JPS59189831A - Diagnostic method and apparatus by spectrum analysis of cardiographic waves - Google Patents
Diagnostic method and apparatus by spectrum analysis of cardiographic wavesInfo
- Publication number
- JPS59189831A JPS59189831A JP58064049A JP6404983A JPS59189831A JP S59189831 A JPS59189831 A JP S59189831A JP 58064049 A JP58064049 A JP 58064049A JP 6404983 A JP6404983 A JP 6404983A JP S59189831 A JPS59189831 A JP S59189831A
- Authority
- JP
- Japan
- Prior art keywords
- spectrum
- electrocardiogram
- information processing
- analysis
- recording
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010183 spectrum analysis Methods 0.000 title claims description 14
- 238000002405 diagnostic procedure Methods 0.000 title description 2
- 238000001228 spectrum Methods 0.000 claims description 30
- 238000000034 method Methods 0.000 claims description 15
- 230000010365 information processing Effects 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 7
- 238000003745 diagnosis Methods 0.000 claims description 2
- 230000036982 action potential Effects 0.000 claims 2
- 230000002107 myocardial effect Effects 0.000 claims 2
- 238000009826 distribution Methods 0.000 description 12
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 11
- 201000010099 disease Diseases 0.000 description 10
- 238000010586 diagram Methods 0.000 description 8
- 238000005259 measurement Methods 0.000 description 8
- 230000007423 decrease Effects 0.000 description 4
- 208000010125 myocardial infarction Diseases 0.000 description 4
- 206010006580 Bundle branch block left Diseases 0.000 description 3
- 206010000891 acute myocardial infarction Diseases 0.000 description 3
- 208000019622 heart disease Diseases 0.000 description 3
- 206010006578 Bundle-Branch Block Diseases 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000006698 induction Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000004217 heart function Effects 0.000 description 1
- 201000001715 left bundle branch hemiblock Diseases 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000003325 tomography Methods 0.000 description 1
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
(57)【要約】本公報は電子出願前の出願データであるた
め要約のデータは記録されません。(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.
Description
【発明の詳細な説明】
この発明は人間の心臓機能の健康度を科学的に測定する
器械である心電波測定の心電計によって得られた心電図
の読み取りにおいて、従来の目視観察による診断では、
その道の相当な経験者でも見落すおそれのある潜在的疾
患の徴候を比較的経験の浅い非専門家でも容易に識別し
得る形に表示する診断補助のための検診法およびその検
診装置に関するものである。DETAILED DESCRIPTION OF THE INVENTION This invention is an instrument for scientifically measuring the health level of human heart function, in reading an electrocardiogram obtained by measuring electrocardiograms.
This invention relates to a screening method and device for assisting in diagnosis that displays signs of latent diseases that may be overlooked even by those with considerable experience in the field in a form that can be easily identified even by relatively inexperienced non-specialists. be.
そもそも心臓疾患の診断に心電図が欠かせないことは現
在では常識である。併し乍ら、心電計が国のすみずみま
で行き渡った現代においても、心電図の正しい判読は容
易なわざではなく、経験の豊富な専門医ですら心電図を
目視しただけでは潜在的な疾患まで洞察し、はっきり突
きとめることは困難である場合も少くない。そこで最近
では情報処理にコンピュータなどを導入して自動計測や
断層撮影なども駆使する高度の診断法も逐次開発され実
用に供され始めている。併し乍ら、従来の波形解析の手
広だけでは判定困難な場合も少なくない。心臓疾患は文
明の発達に付随して広まりつつあり、成人病の一種とし
て特別の徴候の無い人々に対してもかくれた疾患を早期
に発見し、適切な予防手段を助言することは極めて大切
であり、このためには簡単で各易な方法で而も見逃して
ならない疾患は必ず発見出来る方法や装置が絶対に必要
であることは言を俟だない。It is now common knowledge that an electrocardiogram is essential for diagnosing heart disease. However, even in modern times when electrocardiograms have spread to every corner of the country, correct interpretation of electrocardiograms is still not an easy task. It is often difficult to pinpoint it. Recently, advanced diagnostic methods that utilize computers, etc. for information processing, automatic measurement, and tomography have been gradually developed and put into practical use. However, there are many cases where it is difficult to make a determination using conventional waveform analysis alone. Heart disease is becoming more widespread with the development of civilization, and as a type of adult disease, it is extremely important to detect hidden diseases early even in people who have no particular symptoms and advise them on appropriate preventive measures. To this end, it goes without saying that there is an absolute need for methods and devices that can detect diseases that cannot be overlooked in a simple and easy manner.
ので、心電波をＡ−Ｄ変換し、デジタル化した上、フー
リエ変換によりスペクトル解析し、振幅ス４クトル、位
相スペクトルおよび位相差スペクトルなどの形で情報処
理を行い、その結果を図形的に陰極線管（以下ＣＲＴと
よぶ）上および記録紙上に表示や記録すれば、心電波の
重要な特徴は一つも落すことなく伝えると共に、この表
示された図形の形状や配置等により心電図波形を直接目
視して判断するよりも極めて容易に而も確実に疾患の性
質を見破ることが出来るのではないかと考えて、この一
連の作業方法を実例について実施検討した結果、予想通
りの好結果を得ることができた。Therefore, the electrocardiogram is A-D converted, digitized, and then subjected to spectrum analysis using Fourier transform. Information processing is performed in the form of amplitude spectrum, phase spectrum, and phase difference spectrum, and the results are graphically expressed as cathode rays. By displaying and recording on a tube (hereinafter referred to as CRT) and recording paper, the important characteristics of the electrocardiogram can be conveyed without losing any of the important features, and the electrocardiogram waveform can be directly observed by looking at the shape and arrangement of the displayed figures. Thinking that it would be much easier and more reliable to discover the nature of a disease than by making a judgment based on it, we implemented this series of work methods on actual examples, and as a result, we were able to obtain good results as expected. Ta.
以下この発明の検診法並びに検診装置の一実施例を図面
によって詳しく説明すると共に、この実施例の装置を使
って各種の心電波に適合した場合のこの装置による分析
表示結果と、従来の高度の診断結果との対比との驚くべ
き一致結果について説明する。Hereinafter, one embodiment of the screening method and screening device of the present invention will be explained in detail with reference to the drawings, and the results of analysis and display by this device when the device of this embodiment is adapted to various types of electrocardiograms, as well as the conventional advanced We will explain the surprising concordance results with the diagnostic results.
第１図は正常者と心筋梗塞患者のＶ４誘導心電波のスペ
クトル分析の実例である。正常者の例は、第１図（ａ）
で示すように、ス（クトルの高周波が３０Ｈｚ位までな
だらかに分布し、緩やかに減少する傾向を示しているが
、第１図（ｂ）に示す心筋梗塞患者の異常例では高−波
分布は急激に減少するパターンを呈しており、疾患の判
別は極めて容易に明確にできることを示している。FIG. 1 is an example of spectral analysis of lead V4 electrocardiograms of a normal subject and a patient with myocardial infarction. An example of a normal person is shown in Figure 1 (a).
As shown in Figure 1(b), the high-frequency waves of the spectrum are gently distributed up to around 30Hz and show a tendency to gradually decrease. It exhibits a pattern of rapid decline, indicating that the disease can be clearly identified very easily.
第２図および第３図は、正常者の■およびＶ、誘導の心
電波のスペクトル解析の結果を示す。各図において、（
ａ）は心電図による未処理図形、（ｂ）は振幅スペクト
ル、（Ｃ）は位相差スペクトルを示す点の集合である。FIGS. 2 and 3 show the results of spectral analysis of electrocardiograms in leads 1 and V of normal subjects. In each figure, (
(a) is an unprocessed figure from an electrocardiogram, (b) is an amplitude spectrum, and (C) is a set of points showing a phase difference spectrum.
振幅スペクトル（ｂ）を見ると、正常者の場合は、高調
波分布は緩やかに減少するパターンを呈している。位相
差スペクトル（Ｃ）を見ると、やはり０°付近に集中し
ており、分布の乱れはほとんど見られない。これらのこ
とは、正常者の場合の顕著な特徴である。Looking at the amplitude spectrum (b), in the case of a normal person, the harmonic distribution exhibits a gradual decreasing pattern. Looking at the phase difference spectrum (C), it is concentrated around 0°, and there is almost no disturbance in the distribution. These are hallmarks of normal people.
次に第４図および第５図は完全左脚ブロック患者の■お
よびぬ誘導心電波のスペクトル解析例を示す。これらの
振幅スペクトルの高調波分布（ｂ）は何れも急速に減少
するパターンを呈しており、位相差スペｅトル（Ｃ）は
全く乱雑に分布し、大きく乱れていることを示している
。これらは、ＱＲ８延長を伴う脚ブロック疾患に特有な
・ぐターンであることが知られている。第６図、第７図
および第８図は、心筋梗塞患者の■、■およびＶ、誘導
心電波のスペクトル解析の例である。第６図と第８図に
おいては、振幅スペクトル（ｂ）の高調波分布は低域で
は比較的強勢であるが、２０Ｈｚ付近から急速に振幅が
減少し、正常例とは異なった・ぐターンを呈し第７図で
は振幅ス４クトル（ｂ）の高調波分布が急激に減少して
いる。また、これらの図の（Ｃ）に示す位相差スペクト
ルにあっては、何れも分布の乱れの幅は相当大きいが、
さき０脚ブロックの例はどの乱雑さはない。これらは、
何れも心筋梗塞患者の特徴である。Next, FIGS. 4 and 5 show examples of spectral analysis of electrocardiograms in leads 1 and 2 of a patient with complete left bundle branch block. The harmonic distributions (b) of these amplitude spectra all exhibit a rapidly decreasing pattern, and the phase difference spectra (C) are completely randomly distributed, indicating that they are greatly disturbed. These are known to be characteristic turns of bundle branch block disease with QR8 prolongation. FIG. 6, FIG. 7, and FIG. 8 are examples of spectrum analysis of lead electrocardiograms of a patient with myocardial infarction. In Figures 6 and 8, the harmonic distribution of the amplitude spectrum (b) is relatively strong in the low range, but the amplitude rapidly decreases from around 20Hz, and the harmonic distribution differs from the normal example. In FIG. 7, the harmonic distribution of the amplitude spectrum (b) decreases rapidly. Furthermore, in the phase difference spectra shown in (C) of these figures, the width of the distribution disturbance is quite large;
The zero leg block example does not have any clutter. these are,
All of these are characteristics of patients with myocardial infarction.
以上の実例から明らかなように、心電波をスペクトル分
析した結果の振幅スペクトルおよび位相差スペクトルの
ノ・パターンを観察すれば、その固有の型と比較検討す
ることにより心疾患の判別は極めて明瞭であるから、容
易に且つ信頼度高く検診を行い得ることがわかる。As is clear from the above examples, it is extremely easy to identify heart disease by observing the amplitude spectrum and phase difference spectrum patterns resulting from spectrum analysis of electrocardiograms and comparing them with their specific types. Because of this, it can be seen that medical examinations can be carried out easily and with high reliability.
特に注目すべきことを指摘すれば、第６図の工誘導の例
のように心電図波形（ａ）からは、全く異常が識別でき
ないような場合でも、スペクトル解析の結果（ｂ）およ
び（Ｃ）の分布を見ることにより、疾患の存在を推定判
別することが可能であったことである。これは心電図波
形に異常の現われにくい他の誘導部位においても同様で
あった。What is particularly noteworthy is that even in cases where no abnormality can be discerned from the electrocardiogram waveform (a), as in the example of the mechanical lead in Figure 6, the spectrum analysis results (b) and (C) By looking at the distribution of the disease, it was possible to estimate and determine the presence of the disease. This was also true for other induction sites where abnormalities were less likely to appear in the electrocardiogram waveform.
このことは、スペクトル解析を利用すれば、現在の標準
１２誘導法によらず、一つの誘導でも大体の疾患判別が
可能であることを意味し、迅速処理は勿論のこと、心電
図測定時の難点である多極誘導の煩雑さもなくなって、
極めて簡便に測定ができる仁ととなり、集団検診などに
最も効果的な診断資料を提供できる方法であり、装置で
あると言うことができる。This means that by using spectral analysis, it is possible to distinguish most diseases with just one lead, without using the current standard 12-lead method, and it is not only possible to quickly process the problem, but also to overcome the difficulties in measuring electrocardiograms. The complexity of multipolar induction, which is
It can be said to be a method and device that can perform measurements extremely easily and provide the most effective diagnostic data for mass medical examinations.
以上の様にこの発明による方法及び装置を使用すれば相
当有効であることは理解されたと思うので、以下この発
明の一実施例を図面によって詳しく説明する。Since it is understood that the use of the method and apparatus according to the present invention as described above is quite effective, one embodiment of the present invention will be described below in detail with reference to the drawings.
第９図はこの発明による心電波のスペクトル検診装置の
ブロック図である。図において、（１）は測定端子、（
２）は前置増幅器、（３）はス被クトル解析器、（４）
は情報処理用のマイクロプロセッサ、（５）は出力表示
部である。FIG. 9 is a block diagram of an electrocardiogram spectrum examination apparatus according to the present invention. In the figure, (1) is the measurement terminal, (
2) is a preamplifier, (3) is a spectrum analyzer, (4)
is a microprocessor for information processing, and (5) is an output display section.
測定端子（１）はへ最も簡単な２電極であり、精密測定
のときは標準１２誘導法を併用する。測定端子（１）か
ら入った心電波信号は前置増幅器（２）によって増幅さ
れ、スペクトル分析器（３）に入力される。The measurement terminal (1) is the simplest two-electrode type, and the standard 12-lead method is also used for precision measurements. The electrocardiogram signal input from the measurement terminal (1) is amplified by the preamplifier (2) and input to the spectrum analyzer (3).
このとき入力された信号は、サンプリングされた後、Ａ
−Ｄ変換（アナログからデジタルへの変約されてデジタ
ル信号となり、高速フーリエ変換が行なわれスペクトル
計算が行なわれる。この出力は、一旦マイクロプロセッ
サ（４）のメモリ一部に記憶され、要求に沿って情報処
理される。所要の情報は、随時呼び出すことによって、
出力表示部（５）に出力され、ＣＲＴ表示および記録紙
に記録表示され、検診者の検診処理の用に供せられる。The input signal at this time is sampled and then A
-D conversion (converts from analog to digital to become a digital signal, performs fast Fourier transform, and performs spectrum calculation. This output is temporarily stored in a part of the memory of the microprocessor (4), and is processed according to the request. The information is processed by calling the required information at any time.
The information is outputted to the output display section (5), recorded and displayed on a CRT display and recording paper, and is made available to the examiner for examination processing.
これら一連の過程における情報処理は常に、情報処理装
置であるマイクロプロセッサ（４）の処理機能を活用し
て制御される。Information processing in these series of steps is always controlled by utilizing the processing functions of a microprocessor (4), which is an information processing device.
以上に述べた様にこの検診装置を用い、この検診法を活
用すれば、集団検診のような大量の対象に対しても適切
な判断資料の提供ができ、潜在的疾患を早期に発見し得
るという効果がある。As mentioned above, by using this screening device and utilizing this screening method, it is possible to provide appropriate judgment materials even for a large number of subjects such as mass screenings, and latent diseases can be detected early. There is an effect.
第１図は心電計による心電図と、これを高速フーリエ変
換（ＦＦＴ）によるスペクトルアナライザーの心電波分
析例を示す図で、（ａ）は正常者の振幅周波数分布図、
（ｂ）は異常者（心筋梗塞患者）の振幅周波数分布図、
第２図乃至第８図はこの発明による検診装置および検診
方法を用いて各種の正常者や患者の心電図を分析表示し
た実例を示す図で、（ａ）は心電図そのものの測定結釆
図、（ｂ）は周ｔり数に対する振幅分布図、（Ｃ）は周
波数に対する位相差分布図である。第２図は正常者の例
で、ｒｉ銹導のもの、第３図は正常者の例で■誘導のも
の、第４図は完全左脚ブロックの例で■誘導のもの、第
５図は基金左脚ブロックの例でＶ４誘導のもの。第６図
は急性心筋梗塞患者のもので工誘導のもの、第７図は急
性心筋梗塞患者のもので■誘導のもの、第８図は急性心
筋梗塞患者のもので■、誘導のもの。
第９図はこの発明の検診装置および検診法を示すブロッ
ク図である。第９図において、
（１）・・・・測定端子、（２）・−・・・・前置増幅
器、（３）・・・・・・スペクトル分析器、（４）・・
・・・・情報処理用マイクロプロセッサ、（５）・・・
−・出力表示部（ＣＲＴおよび記録装置を含む）である
。
特許出願人 利康商事株式会社 外２名代理人 弁理士
佐 藤 英 昭
ｆ ２ （犯
づ才３凶
一一用迷軟ｆ（Ｈ１λ
すＢ１呂
（０）
Ｕ りＬｌ
１０Ｕす帽Figure 1 shows an example of an electrocardiogram produced by an electrocardiograph and an electrocardiogram analyzed by a spectrum analyzer using fast Fourier transform (FFT); (a) is an amplitude frequency distribution diagram of a normal person;
(b) is an amplitude frequency distribution diagram of an abnormal person (a patient with myocardial infarction);
FIGS. 2 to 8 are diagrams showing examples of analyzing and displaying electrocardiograms of various normal subjects and patients using the medical examination apparatus and examination method according to the present invention. (a) is a measurement diagram of the electrocardiogram itself; (b) is an amplitude distribution diagram with respect to the number of rotations, and (C) is a phase difference distribution diagram with respect to frequency. Figure 2 shows an example of a normal person and shows the case of RI lead, Figure 3 shows an example of a normal person and shows the case of ■ lead, Figure 4 shows an example of complete left bundle branch block and shows the case of lead ■. An example of left bundle branch block with V4 lead. Figure 6 shows a patient with an acute myocardial infarction and shows the result of the ``induction'', Figure 7 shows the result of a patient with an acute myocardial infarction and shows the ``induction'', and Figure 8 shows the result of a patient with an acute myocardial infarction and shows the ``induction''. FIG. 9 is a block diagram showing the medical examination apparatus and examination method of the present invention. In Fig. 9, (1)...measurement terminal, (2)...preamplifier, (3)...spectrum analyzer, (4)...
...Microprocessor for information processing, (5)...
- Output display section (including CRT and recording device). Patent applicant Toshiyasu Shoji Co., Ltd. 2 other agents Patent attorney Hideaki Sato f2
10U hat
Claims (2)
いて、心筋活動に伴なう活動電位の変化を心電波として
検出する段階と、上記検出された心電波波形をスペクト
ル解析する、段階と、上記スペクトル解析によって得ら
れた振幅スペクトル、位相スペク、トル及び位相差スペ
クトル等の心電波スペクトルを所定の図形に表示するだ
めの情報処理を行なう情報処理段階と、この情報処理段
階による出力情報金入力として、陰極線管上および記録
紙上にそれぞれ所定の形式に表示および記録する段階と
を具備し、上記陰極線管上の表示または記録紙上の記録
を観察することにより診断の有力資料とすることを特徴
とする心電波のスペクトル解析による検診法。(1) In a medical examination method using an electrocardiogram obtained by an electrocardiograph, a step of detecting changes in action potential associated with myocardial activity as an electrocardiogram, and a step of spectral analysis of the detected electrocardiogram waveform; An information processing stage that performs information processing to display electrocardiogram spectra such as amplitude spectrum, phase spectrum, torque, and phase difference spectrum obtained by the above spectrum analysis in a predetermined figure, and an input of output information from this information processing stage. The method is characterized by comprising a step of displaying and recording in a predetermined format on a cathode ray tube and on a recording paper, respectively, and by observing the display on the cathode ray tube or the recording on the recording paper, it is used as an influential material for diagnosis. A screening method based on electrocardiogram spectrum analysis.
おいて、心筋活動に伴なう活動電位の変化を心電波とし
て検出する装置と、上記検出された心電波波形を入力し
てこれをスペクトル解析するスペクトル分析器と、この
スペクトル分析器から得られた心電波の振幅スペクトル
、位相スペクトル及び位相差スペクトルなどの心電波ス
ペクトルを所定の図形に表示するだめの情報処理を行な
う情報処理装置と、この情報処理装置からの出力を入
′力して陰極線管上および記録紙上にそれぞれ所定の
形式に表示及び記録する装置とを具備したことを特徴と
する心電波のスペクトル解析による検診装置。(2) A medical examination device using electrocardiograms obtained by an electrocardiograph, which detects changes in action potentials associated with myocardial activity as electrocardiograms, and inputs the detected electrocardiogram waveforms and performs spectrum analysis. an information processing device that performs information processing to display the electrocardiogram spectrum such as the amplitude spectrum, phase spectrum, and phase difference spectrum of the electrocardiogram obtained from the spectrum analyzer in a predetermined figure; Inputs output from information processing equipment.
1. A medical examination device based on spectrum analysis of electrocardiographic waves, characterized in that it is equipped with a device for displaying and recording data in predetermined formats on a cathode ray tube and on recording paper, respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP58064049A JPH067823B2 (en) | 1983-04-12 | 1983-04-12 | Cardiac radio wave examination device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP58064049A JPH067823B2 (en) | 1983-04-12 | 1983-04-12 | Cardiac radio wave examination device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS59189831A true JPS59189831A (en) | 1984-10-27 |
| JPH067823B2 JPH067823B2 (en) | 1994-02-02 |
Family
ID=13246845
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP58064049A Expired - Lifetime JPH067823B2 (en) | 1983-04-12 | 1983-04-12 | Cardiac radio wave examination device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH067823B2 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009213551A (en) * | 2008-03-07 | 2009-09-24 | Denso Corp | Electrocardiographic waveform processor and heart rate measuring apparatus |
-
1983
- 1983-04-12 JP JP58064049A patent/JPH067823B2/en not_active Expired - Lifetime
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009213551A (en) * | 2008-03-07 | 2009-09-24 | Denso Corp | Electrocardiographic waveform processor and heart rate measuring apparatus |
Also Published As
| Publication number | Publication date |
|---|---|
| JPH067823B2 (en) | 1994-02-02 |
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