CN107928660B - Health early warning system based on electrocardiogram - Google Patents
Health early warning system based on electrocardiogram Download PDFInfo
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- CN107928660B CN107928660B CN201711009277.0A CN201711009277A CN107928660B CN 107928660 B CN107928660 B CN 107928660B CN 201711009277 A CN201711009277 A CN 201711009277A CN 107928660 B CN107928660 B CN 107928660B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
- A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
Abstract
The invention relates to a health early warning system based on an electrocardiogram, which comprises an electrocardiogram acquisition unit, an alarm unit and a data processing unit, wherein the electrocardiogram acquisition unit and the alarm unit are in electric signal connection with the data processing unit; the electrocardiogram acquisition unit is used for acquiring an electrocardiogram of a user in a normal state and acquiring a real-time electrocardiogram of the user; the data processing unit is used for acquiring an average electrocardiogram under a normal state according to the electrocardiogram under the normal state, establishing a cross-correlation function of the real-time electrocardiogram according to the average electrocardiogram and judging the body state of a user according to the cross-correlation function; and the alarm unit is used for giving an alarm when the body state of the user is abnormal. The invention judges the body state of the user by using the cross-correlation function, and the judgment is more accurate.
Description
Technical Field
The invention relates to the technical field of medical early warning, in particular to a health early warning system based on electrocardiogram.
Background
The electrocardiogram is a diagnosis and treatment technology for recording the electrophysiological activity of the heart in time units through the thoracic cavity, and capturing and recording the electrophysiological activity through electrodes on the skin. This recording has the advantage of being non-invasive, but since ECG is a physiological electrical signal, it is often used as a diagnostic criterion.
Patients with mild heart disease and tachycardia often have sudden heart rhythm abnormality in a short time, if the patients cannot be sent to a hospital for examination at the disease sending time, the hospital cannot timely examine the abnormal conditions of the bodies of the patients, and therefore the conditions of the patients can be delayed. Supraventricular tachycardia, such as supraventricular tachycardia, is a severely distorted tachycardia, occurs frequently, and is likely to cause ventricular fibrillation, sudden death and the like, so the detection of the supraventricular tachycardia is very important.
There are specialized instruments in medicine today that can record a patient's heart rhythm 24 hours without being in the hospital. However, this instrument is expensive, has a market price of ten thousand yuan, records only 24-hour electrocardiograms of patients, and is used by doctors to perform analysis in vitro using software provided by instrument dealers, and cannot be used by the machine itself to perform automated analysis. Although the electrocardiogram during the attack can be really recorded, the early warning can not be carried out during the attack, so that the patient can go to the hospital to see a doctor as soon as possible.
Therefore, it is desirable to provide an electrocardiogram based health warning system.
Disclosure of Invention
The invention provides a health early warning system based on electrocardiogram, aiming at overcoming the current situation that the existing electrocardiogram recording instrument can not automatically judge the body state of a user and give an alarm.
The invention adopts the following technical measures:
a health early warning system based on electrocardiogram comprises an electrocardiogram acquisition unit, an alarm unit and a data processing unit, wherein the electrocardiogram acquisition unit and the alarm unit are in electric signal connection with the data processing unit;
the electrocardiogram acquisition unit is used for acquiring an electrocardiogram of a user in a normal state and acquiring a real-time electrocardiogram of the user;
the data processing unit is used for acquiring an average electrocardiogram in a normal state according to the electrocardiogram in the normal state, establishing a cross-correlation function of the real-time electrocardiogram according to the average electrocardiogram, and judging the body state of the user according to the cross-correlation function;
and the alarm unit is used for giving an alarm when the physical state of the user is abnormal.
As a further improvement, the cross-correlation function is: r _ XY (t1, t2) ═ X (t1) × Y (t2), where t1 is an arbitrary time in the average electrocardiogram, t2 is an arbitrary time in the real-time electrocardiogram, X (t1) is an average electrocardiogram function at t1, Y (t2) is a real-time electrocardiogram function at t2, R _ XY (t1, t2) is a cross-correlation function for establishing the real-time electrocardiogram from the average electrocardiogram, and X is a convolution operation symbol.
As a further improvement, the system further comprises a user state acquisition unit, which is used for judging the current state of the user, wherein the current state comprises a motion state and a static state; the data processing unit is further used for judging the body state of the user according to the cross-correlation function and the current state of the user.
As a further improvement, the data processing unit comprises a correction module for calculating an autocorrelation coefficient by an autocorrelation function based on the variance values of the average electrocardiograms of each day, and using the autocorrelation coefficient to adjust the average electrocardiograms used for calculating the cross-correlation coefficient.
As a further improvement, the autocorrelation function is: r _ XX (t1, t2) ═ X (t1) × X (t2), where t1 is an arbitrary time within the average electrocardiogram, t2 is an arbitrary time within the average electrocardiogram other than the time t1, X (t1) is the average electrocardiogram function at the time t1, X (t2) is the average electrocardiogram function at the time t2, R _ XX (t1, t2) is an autocorrelation coefficient calculated from a deviation value of the average electrocardiogram for each day, and a convolution operation symbol.
As a further improvement, the portable electrocardiograph further comprises a cloud storage unit, wherein the cloud storage unit is used for storing the daily electrocardiogram data of the user.
As a further improvement, a reserved number is stored in the alarm unit, and when the body state of a user is abnormal, alarm information is automatically sent to the reserved number to alarm.
Compared with the prior art, the invention has the following advantages:
1. the health early warning system based on the electrocardiogram automatically judges the body state of the user by using the cross-correlation function in combination with the average electrocardiogram, has high accuracy and can give an alarm when the body state of the user is poor.
2. The health early warning system based on the electrocardiogram corrects the average electrocardiogram used for calculating the cross-correlation coefficient by using the autocorrelation function and combining the deviation value of the average electrocardiogram every day, so that the judgment accuracy of the system on the body state of a user is greatly improved, and the influence of random errors is avoided.
Drawings
FIG. 1 is a schematic diagram of the system components of a health early warning system based on electrocardiogram.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without inventive efforts based on the embodiments of the present invention, are within the scope of protection of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", and the like, indicate orientations or positional relationships based on those shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise explicitly stated or limited, the terms "mounted," "connected," "fixed," and the like are to be construed broadly, e.g., as being permanently connected, detachably connected, or integral; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or may be connected through the use of two elements or the interaction of two elements. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
The invention is described in further detail below with reference to the following figures and embodiments:
referring to fig. 1, in an embodiment, an electrocardiogram-based health early warning system includes an electrocardiogram acquisition unit, an alarm unit, and a data processing unit, where the electrocardiogram acquisition unit and the alarm unit are both electrically connected to the data processing unit. The units may transmit data information, control information, and the like via electric signals.
The electrocardiogram acquisition unit can be a portable electrocardiogram acquisition device or a large medical electrocardiogram acquisition device and can be selected according to actual conditions.
The electrocardiogram acquisition unit is used for acquiring the electrocardiogram of the user in a normal state and acquiring the real-time electrocardiogram of the user. And transmits the acquired electrocardiogram data to a data processing unit for processing and analysis.
The data processing unit can be a portable intelligent device or other devices capable of performing data storage analysis. The electrocardiogram processor is used for acquiring an average electrocardiogram under a normal state according to the electrocardiogram under the normal state, establishing a cross-correlation function of the real-time electrocardiogram according to the average electrocardiogram, and judging the body state of a user according to the cross-correlation function.
The specific steps of obtaining the average electrocardiogram include continuously obtaining a plurality of electrocardiograms with the same time under the normal state of a user, performing algorithm superposition on the obtained plurality of electrocardiogram information and calculating the average value to obtain the average electrocardiogram under the normal state. And establishing a cross-correlation function of the real-time electrocardiogram according to the obtained average electrocardiogram under the normal state, and comparing the cross-correlation function with an internally set standard threshold to judge the body state of the user, wherein the judgment speed is high, and the accuracy is high.
And the alarm unit is used for giving an alarm when the body state of the user is abnormal and reminding the user to process in time.
In this embodiment, the cross-correlation function is: r _ XY (t1, t2) ═ X (t1) × Y (t2), where t1 is an arbitrary time in the average electrocardiogram, t2 is an arbitrary time in the real-time electrocardiogram, X (t1) is an average electrocardiogram function at t1, Y (t2) is a real-time electrocardiogram function at t2, R _ XY (t1, t2) is a cross-correlation function for establishing the real-time electrocardiogram from the average electrocardiogram, and X is a convolution operation symbol. The function is used for establishing a mathematical model and judging the body state of the user, so that the accuracy is high and the misjudgment is avoided.
In this embodiment, a user state acquisition unit is further provided for determining a current state of the user according to the acquired real-time electrocardiogram, where the current state includes a motion state and a stationary state; the data processing unit is further used for judging the body state of the user according to the cross-correlation function and the current state of the user.
The standard threshold stored in the data processing unit comprises a first threshold and a second threshold, and when the user is in a motion state, the cross-correlation function is compared with the first threshold to judge the body state of the user; and when the user is in a static state, comparing the cross-correlation function with the second threshold value to judge the body state of the user. The electrocardiogram of the user has larger difference when the user is in different states, and the body state can be judged by different threshold values, so that the judgment result is more accurate.
In this embodiment, the data processing unit includes a correction module, and the correction module is configured to calculate an autocorrelation coefficient by an autocorrelation function according to a deviation value of an average electrocardiogram for each day, and adjust the average electrocardiogram for calculating the cross-correlation coefficient using the autocorrelation coefficient.
The physical state of the user varies every day, and the electrocardiogram of the user also changes correspondingly, that is, random errors are generated, and the random errors can affect the average electrocardiogram at the moment. In order to eliminate the influence of random errors, in this embodiment, an autocorrelation function of the average electrocardiogram is established according to the deviation value of the average electrocardiogram of each day, so as to adjust the average electrocardiogram used for calculating the cross-correlation coefficient, thereby enhancing the reliability of the final determination result.
In this embodiment, the autocorrelation function is: in the formula, t1 is an arbitrary time within the average electrocardiogram, t2 is an arbitrary time within the average electrocardiogram other than the time t1, X (t1) is an average electrocardiogram function at the time t1, X (t2) is an average electrocardiogram function at the time t2, R _ XX (t1, t2) is an autocorrelation coefficient calculated from a deviation value of the average electrocardiogram for each day, and X is a convolution operation symbol. The function is used for establishing a mathematical model and judging the body state of the user, so that the accuracy rate is high and the reliability is strong.
In this embodiment, the portable electrocardiograph further comprises a cloud storage unit, and the cloud storage unit is used for storing the daily electrocardiograph data of the user. The user can perform examination analysis of the physical status by referring to electrocardiogram data of past days. Meanwhile, when the body state of the user is abnormal, the user can trace back the disease by inquiring data, so that help is provided for judging the state of the disease.
In this embodiment, the alarm unit has a reserved number stored therein, and when the body state of the user is abnormal, the alarm information is automatically sent to the reserved number to alarm. If the user is in sudden situations such as myocardial infarction, the user cannot save himself or herself in time, and at the moment, the alarm unit gives an alarm like a reserved number, so that the user can be helped in time, and delay of the state of an illness is avoided.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (3)
1. A health early warning system based on electrocardiogram is characterized by comprising an electrocardiogram acquisition unit, an alarm unit and a data processing unit, wherein the electrocardiogram acquisition unit and the alarm unit are in electric signal connection with the data processing unit;
the electrocardiogram acquisition unit is used for acquiring the electrocardiogram of the user in a normal state and acquiring the real-time electrocardiogram of the user;
the data processing unit is used for acquiring an average electrocardiogram under a normal state according to the electrocardiogram under the normal state, establishing a cross-correlation function of the real-time electrocardiogram according to the average electrocardiogram and judging the body state of a user according to the cross-correlation function;
the alarm unit is used for giving an alarm when the body state of the user is abnormal;
the cross-correlation function is: r _ XY (t1, t2) ═ X (t1) × Y (t2), where t1 is an arbitrary time in the average electrocardiogram, t2 is an arbitrary time in the real-time electrocardiogram, X (t1) is an average electrocardiogram function at time t1, Y (t2) is a real-time electrocardiogram function at time t2, R _ XY (t1, t2) is a cross-correlation function for creating the real-time electrocardiogram from the average electrocardiogram, and X is a convolution operation symbol;
the system further comprises a user state acquisition unit, a user state acquisition unit and a user state acquisition unit, wherein the user state acquisition unit is used for judging the current state of a user, and the current state comprises a motion state and a static state; the data processing unit is further used for judging the body state of the user according to the cross-correlation function and the current state of the user;
the data processing unit comprises a correction module, wherein the correction module is used for calculating an autocorrelation coefficient through an autocorrelation function according to the deviation value of the average electrocardiogram of each day and adjusting the average electrocardiogram used for calculating a cross-correlation coefficient by using the autocorrelation coefficient;
the autocorrelation function is: in the formula, t1 is an arbitrary time within the average electrocardiogram, t2 is an arbitrary time within the average electrocardiogram other than the time t1, X (t1) is an average electrocardiogram function at the time t1, X (t2) is an average electrocardiogram function at the time t2, R _ XX (t1, t2) is an autocorrelation coefficient calculated from a deviation value of the average electrocardiogram for each day, and X is a convolution operation symbol.
2. The health-warning system of claim 1, further comprising a cloud storage unit, wherein the cloud storage unit is configured to store daily electrocardiogram data of the user.
3. The health-warning system as claimed in claim 1, wherein the alarm unit has a reserved number stored therein, and when the physical condition of the user is abnormal, the alarm unit automatically sends alarm information to the reserved number to alarm.
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| CN109662689B (en) * | 2019-03-07 | 2021-07-27 | 姜炜炜 | Health early warning system based on electrocardiogram for hospital |
| CN109875549A (en) * | 2019-03-28 | 2019-06-14 | 吕金兰 | A kind of healthy early warning method based on electrocardiogram |
| CN114403890B (en) * | 2021-12-20 | 2022-10-28 | 北京远盟普惠健康科技有限公司 | Electrocardiogram detection and sudden-prevention device convenient to use for clinical diagnosis |
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| JP3946108B2 (en) * | 2002-08-27 | 2007-07-18 | パイオニア株式会社 | Heart rate variability analyzer, heart rate variability analysis method, and heart rate variability analysis program |
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| CN1189320A (en) * | 1997-01-31 | 1998-08-05 | 惠普公司 | Method and system for fast determination of EKG waveform morphology |
| CN1289579A (en) * | 2000-11-03 | 2001-04-04 | 曲直 | Method and equipment for quantitatively diagnosing myocardial infarction by computer and electrocardiogram |
| CN102488512A (en) * | 2011-12-06 | 2012-06-13 | 中国科学院苏州纳米技术与纳米仿生研究所 | Automatic alarm system for electrocatdiogram monitoring and alarm method thereof |
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