動階段之心率被放大顯示,亦可見本案之 投票演算法具有相當好之準確度。 綜上所述,本案係提出一種高可靠度心率量測方法, 其係利用多數決投票過程來重建R-R區間’避免雜訊干擾 而得出準確之心跳速率值。此外,本案僅需配合低成本之 心率監測器來偵測訊號,而無需高成本及高人力之心電圖 儀器,即可求得準確性與心電圖相當之心率值,可提供作 為人體健康指標的重要參考。因此,本案具有極高之創作 價值,爰依法提出申請。 本案得由熟知此技術之人士任施匠思而為諸般修 飾,然皆不脫如附申請專利範圍所欲保護者。 16 200820939 【圖式簡單說明】 第一圖:係為本案訊號收集示意圖。 第二圖:顯示分別用本案投票演算法及三導心電圖所測得 之休息時心率。 第三圖:顯示分別用本案投票演算法及三導心電圖所測得 之運動後回復心率。 第四圖:顯示分別用本案投票演算法及十二導心電圖所測 得之運動時心率。 【主要元件符號說明】(0.25 sec - 1.2 sec.) is divided into 3 interval time ranges, and the heart rate range is calculated by reciprocal of the interval time. ^^1 At the end of the signal collection period to be sampled, examine the two adjacent tickets to find the two adjacent ballot boxes with the highest number of votes. In the above example, the highest votes are [120-113] and [112_1G7] two adjacent ballot boxes, so it is possible to draw the bottom line in the range of 107-12G w in the second table. The pulse signal, so the pulse signal in this example should be included in 0 2 s3 s4 s5, s7, s9, s10, s12, s13. That is, the true heart rate values collected during the 4-second signal collection should be 12〇, 120, 107, 107, in, 111, ill, 107, so the average heart rate can be taken. Of course, if the two adjacent ticket boxes cannot produce the highest ticket, the last signal S13 is used as the next-signal collection period _Sq, and the number of votes is accumulated to the next-signal collection period, and steps _ to step four are repeated. . S〇 during the signal collection period, and ##五··_ with the last signal as the next 14 200820939 Clear the number of votes, and then start from the first step. In this way, the real-time heart rate can be continuously detected for a continuous period of time. In order to further test the accuracy of the voting algorithm used in heart rate measurement, the heart rate value measured in this case is compared with the heart rate value measured by the electrocardiogram. Due to too much noise during exercise, it is impossible to read the RR interval from the three-lead ECG. Therefore, the voting algorithm of this case will be used to measure the resting heart rate and the recovery heart rate after exercise and the measurement using the three-lead electrocardiogram. The heart rate is compared. The second graph shows the resting heart rate measured by the voting algorithm and the three-lead ECG, respectively, and the third graph shows the heart rate after exercise using the voting algorithm and the three-lead ECG, respectively. The representative uses the heart rate measured by the voting algorithm in this case, while the dotted line represents the heart rate measured using the three-lead ECG. As can be seen from the second and third figures, the heart rate measured by the low-cost heart rate monitor combined with the majority voting algorithm of the case is quite close to the heart rate measured by the three-lead electrocardiogram, and the error is about 3%. It is within acceptable tolerances. Therefore, the majority voting algorithm in this case can filter out the noise and get a more accurate heart rate value. In addition, a part of the error (circle) is displayed in the third figure, and the estimated heart rate value is about one-half of the actual heart rate value. However, the error may be due to the fact that the intermediate pulse signal is not detected, so that the two are included. The interval between the RR intervals is added to the vote and becomes a majority, so that only the measured value of only half of the actual heart rate value is obtained, so the error is caused by the missing pulse signal, not by the noise signal. Furthermore, as can be seen from the figure, the majority of the decision in this case 15 200820939 ticketing algorithm can quickly restore the correct heart rate value estimation, and the above error containing two R-R intervals can be easily filtered out. Therefore, the majority voting algorithm in this case is a fairly reliable heart rate measurement method. The fourth graph shows the heart rate measured by the voting algorithm and the 12-lead ECG, respectively. The 12-lead ECG instrument is used in conjunction with the treadmill's five stages of exercise, sampling every 10 minutes for 10 seconds. Heart rate value. Similarly, the solid line represents the heart rate measured using the voting algorithm of the case, and the dotted line represents the heart rate measured using the 12-lead ECG. The heart rate of the second to fifth stages of the exercise is shown enlarged, and it can be seen that the voting algorithm in this case has a fairly good accuracy. In summary, this case proposes a high-reliability heart rate measurement method, which uses the majority voting process to reconstruct the R-R interval to avoid noise interference and obtain accurate heart rate values. In addition, this case only needs to cooperate with the low-cost heart rate monitor to detect the signal, without the need of high cost and high manpower ECG instrument, you can get the heart rate value with the accuracy and ECG, which can provide an important reference for human health indicators. . Therefore, this case has a very high creative value and is submitted in accordance with the law. This case has been modified by people who are familiar with the technology, but it is not intended to be protected by the scope of the patent application. 16 200820939 [Simple description of the diagram] The first picture: is a schematic diagram of the collection of signals for this case. Figure 2: shows the rest time heart rate measured by the voting algorithm and the three-lead ECG. The third picture shows the heart rate after exercise measured by the voting algorithm and the three-lead ECG. Figure 4: shows the heart rate during exercise measured by the voting algorithm and the 12-lead ECG. [Main component symbol description]
1717
Claims (1)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW95141767A TW200820939A (en) | 2006-11-10 | 2006-11-10 | Method for measuring heart rate |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW95141767A TW200820939A (en) | 2006-11-10 | 2006-11-10 | Method for measuring heart rate |
Publications (1)
Publication Number | Publication Date |
---|---|
TW200820939A true TW200820939A (en) | 2008-05-16 |
Family
ID=44770335
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW95141767A TW200820939A (en) | 2006-11-10 | 2006-11-10 | Method for measuring heart rate |
Country Status (1)
Country | Link |
---|---|
TW (1) | TW200820939A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI583356B (en) * | 2014-09-09 | 2017-05-21 | Nippon Telegraph & Telephone | Heart rate detection method and heart rate detection device |
TWI583355B (en) * | 2014-09-04 | 2017-05-21 | Nippon Telegraph & Telephone | Heart rate detection method and heart rate detection device |
TWI637725B (en) * | 2016-05-13 | 2018-10-11 | 大金工業股份有限公司 | Biological information acquisition device |
US10575736B2 (en) | 2016-05-13 | 2020-03-03 | Daikin Industries, Ltd. | Biometric information acquisition device |
-
2006
- 2006-11-10 TW TW95141767A patent/TW200820939A/en unknown
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI583355B (en) * | 2014-09-04 | 2017-05-21 | Nippon Telegraph & Telephone | Heart rate detection method and heart rate detection device |
TWI583356B (en) * | 2014-09-09 | 2017-05-21 | Nippon Telegraph & Telephone | Heart rate detection method and heart rate detection device |
TWI637725B (en) * | 2016-05-13 | 2018-10-11 | 大金工業股份有限公司 | Biological information acquisition device |
US10575736B2 (en) | 2016-05-13 | 2020-03-03 | Daikin Industries, Ltd. | Biometric information acquisition device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10863921B2 (en) | Method and apparatus for determining a respiration rate of a subject | |
CN110664390B (en) | Heart rate monitoring system and method based on wrist strap type PPG and deep learning | |
CN105852851B (en) | Atrial fibrillation detection system | |
US20040228217A1 (en) | Devices and methods for heart rate measurement and wrist-watch incorporating same | |
EP2173242B1 (en) | Method and apparatus for measuring breathing rate | |
CA2588831A1 (en) | Methods and systems for real time breath rate determination with limited processor resources | |
CN109480783B (en) | Apnea detection method and device and computing equipment | |
WO2009157185A1 (en) | Pain judging device | |
CN108056769A (en) | A kind of vital sign parameter signals analysis and processing method, device and vital sign monitoring device | |
JP2014505566A (en) | Respiration monitoring method and system | |
CN110236573A (en) | The detection method and relevant apparatus of psychological pressure state | |
CN105832289A (en) | Method and equipment using Hilbert transform to estimate biophysiological rates | |
WO2007032226A1 (en) | Heart rate meter and method for removing noise of heart beat waveform | |
CN105705079A (en) | Device, method and system for processing a physiological signal | |
CN105588577A (en) | Detection method and detection apparatus for abnormal step counting in exercise monitoring device | |
CN108601543B (en) | ECG signal processing method and device | |
CN107072550A (en) | Body moves recording method and device | |
TW200820939A (en) | Method for measuring heart rate | |
CN107811631A (en) | Electrocardiosignal method for evaluating quality | |
WO2009127799A1 (en) | Method and apparatus for measuring breathing rate | |
CN110115583A (en) | The method and apparatus of monitoring of respiration | |
CN108186018B (en) | Respiration data processing method and device | |
CN111839494A (en) | Heart rate monitoring method and system | |
CN101176662A (en) | Method for measuring heart rate | |
CN110595502A (en) | Running distance estimation method and device |