JPH0414004B2 - - Google Patents
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- Publication number
- JPH0414004B2 JPH0414004B2 JP58061011A JP6101183A JPH0414004B2 JP H0414004 B2 JPH0414004 B2 JP H0414004B2 JP 58061011 A JP58061011 A JP 58061011A JP 6101183 A JP6101183 A JP 6101183A JP H0414004 B2 JPH0414004 B2 JP H0414004B2
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- JP
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- Prior art keywords
- electrocardiogram
- abnormal
- wave
- lead
- signals
- 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.)
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- 230000002159 abnormal effect Effects 0.000 claims description 30
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 239000013598 vector Substances 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 7
- 230000005856 abnormality Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 5
- 230000011218 segmentation Effects 0.000 description 3
- 101001053302 Homo sapiens Serine protease inhibitor Kazal-type 7 Proteins 0.000 description 2
- 102100024376 Serine protease inhibitor Kazal-type 7 Human genes 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 101100325756 Arabidopsis thaliana BAM5 gene Proteins 0.000 description 1
- 101150046378 RAM1 gene Proteins 0.000 description 1
- 101100476489 Rattus norvegicus Slc20a2 gene Proteins 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
Description
【発明の詳細な説明】
本発明は心電図波形の異常を認識する異常心電
図認識装置に関する。DETAILED DESCRIPTION OF THE INVENTION The present invention relates to an abnormal electrocardiogram recognition device that recognizes abnormal electrocardiogram waveforms.
一般に心電図波形の異常の認識においてＰ，
Ｑ，Ｒ，Ｓ，Ｔ及びＪポイント等の区分点を認識
するには、心電図信号が心臓の３次元空間を伝搬
されて検出されるものであることから、フランク
誘導等の３次元ベクトル信号を用いて行なうのが
好ましいとされている。しかし、現実には、標準
12誘導の心電図波形を用いて心電図の診断を通常
行なつている。そのため、異常心電図を自動的に
認識しようとする従来装置は、実用上の観点から
標準12誘導の心電図波形からＲ波を検出し、Ｒ波
及びその前後の波形やＲ−Ｒ間隔等の解析を行な
うことによつて心電図波形の異常を認識するのが
一般的であつた。 In general, in recognizing abnormalities in electrocardiogram waveforms, P,
To recognize the segmentation points such as Q, R, S, T, and J points, since the electrocardiogram signal is detected after being propagated through the three-dimensional space of the heart, three-dimensional vector signals such as Frank's leads must be used. It is said that it is preferable to use However, in reality, the standard
Electrocardiogram diagnosis is usually performed using a 12-lead electrocardiogram waveform. Therefore, from a practical point of view, conventional devices that attempt to automatically recognize abnormal electrocardiograms detect the R wave from the standard 12-lead electrocardiogram waveform and analyze the R wave, the waveforms before and after it, the R-R interval, etc. It was common to recognize abnormalities in electrocardiogram waveforms by performing
従来、このようにＲ波を中心とした解析により
心電図波形の異常を認識していたのは、１誘導の
みの心電図波形からではＲ波以外の区分点を識別
するのが困難であつたことによる。その結果、Ｐ
波，Ｔ波及びSTセグメント等の異常は、異常心
電図が認識されないまま見過され易いという欠点
があつた。 The reason why electrocardiogram waveform abnormalities have traditionally been recognized through analysis centered on R waves is that it was difficult to identify division points other than R waves from an electrocardiogram waveform of only one lead. . As a result, P
Abnormal electrocardiogram waves, T waves, ST segments, etc., have the disadvantage that they are easily overlooked without being recognized as an abnormal electrocardiogram.
本発明は係る欠点に鑑み、標準12誘導の中から
空間的に異なるベクトルの少なくとも２誘導以上
の心電図信号を用いて異常心電図を確実に認識で
きるようにした異常心電図を提供することを目的
としたものである。 In view of the above drawbacks, the present invention aims to provide an abnormal electrocardiogram in which an abnormal electrocardiogram can be reliably recognized by using electrocardiogram signals of at least two leads of spatially different vectors from among the standard 12 leads. It is something.
即ち、本発明は、
(i) 空間的に異なるベクトルの各心電図信号を差
分波に変換し、これを相互作用させることによ
り、単一の誘導では認識し難い区分点を認識す
るものである。差分波を各誘導で相互作用させ
ることにより次の効果が得られる。 That is, the present invention (i) converts each electrocardiogram signal of a spatially different vector into a difference wave, and allows these to interact, thereby recognizing a division point that is difficult to recognize with a single lead. The following effects can be obtained by allowing the differential waves to interact with each other in each guidance.
・ ドリフトの影響を受けない
・ 波形のピーク点であるＰ，Ｑ，Ｒ，Ｓ，Ｔ
の各区分点が明確になる。 - Not affected by drift - P, Q, R, S, T, which are the peak points of the waveform
Each division point becomes clear.
・ 一誘導では出現していない心電図波形も相
互作用により検出可能となる。 - Electrocardiogram waveforms that do not appear in one lead can also be detected through interaction.
(ii) 更に認識された区分点情報から異常波をミネ
ソタコードなどの評価基準を用いることにより
検出するものである。(ii) Furthermore, abnormal waves are detected from the recognized segmentation point information by using evaluation criteria such as the Minnesota code.
以下、図面に基づいて本発明を詳述する。 Hereinafter, the present invention will be explained in detail based on the drawings.
第１図及び第２図は本発明の概要説明用の模式
図であり、第１図は標準12誘導におけるaVF，V1
の２誘導の心電図信号を用いた場合、第２図は
aVF，V1，V6の３誘導の心電図信号を用いた場
合である。 Figures 1 and 2 are schematic diagrams for explaining the outline of the present invention, and Figure 1 shows aV F and V 1 in standard 12 leads.
When using a 2-lead electrocardiogram signal, Figure 2 is
This is a case where electrocardiogram signals of three leads aV F , V 1 , and V 6 are used.
第１図においてECG１はaVF誘導，ECG２は
V1誘導である。この２誘導の心電図信号を、そ
れぞれ差分波に変換し、各差分波を相互作用させ
るべく演算処理し、Ｐ，Ｑ，Ｒ，Ｓ，Ｔ及びＪポ
イント等の各区分点を検出し、これをプロツトし
て描いたのが波形Ｘ１である。 In Figure 1, ECG1 is aV F lead, ECG2 is
It is lead V1 . These two-lead electrocardiogram signals are each converted into differential waves, and arithmetic processing is performed to make each differential wave interact with each other, and each division point such as P, Q, R, S, T, and J points is detected, and this is The plotted waveform is the waveform X1.
第２図において、ECG１はaVF誘導、ECG２は
V1誘導、ECG３はV6誘導である。この３誘導の
心電図信号を上記同様に差分波に変換し、各差分
波を相互作用させるべく演算処理して区分点を検
出し、これをプロツトして描いたのが波形Ｘ２で
ある。 In Figure 2, ECG1 is aV F lead, ECG2 is
Lead V1 , ECG3 is lead V6 . The three-lead electrocardiogram signal is converted into a differential wave in the same manner as described above, and arithmetic processing is performed to cause each differential wave to interact with each other to detect a division point, and this is plotted as waveform X2.
上述に従つて、３誘導の心電図信号を用いて差
分波とその相互作用を求めた例を以下に示す。 An example in which the difference waves and their interactions are determined using three-lead electrocardiogram signals as described above will be shown below.
＜差分波変換＞ (2)
ｘ（ｔ）′＝〔ｘ（ｔ＋５）−ｘ（ｔ−５）〕／10 (1)
ｙ（ｔ）′＝〔ｙ（ｔ＋５）−ｙ（ｔ−５）〕／10 (2)
ｚ（ｔ）′＝〔ｚ（ｔ＋５）−ｚ（ｔ−５）〕／10 (3)
ここで、ｘ（ｔ），ｙ（ｔ），ｚ（ｔ）は、ｘ，ｙ，
ｚ誘導の時系列におけるデータ値を表わし、ｘ
（ｔ）′，ｙ（ｔ）′，ｚ（ｔ）′はそれぞれの差分値
を示す。<Differential wave conversion> (2) x(t)'=[x(t+5)-x(t-5)]/10 (1) y(t)'=[y(t+5)-y(t-5) ]/10 (2) z(t)'=[z(t+5)-z(t-5)]/10 (3) Here, x(t), y(t), z(t) are x ,y,
represents the data values in the z-leading time series, x
(t)', y(t)', and z(t)' indicate the respective difference values.
＜差分波の相互作用＞
E1＝｜ｘ（ｔ）′｜＋｜ｙ（ｔ）′｜＋｜ｚ
（ｔ）′｜ (4)
E2＝（ｘ（ｔ）′）2＋（ｙ（ｔ）′）2＋（ｚ（ｔ）′
）2
(5)
E3＝√（()′）2＋（()′）2＋（()′）2(
6)
E4＝ｘ（ｔ）′・ｙ（ｔ）′・ｚ（ｔ）′ (7)
ここで、E1，E2，E3，E4は、差分値ｘ（ｔ）′，
ｙ（ｔ）′，ｚ（ｔ）′を用いてそれぞれの式から得
られた相互作用値を表わす。<Interaction of differential waves> E 1 = |x(t)′|+|y(t)′|+|z
(t)′ | (4) E 2 = (x(t)′) 2 + (y(t)′) 2 + (z(t)′
) 2
(5) E 3 =√(()′) 2 +(()′) 2 +(()′) 2 (
6) E 4 = x(t)′・y(t)′・z(t)′ (7) Here, E 1 , E 2 , E 3 , E 4 are the difference values x(t)′,
The interaction values obtained from each equation are expressed using y(t)' and z(t)'.
第１図及び第２図における波形Ｘ１およびＸ２
は(5)式を用いて得られたものである。ここで(5)式
は、各誘導の差分波をそれぞれ２乗して加えたも
のなので、心電図波形の変曲点あるいはピーク点
である各区分点は、３誘導により強調された下向
きのピークとなる。 Waveforms X1 and X2 in Figures 1 and 2
is obtained using equation (5). Here, equation (5) is obtained by squaring and adding the difference waves of each lead, so each division point that is an inflection point or peak point of the electrocardiogram waveform is the downward peak emphasized by the third lead. Become.
本発明は、このようにして得られた波形Ｘ１及
びＸ２の心電図信号から区分点を認識し、ミネソ
タコードやこれに準じた基準から異常波を認識す
るものである。 The present invention recognizes division points from the electrocardiogram signals of waveforms X1 and X2 obtained in this manner, and recognizes abnormal waves from the Minnesota code or a standard similar thereto.
第３図は本発明の構成を明示したブロツク図で
あり、誘導ECG１〜ECG３等の心電図信号を受
取る入力手段１と、入力手段１からの各心電図信
号をそれぞれ差分波信号に変換する差分波変換手
段２と、差分波変換手段２の各変換出力を相互作
用させるべく演算処理する演算手段３と、この演
算手段３の演算処理結果からＲ波検出手段６の出
力を基準にＰ，Ｑ，Ｒ，Ｓ，Ｔ及びＪポイント等
の各区分点を検出する区分点検出手段４と、区分
点検出手段４より得られる各区分点の情報から異
常波を認識する異常波認識手段５とを具備してお
り、これ等各手段が有機的に作用して心電図波形
の異常を認識するものである。 FIG. 3 is a block diagram clearly showing the configuration of the present invention, which includes an input means 1 for receiving electrocardiogram signals such as leads ECG1 to ECG3, and a differential wave conversion for converting each electrocardiogram signal from the input means 1 into a differential wave signal. means 2, a calculation means 3 for performing calculation processing to interact each conversion output of the differential wave conversion means 2, and P, Q, R based on the output of the R wave detection means 6 from the calculation processing result of the calculation means 3; , S, T, and J points, and an abnormal wave recognition means 5 that recognizes an abnormal wave from the information of each dividing point obtained from the dividing point detecting means 4. Each of these means works organically to recognize abnormalities in the electrocardiogram waveform.
第４図は本発明の一実施例のブロツク図であ
り、１１，１２，１３はアンプ、１４はアナログ
マルチプレクサ、１５はＡ／Ｄ変換器、１６は
CPU（セントラルプロセシングユニツト）、１７
はROM（リードオンメモリ）、１８はRAM（ラン
ダムアクセスメモリ）、１９は表示手段、２０は
クロツク発振器である。また、第５図は第４図の
ブロツク図に示した本発明装置の動作を説明する
フローチヤートである。 FIG. 4 is a block diagram of an embodiment of the present invention, in which 11, 12, 13 are amplifiers, 14 is an analog multiplexer, 15 is an A/D converter, and 16 is an analog multiplexer.
CPU (Central Processing Unit), 17
18 is a RAM (random access memory), 19 is a display means, and 20 is a clock oscillator. Further, FIG. 5 is a flowchart illustrating the operation of the apparatus of the present invention shown in the block diagram of FIG. 4.
第４図に示した本発明の異常心電認識装置は、
ROM１７にプログラムされた命令がCPU１６に
読み込まれることにより実行する。 The abnormal electrocardiogram recognition device of the present invention shown in FIG.
The instructions programmed in the ROM 17 are read into the CPU 16 and executed.
始めに、CPU１６はアナログマルチプレクサ
１４に対して入力データ選択制御指令を実行し、
また、Ａ／Ｄ変換器１５に対してＡ／Ｄ変換指令
を実行する。 First, the CPU 16 executes an input data selection control command to the analog multiplexer 14,
It also issues an A/D conversion command to the A/D converter 15.
各誘導ECG１〜ECG３の心電図信号はそれぞ
れアンプ１１〜１３により増幅された後、アナロ
グマルチプレクサ１４により順次切換えられなが
ら次々にＡ／Ｄ変換器１５へ送られる。Ａ／Ｄ変
換器１５は送られてきた各誘導の心電図信号をデ
イジタル信号に変換してCPU１６へ送る。 The electrocardiogram signals of each lead ECG1 to ECG3 are amplified by amplifiers 11 to 13, respectively, and then sent to an A/D converter 15 one after another while being sequentially switched by an analog multiplexer 14. The A/D converter 15 converts the sent electrocardiogram signals of each lead into digital signals and sends them to the CPU 16.
CPU１６はＡ／Ｄ変換された各誘導の心電図
信号をそれぞれのデータバツケアメモリに格納
し、その心電図信号を第１図及び第２図を説明す
るのに用いた式に従つて差分波信号に変換し、更
にその差分波信号を相互に作用させるべく演算処
理を行ないＰ，Ｑ，Ｒ，Ｓ，Ｔ及びＪポイント等
の各区分点を点情報として明確にする。 The CPU 16 stores the A/D converted electrocardiogram signal of each lead in its respective data storage memory, and converts the electrocardiogram signal into a differential wave signal according to the formula used to explain FIGS. 1 and 2. Then, arithmetic processing is performed to cause the differential wave signals to interact with each other, and each division point such as P, Q, R, S, T, and J points is clarified as point information.
次に、演算処理により明確になつた各区分点
を、Ｒ波検出手段６によつて検出されたＲ波を基
準に認識して心電図信号の波形情報を得る。そし
て、この波形情報をROM１７に書き込まれてい
るミネソタコード等の基準と比較し、異常心電図
の認識を行なう。 Next, each division point clarified by the calculation process is recognized based on the R wave detected by the R wave detecting means 6 to obtain waveform information of the electrocardiogram signal. This waveform information is then compared with a standard such as the Minnesota code written in the ROM 17 to recognize an abnormal electrocardiogram.
そして、異常心電図を認識したとき、RAM１
８及び表示手段２０等へ異常認識情報を転送す
る。 When an abnormal electrocardiogram is recognized, RAM1
The abnormality recognition information is transferred to 8, display means 20, etc.
上述から判るようにアンプ１１〜１３、アナロ
グマルチプレクサ１４及びＡ／Ｄ変換器１５は入
力手段の各部を形成しており、またCPU１６は
差分波変換手段，演算手段，区分点認識手段及び
異常波認識手段として機能している。更にRAM
１８及び表示手段１９等を有しているため、記録
及び／又は表示ができる異常波認識手段が構成さ
れているものである。なお、Ｒ波検出手段６はＲ
波を検出できるものであればいかなるものも適用
することができ、CPU１６によつて検出しても
よいものである。 As can be seen from the above, the amplifiers 11 to 13, the analog multiplexer 14, and the A/D converter 15 form each part of the input means, and the CPU 16 functions as a differential wave conversion means, an arithmetic means, a segmentation point recognition means, and an abnormal wave recognition means. It functions as a means. More RAM
18, display means 19, and the like, constitutes an abnormal wave recognition means capable of recording and/or displaying. Note that the R wave detection means 6
Any device that can detect waves can be used, and the detection may be performed by the CPU 16.
今、心電図信号として例えば第２図にて説明し
たように、aVF，V1，V6の３誘導を適用した場
合、各誘導が空間的に疑次３次元ベクトルとな
る。これ等各誘導の心電図信号がそれぞれ差分波
に変換されると、心電図信号と共に誘導されるア
ーチフアクトによるドリフトの影響を除去するこ
とができる。更に、上記の如く疑次３次元ベクト
ルの各誘導の差分波を相互作用させることによ
り、１誘導のみでは認識し難い各区分点が強調さ
れて現われるので、確実に各区分点を検出するこ
とができる。そして、各区分点の情報は例えば第
１表に示すような基準値と比較し、実時間で異常
心電図を認識するものである。 Now, when three leads aV F , V 1 , and V 6 are applied as the electrocardiogram signal, as explained in FIG. 2, each lead spatially becomes a quasi-dimensional three-dimensional vector. When the electrocardiogram signals of these respective leads are converted into differential waves, it is possible to eliminate the influence of drift due to artifacts induced together with the electrocardiogram signals. Furthermore, by interacting the difference waves of each lead of the quasi-dimensional three-dimensional vector as described above, each division point that is difficult to recognize with only one lead appears in an emphasized manner, so it is possible to reliably detect each division point. can. The information on each division point is then compared with reference values as shown in Table 1, for example, to recognize abnormal electrocardiograms in real time.
第１表 正常値基準
（時間幅） （高さ）
Ｐ：0.1秒以内 2.5mm以下
PQ：0.12〜0.2秒 基線に一致
QRS：0.1秒以内
肢誘導５mm以上、胸部誘導10mm以上
Ｑ：0.04秒以内 １mm以下
ST： 基準より±１mm以内
Ｔ： Ｒの１／６〜１／10以上
QT：0.39×√Ｒ−Ｒ間隔±0.04秒以内
Ｒ−Ｒ間隔差：±10％以下
以上の説明で明らかなように、本発明は少なく
とも２誘導以上の心電図信号をそれぞれ差分波に
変換し、各差分波を相互に作用させるべく演算処
理し、この演算処理結果から各区分点を検出し、
各区分点の情報から異常波を認識するようにした
異常心電認識装置であることから、一般に異常心
電図とされるほとんどの異常心電図を確実に認識
できるものである。 Table 1 Normal value standards (time width) (height) P: within 0.1 seconds 2.5 mm or less PQ: 0.12 to 0.2 seconds Match baseline QRS: within 0.1 seconds
Limb lead 5 mm or more, chest lead 10 mm or more Q: within 0.04 seconds 1 mm or less ST: within ±1 mm from standard T: 1/6 to 1/10 or more of R QT: 0.39×√R-R interval within ±0.04 seconds R- R interval difference: ±10% or less As is clear from the above explanation, the present invention converts electrocardiogram signals of at least two or more leads into differential waves, performs arithmetic processing to cause each differential wave to interact with each other, and calculates Detect each division point from the processing results,
Since this is an abnormal electrocardiogram recognition device that recognizes abnormal waves from the information of each division point, it can reliably recognize most abnormal electrocardiograms that are generally considered abnormal electrocardiograms.
第１図及び第２図は本発明の概要説明用の模式
図、第３図は本発明の構成を明示したブロツク
図、第４図は本発明の一実施例のブロツク図であ
り、第５図は第４図に示した本発明装置の動作説
明用のフローチヤートである。
１……入力手段、２……差分波変換手段、３…
…演算手段、４……区分点検出手段、５……異常
波認識手段、６……Ｒ波検出手段、１１，１２，
１３……アンプ、１４……アナログマルチプレク
サ、１５……Ａ／Ｄ変換器、１６……CPU（セン
トラルプロセシングユニツト）、１７……ROM
（リードオンメモリ）、１８……RAM（ランダム
アクセスメモリ）、１９……表示手段、２０……
クロツク発振器。
1 and 2 are schematic diagrams for explaining the outline of the present invention, FIG. 3 is a block diagram clearly showing the configuration of the present invention, FIG. 4 is a block diagram of one embodiment of the present invention, and FIG. This figure is a flowchart for explaining the operation of the apparatus of the present invention shown in FIG. 1... Input means, 2... Differential wave conversion means, 3...
...Calculating means, 4... Division point detection means, 5... Abnormal wave recognition means, 6... R wave detection means, 11, 12,
13...Amplifier, 14...Analog multiplexer, 15...A/D converter, 16...CPU (central processing unit), 17...ROM
(read-on memory), 18...RAM (random access memory), 19...display means, 20...
clock oscillator.
Claims (1)
入力手段と、該入力手段からの各心電図信号をそ
れぞれ３次元ベクトル差分波信号に変換する差分
波信号変換手段と、該３次元ベクトル差分波信号
変換手段の各３次元ベクトル差分波変換出力値を
相互作用値に変換させる為の演算手段と、該演算
手段の演算処理結果からＰ，Ｑ，Ｒ，Ｓ，Ｔ及び
Ｊポイント等の各区分点を検出する区分点検出手
段と該区分点検出により得られる各区分点の情報
から異常波を認識する異常波認識手段とを具備し
たことを特徴とする異常心電図認識装置。 ２ 前記異常波認識手段は、異常波を認識したと
き、同時に異常心電図又は異常心電図を含む前後
の心電図を表示及び／又は記録できるようにして
なることを特徴とする特許請求の範囲第１項に記
載の異常心電図認識装置。[Scope of Claims] 1. Input means for receiving electrocardiogram signals of at least two leads, differential wave signal conversion means for converting each electrocardiogram signal from the input means into three-dimensional vector differential wave signals, and the three-dimensional vector A calculating means for converting each three-dimensional vector differential wave conversion output value of the differential wave signal converting means into an interaction value, and calculating P, Q, R, S, T, J points, etc. from the arithmetic processing result of the calculating means. 1. An abnormal electrocardiogram recognition device comprising: a segment point detection means for detecting each segment point; and an abnormal wave recognition means for recognizing an abnormal wave from information on each segment point obtained by detecting the segment point. 2. According to claim 1, the abnormal wave recognition means is capable of simultaneously displaying and/or recording an abnormal electrocardiogram or previous and subsequent electrocardiograms including the abnormal electrocardiogram when recognizing an abnormal wave. Abnormal electrocardiogram recognition device described.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP58061011A JPS59186543A (en) | 1983-04-08 | 1983-04-08 | Abnormal cardiograph discriminating apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP58061011A JPS59186543A (en) | 1983-04-08 | 1983-04-08 | Abnormal cardiograph discriminating apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS59186543A JPS59186543A (en) | 1984-10-23 |
| JPH0414004B2 true JPH0414004B2 (en) | 1992-03-11 |
Family
ID=13158959
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP58061011A Granted JPS59186543A (en) | 1983-04-08 | 1983-04-08 | Abnormal cardiograph discriminating apparatus |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS59186543A (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0642874B2 (en) * | 1988-10-06 | 1994-06-08 | 株式会社中日電子 | Display method of small potential detection in electrocardiogram |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS54119790A (en) * | 1978-03-10 | 1979-09-17 | Tokyo Shibaura Electric Co | Electrocardiograph |
| JPS57168640A (en) * | 1981-03-31 | 1982-10-18 | Fujitsu Ltd | Automatic analyzing apparatus of cardiograph |
-
1983
- 1983-04-08 JP JP58061011A patent/JPS59186543A/en active Granted
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS54119790A (en) * | 1978-03-10 | 1979-09-17 | Tokyo Shibaura Electric Co | Electrocardiograph |
| JPS57168640A (en) * | 1981-03-31 | 1982-10-18 | Fujitsu Ltd | Automatic analyzing apparatus of cardiograph |
Also Published As
| Publication number | Publication date |
|---|---|
| JPS59186543A (en) | 1984-10-23 |
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