JPH0490744A - Arrhythmia occurrence rhythm analyzer - Google Patents

Abstract

PURPOSE:To achieve a higher analysis accuracy by providing an arrhythmia detection means which detects arrhythmia from a digitized signal by an A/D conversion means to process the results of an arrhythmia rhythm analysis of a correlation chart or the like in a short time. CONSTITUTION:An electrocardiogram signal input section 1 amplifies a fine signal picked up from a body surface with an electrode 17 for inputting biosignals. An analog-digital convertor section 2 is made up of a multiplexer, an A/D convertor and the like and converts an electrocardiogram analog signal amplified by the electrocardiogram signal input section 1 into a digital signal. An R wave detecting section 3 performs a distinguishing of a QRS wave as a base point for recognition of the electrocardiogram signal from waveforms of a P wave, T wave and the like and a noise. A coupling interval memory section 6 stores an RR interval detected by an RR interval analysis section 4 and a generation time of compression outside a term when the QRS wave involved is determined to be the compression outside the term with a recognition section 5 for the compression outside terms. A normal cavity rhythm interval memory section 7 stores the RR interval immediately before a coupling interval when the coupling interval is stored with the RR interval analysis section 6.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to an arrhythmia-inducing rhythm analyzer, and particularly to an arrhythmia-inducing rhythm analyzer using an electrocardiogram analog signal.

[Conventional technology]

Conventionally, in order to understand the effects of administering antiarrhythmic drugs, etc., electrocardiogram signals for about 24 hours were accumulated on magnetic tape using a Holter electrocardiograph, and the signals were played back to count arrhythmias (particularly premature contractions). At the same time as R-wave interval in the vicinity (rRR
The effects of administration were confirmed by measuring changes in the frequency of occurrence and changes in the RR interval.

[Problem to be solved by the invention]

According to the conventional method described above, in order to analyze a long tape recorded over about 24 hours, results cannot be obtained in a short time unless high-speed playback is performed, such as 240 times or 720 times the recording time. The problem was that it could not be done.

On the other hand, in order to analyze electrocardiograms in a shorter time, check for premature contractions, and accumulate RR intervals, it is necessary to increase the tape running speed, and high-speed processing hardware that can adapt to high-speed processing is required. is necessary. On the other hand, as the tape playback speed becomes faster, the number of data that can be processed per unit time and the number of software steps that can be operated become smaller, which reduces the accuracy of recognizing premature contractions and R wave recognition for determining accurate RR intervals. There was a problem with not being able to raise the level of performance.

In addition, in the conventional method of storing the electrocardiogram original signal on a magnetic tape, recording is performed at low speed in rows 1. 'l, Because the playback is performed at high speed, the waveform quality is degraded due to wow and flutter during recording, and the recognition accuracy of extrasystles and R waves is reduced due to deviations in the time of occurrence, etc., making it difficult to accurately analyze arrhythmia-induced rhythms. I couldn't do it.

Furthermore, the main purpose of arrhythmogenic rhythm analysis is to determine the efficacy of a drug after administration by determining the frequency of occurrence of premature contractions, and the parameters used in this analysis are In addition to changes in the total number of extrasystole, as shown in Figure 2, the interval β between the time when an extrasystole occurs and the time when the immediately preceding QR8 wave occurs (hereinafter referred to as the "coupling interval") and the previous A method of determining this based on the correlation with the normal waveform occurrence interval α (hereinafter referred to as "normal sinus rhythm interval") is being used clinically. When this method is attempted to be carried out using the conventional method of magnetic tape, the processing time for one waveform is short as described above, so it is not possible to simultaneously process the pattern recognition of the lateral contraction and the process of calculating the RR interval. It is necessary to replay the tape again or to store all the waveforms in advance on a hard disk or the like, and then to analyze them later over time, which poses a problem in that analysis results cannot be obtained immediately.

[Means to solve the problem]

The arrhythmia-causing rhythm analyzer of the present invention includes an input means for inputting an electrocardiogram analog signal, an AD conversion means for converting the electrocardiogram analog signal into a digital signal, and an arrhythmia is detected from the signal digitized by the AD conversion means. an arrhythmia detecting means, and classifying the arrhythmia detected by the arrhythmia detecting means according to the shape of extrasystole, and detecting the arrhythmia detection time corresponding to each classified and the R before the occurrence of the arrhythmia.
and storage means for storing wave intervals.

〔Example〕

Next, the present invention will be explained with reference to the drawings.

FIG. 1 is a block diagram showing the configuration of an embodiment of the present invention.

The electrocardiogram signal input section 1 amplifies minute signals collected from the body surface by the electrodes 17 for biological signal input. The analog-to-digital converter 2 includes a multiplexer-A/D converter and the like, and converts the electrocardiogram analog signal amplified by the electrocardiogram signal input section 1 into a digital signal.

The R liquid detection unit 3 uses QR8, which is the base point for recognizing electrocardiogram signals.
Distinguish waves from waveforms such as P waves and T waves, and from noise. This configuration includes a digital filter, an adder circuit, and the like. The RR interval analysis section 4 determines the occurrence interval of the R waves from the series of occurrence times of the R waves recognized by the R liquid detection section 3.

The extrasystole recognition unit 5 detects QR8 recognized by the R liquid detection unit 3.
The area and height of the waves are used to distinguish between premature contractions and the QR8 wave of normal sinus rhythm. Here, since the shape of the extrasystole is not necessarily one-size-fits-all, but includes multiple types, templates are created by classifying the shapes into multiple types using pattern machining, etc. When the extra-systole recognition section 5 determines that the corresponding QR8 wave is an extra-systole, the coupling interval storage section 6 stores the RR detected by the RR interval analysis section 4.
The interval and time of occurrence of extrasystole are memorized.

When the coupling interval is stored by the RR interval analysis unit 6, the normal sinus rhythm interval storage unit 7 stores the RR interval immediately before the coupling interval. The clock section 8 provides the actual time at which the extra systole occurs, sends a clock pulse to the central processing section 9, and generates a reference clock signal for the AD converter 2. Further, the central processing unit 9 controls each of the above-mentioned units.

The coupling interval β and sinus rhythm interval α stored in the coupling interval storage unit 6 and the normal sinus rhythm interval storage unit 7 in this way are exported from these storage units for each ID number and each premature contraction occurrence time. By reading out the data and plotting each data on the X axis and Y axis, a correlation diagram as shown in FIG. 3 is completed. On the other hand, in this method, in addition to storing the interval and time in each coupling interval storage unit, the extra-systole recognized by the extra-systole recognition unit 5 is already stored, and the extra-systole and the corresponding extra-systole are stored. If a shape pattern exists, the ID number of the shape of extrasystole assigned to that pattern is stored in a memory layout as shown in FIG.

When creating a correlation diagram using this method, a correlation diagram of coupling intervals corresponding to each ID number, that is, according to the shape of extrasystole, is obtained as shown in FIG. 3. Figure 3 is I
A correlation diagram regarding DI is shown. FIG. 5 is an external view of one embodiment of the present invention.

The arrhythmia rhythm analyzer 11 has a built-in microprocessor and can be driven by a battery. Therefore, the subject can perform daily activities while carrying this device and analyzing and memorizing electrocardiograms during daily activities. The memory card 2 stores information such as coupling intervals and normal sinus rhythm intervals. The memory card 12 is inserted into the insertion section 4 and directly connected to the pass line of the internal central processing section 9. The liquid crystal display section 3 displays time information, an abnormal state of the device, operation instructions, and the like. The battery storage section 5 is a part that stores a battery that serves as a power source for this device, and the electrocardiogram capacitor 6 and the electrodes 7 input electrocardiogram signals into the device from the body surface.

〔Effect of the invention〕

As explained above, the present invention has the following effects compared to the conventional system.

That is, since the classification of premature contractions in the electrocardiogram and the analysis of each interval are performed in real time while the device is carried, arrhythmia rhythm analysis results such as correlation diagrams can be obtained in a short time as soon as the test is completed. This has the advantage that information on the effectiveness of medication can be obtained immediately, and the next course of treatment can be quickly determined. Furthermore, since no magnetic tape is used, distortion due to waveform frequency characteristics or wow and flutter does not occur, and overall analysis accuracy is improved, resulting in the accumulation of high-quality waveforms.

[Brief explanation of drawings]

Fig. 1 is a block diagram showing the configuration of an embodiment of the present invention, Fig. 2 is a schematic diagram explaining the coupling interval, Fig. 3 is a correlation diagram which is the final objective of the invention, and Fig. 4 is a diagram showing the internal memory of the memory. A schematic diagram of the layout configuration and template, and FIG. 5 is an external view of this embodiment. 1... Electrocardiogram signal input section, 2... AD conversion section, 3.
...$3 Sinus rhythm interval recognition unit, 8... Clock unit, 9... Central processing unit, 11... Irregularity [IJ rhythm analyzer, 12...
・Memory card, 13...LCD display section, 14...
Memory card compartment, 15...Battery compartment, 16.
・・Electrocardiogram person capeple, 17...electrode.

Claims (1)

[Claims] an input means for inputting an electrocardiogram analog signal; an AD conversion means for converting the electrocardiogram analog signal into a digital signal; an arrhythmia detection means for detecting an arrhythmia from a signal digitized by the AD conversion means; Arrhythmia occurrence characterized by comprising: a storage means for classifying detected arrhythmias according to the shape of extrasystole and storing arrhythmia detection times corresponding to each classified and R-wave intervals before the arrhythmia occurrence. Rhythm analysis device.