200824650 九、發明說明： 【發明所屬之技術領域】 .-種心電圖R軸獅、方法與麵可執行記錄媒體，且 特別是-種以修正視賴出並自動更正心額波形之正確r波位 置，以及遽除間距不符要求之幻皮以產生心律變異分析圖之心電 圖R波偵_統、枝與電腦可執行雜媒體。 【先前技術】 人體最基本的生命現㈣心跳、血壓 I!：：：：：；： 的=^標。人類的心臟血㈣統是由許多彼此互相作用 等心0 臟之疾病’例如心律不整、房室阻斷及心肌梗塞 形至少包括τ P ^ %圖之杨週期代表心臟的—次律動，一個波 波U0的臟跳動過程中的心肌興奮與電位傳導情形。P R波13。、：：::·〇6秒至0.1秒，代表心房興奮;Q波120、 興奮開始.τ、/的持續_約_秒至(U秒，代表心室 1 . 场、，代表的興奮終 隔時間來代表㈣的間 表心跳率越高。 成代表心跳率越低，RR間隔越小代 由量k跳圖進行心律變異分析，可找出心臟之病因。心律 200824650 受異分析之前，找出正確的R波位置為1不可或缺的步驟，沙 而透過PT—QRS偵測機制在心電圖所找到的R波位置往往盘餘= R波位置抑，後續心律類分析結果，甚纤=際 〇6993389 的病人衫合雜时自心臟外L卿復合波寬^ 非同步的治療，此發明是透過植入病人體内之電極量測心=為 化的起始及結束時間而計算RR間隔， 極 量測時编賴，而造成Μ人以1、㈣發明可能存在電極 變異分析結果。成酉4人貝在分析輪出資料時誤判心律 【發明内容】 鑒於上狀誤判心額波形之R波， 問題’本發明的目的在於提供 :律义異刀析的 電圖R波偵測系統與方法，本發明以3皮·^電圖R波位置之心 修正視窗糾正確的R、gf 』錢絲礎，透過 態’而達到自動修正確&波位w 波< 置疋否付合常 、、 置及正確分析心律變異率。 '“'達上14目的’本發縣由系 ^ 所揭露之自動更正 、方法兩方面達成。本發明 有··—個_，用波侧統，包括 用以將制之心跳轉為數位背者個偵測訊號處理模組， 依據此數位鳩生糊=1細爾靴組，用以 之數個第-尖峰為R波;—個=:電圖之波形中相對極大 波推响挺組，用以找出至少一個 Q視自裡的多個第—尖學中相對極们 此心電圖所有波形中的R波， 口弟一大丰，以修正 依據建構在心臟生理學的模糊 6 200824650 理論設計-個模糊變數狀間距隸屬函數，用來計算出至少一個 狀間距核糊變數，並且濾除小於臨界值的狀間距模糊變數，以 產生個〜律交異分析以及一固顯示模組，用以顯示/輸出心 電圖及心律變異分析圖。 、 本發明所揭露之方法，包括有下列步驟：首先，依據輸入之 心龜號產生心電圖；之後，找出此心電圖之波形中相對極大之 數:弟-尖峰當作R波，並依據這些R波的位置設置對應之修正 、—自X及找出此修正視窗的這些第—尖峰中相對極大的 =蜂為紅叙R波；·，確認修正後的這些r波位 ==順整修正視窗之寬度，並找出調整後的 L子_ I些第—尖岭裡相對極大的一個 之R波；紅销計算· R波之舰，並半^正後 , £卫依猓建構在心臟生理 广㈣計—個模糊變數狀間距隸屬函數以計管至少一 個RR間距模糊孿數 斤至乂 护文、 濾除小於臨界值的RR間距模糊變數並 據以產生心律變異分析圖。 · 次婁亚 上述之動態轉換頻道的頻寬預 讀狄峨體形㈣電腦蝴加‘桃咐電腦可200824650 IX. Description of the invention: [Technical field to which the invention pertains] - An electrocardiogram R-axis lion, method and surface executable recording medium, and in particular, correct correcting and automatically correcting the correct r-wave position of the heart-shaped waveform And removing the illusion that the spacing does not meet the requirements to produce a heart rhythm analysis chart of the ECG R wave detection system, branch and computer executable multimedia. [Prior Art] The most basic life of the human body is now (4) Heartbeat, blood pressure I!:::::;: =^. The human heart blood (four) system is composed of many diseases that interact with each other, such as arrhythmia, atrioventricular block, and myocardial infarction, including at least the τ P ^ % map. The Yang cycle represents the heart-sub-law, a wave. Myocardial excitation and potential conduction during the process of dirty beating of wave U0. P R wave 13. , ::::·〇6 seconds to 0.1 seconds, representing atrial excitement; Q wave 120, excitement begins. τ, / persistence _ about _ seconds to (U seconds, representing the ventricle 1. Field, representative of the excitement interval Time to represent (4) the higher the heart rate of the inter-table. The lower the representative heart rate, the smaller the RR interval is, and the heart rhythm analysis can be performed by the k-jump graph. The cause of the heart can be found. Before the heart rhythm 200824650 The correct R wave position is an indispensable step. The R wave position found in the electrocardiogram through the PT-QRS detection mechanism is often the disc = R wave position, and the subsequent heart rhythm analysis results. 6993389 The patient's shirt is mixed from the heart outside the L-complex wave width = non-synchronous treatment, the invention is to calculate the RR interval by measuring the heart of the implanted patient's body = the start and end time of the The measurement is compiled, and the result of the electrode variation analysis may be caused by the invention of the deaf person. (1) The four-person shellfish misjudges the heart rhythm when analyzing the rounded data. [Inventive content] In view of the R-wave of the heart shape waveform Problem 'The purpose of the present invention is to provide: R wave detection system and method, the invention corrects the R, gf 』钱丝 basis of the R-position of the R-wave position of the 3 pico-electrogram, and realizes the automatic correction and the wave position w wave through the transmission state < Set whether to pay for the usual, and correctly analyze the rate of heart rate variability. '" 'Up to 14 goals' This county has been achieved by the automatic correction and method disclosed by the department ^. The invention has a ··· _, using the wave side system, including a detection signal processing module for jumping the heart of the system into a digital back, according to the digital 糊 =1 =1 细 细 细 细 细 细 细 细 细 细 细 细 细 细 细 细 细 细 细Wave;—a =: The relative maximal wave in the waveform of the electrogram is used to find the R wave in all the waveforms of the electrocardiogram in at least one of the Q-points. The younger brother, abundance, based on the modified basis of the heart physiology of the fuzzy 6 200824650 theoretical design - a fuzzy variable spacing membership function, used to calculate at least one interval of the core paste variable, and filter out the gap spacing less than the critical value Variables to generate a ~ law analysis and a solid display module for display / Output electrocardiogram and heart rhythm variation analysis diagram. The method disclosed in the present invention includes the following steps: First, an electrocardiogram is generated according to the input heart turtle number; after that, the relatively large number of the waveform of the electrocardiogram is found: the brother-spike As the R wave, and according to the position of these R waves, the corresponding correction, - from X and the relatively large of these first peaks to find the correction window = bee is red R wave; ·, confirm the corrected r wave position == correct the width of the window, and find the adjusted L child _ I some of the relatively large R wave in the first ridge; red pin calculation · R wave ship, and half ^ positive , 卫卫依猓 constructed in the heart physiology wide (four) meter - a fuzzy variable spacing membership function to calculate at least one RR spacing fuzzy 孪 斤 乂 乂 乂 、 、 、 、 、 、 、 、 、 、 、 滤 滤 滤 滤 滤 滤 滤 滤 小于 小于 小于Heart rhythm variation analysis chart. · 娄 娄 亚 The above-mentioned dynamic conversion channel bandwidth pre-reading Di 峨 shape (four) computer butterfly plus ‘tao 咐 computer can
^ R 變數欣間距隸屬函數計算_距的模糊變之=Μ她糊 值的RR間距模糊變數，而據以產生心律變異八::除上於 發明可自動修正確R波位置及 聿:：此’本 、交異分析圖供臨床 200824650 上分析心律變異使用 誤判0 避免因錯誤的R波位置資訊造成分析上的 一有關本發明之詳細特徵與實作，兹配合圖示在實施方式中詳 :、田况=如下’其内容足以使任何熟習相陳藝者了解本發明之技 術内谷亚據以貫施，且根據本說明書所揭露之内容及圖式，任何 熟習相關技藝者可輕易地理解本發_關之目的及優點。 【實施方式】 。本發明之目的及其執行料在下列難實施例巾詳細說明 二而本♦明之概念亦可用於其他顧。以下列舉之實施例僅 用；兒月本毛明之目的與執行方法，並非用以限制其範圍。 第2圖係本發明實施例所提之自動更正心電圖波形之R波位 =心電圖R波偵測系統示意圖。請參考第2圖，本實施例為自 心電圖波形之R波位置的心電，波偵測系統(以下簡稱為 、糸、.先），適於找出心電圖波形之正確的R波位置以進行心律變里 在本實施例中，本系統至少包括—個感應器训，用來偵 ^物㈣^個偵測訊號處理模組22〇，用來將心跳轉為 =立訊號二倾位訊號處理池別，依據這錄位訊號產生 圖並定我此、电圖之波形中相對極大的數個第一尖缘為厌 波；—個R波推論模組謂，對心電圖波形中各個第-尖峰設置 ^個修正《，並找出修正視t中多_—料的—個相對極大 ' 尖峰作為R _正之位置，以及轉建構在頻生理學的 _理論設計模糊變數RR間距隸屬函數，輸入各個r波之間距 以計算至少—讀間距馳，並將小難界值的RR間距模 200824650 糊魏瀘、除以產生心律變異分析圖；以及—個顯示模組25〇，用 以顯不/輸出R波推論模組產生之心電圖及心律變異分析圖。 其中，感應器210例如是一個(組)感測電極、或感測探針；偵 測訊號處理模組220至少包括一個放大器222、-個類比數位轉 換器224、—個高/低通濾波器226、以及一個微分器228 ;數位訊 號處理模組至少包括一個演算法晶片放及儲存單元234，用於 將數位訊號經過例如平方缝、移動«積分法等演算法產生上 述之心電圖以及儲存心電圖波形之數據(如波形之振幅、頻率)供尺 波推論模組處理，其中心電圖之波形由至少-P波、Q波、R波、' S波、以及T波組成；而執行R波推論模組240所設計的模糊變 數收間距隸屬函數需設定之參數至少包括起始支持數值、結束 2持數值、起始核讀值、結束核雜值、以及臨界值，&波推 論模組自數位訊號處理模組中的儲存單元抓取R波間距之資訊 入核糊又數RR間距隸屬函數求得上述之跋間距模糊變數。 接著講述執行本系統之方法流程，第3圖係本發明實施例所 θ之自動更正心電u波形之R波位置的心電圖R波偵測方法流程 圖。請參照第3圖，首先，步驟⑷依據輸入之心跳訊號產生心電 圖(S3⑼；接著，在步驟⑻找出心電圖波形中相對極大_ 一尖蜂當料紅位置，魏據這些R波之位置設置對應的 裡的多_—尖峰中找出相對極大的 卫乂此第—大鋒作為修正後之R波(S32〇);铁後， 步驟(C)中確認修正的這些R波的位置Μ = ⑼’若R波的位置不正確則調整該修正視窗之寬度，並)再== 9 200824650 步驟(B)之程序(S340);在步驟(E)，若R波的位置正確則計算這些 R波之間距，並依據建構在心臟生理學的模糊理論設計一個模糊 、交數RR間距隸屬函數以計算至少一個狀間距模糊變數，以及濾 除小於臨界值的RR間距模糊變數，並據以產生一個心律變異分 析圖(S350)。 接繽上一段洛，在步驟(A)提及之心電圖之波形至少由一個p 波、Q波、R波、S波、以及丁波組成，而步驟(B)提及之設置對 ⑩應的修正視窗之步驟如下：首^，輸人心電圖波形之各個第一尖 =所纽置。接著，以這些第—尖峰之位置為修正視窗之中心， &置第大峰對應的修正視窗，其巾修正視窗的起點位置設為修 正視窗中心與前—個第—尖峰位置之中心點，而修正視窗的終點 位置則没為修正視窗中心與後一個第一尖蜂位置之中心點。 在設置修正視錢，即尋找修正視窗的_個第二鱗作為更 正之R波，而在上述步驟⑼更包括判斷心電圖之波形，若兩連續 • # R波之間不存在τ波或不同時存在P纽T波，則表示此心電 圖的波形不正確，此時亦需重新執行上述之步驟⑻以尋找r波之 正確位置。 ' ; 糾，在上述步驟⑹提到了模糊魏RR間距隸屬函數之設 : 置，其中模糊變數狀間距隸屬函數至少需輸入起始支持數值又 -結束域數值、起純讀值、結束核心數值、叹值等象 數而R波之間距在不同條件下對應到不同的運算式·、多 當在連續R波之間距大於起始支持數值且小於起始核心 時’模糊變數RR間距隸屬函數可表為： 乂’ 10 200824650 沿?間趴模糊變數=連續β波之間距-起始支持數値〇 起始核心數値-起始支持數値 當連續R波之間距大於結束核心數值且小於結束 時，模糊變數RR間距隸屬函數可表為： 、 糸買波之間距—結束核心數値 結束支持數値-結束核心數値 ：' 問距模糊變數 肌丨氷又付數®-結來核心數値 當連績R波之間距介於起始核心數值及結束核心、數值之間 時，模糊變數RR間距隸屬函數可表為·· φ 狀間距模糊變數。 以及當連續R紅咖A於結束支持數值或小於起始支持數 值時，模糊變數RR間距隸屬函數可表為： 幻?間距模糊變數=〇。 以下列舉出本實施例之操作範例，本範例.為使用實施例之系 統及方法賴—受财，喊生^岐_心、電圖波形中正確 的R波位置’進而分析心律變異。第4圖係本發明之—實施例提 # ^之測試受測者產生的心電圖。請參照第4圖，首先，以一個㈢ 感^對㈣者採集心跳數據，本系統之偵測訊號處理模組將心 跳轉献位訊號，域由數位喊處理她產生《圖·，以 .=分析此心電圖之波形及找出R波之位置如第5圖所示 q θ林發明貫施例所提之經判斷R波位置之心電圖。請朱昭 …=，：電圖4。0之波形之組成包含ρ波、q波、r波、以: -^波，通常R波之振幅最高，因此部分之判斷R波方式為取 心電圖伽某—段波形之相對最高的第-尖峰定為R波之位置。 然而早看局部之波段有可能誤判R波之位置，例如在第$圖之心 η 200824650 電圖獅可發現部分的第—尖峰 對找出的R波位置進行修…w之起始點以下。此時， 中心設置-個修正視窗。7修正視窗3^為各自以每一似波為 心之R波位置與前，波位置之中：：設為:正:窗中 $為:正視窗中:之R波位置與後，波:束: 4正視自510即騎5 _射—個 可發現R波並不是相對最高的第—尖峰:^正見固训 R波位置。 口此而1W正原來定義的 f 2 帛6圖財判實麵顺之雜正R波位 置之心電圖。請參照第6圖’在心電圖_的修正視窗51^ 波位置改為弟-尖♦中相對較高的—個第 心電圖400中，一些不合理(定義之 在弟5圖的^ R variable 间距 间距 隶 隶 计算 计算 距 距 距 距 距 距 距 距 距 距 距 距 距 距 距 距 距 距 距 糊 糊 糊 糊 糊 RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR RR 'This, cross-analysis chart for the analysis of heart rhythm variation on clinical 200824650 using misjudgment 0 to avoid the analysis of the detailed characteristics and implementation of the invention due to the wrong R-wave position information, in conjunction with the diagram in the implementation details: , the situation = the following 'the content is enough to make any of the familiar art practitioners understand the technology of the present invention, and according to the content and the schema disclosed in this specification, any familiar art can easily understand The purpose and advantages of this issue. [Embodiment] The object of the present invention and its execution materials are described in detail in the following difficult embodiments. The concept of the present invention can also be applied to other considerations. The examples listed below are for use only; the purpose and method of execution of the child is not intended to limit its scope. FIG. 2 is a schematic diagram of an R-wave position of an auto-correcting electrocardiogram waveform according to an embodiment of the present invention. Referring to FIG. 2, the present embodiment is an electrocardiogram, a wave detection system (hereinafter referred to as "糸, first") from the R wave position of the electrocardiogram waveform, and is suitable for finding the correct R wave position of the electrocardiogram waveform for performing. In the present embodiment, the system includes at least one sensor training, which is used to detect the object (four) and the detection signal processing module 22〇, and is used for processing the heart to be the signal of the second signal. Pool, according to this recording signal generation map and set me, the relatively large number of first sharp edges in the waveform of the electrogram is anaphysing; - an R wave inference module said, for each keel in the ECG waveform Set ^ corrections, and find out the correction of the _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The distance between the r waves is calculated by at least the read interval, and the RR interval mode of the small difficulty value is divided by the 200824650 paste, and the heart rhythm analysis chart is generated; and a display module 25〇 is used to display/output. Electrocardiogram and heart rhythm variation generated by R wave inference module Fig. The sensor 210 is, for example, a (group) sensing electrode or a sensing probe. The detecting signal processing module 220 includes at least one amplifier 222, an analog-to-digital converter 224, and a high/low pass filter. 226, and a differentiator 228; the digital signal processing module includes at least one algorithm wafer placement and storage unit 234 for generating the electrocardiogram and storing the electrocardiogram waveform by performing an algorithm such as a square slit, moving «integral method, and the like. The data (such as the amplitude and frequency of the waveform) is processed by the ruler inference module, and the waveform of the central electrogram is composed of at least -P wave, Q wave, R wave, 'S wave, and T wave; and the R wave inference module is executed. The parameters of the fuzzy variable-receiving membership function designed by 240 include at least the initial support value, the end 2 hold value, the initial nuclear read value, the end nuclear value, and the critical value, & wave inference module self-digital signal The storage unit in the processing module captures the information of the R wave spacing into the nucleus and the RR interval membership function to obtain the above-mentioned 跋 spacing fuzzy variable. Next, the flow of the method for executing the system will be described. Fig. 3 is a flow chart showing the method of detecting the R wave of the R wave at the R wave position of the auto-correcting electrocardiogram of the θ of the embodiment of the present invention. Please refer to FIG. 3, firstly, step (4) generates an electrocardiogram according to the input heartbeat signal (S3 (9); then, in step (8), finds the relative maximum in the electrocardiogram waveform _ a pointed bee red position, according to the position setting of these R waves In the _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 'If the position of the R wave is not correct, adjust the width of the correction window, and then == 9 200824650 Procedure of step (B) (S340); in step (E), calculate the R wave if the position of the R wave is correct In addition, according to the fuzzy theory constructed in cardiac physiology, a fuzzy, intersection RR interval membership function is designed to calculate at least one interval-space fuzzy variable, and the RR-space fuzzy variable smaller than the critical value is filtered, and a heart rhythm is generated accordingly. Variation analysis chart (S350). In the case of a piece of Luo, the waveform of the electrocardiogram mentioned in the step (A) is composed of at least one p wave, Q wave, R wave, S wave, and Ding wave, and the setting mentioned in the step (B) is 10 The steps to correct the window are as follows: First ^, the first tip of the input ECG waveform = the current position. Then, the position of the first peak is used as the center of the correction window, and the correction window corresponding to the largest peak is set, and the starting position of the towel correction window is set as the center point of the center of the correction window and the position of the front-first peak. The end position of the correction window is not the center point of the correction window center and the next first bee position. In the setting of the correction cost, that is, looking for the second scale of the correction window as the corrected R wave, and in the above step (9), the waveform of the electrocardiogram is further included, if there is no τ wave or different between the two consecutive ## waves The presence of a P-wave T-wave indicates that the waveform of the ECG is incorrect. In this case, the above step (8) needs to be re-executed to find the correct position of the r-wave. In the above step (6), the setting of the fuzzy Wei RR spacing membership function is mentioned: where the fuzzy variable spacing membership function needs to input at least the initial supporting value and the ending domain value, the pure reading value, the ending core value, The singular value is equal to the number of pixels and the distance between the R waves corresponds to different expressions under different conditions. When the distance between successive R waves is greater than the initial support value and less than the starting core, the 'fuzzy variable RR spacing membership function can be expressed. For: 2008' 10 200824650 ? 趴 趴 变 = = = = = = = = = = = = = = = = = = = = = = = = = = The fuzzy variable RR spacing membership function can be expressed as: , 糸 buy wave distance - end core number 値 end support number 値 - end core number 値: 'Question distance fuzzy variable muscle ice and pay number ® - knot core number 値When the distance between the R-waves is between the starting core value and the ending core and the value, the fuzzy variable RR-distance membership function can be expressed as a φ-spaced fuzzy variable. And when the continuous R red coffee A is at the end support value or less than the initial support value, the fuzzy variable RR pitch membership function can be expressed as: phantom spacing fuzzy variable = 〇. The following is an example of the operation of the present embodiment. This example analyzes the rhythm variation by using the system and method of the embodiment to obtain the correct R wave position in the waveform of the heart and the electrogram. Figure 4 is an electrocardiogram produced by the test subject of the present invention. Please refer to Figure 4, firstly, the heartbeat data is collected by a (3) sense (4), and the detection signal processing module of the system will send a heartbeat to the signal, and the domain will be processed by the digital caller to generate "图·, to .= Analyze the waveform of the electrocardiogram and find the position of the R wave as shown in Fig. 5, the electrocardiogram of the position of the determined R wave proposed by the embodiment of the q θ forest invention. Please Zhu Zhao...=,: The composition of the waveform of the electric signal 4. 0 includes ρ wave, q wave, r wave, to: -^ wave, usually the amplitude of the R wave is the highest, so the part of the judgment R wave method is to take the electrocardiogram The relatively highest first-peak of a certain segment waveform is defined as the position of the R wave. However, it is possible to misjudge the position of the R wave in the early part of the band, for example, in the heart of the figure η 200824650 The first peak of the lion can be found to be below the starting point of the found R wave position. At this point, the center is set to a correction window. 7 Correction window 3^ is the position of the R wave with each wave like the heart and the front, the wave position:: set: positive: $ in the window: in the positive window: the position of the R wave and the rear, the wave: Beam: 4 face up from 510 that rides 5 _ shoot - one can find that the R wave is not the highest peak - the peak is seeing the R wave position. The mouth is the same as the original definition of the f 2 帛6 map financial face is smooth with the positive R wave position of the ECG. Please refer to Fig. 6' in the correction window of the electrocardiogram_51^ wave position to be changed to the relatively high-electrocardiogram 400 in the younger-tip ♦, some unreasonable (defining the
的R波亦被修正。此時，料置在振幅之较點以下) 波位置之f1jIS9 …、雜論模綱始it行推論R ^ 舦接近或遠離。以心财释纽，正常人 的心跳母分鐘編㈡⑽次，也__ Q = 跳動一：々，於$目给 〜王1 臟會 人—&視乐6圖之心電圖400波形中各似波位 "於這個合理值範圍[0^]之間，若不人 否句 正韻齊々 口手此靶圍則加大或縮小修 之二1找尋R波之位置。第7圖係本發明實施例所提 之經再次修正R波位置 厅提 停正親1怕 残第7圖，在加大或縮小 :視固尺寸重新找尋合理的尺波位置後，可得到如第 構/心娜p。此時，R波推論模組依據建 學的模糊理論設計—個模糊變數收間距隸屬= 4 RR間迎模糊變數，並齡小於_臨界值之收間距模糊變 200824650 數以產生心律變異分析圖。系統會顯示一個如第8圖所示之收 間距模糊變數介面·，以輸入模糊變數狀間距隸屬函數所需之 參數，包括起物綠值8IG、結束支持數值82G、起始核心數值 830、結祕讀值_、以及轉值㈣，而將上述參數及各個 修正後之R波的間距(RR間距)代入模糊變數収間距隸屬函數合 產生-個模糊變數RR間距關係圖祕使用者可藉由此模糊變數 收間距關係圖860決定是否產生心律變異分析圖。 由產生之心律變異分析圖是轉巾，可酬受測者的心律是 ^維持在-常態简定是否有心律不整等心臟疾病。在此為比較 使用本發明與未使用本發明之差異，列舉出兩張心律變里分析 圖州f_树日繼知之優劣。第9 _本發明實施例所提 =經R波推論模組分析所產生之心律變異分析圖，而第⑺圖係本 貫施例所提之未經R波推論模組分析所產生之心、律變異分析 =月口併奸、第9圖與第㈣，正常人的心律變異分析圖集中 、尚太 1 轴座標G·6至1之間，比對第9圖與第10圖後發現，未經 二::例之R波推論模組分析可能因為以誤判之&波分析而得 2 律變異分析圖，醫療人員若依據此心律變異分析 圖者有讀方面_病；而經過本實施例之 / “权組分析產生的心律變異分析圖9〇〇，因以自動修正r ’之^置’因此可分析出較為正確之嗜變異分析圖。 、，上所US，1由設置之修正視窗尋找第二#峰以更正 1之位置，並以模糊變數RR間距隸屬函數計算RR㈤距的模糊 以慮除小於臨界值的收間距模糊變數，進而據以產生心 13 200824650 律變異分析圖，因此本發明至 ⑴自動修正R波位f，、 、 4點. 時的外在因素而誤判R避免S麵儀11之精密度及進行檢查 ⑺避免感·器受作^進而誤判受測者之心律變異率。 , ^Hn 卞產生之雜訊影響R波位置之主丨此 一 ’、、、X心彳述之較佳實施觸露如上n並 。 疋本發明，任何熟習相像技 〜、亚非用以限 内，所為之更動與潤飾，均;· ： n ::之精神和範圍 明之專利保護範_視㈣x之專利保龍圍，因此本發 準。 所附之中請專利範圍所界定者為 【圖式簡單說明】 乐1圖為心電圖的—段心跳波形。 第2圖係本發明實施例所提之自 置的心電㈣波_系統示意圖。 心絲之R波位 的=圖係本發明實施例所提之自動更正心電圖波形 置勺〜电圖R波偵測方法流程圖。 波位 第4圖係树财闕所提之心電圖。 2 5圖係本發明實施例所提之經判斷r波位置之心 :6圖係本發明實施例所提之經修正&波位置之心二 =7圖係本發明實施例所提之經再次修正R波位置电、二 * 8圖係本發明實施例所提之輸入模糊變數跋:圖 數所需之參數之介面。 U巨隸屬函 、/第9圖係本發明實施例所提之經尺波推論模乡且分 心律變異分析圖。 產生之 200824650 第10圖係本發明實施例所提之未經R波推論模組分析所產生 之心律變異分析圖。 【主要元件符號說明】 110 P 波 120 Q 波 130 R 波 140 S 波The R wave has also been corrected. At this time, the material is placed below the amplitude point. The wave position f1jIS9 ..., the hybrid model starts from the line to infer that R ^ 舦 is close or far away. In the heart of the release of the heart, the normal person's heartbeat mother minutes (2) (10) times, also __ Q = Beat one: 々, in the $ 目 to ~ Wang 1 dirty people - & 6 picture of the electrocardiogram 400 waveforms The wave position " between this reasonable value range [0^], if no one is singularly rhyme, the target is surrounded by the target, then increase or decrease the repair 2 to find the position of the R wave. Figure 7 is a seventh diagram of the re-corrected R-wave position in the embodiment of the present invention, which is raised or reduced: after the enlargement or reduction: the apparent solid-size re-search for a reasonable ulnar position, Construction / heart na p. At this time, the R-wave inference module is based on the fuzzy theory design of the construction—a fuzzy variable is used to compensate the distance membership = 4 RR inter-fuzzy variables, and the age is less than the _thickness of the distance-gap variation 200824650 to generate a heart rhythm variation analysis graph. The system will display a spacing fuzzy variable interface as shown in Fig. 8 to input the parameters required for the fuzzy variable spacing membership function, including the starting green value 8IG, the ending support value 82G, the starting core value 830, and the knot. The secret reading value _, and the value of the rotation (4), and the above parameters and the corrected R wave spacing (RR spacing) are substituted into the fuzzy variable spacing pitch membership function to generate a fuzzy variable RR spacing relationship. The fuzzy variable interval map 860 determines whether a heart rhythm analysis map is generated. The generated heart rhythm variation analysis chart is a towel, and the heart rate of the rewarded subject is ^maintained in the normal state to determine whether there is a heart disease such as arrhythmia. Here, for comparison, the difference between the use of the present invention and the non-use of the present invention is exemplified by the analysis of two rhythm changes. The present invention is based on the analysis of the rhythm variation analysis generated by the R wave inference module analysis, and the (7) diagram is the heart generated by the analysis of the R wave inference module. Law variation analysis = month mouth and rape, picture 9 and (4), the normal person's heart rhythm variation analysis map set, still too 1 axis coordinate G · 6 to 1, after comparing the 9th and 10th pictures, found After the second:: R wave inference module analysis may be based on the misjudged & wave analysis to obtain a 2 law mutation analysis chart, if the medical personnel according to the heart rhythm variation analysis of the map has a reading aspect _ disease; and through the embodiment / "The analysis of the heart rhythm variation generated by the weight group analysis is shown in Fig. 9", because the automatic correction of r '^' can be analyzed to obtain a more correct variability analysis map. Find the second #peak to correct the position of 1 and calculate the RR (five) distance blur by the fuzzy variable RR spacing membership function to take into account the distance-distance fuzzy variable less than the critical value, and then generate the heart 13 200824650 law variation analysis map, so this Invention to (1) automatically correct the R wave position f, , , 4 points. External factors and misjudgment R avoid the precision and inspection of the S-surface instrument 11 (7) Avoid the sensory device and then misjudge the heart rate variability of the subject. The noise generated by ^Hn 影响 affects the position of the R wave position. The preferred implementation of this ',,, X heart description is exposed as above. 疋 疋 疋 疋 疋 疋 疋 疋 任何 任何 任何 任何 任何 任何 任何 任何 任何 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 The spirit and scope of the patent protection model _ Vision (four) x patent Baolongwei, so this is issued. The scope of the patent is defined as [the simple description of the diagram] Le 1 diagram is the electrocardiogram - segment heartbeat waveform. 2 is a schematic diagram of a self-contained electrocardiogram (four) wave system according to an embodiment of the present invention. The R-wave position of the core wire is a graph of the auto-correcting electrocardiogram waveform of the present invention. Flowchart of the detection method. The fourth embodiment of the wave position is the electrocardiogram of the tree. 2 5 is the heart of the position of the r-wave determined by the embodiment of the present invention: 6 is the method of the embodiment of the present invention. Correction & wave position heart===Fig. The re-corrected R wave position proposed in the embodiment of the present invention The electro-optical and bi- 8 diagrams are the input fuzzy variables 实施: the interface of the parameters required for the number of graphs. The U-large membership function, and the ninth graph are the ruler wave inference modules proposed by the embodiments of the present invention. The generation of the heart rhythm variation analysis diagram. The generated 200824650 Fig. 10 is a heart rhythm variation analysis diagram of the embodiment of the present invention which is not analyzed by the R wave inference module. [Main component symbol description] 110 P wave 120 Q wave 130 R wave 140 S wave
150 T 波 210 感應器 220 偵測訊號處理模組 222 放大器 224 類比數位轉換器. 226 高/低通濾波器 228 微分器 230 數位訊號處理模組 232 演算法晶片 234 儲存單元 240 R波推論模組 250 顯示模組 400 .心電圖 510 修正視窗 . 800 RR間距模糊變數介面 810 起始支持數值 200824650 820 結束支持數值 830 起始核心數值 840 結束核心數值 850 臨界值 860 模糊變數RR間距關係圖 900、 950 心律變異分析圖150 T wave 210 sensor 220 detection signal processing module 222 amplifier 224 analog digital converter. 226 high / low pass filter 228 differentiator 230 digital signal processing module 232 algorithm chip 234 storage unit 240 R wave inference module 250 Display Module 400. Electrocardiogram 510 Correction Window. 800 RR Spacing Fuzzy Variable Interface 810 Initial Support Value 200824650 820 End Support Value 830 Start Core Value 840 End Core Value 850 Critical Value 860 Fuzzy Variable RR Spacing Relationship Diagram 900, 950 Heart Rhythm Variation analysis
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