CN111281372B - Method, device and system for determining heart failure change index - Google Patents

Method, device and system for determining heart failure change index Download PDF

Info

Publication number
CN111281372B
CN111281372B CN202010075955.9A CN202010075955A CN111281372B CN 111281372 B CN111281372 B CN 111281372B CN 202010075955 A CN202010075955 A CN 202010075955A CN 111281372 B CN111281372 B CN 111281372B
Authority
CN
China
Prior art keywords
vcg
wave
determining
electrocardiogram
heart failure
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.)
Active
Application number
CN202010075955.9A
Other languages
Chinese (zh)
Other versions
CN111281372A (en
Inventor
于吉良
于小林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Linghao Medical Technology Tianjin Co ltd
Original Assignee
Linghao Medical Technology Tianjin Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Linghao Medical Technology Tianjin Co ltd filed Critical Linghao Medical Technology Tianjin Co ltd
Priority to CN202010075955.9A priority Critical patent/CN111281372B/en
Publication of CN111281372A publication Critical patent/CN111281372A/en
Application granted granted Critical
Publication of CN111281372B publication Critical patent/CN111281372B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/366Detecting abnormal QRS complex, e.g. widening
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00Medical imaging apparatus involving image processing or analysis
    • A61B2576/02Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/023Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the heart

Abstract

The invention provides a method, a device and a system for determining a heart failure change index, wherein the method comprises the following steps: acquiring electrocardiogram data; determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix; determining a three-dimensional vector electrocardiogram according to the orthogonal electrocardiogram; obtaining a target heart beat according to the stereo vector cardiogram; respectively acquiring starting and ending mark points of P wave, QRS wave and T wave time regions of a target heart beat, determining 3D-VCG of the target heart beat, and obtaining P wave 3D-VCG and QRS wave 3D-VCG; and determining the heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG. According to the invention, by establishing the space quantitative index on the basis of the stereo vector cardiogram, the basis of a pathophysiological mechanism is sufficient, the response to heart failure is comprehensive, the data algorithm is scientific, the technical process is rigorous, the given 3D index removes vector projection errors, the measurement and calculation are accurate, and the clinical application is wide; the obtained result is accurate in measurement and calculation, is quick and time-saving, and can be used as an index of a conventional electrocardiogram report.

Description

Method, device and system for determining heart failure change index
Technical Field
The invention relates to the field of medicine, in particular to a method, a device and a system for determining a heart failure change index.
Background
Heart failure (hereinafter referred to as heart failure) is one of the most common cardiovascular diseases in clinic. It is one of the key factors for determining whether the disease is cured or not and whether the disease is improved or worsened as a complication of various heart diseases. Because it changes in the course of disease, it can observe the change of state of illness dynamically and take treatment measures in time, so it is very important for the rescue success of cardiac emergency and cure of illness. At present, clinicians can obtain the relevant information of heart failure through various ways, such as observing the symptoms and signs of patients, blood biochemical examination, cardiac function determination of large and medium-sized influencing instruments such as myocardial nuclide or heart super, etc., and the electrocardiogram also has a small amount of indexes reflecting the heart failure. On the other hand, the clinical observation method based on symptom and sign can not quantitatively confirm the heart failure and is easily influenced by the interference of a plurality of factors, so that the degree of the heart failure is judged by a wrong judge; although the examination of heart super, laboratory and myocardial nuclide can accurately give quantitative index of heart failure, the method has the problems of high cost, complex operation, untimely and difficult repetition of the result and the like, and is not suitable for dynamic follow-up of the disease condition. The electrocardiogram has application in continuous evaluation of clinical heart failure, but has the following disadvantages and defects:
(1) there is no high-quality, constant quantitative observation index. The amplitude of P-QRS voltage of the atrioventricular heart is reflected by only a few terms (such as QRS low voltage, chest lead r wave poor increment, P wave at the terminal potential PTFV1 of V1 lead), and the like. The pertinence of the heart failure change measurement is not strong, and the heart failure change measurement does not correspond to the pathological change degree, such as: PTFV1 abnormalities (see below), more in response to dilation of the left atrial anatomy, increased amplitude of the R-wave from the V1 lead, with more clinical background, such as large right ventricle, blocked right bundle branch, type a ventricular pre-excitation, anterior posterior myocardial infarction, and lack of purkinje fibers in the anterior left ventricle;
(2) partial indexes (such as PTFV1) need to be measured and calculated manually, which is time-consuming and labor-consuming, has large measurement and calculation error, and can not form quantitative indexes for clinical popularization;
(3) the increasing degree of the precordial lead r-wave of the electrocardiogram and the change of the precordial lead r-wave with the disease state have great application value in dynamically estimating the heart failure change. The core content is that under the condition that other factors are not changed, if the number of rS waves of the chest lead is increased, the condition deterioration of the heart failure is prompted. As shown in the figure, when A is heart failure, the QRS shows rS leads in total 4, and B is treated by clinical treatment, the QRS shows rS leads only 1, which indicates that the heart failure condition is improved.
Although the method of counting the number of rS leads is simple and practical, the method can only be roughly estimated or determined qualitatively, and cannot be refined and quantified, so that the method cannot be used as a quantitative index for continuously monitoring the change condition of the heart failure and plays a great role in evaluating the change of the heart failure by the electrocardiogram.
Disclosure of Invention
In order to solve the problem that an accurate heart failure change quantitative index cannot be obtained in the prior art, the invention provides a method, a device and a system for determining a heart failure change index.
In a first aspect, the present invention provides a method of determining a heart failure change indicator, the method comprising:
acquiring electrocardiogram data;
determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix;
determining a three-dimensional vector electrocardiogram according to the orthogonal electrocardiogram;
obtaining a target heart beat according to the stereo vector cardiogram;
respectively acquiring starting and ending mark points of P wave, QRS wave and T wave time regions of a target heart beat, determining 3D-VCG of the target heart beat, and obtaining P wave 3D-VCG and QRS wave 3D-VCG;
and determining the heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG.
Further, determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix comprises:
obtaining electrocardiogram vector data in different coordinate directions according to the electrocardiogram data and the KarDS relation matrix;
and determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram vector data in different coordinate directions.
Further, determining a stereoscopic vector cardiogram according to the orthogonal electrocardiogram comprises:
and taking each numerical value on the orthogonal electrocardiogram as a coordinate value on the coordinate, and correspondingly displaying the numerical value on the coordinate to obtain the three-dimensional vector electrocardiogram.
Further, respectively acquiring the starting and ending mark points of the time regions of the P wave, the QRS wave and the T wave of the target heart beat, determining the 3D-VCG of the target heart beat, and obtaining the 3D-VCG of the P wave and the 3D-VCG of the QRS wave comprises the following steps:
determining the 3D-VCG of the target heart beat according to the starting and ending mark points and the electrocardiogram vector data;
selecting 3D-VCGs among P wave starting and ending mark points of the 3D-VCG of the target heart beat to obtain a P wave 3D-VCG;
and selecting the 3D-VCG between the QRS wave starting and ending mark points of the 3D-VCG of the target heart beat to obtain the QRS wave 3D-VCG.
Further, determining a heart failure change indicator based on the P wave 3D-VCG and the QRS wave 3D-VCG includes:
according to the P wave 3D-VCG, determining indexes SPA, SPI and SPT reflecting the heart failure quantification;
and determining an index HRA reflecting the heart failure quantification according to the QRS wave 3D-VCG.
Further, determining the heart failure change index based on the P wave 3D-VCG and the QRS wave 3D-VCG includes:
and determining the heart failure change condition according to the indexes SPA, SPI, SPT and HRA.
In a second aspect, the present invention provides an apparatus for determining a heart failure change indicator, the apparatus comprising:
the electrocardiogram data acquisition module is used for acquiring electrocardiogram data;
the orthogonal electrocardiogram determining module is used for determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix;
a module for determining a three-dimensional vector cardiogram, which is used for determining the three-dimensional vector cardiogram according to the orthogonal electrocardiogram;
the acquisition target heartbeat module is used for acquiring a target heartbeat according to the three-dimensional vector electrocardiogram;
determining P wave and QRS wave 3D-VCG modules which are used for respectively obtaining starting and ending mark points of P wave, QRS wave and T wave time regions of a target heart beat, determining 3D-VCG of the target heart beat and obtaining P wave 3D-VCG and QRS wave 3D-VCG;
and the heart failure change index determining module is used for determining a heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG.
In a third aspect, the present invention provides a system for determining a heart failure change indicator, the system comprising:
the electrocardiogram signal receiving device, Wilson network distributor device, electrocardiogram amplifier device, level matching circuit device, digital-to-analog converter device, computer processor device;
the electrocardiogram signal receiving device, the Wilson network distributor device, the electrocardiogram amplifier device, the level matching circuit device, the A/D digital-to-analog converter device and the computer processor device are electrically connected in sequence.
Further, the system further comprises:
a storage device, a display device, an output device;
the storage device, the display device and the output device are respectively electrically connected with the computer processor device.
In a fourth aspect, the present invention provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of knowledge-graph configuration provided by the first aspect.
According to the invention, by establishing the space quantitative index on the basis of the three-dimensional vector cardiogram, the basis of a pathophysiological mechanism is sufficient, the response to heart failure is comprehensive (including atrial and ventricular waves), the data algorithm is scientific, the technical process is rigorous, the given 3D index removes vector projection errors, the measurement and calculation are accurate, and the clinical application is wide; the obtained result is accurate in measurement and calculation, is quick and time-saving, can be used as an index of a conventional electrocardiogram report, and is particularly suitable for dynamic follow-up of heart failure patients repeatedly.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for determining heart failure change indicators according to an embodiment of the present invention;
FIG. 2 is an X, Y, Z orthonormal electrocardiogram provided by an embodiment of the present invention;
FIG. 3 is a diagram of the start and end marker points of P wave, QRS wave and T wave according to an embodiment of the present invention;
FIG. 4 is a full wave 3D-VCG of a target heart beat as provided by an embodiment of the present invention;
FIG. 5 is a 3D-VCG of a P-wave provided by an embodiment of the present invention;
FIG. 6 is a 3D-VCG of QRS waves provided by an embodiment of the present invention;
FIG. 7 is a three-dimensional vector cardiac diagram according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of an index SPA interface for determining the heart failure quantification by manually adjusting a button according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of an index SPA interface for determining the heart failure quantification by manually adjusting a button according to another embodiment of the present invention;
FIG. 10 is a schematic view of a rotating vertical shaft provided by an embodiment of the present invention;
FIG. 11 is a schematic diagram of an HRA index for determining heart failure quantification provided by an embodiment of the present invention;
FIG. 12 is a block diagram of an apparatus for determining heart failure change indicators according to an embodiment of the present invention;
FIG. 13 is a schematic diagram of a system for determining a heart failure change indicator according to an embodiment of the present invention;
fig. 14 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to solve the problems of poor pertinence, low accuracy and difficult acquisition of data indexes in electrocardiogram clinical assessment, which are brought by the defects of the prior art, an embodiment of the invention provides a method for determining heart failure change indexes, as shown in fig. 1, the method comprises the following steps:
step S101, obtaining electrocardiogram data;
step S102, determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and a KarDS relation matrix;
step S103, determining a three-dimensional vector electrocardiogram according to the orthogonal electrocardiogram;
step S104, obtaining a target heart beat according to the stereo vector cardiogram;
s105, respectively obtaining starting and ending mark points of time regions of P waves, QRS waves and T waves of the target heart beat, determining 3D-VCG of the target heart beat, and obtaining 3D-VCG of the P waves and 3D-VCG of the QRS waves;
and step S106, determining the heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG.
Specifically, acquiring standard 12-lead electrocardiogram data, and creating X, Y, Z orthogonal electrocardiogram data sets by using 8 data sets and a KarDS relation matrix in the 12-lead electrocardiogram; the relationship between the 8 lead data of the selected heart beat and the KarDS relationship matrix is shown in the table 1:
TABLE 1
XI=0.156 YI=-0.227 ZI=0.022
XII=-0.010 YII=0.887 ZII=0.102
XV1=-0.172 YV1=0.057 ZV1=-0.229
XV2=-0.074 YV2=-0.019 ZV2=-0.310
XV3=0.122 YV3=-0.106 ZV3=-0.246
XV4=0.231 YV4=-0.022 ZV4=-0.063
XV5=0.239 YV5=0.041 ZV5=0.055
XV6=0.194 YV6=0.048 ZV6=0.108
According to the formula: VCG ═ ECG × KarDS; wherein KarDS is a relation matrix value, VCG is an electrocardiogram, and ECG is an electrocardiogram. For example: x is 0.156I-0.010II-0.172V1-0.074V2+0.122V3+0.231V4+0.239V5+0.194V6, and the electrocardiogram vector data corresponding to X, Y and Z3 directions can be obtained according to the formula;
obtaining orthogonal electrocardiogram corresponding to X, Y and Z coordinate directions by using a computer electrocardiogram drawing mode, as shown in figure 2;
point mapping is performed on the three-dimensional coordinate axis by taking orthogonal electrocardiograms X (n), Y (n) and Z (n) as corresponding XYZ coordinate values, so as to obtain a three-dimensional vector electrocardiogram, which can be seen in fig. 7;
according to the fact that a section of electrocardiographic vector data of a three-dimensional electrocardiographic vector graph contains a plurality of heart beats, one complete heart beat is selected as an analysis object (called a target heart beat), a P wave starting point PB, a P wave end point PE, a QRS wave starting point QB, a QRS wave end point QE, a T wave starting point TB and a T wave end point TE of the target heart beat are obtained, and each point is determined to be a corresponding time marking point and is represented by a vertical marking line (shown in figure 3);
plotting the PB time point as the start, the TE time point as the end and the 3D point to obtain the full wave 3D-VCG (shown in figure 4) of the selected heart beat;
selecting the 3DVCG of the PB-PE time period to obtain the 3D-VCG of the P wave (as shown in FIG. 5), selecting the 3DVCG of the QB-QE time period to obtain the 3D-VCG of the QRS wave (as shown in FIG. 6), wherein FIGS. 5 and 6 are schematic diagrams of the maximum view angle of the 3 DVCG;
according to the P wave 3D-VCG and the QRS wave 3D-VCG, determining the heart failure change index, namely obtaining quantitative indexes (SPA, SPI and SPT) of the reaction heart failure and the degree change of the spatial P ring, and obtaining the quantitative indexes of the reaction heart failure and the degree change of the spatial QRS ring: the angle of the vertical axis of the initial half-area vector of the QRS ring clockwise in the horizontal plane (HRA).
According to the invention, by establishing the space quantitative index on the basis of the three-dimensional vector cardiogram, the basis of a pathophysiological mechanism is sufficient, the response to heart failure is comprehensive (including atrial and ventricular waves), the data algorithm is scientific, the technical process is rigorous, the given 3D index removes vector projection errors, the measurement and calculation are accurate, and the clinical application is wide; the obtained result is accurate in measurement and calculation, is quick and time-saving, can be used as an index of a conventional electrocardiogram report, and is particularly suitable for repeated dynamic follow-up visits of heart failure patients.
Based on the content of the above embodiments, as an alternative embodiment: respectively acquiring starting and ending mark points of P wave, QRS wave and T wave time regions of a target heart beat, determining 3D-VCG of the target heart beat, and obtaining P wave 3D-VCG and QRS wave 3D-VCG comprises the following steps:
determining the 3D-VCG of the target heart beat according to the starting and ending mark points and the electrocardiogram vector data;
selecting 3D-VCGs among P wave starting and ending mark points of the 3D-VCG of the target heart beat to obtain a P wave 3D-VCG;
and selecting the 3D-VCG between the QRS wave starting and ending mark points of the 3D-VCG of the target heart beat to obtain the QRS wave 3D-VCG.
Specifically, a PB time point is used as a start, a TE time point is used as an end, and a 3D point mapping mode is adopted to obtain a full wave 3D-VCG of a selected heart beat, 3DVCG of a PB-PE time period is selected to obtain a 3D-VCG of a P wave, the P ring is manually intervened to adjust the visual angle of the maximum area under the real-time guidance of an automatic computer P ring area measurement value, a computer provides an SPA measured by a computer, and an adjusting button corrected by the manual intervention is provided.
And selecting 3DVCG in the QB-QE time period to obtain 3D-VCG of QRS waves, and after determining the SRA, automatically measuring a vertical axis of 90 degrees along the clock direction of the SRA and the azimuth and angle of the axis on a horizontal plane by using a computer, namely the index HRA.
Based on the content of the above embodiments, as an alternative embodiment: determining a heart failure change indicator based on the P wave 3D-VCG and the QRS wave 3D-VCG includes:
according to the P wave 3D-VCG, determining indexes SPA, SPI and SPT reflecting the heart failure quantification;
and determining an index HRA reflecting the heart failure quantification according to the QRS wave 3D-VCG.
Specifically, P in fig. 4 is called a P ring, and corresponds to a data period between PB-PEs; QRS is a QRS ring and corresponds to a data time period between QB-QE; t is a T-ring, corresponding to the data period between TB-TE.
Quantitative indices (SPA, SPI and SPT) of the response heart failure and its extent variation of the spatial P-loop were obtained:
(a) p-ring half-area vector axis orientation (SPA, space P for short)
Specifically, 3DVCG of a PB-PE time period is selected to obtain 3D-VCG of a P wave; in fig. 8, the arrow is SPA, circle 1 is selected as a manual intervention adjustment button, and when the "+" button is pressed, the axial end point moves with a step pitch of 1 punctum (2ms), and when the "-" button is pressed, the axial start point moves with a step pitch of 1 punctum (2 ms). Circle 2 boxes the component values of the first and last P-ring half areas given by the computer in real time. The adjustment is carried out until the two half areas are equal and the two values are close to each other under the visual observation, and the red arrow at the moment is frozen to be the final SPA.
The SPA displays the angle value by two plane coordinates of a horizontal plane HPA and a frontal plane FPA.
(b) The initial part time of the half area of the spatial P-ring (abbreviated as SPI time), i.e. the time from PB to SPA, is in ms.
(c) The end time of half the area of the spatial P-ring (abbreviated as SPT time), i.e. the time from SPA to PE, is given in ms.
The principle and mechanism are as follows: the SPA varies under the conditions of constant other factors, whether left or right heart failure:
in left heart failure, the end pressure of the left atrium is increased, the depolarization time of the posterior segment of the atrium is prolonged, the P ring body is shifted to the left rear, the amplitude is increased, and the time is prolonged. The electrocardiogram showed negative abnormality in PTFV 1. SPT prolonged after the quantitative index SPA shifted to the left.
In right heart failure, the right intra-atrial pressure increases, the anterior depolarizing power of the atrium increases, the time is prolonged, the P-ring main body shifts forward downward, and the electrocardiogram shows an increase in IPIV1 value (V1 lead initial index). The quantitative index SPA is biased to the front lower side, and SPI is prolonged.
Selecting 3DVCG in the QB-QE time period to obtain 3D-VCG of QRS waves; under the guidance of the real-time computer QRS ring area automatic measurement value, the QRS ring is adjusted to the visual angle of the maximum area through manual intervention.
The computer gives the measured space QRS half-area vector axis (SRA) and gives the adjusting button for manual intervention and correction. In fig. 9, the thick black arrow is SRA, circle 3 is framed with a manual intervention adjustment button, and when the "+" button is pressed, the axial end moves with a step size of 1 punctum (2ms), and when the "-" button is pressed, the axial start moves with a step size of 1 punctum (2 ms). The circle 4 is the component value of the initial and final two parts QRS loop area given by the computer in real time. Adjust to the macroscopic values of the two partial areas and the two components to be close or equal, and the white arrows freeze to the final SRA. After the SRA is determined, the computer automatically calculates the clockwise 90 degree vertical axis of the SRA (see fig. 10), where the value in circle 5 is the component value of the adjustment, and the orientation and angle of the axis on the horizontal plane is the indicator HRA, as shown in fig. 11.
The embodiment of the invention uses a method combining computer automatic measurement and calculation and manual intervention, thereby not only eliminating a short board of logic analysis in the aspect of wavelet automatic identification, but also avoiding errors caused by manual measurement and calculation and ensuring the accuracy of a calculation result.
Based on the content of the above embodiments, as an alternative embodiment: determining the heart failure change index based on the P wave 3D-VCG and the QRS wave 3D-VCG comprises:
and determining the heart failure change condition according to the indexes SPA, SPI, SPT and HRA.
Specifically, the heart failure change condition can be determined according to the numerical values of the indexes SPA, SPI, SPT and HRA. For example: the SPA and HRA of each examination are taken and the difference value thereof is calculated for the follow-up and tracking observation of the disease progress of the heart failure patients. When comparing HRA differences, the SRA differences are referred to.
The result obtained by the technology provided by the invention is not only accurate in measurement and calculation, but also quick and time-saving, can be used as an index of a conventional electrocardiogram report, and is particularly suitable for repeated dynamic follow-up of heart failure patients.
According to still another aspect of the present invention, an apparatus for determining a heart failure change indicator is provided in an embodiment of the present invention, and referring to fig. 12, fig. 12 is a block diagram of an apparatus for determining a heart failure change indicator provided in an embodiment of the present invention. The device is used for completing the determination of the heart failure change index provided by the embodiment of the invention in the previous embodiments. Therefore, the description and definition of the method for determining a heart failure change index provided by the embodiment of the present invention in the foregoing embodiments may be used for understanding the execution modules in the embodiments of the present invention.
The device includes:
an electrocardiogram data acquisition module 1201 for acquiring electrocardiogram data;
an orthogonal electrocardiogram determining module 1202, configured to determine orthogonal electrocardiograms corresponding to different coordinate directions according to electrocardiogram data and a KarDS relationship matrix;
a vector cardiogram determining module 1203, configured to determine a vector cardiogram according to the orthogonal electrocardiogram;
an acquiring target heart beat module 1204, configured to acquire a target heart beat according to the stereo vector cardiogram;
a P wave and QRS wave 3D-VCG determining module 1205, configured to obtain start and end marker points of a P wave, QRS wave, and T wave time region of the target heartbeat, respectively, determine a 3D-VCG of the target heartbeat, and obtain a P wave 3D-VCG and a QRS wave 3D-VCG;
a determine heart failure change indicator module 1206 determines a heart failure change indicator based on the P wave 3D-VCG and the QRS wave 3D-VCG.
Specifically, the specific process of each module in the apparatus of this embodiment to implement its function may refer to the related description in the corresponding method embodiment, and is not described herein again.
According to the invention, by establishing the space quantitative index on the basis of the three-dimensional vector cardiogram, the basis of a pathophysiological mechanism is sufficient, the response to heart failure is comprehensive (including atrial and ventricular waves), the data algorithm is scientific, the technical process is rigorous, the given 3D index removes vector projection errors, the measurement and calculation are accurate, and the clinical application is wide; the obtained result is accurate in measurement and calculation, is quick and time-saving, can be used as an index of a conventional electrocardiogram report, and is particularly suitable for dynamic follow-up of heart failure patients repeatedly.
According to yet another aspect of the present invention, a system for determining a heart failure change indicator is provided, as shown in fig. 13, the system including:
an electrocardiogram signal receiving device 1301, a Wilson network distributor device 1302, an electrocardiogram amplifier device 1303, a level matching circuit device 1304, an A/D digital-to-analog converter device 1305, a computer processor device 1306;
the electrocardiogram signal receiving device 1301, the Wilson network distributor device 1302, the electrocardiogram amplifier device 1303, the level matching circuit device 1304, the A/D digital-to-analog converter device 1305 and the computer processor device 1306 are electrically connected in sequence.
Specifically, the electrocardiogram signal receiving apparatus 1301 receives human electrocardiogram data; inputting electrocardiographic data to a Wilson network distributor 1302 via lead wires in a lead wire device; the Wilson network distributor device 1302 performs voltage division processing on the electrocardiographic data, and inputs the processed electrocardiographic data into the electrocardiographic amplifier device 1303 for amplification operation; inputting the amplified electrocardiogram data into a level matching circuit device 1304; the data after being matched enters an A/D digital-to-analog converter device 1305; then the data after signal conversion is input into a computer processor device 1306, and the 8-channel electrocardio analog signals are subjected to fast electronic switch switching, sampling and quantization processing under the control of the computer processor, wherein the sampling rate of each channel is 1000 Hz. The quantified electrocardiographic data forms 8 lead arrays (2 limb leads and 6 precordial leads), then 4 expanded limb leads and 3 orthogonal leads are calculated and data sets are created.
Based on the content of the above embodiments, as an alternative embodiment: as shown in fig. 13, the system further includes:
a storage device 1307, a display device 1308, an output device 1309;
the storage device 1307, display device 1308, and output device 1309 are each electrically connected to the computer processor device 1306.
Specifically, based on the electrocardiographic data acquired in the foregoing embodiment, all 15 lead channel electrocardiograms are restored on the display and stored in the storage device 1307 at the same time, thereby completing the storage of all data. The electrocardio data is also called by an analysis software package to carry out a series of digital filtering, waveform identification, index measurement, graph combination and the like. The final result of the digital processing and analysis is displayed on the display of the display device 1308 in the form of an electrocardiographic report, or output by a printer of the output device 1309 or the like.
In addition, the embodiments of the present invention give the following description of the main software digital processing analysis of the computer processor apparatus:
the related index of heart failure takes the amplitude analysis of P wave and QRS wave group as the main body, and the digital filter is rarely started for reducing the change of the original electrocardiosignal, particularly the high frequency band, caused by digital processing. The hardware of the device is required to have good electroacoustic indexes and standard operation flow of medical staff so as to ensure the absolute high quality of electrocardiosignals;
the computer processor unit is provided with two sets of Wilson and Frank lead systems. In order to ensure the methodological consistency of the heart failure index measurement and calculation, when the analysis module is entered, the Frank lead system is closed by default;
the heart failure index is measured and calculated only aiming at target heart beats in short time, so the baseline drift correction filter is not arranged. However, in the initial point PB and the final point TE, special triangular straight line slope correction is adopted, and a good baseline straightening effect is achieved on the basis of ensuring the undistorted electrocardiographic waveform.
The heart failure index is measured and calculated, and the gain is always greatly increased (4-8 times of that of the common electrocardiogram and 60 times of the maximum P wave analysis time). In order to avoid the influence on analysis due to noise increase, the electrocardiosignals adopt a filtering mode of segmentation point average, namely filtering is not arranged on a high-frequency QRS wave group section; the average of P wave band points of lower frequencies is generally not more than 3, the T wave of the lower frequency band is irrelevant to the heart failure index, and the maximum value can be used for 6 point averages.
Fig. 14 is a block diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 14, the electronic device includes: a processor 1401, a memory 1402, and a bus 1403;
the processor 1401 and the memory 1402 communicate with each other via the bus 1403; processor 1401 is configured to invoke program instructions in memory 1402 to perform the method of determining a heart failure change indicator provided by the above-described embodiments, including, for example: acquiring electrocardiogram data; determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix; determining a three-dimensional vector electrocardiogram according to the orthogonal electrocardiogram; obtaining a target heart beat according to the stereo vector cardiogram; respectively acquiring starting and ending mark points of P wave, QRS wave and T wave time regions of a target heart beat, determining 3D-VCG of the target heart beat, and obtaining P wave 3D-VCG and QRS wave 3D-VCG; and determining the heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG.
Embodiments of the present invention provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a method of determining a heart failure change indicator. Examples include: acquiring electrocardiogram data; determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix; determining a three-dimensional vector electrocardiogram according to the orthogonal electrocardiogram; obtaining a target heart beat according to the stereo vector cardiogram; respectively acquiring starting and ending mark points of P wave, QRS wave and T wave time regions of a target heart beat, determining 3D-VCG of the target heart beat, and obtaining P wave 3D-VCG and QRS wave 3D-VCG; and determining the heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, the principle and the implementation of the present invention are explained by applying the specific embodiments in the present invention, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (8)

1. A method of determining a heart failure change indicator, the method comprising:
acquiring electrocardiogram data;
determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix;
determining a three-dimensional vector cardiogram 3D-VCG according to the orthogonal electrocardiogram;
obtaining a target heart beat according to the stereo vector cardiogram;
respectively acquiring starting and ending mark points of P wave, QRS wave and T wave time regions of the target heart beat, determining 3D-VCG of the target heart beat, and obtaining P wave 3D-VCG and QRS wave 3D-VCG;
determining a heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG;
the determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix comprises:
according to the electrocardiogram data and the KarDS relation matrix, according to a formula: carrying out orthogonal decomposition on VCG (ECG) multiplied by KarDS (electrocardiogram data) to obtain electrocardiogram vector data in different coordinate directions; wherein KarDS is a relation matrix value, VCG is an electrocardiogram, and ECG is an electrocardiogram;
according to the electrocardiogram vector data in different coordinate directions, orthogonal electrocardiograms X (n), Y (n) and Z (n) corresponding to different coordinate directions are determined, wherein n represents time;
said determining a heart failure change indicator from said P wave 3D-VCG and QRS wave 3D-VCG comprises:
determining indexes SPA, SPI and SPT reflecting heart failure quantification according to the P wave 3D-VCG; SPA is the vector axis direction of the half area of the space P ring, SPI is the initial part time of the half area of the space P ring, SPT is the final part time of the half area of the space P ring;
determining an index HRA reflecting the heart failure quantification according to the QRS wave 3D-VCG; HRA is the angle of the vertical axis of the spatial QRS ring half-area vector axis clockwise in the horizontal plane.
2. The method of claim 1, wherein said determining a stereo vector cardiogram from said orthogonal electrocardiogram comprises:
and taking the values on the orthogonal electrocardiogram as coordinate values on XYZ three-dimensional coordinate axes, and correspondingly displaying the values on the coordinates to obtain a three-dimensional vector electrocardiogram.
3. The method of claim 1, wherein the obtaining of the starting and ending index points of the time regions of the P wave, QRS wave and T wave of the target heart beat respectively, the determining of the 3D-VCG of the target heart beat, and the obtaining of the 3D-VCG of the P wave and the 3D-VCG of the QRS wave comprise:
determining the 3D-VCG of the target heart beat according to the starting and ending mark point and the electrocardio vector data;
selecting 3D-VCGs among P wave starting and ending mark points of the 3D-VCG of the target heart beat to obtain a P wave 3D-VCG;
and selecting the 3D-VCG between the QRS wave start and end mark points of the 3D-VCG of the target heart beat to obtain the QRS wave 3D-VCG.
4. The method of claim 1, wherein determining a heart failure change indicator from the P-wave 3D-VCG and QRS-wave 3D-VCG comprises:
and determining the change condition of the heart failure according to the indexes SPA, SPI, SPT and HRA.
5. An apparatus for determining a heart failure change indicator, the apparatus comprising:
the electrocardiogram data acquisition module is used for acquiring electrocardiogram data;
the orthogonal electrocardiogram determining module is used for determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix; a module for determining a three-dimensional vector cardiogram, which is used for determining a three-dimensional vector cardiogram 3D-VCG according to the orthogonal electrocardiogram;
the acquisition target heartbeat module is used for acquiring a target heartbeat according to the three-dimensional vector cardiogram;
determining P wave and QRS wave 3D-VCG modules, which are used for respectively obtaining starting and ending mark points of P wave, QRS wave and T wave time regions of the target heart beat, determining 3D-VCG of the target heart beat and obtaining P wave 3D-VCG and QRS wave 3D-VCG;
a module for determining heart failure change index, which is used for determining the heart failure change index according to the P wave 3D-VCG and the QRS wave 3D-VCG;
determining orthogonal electrocardiograms corresponding to different coordinate directions according to the electrocardiogram data and the KarDS relation matrix comprises:
according to the electrocardiogram data and the KarDS relation matrix, according to a formula: carrying out orthogonal decomposition on VCG (ECG) multiplied by KarDS (electrocardiogram data) to obtain electrocardiogram vector data in different coordinate directions; wherein KarDS is a relation matrix value, VCG is an electrocardiogram, and ECG is an electrocardiogram;
according to the electrocardiogram vector data in different coordinate directions, orthogonal electrocardiograms X (n), Y (n) and Z (n) corresponding to different coordinate directions are determined, wherein n represents time;
said determining a heart failure change indicator from said P wave 3D-VCG and QRS wave 3D-VCG comprises:
determining indexes SPA, SPI and SPT reflecting heart failure quantification according to the P wave 3D-VCG; SPA is the vector axis direction of the half area of the space P ring, SPI is the initial part time of the half area of the space P ring, SPT is the final part time of the half area of the space P ring;
determining an index HRA reflecting the heart failure quantification according to the QRS wave 3D-VCG; HRA is the angle of the vertical axis of the spatial QRS ring half-area vector axis clockwise in the horizontal plane.
6. A system for determining a heart failure change indicator, the system comprising:
the electrocardiogram signal receiving device, the Wilson network distributor device, the electrocardiogram amplifier device, the level matching circuit device, the A/D digital-to-analog converter device and the computer processor device; the computer processor means for performing the method of determining a heart failure change indicator of any of claims 1-4;
the electrocardiogram signal receiving device, the Wilson network distributor device, the electrocardiogram amplifier device, the level matching circuit device, the digital-to-analog converter device and the computer processor device are electrically connected in sequence.
7. The system of claim 6, further comprising:
a storage device, a display device, an output device;
the storage device, the display device and the output device are respectively electrically connected with the computer processor device.
8. A non-transitory computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method of determining a heart failure change indicator as claimed in any one of the claims 1-4.
CN202010075955.9A 2020-01-22 2020-01-22 Method, device and system for determining heart failure change index Active CN111281372B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010075955.9A CN111281372B (en) 2020-01-22 2020-01-22 Method, device and system for determining heart failure change index

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010075955.9A CN111281372B (en) 2020-01-22 2020-01-22 Method, device and system for determining heart failure change index

Publications (2)

Publication Number Publication Date
CN111281372A CN111281372A (en) 2020-06-16
CN111281372B true CN111281372B (en) 2022-09-16

Family

ID=71018974

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010075955.9A Active CN111281372B (en) 2020-01-22 2020-01-22 Method, device and system for determining heart failure change index

Country Status (1)

Country Link
CN (1) CN111281372B (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1363254A (en) * 2001-02-19 2002-08-14 吴立群 Real-time imaging method and equipment for 3D vectocardiogram

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1021291C (en) * 1987-09-30 1993-06-23 创建基立有限公司 Method and apparatus for multi-domain processing and correlation analysing of electrocardiosignal
FI113835B (en) * 2003-04-10 2004-06-30 Pentti Korhonen Cardiac analysis method for monitoring atrial arrhythmias, involves focusing cardiac analysis to dynamic changes of configuration of P-wave of ECG signal, and comparing every detected P-wave to reference P-wave in defined time period
CN100488448C (en) * 2007-01-10 2009-05-20 赵峰 Electrocardiograph with three-dimensional image and method for implementing same
WO2014043216A1 (en) * 2012-09-13 2014-03-20 University Of South Florida Systems and methods for diagnosing cardiovascular conditions
US10716483B2 (en) * 2013-02-08 2020-07-21 Ivana I. VRANIC Method and system for vector analysis of electrocardiograms
CN108968950A (en) * 2018-07-13 2018-12-11 无锡太湖学院 A kind of digitlization electrocardiogram acquisition method, apparatus and system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1363254A (en) * 2001-02-19 2002-08-14 吴立群 Real-time imaging method and equipment for 3D vectocardiogram

Also Published As

Publication number Publication date
CN111281372A (en) 2020-06-16

Similar Documents

Publication Publication Date Title
US11517241B2 (en) Mean TSI feature based determination method and system
US8209002B2 (en) Method and apparatus for quantitative assessment of cardiac electrical events
CN107530005B (en) Method and device for deriving mean arterial pressure of a subject
US8494621B2 (en) Method and apparatus with reduced electrode system specific ECG interpretation
IL277986A (en) Identifying ecg signals having the same morphology
JP2003529407A (en) Method and apparatus for reconstructing Frank leads from derived chest leads
Svehlikova et al. The importance of ECG offset correction for premature ventricular contraction origin localization from clinical data
CN111281372B (en) Method, device and system for determining heart failure change index
US9538932B2 (en) Electrocardiogram measuring apparatus and synthesized electrocardiogram generating method
US8918166B2 (en) Method for calibrating a diagnostic measuring device
WO2020126783A1 (en) Electrocardiographic imaging system
KR20130012903A (en) A leadless wireless ecg measurement system and method for measuring of bio-potential electric activity of the heart
US8923957B2 (en) Data conversion in ECG techniques
Plesinger et al. The VED meter—A new tool to measure the ventricular conduction abnormalities in heart failure patients
CN114027810B (en) Blood pressure calculation model generation method containing arteriosclerosis classification and blood pressure measurement system
CN111012334B (en) Method and device for determining index reflecting ventricular muscle repolarization
US11406308B2 (en) Visualization and recordation system interface with virtual ground for biomedical system and methods
WO2012119665A1 (en) Method and device for long-term variability monitoring of cardiovascular parameters based on ambulatory registration of electrocardiogram and pulse wave signals
Schmidt et al. Quantification of ventricular repolarization fluctuations in patients with myocardial infarction
JP2001286473A (en) Ultrasonic diagnostic apparatus
Schmidt et al. Evaluation of Ventricular Repolarization Variability in Patients With Nonischemic Dilated Cardiomyopathy From Vectorcardiography
JP2016059770A (en) Electrocardiography examination method, and electrocardiography examination system
RU2535439C2 (en) Method of increasing accuracy in measurement of coordinates of myocardium signals and device for its realisation
CZ31097U1 (en) A device for measuring, recording and analysis of electrical potential caused by cardiac activity
Kuĉera et al. Laboratory task for measuring ECG and heart axis rotation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20220815

Address after: 301739 room 304, building A6, Jingbin Ruicheng, Jingbin Industrial Park, Wuqing District, Tianjin

Applicant after: Linghao medical technology (Tianjin) Co.,Ltd.

Address before: Room 501, floor 5, building 2, No. 10 Jingyuan street, Daxing District Economic and Technological Development Zone, Beijing 100176

Applicant before: Mosheng (Beijing) medical equipment Co.,Ltd.

GR01 Patent grant
GR01 Patent grant