CN106691417B - Sphygmomanometer with heart rate analysis module - Google Patents
Sphygmomanometer with heart rate analysis module Download PDFInfo
- Publication number
- CN106691417B CN106691417B CN201510781252.7A CN201510781252A CN106691417B CN 106691417 B CN106691417 B CN 106691417B CN 201510781252 A CN201510781252 A CN 201510781252A CN 106691417 B CN106691417 B CN 106691417B
- Authority
- CN
- China
- Prior art keywords
- heartbeat
- heart rate
- signal
- analysis module
- blood pressure
- 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
Links
Images
Abstract
The invention discloses a sphygmomanometer with a heart rate analysis module, comprising: a blood pressure measuring device for measuring the blood pressure of the user; the host machine comprises a sphygmomanometer microprocessor and can process signals of blood pressure related signals; the control panel is configured on the host and can control the blood pressure measurement and the heart rate analysis functions of the sphygmomanometer; the first display device is used for displaying a blood pressure measurement result of the sphygmomanometer; and the second display device is used for displaying the heart rate analysis result of the heart rate analysis module.
Description
Technical Field
The invention relates to a heart rate analysis module used on a sphygmomanometer, in particular to a sphygmomanometer comprising a heart rate analysis module, which can display the heart rate analysis result of the heart rate analysis module on the sphygmomanometer.
Background
Generally, people with cardiovascular-related medical history or simpler medical stations often have blood pressure meters, which are convenient for users to confirm their health status by measuring blood pressure. However, a sphygmomanometer can be used to measure only a change in blood pressure, and does not include any additional function. In view of the cardiovascular related problems and the need for blood pressure measurement, in addition to the need to constantly monitor blood pressure, other cardiovascular related parameters also need to be measured to more fully know the cardiovascular health status of patients, find problems and treat them early, so the development of multifunctional blood pressure is an important issue.
Among the cardiovascular-related diseases, Atrial fibrillation (Atrial fibrillation) is the most common cardiac arrhythmia in the clinic. Patients with hypertension, heart failure, diabetes, hyperthyroidism, and the elderly are all groups that are prone to atrial fibrillation or arrhythmia. When atrial fibrillation occurs, the atria cannot effectively contract and pump blood, which is likely to further cause thrombus and stroke. Patients with atrial fibrillation disease are statistically more than 5 times more likely than normal to suffer a stroke. If the cardiovascular disease is higher risk group, besides purchasing the sphygmomanometer at home, it can also possess the related instrument capable of early detecting atrial fibrillation, if the abnormality is detected, the user is reminded to make further health check and treatment as soon as possible, and the risk of stroke can be reduced. If the function of measuring arrhythmia such as atrial fibrillation can be combined with the sphygmomanometer, the combination brings great convenience to patients.
The detection of "heart beat" can reflect the important information of personal health, such as the health status of heart. The amplitude and interval of the heart beat within a certain time, called heart rate, reflect the state of the heart. The heart rate measurement method mainly includes two methods, which are "" optical transmission measurement method "" and "" electrical signal measurement method "". The "optical transmission measurement method" is also called Photoplethysmography (Photoplethysmography), which projects a light beam onto the skin and measures the reflected or transmitted light signal to obtain the heart beat. The principle of the electrical signal measurement method is similar to the electrocardiogram, and the electrical signal generated during the contraction of the heart muscle is directly measured by the sensor to determine the heart rate of the user. In the prior art, no matter using the "optical transmission measurement method" or the "electrical signal measurement method", how to perform fast and accurate analysis and interpretation of the detected signal after signal detection is the key of the accuracy of physiological signal analysis.
Disclosure of Invention
In view of the above-mentioned technical problems, the present invention provides a sphygmomanometer, which comprises a heart rate analysis module for detecting arrhythmia such as atrial fibrillation by using a fast and accurate signal processing method, and improves the accuracy of data interpretation by screening and interpreting the detected data for a plurality of times.
The present invention provides a blood pressure monitor with a heart rate analysis module, which comprises: the blood pressure measuring device is used for measuring and outputting a blood pressure signal of a user; the heart rate analysis module is used for detecting and outputting a heart rate signal of a user; the host is connected with the blood pressure measuring device and the heart rate analysis module and is provided with a microprocessor for processing the blood pressure signal of the user and the heart rate signal of the user and obtaining a heart rate measuring result; the control panel is arranged on one side surface of the host machine and is used for connecting and controlling the blood pressure measuring device and the heart rate analysis module; and the second display equipment is adjacently arranged on one side of the control panel, is connected with the microprocessor and is used for displaying the waveform of the heart rate measurement result.
The present invention further provides a blood pressure monitor having a heart rate analysis module, comprising: the blood pressure measuring device is used for measuring and outputting a blood pressure signal of a user; the heart rate analysis module is used for detecting and outputting a heart rate signal of a user and is provided with a first microprocessor, and the first microprocessor processes the heart rate signal of the user; the host is connected with the blood pressure measuring device and the first microprocessor of the heart rate analysis module and is also provided with a second microprocessor, and the second microprocessor processes the blood pressure signal of the user and the heart rate signal of the user and obtains a heart rate measuring result; the control panel is arranged on one side surface of the host machine and is used for connecting and controlling the blood pressure measuring device and the heart rate analysis module; and the second display equipment is adjacently arranged on one side of the control panel, is connected with the second microprocessor and is used for displaying the waveform of the heart rate measurement result.
The present invention further provides a heart rate analysis module, comprising: a light source device for providing a light source and irradiating the light source on an object; the signal sensing device is used for measuring a reflected signal irradiated from an object by the light source and outputting a heartbeat signal of a user; the microprocessor stores and executes the calculation flow to analyze the heartbeat situation of the user.
Drawings
FIG. 1 is a schematic structural diagram of a sphygmomanometer in accordance with an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a heart rate analysis module according to an embodiment of the invention;
FIG. 3 is a flow chart of the operation of the heart rate analysis module according to one embodiment of the present invention;
FIG. 4 is a schematic flowchart of a signal processing method for evaluating the health of a person according to the present invention;
FIG. 5 is a schematic flow chart of the atrial fibrillation detection signal screening method of the present invention;
FIG. 6 is a detailed flow chart of atrial fibrillation detection signal screening according to the present invention; and
FIG. 7 is a flowchart illustrating an abnormal heartbeat detection procedure according to the present invention.
#
Detailed Description
The following detailed description of embodiments of the invention is provided in connection with the accompanying drawings and examples. The invention mainly discloses a heart rate analysis module used on a sphygmomanometer and the sphygmomanometer comprising the heart rate analysis module. The basic principle and function of the blood pressure monitor related to the present invention can be understood by those skilled in the art, and therefore, the following description will be made in detail only for the technical features related to the heart rate analysis module of the present invention, the technical problems of the present invention are solved, and the advantageous effects achieved. Moreover, the drawings described below are not necessarily to scale, and are merely schematic representations based on the actual relative dimensions, the technical features of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a sphygmomanometer disclosed in the present invention. The sphygmomanometer 1 disclosed by the invention is composed of a host 11, a blood pressure measuring device 12 and a heart rate analysis module 13; wherein, a control panel 111 is arranged on one side of the host 11, and the blood pressure measuring device 12 and the heart rate analysis module 13 are connected and controlled by the keys on the control panel 111; and includes a display or feedback device, which in one embodiment includes a first display device 112 adjacently disposed on a side of the control panel 111 for displaying the result of the blood pressure measurement; the second display device 113 is disposed adjacent to the control panel 111 and a side of the first display device 112, and is configured to display the results of the heart rate measurement and analysis. In other embodiments of the present invention, the display device may be comprised only or a plurality of display or feedback devices may be comprised, but the present invention is not limited thereto. In addition, the host device is configured with a microprocessor (not shown), and in an embodiment, the microprocessor is a blood pressure monitor microprocessor, a heart rate analysis microprocessor, or includes a blood pressure monitor and a heart rate analysis microprocessor, which is not limited in the present invention. In one embodiment, the microprocessor may be connected to the blood pressure measuring device 12 and the heart rate analyzing module 13, and is configured to analyze the blood pressure measured by the blood pressure measuring device 12 and the data processed by the heart rate analyzing module 13, and then send the measured blood pressure signal to the first display device 112, and then display the blood pressure signal on the first display device 112. In addition, the heart rate analysis module 13 can also receive the signals sent out. In one embodiment, the signal from the heart rate analysis module 13 can be sent to the second display device 113 for displaying, or the signal is processed first and then sent to the second display device 113 for displaying. The basic structure of the main body 11 of the sphygmomanometer 1 is understood by those skilled in the relevant art, and is not described herein in great detail. In addition, the blood pressure measuring device 12 may be a pneumatic cuff, a piezoelectric device, or an electro-optical device (using photoplethysmography), but the invention is not limited thereto.
Fig. 2 is a schematic diagram of an exemplary structure of a heart rate analysis module according to the disclosure. As shown in fig. 2, in the embodiment of the present invention, the heart rate analyzing module 13 is a device for detecting the heart related signals by using a photoplethysmogram (PPG); in addition, the heart rate analysis module 13 can also be a device that directly measures the electrical signal generated by the myocardial contraction through a sensor by using an electrical signal measurement method; the heart rate analysis module 13 detects the heart beat related signals or measures the electrical signals generated during the myocardial contraction to determine the heart rate of the user. The present invention is not limited to the embodiment of the heart rate analysis module 13. Next, as shown in fig. 2, when the heart rate analysis module 13 of the present invention selects an apparatus using "optical transmission measurement method" as the heart rate measurement, the heart rate analysis module 13 includes a light source device 131 and an optical sensor 132. In operation, a user can place the skin of a finger or other parts of the limb on the heart rate analysis module 13, then the light source device 131 emits a light beam to the skin of the user, and the optical sensor 132 receives the light signal reflected or transmitted from the skin of the user and records the change of the light signal, so as to know the heart beat condition. The heart rate analysis module 13 operates on the principle that the amount of light absorbed by the skin, muscle tissue, etc. of a specific region of a human body is constant, but the volume of blood in the skin affects the amount of light absorbed. Therefore, the blood volume in the skin also changes in a pulsating manner during the heart beat, and the peripheral blood volume of the skin is the largest and the light absorption amount is also the largest during the heart contraction. When the reflected light is received by the light sensing, the heart can be judged to beat once along with the tiny change of the peripheral blood volume of the skin. Meanwhile, since blood absorbs light with a specific wavelength, the wavelength of the light beam emitted from the light source device 131 is absorbed by a large amount each time the heart pumps blood, and the heartbeat can be confirmed by measuring the reflected or transmitted light signal. In the embodiment of the present invention, the heart rate analysis module 13 includes a microprocessor (not shown in the figure), which can analyze and process the received signal, and transmit the analysis result and the PPG waveform to the sphygmomanometer microprocessor of the host 11, and the analysis result and the PPG waveform are displayed by the second display device 113.
Fig. 3 is a flow chart showing operation steps of a heart rate analysis module according to an embodiment of the present invention, and when explaining the operation steps of the heart rate analysis module, please also refer to the structural diagram of the sphygmomanometer of fig. 1 according to the present invention. As shown in fig. 3, the flow of the operation steps of the heart rate analysis module 13 is as follows: first, in step 21, the user can start the heart rate detection function through the control panel 111 on the host 11 of the sphygmomanometer 1; after determining the activation, the user may place a finger or other limb portion on the heart rate analysis module 13 for a period of time, so that the skin of the user is located on the light source device 131 and the optical sensor 132, and there is no limitation on whether the skin of the user contacts the light source device 131 and the optical sensor 132. Next, in step 22, the light source device 131 of the heart rate analysis module 13 emits a light beam to make the light beam contact the skin of the user; then, the optical sensor 132 receives the reflected light beam transmitted through the skin of the user, as shown in step 23. In the present embodiment, the heartbeat signal from the optical sensor 132, which may be a high resolution heartbeat interval signal (R-R interval), is received from the actual measurement result; in other embodiments, the heartbeat signal may be of other types, and the invention is not limited thereto. Then, in step 24, the microprocessor of the heart rate analysis module 13 processes and calculates the heart rate signal received in the specific period, and outputs an analysis result for determining whether the heartbeat signal is an atrial fibrillation signal. In one embodiment, the heart rate analyzing module 13 has a first microprocessor for processing the heart rate signal of the user, and the host 11 has a second microprocessor, such as a blood pressure monitor microprocessor, for processing the blood pressure signal of the user and the heart rate signal of the user. The specific time period referred to herein may be 5 seconds to 60 seconds, preferably 20-40 seconds, but is not limited thereto, in other words, the user must place a finger or other limb portion on the heart rate analysis module 13 for a certain period of time. Next, in step 25, the heart rate analysis module 13 transmits the analysis result to the sphygmomanometer microprocessor in the host 11 of the sphygmomanometer 1; finally, in step 26, the blood pressure monitor microprocessor in the host 11 will forward the analysis result of the heart rate analysis module 13 to the second display device 113 for displaying; for example, if the analysis result of the microprocessor of the heart rate analysis module 13 is a arrhythmia occurring within a specific period, a diagnosis result of the period, such as waveform of atrial fibrillation or arrhythmia, is displayed on the second display device 113 of the blood pressure meter 1 to remind the user of the health status of the user or to remind the user of further health check. In addition, in the embodiment of the present invention, while the second display device 113 displays the diagnosis result of the heart rate analysis module 13, the second display device 113 can also display the PPG waveform detected by the heart rate analysis module 13, and the first display device 112 can display the blood pressure related data measured by the blood pressure measurement device 12.
Referring to fig. 4, a schematic flow chart of steps of a signal processing method for evaluating personal health by heartbeat-related signals executed by the heart rate analysis module 13 according to the present invention is shown. As shown in FIG. 4, the signal processing method for evaluating the health of a person by means of heartbeat-related signals comprises the following steps: step 33, receiving the heartbeat signal. In this step, the heart rate analysis module 13 detects a heartbeat signal of the user. Then, in step 34, the heart rate analysis module 13 detects the heartbeat interval time signal of the user and the status of the heartbeat count within a predetermined time. In the present invention, the predetermined time may be a suitable and fixed time interval, such as 10 seconds to 5 minutes, which is not limited in the present invention. Subsequently, the heart rate analysis module 13 calculates and judges the heart rate interval time signal and the heart rate count within the predetermined period. Next, step 35 is performed to determine whether the atrial fibrillation signal is present. The heart rate analysis module 13 will determine whether the received signal is an atrial fibrillation signal according to the heartbeat interval time signal, the heartbeat count, the standard deviation, and other information. If it is determined to be an atrial fibrillation signal, proceed to step 36 to issue an atrial fibrillation alert; if the determined heartbeat signal is not the atrial fibrillation signal, step 37 is performed to determine whether there is abnormal heartbeat. In the technique disclosed in the present invention, the abnormal heartbeat includes an early wave, a fast heartbeat, a slow heartbeat, and a special linkage heartbeat signal. The normal heart beat is the signal caused by the sinoatrial node. If it is determined that there is no abnormal heartbeat, go to step 38, i.e., no warning is displayed; if the abnormal heartbeat is determined, the procedure goes to step 39 to send out the warning of arrhythmia. In one embodiment of the present invention, the arrhythmia alert is an alert message displayed on the second display device 113. The detailed flow of each step of the heartbeat signal detecting steps 34 to 39 will be described later.
Next, please refer to FIG. 5, which is a schematic flow chart of the atrial fibrillation detection signal screening method according to the present invention. In the signal processing method for evaluating the health of an individual by means of heartbeat-related signals according to the present invention, step 35 is to determine whether the signal is an atrial fibrillation signal, and the detailed steps can be roughly divided into three signal processing and screening stages: in step 351, a first stage of screening (whether the signal is a non-atrial fibrillation heartbeat) is performed, in which the detected signal is first screened to determine whether the detected signal is a non-atrial fibrillation heartbeat. If it is determined that the heartbeat is not an atrial fibrillation heartbeat, the process proceeds to step 37 to determine whether an abnormal heartbeat exists. If the screening result indicates that the signal may be atrial fibrillation, the second stage screening is performed in step 352. In step 352, the atrial fibrillation heartbeat signal determined in step 351 is further filtered out for signals determined to be atrial fibrillation signals, and step 36 is entered to issue an atrial fibrillation alert. In one embodiment, the atrial fibrillation alert of the present invention is an alert message displayed on the second display device 113. In addition, in other embodiments of the present invention, a third stage screening step may be included. If the uncertain signal amount remaining after the step of rejecting the abnormal heartbeat signal after the second stage screening step exceeds a predetermined range, for example, more than 6-10 heartbeats, the process proceeds to step 353, which is a third stage screening. This stage of screening can screen for less obvious atrial fibrillation signals, and if it is determined to be atrial fibrillation signals, the procedure also proceeds to step 36 to issue atrial fibrillation alerts; if the signal is not an atrial fibrillation signal, the procedure proceeds to step 37 to determine whether there is an abnormal heartbeat.
Referring to FIG. 6, FIG. 6 is a flowchart illustrating the detailed steps of atrial fibrillation detection signal screening according to the present invention. As shown in FIG. 6, the atrial fibrillation detection step includes step 351, a first stage screening; step 352, second stage screening; in other embodiments of the present invention, step 353, the third stage of screening, may also be included. In these screening phases, if a signal indicating atrial fibrillation is detected, step 36 is performed to issue an atrial abnormality alarm. Wherein, in the step 351, the first stage of screening, the detailed flow is as follows: step 3511 is executed to calculate the heart rate within a predetermined time. The step is to calculate the number of heartbeats within a predetermined time, which may be an appropriate and fixed time, such as 5 seconds, 10 minutes, or between 5 seconds and 10 minutes, but the invention is not limited thereto. Next, step 3512 is executed to calculate the average value and the standard deviation of the time intervals of all the heartbeat intervals in the predetermined time and the time difference between the adjacent heartbeat intervals. Then, step 3513 is performed to compare the first normal screening database with the first normal screening database to determine whether the heartbeat is not atrial fibrillation heartbeat. The first normal screening database used in step 3513 is a judgment rule written for counting the heartbeat trend of a healthy person. The database contains data such as the average value of the normal heart rate, the standard deviation of the heart rate, the distribution state and the proportion of the difference value of the adjacent heart rates, and the data can be used for comparison reference with the numerical value calculated in the step 3512, so that the signals which accord with the range of the normal database can be screened out. In one embodiment, the first normal database includes values "average heart rate of 80-100 bpm and standard deviation threshold of heart rate of 20". When the average value of the detected heart rate is 80-100 bpm and the standard deviation of the heart rate is less than 20, the detected signal is determined as a non-atrial fibrillation signal. In this case, the process proceeds to step 37 to determine whether there is an abnormal heartbeat. In another embodiment of the present invention, the heart rate standard deviation threshold value included in the first normal screening database is a value between 10 and 20, which is not limited in the present invention.
Referring to fig. 6, in step 3513, the first normal screening database is compared to determine whether the detected signal is a non-atrial fibrillation signal, if the screening result shows that the detected signal is compared with the first normal database to show an abnormal signal, for example, when the average value of the heart rate is not between 80 to 100bpm and the standard deviation of the heart rate is greater than 20, the second stage screening of step 352 is further performed. The detailed steps of the second stage screening procedure are as follows: and step 3521, abnormal heartbeats are eliminated. In this stage, abnormal heartbeats are eliminated by judging whether the difference between the interval time and the median of adjacent heartbeats is greater than the threshold of the abnormal heartbeats, and the rest heartbeats are signals which are still uncertain. The partial signal processing method is as follows: the interval time difference between adjacent heartbeats is calculated, and then whether the interval time difference between adjacent heartbeats is larger than an abnormal heartbeat threshold value is judged. In an embodiment of the invention, the abnormal heartbeat threshold may be 5-15bpm, but the invention is not limited thereto. The heartbeat difference of adjacent heartbeats is larger than the abnormal heartbeat threshold value, and the signal which is judged to be abnormal heartbeat is rejected. Next, in step 3522, the second normal screening database is compared to determine whether atrial fibrillation is likely. At this stage, after the abnormal heartbeats are removed in the statistical step 3521, the number of remaining uncertain heartbeats is compared with the second normal screening database. The second normal screening database is referred to herein as "threshold of the number of remaining signals after removing abnormal heartbeats". For example, in one embodiment of the present invention, the second normal screening database has a value of "the number of remaining signals after the abnormal heartbeat is eliminated is 6 heartbeats". In various embodiments of the present invention, the threshold of the signal quantity of the second stage screening database may be 6-10 heartbeats, which is not limited in the present invention. If the threshold of the signal quantity of the second stage screening database is 6 heartbeats, after the abnormal heartbeats are eliminated in step 3521, the remaining uncertain signal quantity is less than 6 heartbeats, and the signal is determined not to be the atrial fibrillation signal. If the number of remaining signals is greater than 6 heartbeats, then go to step 3523 to detect the degree of variation of heartbeats. In this step, it is calculated that after the abnormal heartbeat is removed in step 3521, uncertain heartbeats remain, and the degree of heartbeat variation is favorable for further interpretation of the remaining uncertain signals. The criterion for calculating the variation degree of the heartbeats is to calculate the ratio of the heartbeats within a threshold range to the total heartbeats, and in one embodiment of the present invention, the threshold range is that the heart beat difference is between 10bpm and 40 bpm. Next, in step 3524, the second abnormal screening database is compared to determine whether atrial fibrillation exists. In this step, the degree of heartbeat variation calculated in step 3523 is compared with the second abnormality screening database to determine whether the patient is in atrial fibrillation. The content of the second abnormal screening database is "" the heart beat with heart beat difference within a threshold range, the rate threshold of all heart beats "". The range of the heartbeat difference threshold is the same as the range of the heartbeat difference threshold in step 3523, and in one embodiment of the present invention, the heartbeat difference is between 10bpm and 40 bpm. The threshold ratio may be 40-60% in one embodiment of the present invention. That is, if the heart beat with the heart beat difference of 10-40bpm is larger than 40-60% of the total heart beat, it is determined that the heart is in atrial fibrillation. If the atrial fibrillation signal is identified in this step, the procedure also proceeds to step 36 to alert for atrial fibrillation.
Referring to fig. 6, in another embodiment, if the comparison of the second abnormal filtering database in step 3524 determines whether the atrial fibrillation exists, then the heartbeat with the heartbeat difference meeting the heartbeat difference threshold range is found, and if the proportion of all heartbeats does not exceed the ratio threshold of the second abnormal filtering database, the third filtering stage in step 353 can be entered, and at this stage, a less obvious atrial fibrillation signal can be further filtered. The detailed steps of the third stage screening are as follows: step 3531, the third normal screening database is compared to determine whether atrial fibrillation is occurring. The judgment rule at this stage is to judge the correlation of abnormal heartbeats. The method for determining the correlation between abnormal heartbeats includes examining whether there is a multiple relationship between the interval between the front and back heartbeats of the abnormal heartbeats and the normal heartbeats, and if the interval between the two heartbeats of the abnormal heartbeats and the interval between the two heartbeats of the normal waves present a multiple relationship, and the multiple relationship conforms to a multiple relationship threshold value calculated, determining that the abnormal signal is correlated with the normal signal, which indicates that the signal may not belong to the atrial fibrillation signal, and further analyzing the signal. In an embodiment, the multiple relation threshold may be any value from 1.3 times to 2.5 times, and is not limited in the present invention. The correlation of abnormal heartbeats is 50-80% at a threshold value of 1.3-2.5 times. In this embodiment, if the correlation of the abnormal heartbeat is less than 50-80%, it can be determined as atrial fibrillation, and step 36 can be entered to issue an atrial fibrillation alert. On the contrary, in this embodiment, if the interval time between two heartbeats of the abnormal heartbeat and the interval time between two heartbeats of the normal wave are in a multiple relationship of 1.3 to 2.5 times, that is, the correlation between the abnormal heartbeat and the normal wave reaches 50 to 80%, indicating that whether the abnormal heartbeat is an atrial fibrillation signal is not determined, the process goes to step 3532 for further analysis. Then, step 3532 is performed to calculate the standard deviation of the inter-heartbeat time, and the standard deviation of the inter-heartbeat time of the remaining signals after the abnormal heartbeat is removed in the second stage of screening is calculated for further screening and judgment. Step 3533, the third anomaly filtering database is compared to determine whether atrial fibrillation is occurring, and less obvious abnormal data can be filtered out at this stage. The third anomaly filtering database used in step 3533 is a judgment rule written for counting the heartbeat trend of the atrial fibrillation person, and includes the average value of the normal heart rate, the standard deviation of the heart rate, the distribution state and proportion of the difference values of the adjacent heart rates, and the like, and can be compared with the values calculated in step 3532 for reference, so as to filter out signals consistent with the atrial fibrillation data. The statistical approach of the third normal screening database is the same as the first normal screening database used in step 3513 and the second abnormal screening database used in step 3524, but the numerical range of the third normal screening database is the smallest, so that the less significant atrial fibrillation signals can be screened more accurately and strictly. In one embodiment, the third exception screening database includes a value that is the "standard deviation threshold for normal heartbeats". In one embodiment, the normal heartbeat standard deviation threshold is 5-15bpm, such as 10 bpm. If the standard deviation threshold of normal heartbeats of the third exception screening database is 10bpm and the value calculated in step 3532 is greater than 10bpm, atrial fibrillation can be determined and step 36 of atrial fibrillation warning is also performed.
Referring to fig. 7, fig. 7 is a flowchart illustrating an abnormal heartbeat detection procedure according to the present invention. Step 37, determining whether there is an abnormal heartbeat, which includes the steps of: step 371, calculating median of all heartbeat interval time within a preset time interval; step 372, calculating the difference between the interval time of all heartbeats and the median; step 373, calculating the time interval difference between adjacent heartbeats, wherein step 373 is not a necessary step, but can be determined more precisely if the processing of this step is added; step 374, judging whether the difference value between each heartbeat interval time and the median is greater than the abnormal heartbeat threshold value. In an embodiment of the invention, the abnormal heartbeat threshold may be 5-15bpm, but the invention is not limited thereto. If the abnormal heartbeat threshold value is 5-15bpm and the difference value of the median of each heartbeat interval time and all heartbeat interval times is less than 5-15bpm of the abnormal heartbeat threshold value, entering a step 375, judging that the abnormal heartbeat does not exist, and not warning; and if the difference value between the heart beat interval time and the median of all the heart beat interval times is greater than the abnormal heart beat threshold value by 5-15bpm, the step 39 is entered, and the arrhythmia is warned. In one embodiment of the present invention, the arrhythmia alert is displayed on the second display device 113, and in other embodiments, the arrhythmia alert may be displayed in other manners or as an audible alert.
In another embodiment of the present invention, the signal processing method for evaluating the health of the individual by the heartbeat-related signal executed by the heartbeat analyzing module 13 of the present invention further includes a disease condition analyzing step (not shown in the figure). This step can further accurately analyze the heartbeat message after the abnormal heartbeat detection step. The detection is performed when it is determined that there is no atrial fibrillation signal, and the physiological state represented by the heartbeat is determined, and arrhythmia can be determined. The method comprises the following steps: the heart rate analysis module 13 utilizes a rhythm calculation program to determine the occurrence position of the abnormal heartbeat in the heartbeat interval time signal, for example, 10 waves exist in the whole signal segment, and if the 2 nd wave is detected, the occurrence position is 2. The memory device 13 stores information of what kind of symptoms each abnormal heartbeat position may correspond to, and the rhythm calculation program can analyze the detected abnormal heartbeat position, compare with the stored database data, further judge the detected position information, which may correspond to what symptoms, whether each data has an early wave, a fast heartbeat, a slow heartbeat or a special linkage, for example, when the abnormal heartbeat and the normal heartbeat appear more than two times at intervals, it is "dual linkage law". After obtaining the analysis result, a syndrome signal is sent to a display device, in one embodiment, the second display device 113.
In each embodiment of the invention, a heart disease analysis module can be added on a traditional household sphygmomanometer to form a heart and blood vessel disease monitor with the functions of blood pressure measurement and heart rate analysis, and the monitor is very convenient for daily cardiovascular health monitoring of patients.
Although the invention has been described with respect to the above preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A sphygmomanometer with a heart rate analysis module, comprising:
the blood pressure measuring device is used for measuring and outputting a blood pressure signal of a user;
the heart rate analysis module is used for detecting and outputting a heart rate signal of the user;
the host is connected with the blood pressure measuring device and the heart rate analysis module, is provided with a microprocessor and is used for processing the blood pressure signal of the user and the heart rate signal of the user and obtaining a heart rate measuring result;
the heart rate analysis module processes and calculates the received heart rate signal in a specific period and outputs an analysis result for judging whether the heartbeat signal is an atrial fibrillation signal;
the control panel is arranged on one side surface of the host machine and used for connecting and controlling the blood pressure measuring device and the heart rate analysis module; and
the second display equipment is adjacently arranged on one side of the control panel, is connected with the microprocessor and is used for displaying the waveform of the heart rate measurement result;
wherein the steps of processing and calculating performed by the heart rate analysis module include:
the first stage screening, calculating the heart rate, the average value of all heart beat interval time, the standard deviation and the time difference value of adjacent heart beat intervals in preset time, comparing the calculated values with a first normal screening database, and judging whether the heart beat is not in atrial fibrillation; and
if the screening result of the first-stage screening shows that the heartbeat signal is probably atrial fibrillation heartbeat, the second-stage screening is carried out, abnormal heartbeat and residual uncertain heartbeat are eliminated by judging whether the difference value between the interval time of adjacent heartbeats and the median is larger than an abnormal heartbeat threshold value, then the residual uncertain heartbeat number is compared with a number threshold value of a second normal screening database, if the residual uncertain heartbeat number is larger than the number threshold value, the heartbeat variation degree is further detected, and the heartbeat variation degree detection is compared with a ratio threshold value of the second abnormal screening database to judge whether the residual uncertain heartbeat is atrial fibrillation.
2. The sphygmomanometer of claim 1, wherein the sphygmomanometer further comprises a first display device for displaying a waveform of the blood pressure measurement result.
3. The sphygmomanometer of claim 1, wherein the heart rate measurement result of the heart rate analysis module is a PPG signal.
4. The sphygmomanometer of claim 1, wherein the heart rate analysis module senses the heart rate signal using a light transmission measurement method or an electrical signal measurement method.
5. The sphygmomanometer of claim 1, wherein the heart rate analysis module detects a high resolution beat interval signal (R-R interval).
6. A sphygmomanometer with a heart rate analysis module, comprising:
the blood pressure measuring device is used for measuring and outputting a blood pressure signal of a user;
the heart rate analysis module is used for detecting and outputting a heart rate signal of the user, and is provided with a first microprocessor used for processing the heart rate signal of the user;
wherein, the first microprocessor processes and calculates the received heart rate signal in a specific period, and outputs an analysis result for judging whether the heartbeat signal is an atrial fibrillation signal;
the host is connected with the blood pressure measuring device and the first microprocessor of the heart rate analysis module, is additionally provided with a second microprocessor and is used for processing the blood pressure signal of the user and the heart rate signal of the user and obtaining a heart rate measuring result; the control panel is arranged on one side surface of the host machine and used for connecting and controlling the blood pressure measuring device and the heart rate analysis module; and
the second display equipment is adjacently arranged on one side of the control panel, is connected with the second microprocessor and is used for displaying the waveform of the heart rate measurement result;
wherein the steps of processing and calculating performed by the heart rate analysis module include:
the first stage screening, calculating the heart rate, the average value of all heart beat interval time, the standard deviation and the time difference value of adjacent heart beat intervals in preset time, comparing the calculated values with a first normal screening database, and judging whether the heart beat is not in atrial fibrillation; and
if the screening result of the first-stage screening shows that the heartbeat signal is probably atrial fibrillation heartbeat, the second-stage screening is carried out, abnormal heartbeat and residual uncertain heartbeat are eliminated by judging whether the difference value between the interval time of adjacent heartbeats and the median is larger than an abnormal heartbeat threshold value, then the residual uncertain heartbeat number is compared with a number threshold value of a second normal screening database, if the residual uncertain heartbeat number is larger than the number threshold value, the heartbeat variation degree is further detected, and the heartbeat variation degree detection is compared with a ratio threshold value of the second abnormal screening database to judge whether the residual uncertain heartbeat is atrial fibrillation.
7. The sphygmomanometer of claim 6, wherein the sphygmomanometer further comprises a first display device for displaying a waveform of the blood pressure measurement result.
8. The sphygmomanometer of claim 6, wherein the heart rate analysis module is configured to detect a high resolution beat interval signal (R-R interval).
9. A heart rate analysis module, comprising:
a light source device for providing a light source and irradiating the light source on an object;
the signal sensing device is used for measuring a reflected signal irradiated from the object by the light source and then outputting a high-resolution heartbeat interval signal of a user; and
the microprocessor is used for storing a threshold value and executing an arithmetic flow to analyze the heartbeat signal of the user, obtaining the heartbeat variation degree through the arithmetic flow, comparing the heartbeat variation degree with the threshold value stored by the microprocessor and analyzing the heart health condition of the user;
wherein the step of calculating the process comprises:
the first stage screening, calculating the heart rate, the average value of all heart beat interval time, the standard deviation and the time difference value of adjacent heart beat intervals in preset time, comparing the calculated values with a first normal screening database, and judging whether the heart beat is not in atrial fibrillation; and
if the screening result of the first-stage screening shows that the heartbeat signal is possibly atrial fibrillation heartbeat, the second-stage screening is carried out, abnormal heartbeat and residual uncertain heartbeat are eliminated by judging whether the difference value between the interval time of adjacent heartbeats and the median is larger than an abnormal heartbeat threshold value, then the residual uncertain heartbeat number is compared with a number threshold value of a second normal screening database, if the residual uncertain heartbeat number is larger than the number threshold value, the degree of heartbeat variation is further detected, and the detection of the degree of heartbeat variation is compared with a ratio threshold value of a second abnormal screening database to judge whether the residual uncertain heartbeat is atrial fibrillation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510781252.7A CN106691417B (en) | 2015-11-13 | 2015-11-13 | Sphygmomanometer with heart rate analysis module |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510781252.7A CN106691417B (en) | 2015-11-13 | 2015-11-13 | Sphygmomanometer with heart rate analysis module |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106691417A CN106691417A (en) | 2017-05-24 |
| CN106691417B true CN106691417B (en) | 2020-09-29 |
Family
ID=58930799
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510781252.7A Active CN106691417B (en) | 2015-11-13 | 2015-11-13 | Sphygmomanometer with heart rate analysis module |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106691417B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114431843A (en) * | 2022-01-25 | 2022-05-06 | 华中科技大学 | Portable intelligent medical measuring equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101150981A (en) * | 2005-02-25 | 2008-03-26 | 约瑟夫·威塞尔 | Method and apparatus for detecting atrial fibrillation |
| CN104837401A (en) * | 2012-12-14 | 2015-08-12 | 皇家飞利浦有限公司 | System and method to detect significant arrhythmic events through photoplethysmogram (PPG) and accelerometer |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101773389A (en) * | 2009-01-14 | 2010-07-14 | 豪展医疗科技股份有限公司 | Physiological signal detecting system and method |
| CN201365917Y (en) * | 2009-03-17 | 2009-12-23 | 东莞美城电子电器有限公司 | Wrist type multifunctional manometer |
| CN108903920A (en) * | 2013-01-15 | 2018-11-30 | 飞比特公司 | Portable biometric metering monitor and its operating method |
-
2015
- 2015-11-13 CN CN201510781252.7A patent/CN106691417B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101150981A (en) * | 2005-02-25 | 2008-03-26 | 约瑟夫·威塞尔 | Method and apparatus for detecting atrial fibrillation |
| CN104837401A (en) * | 2012-12-14 | 2015-08-12 | 皇家飞利浦有限公司 | System and method to detect significant arrhythmic events through photoplethysmogram (PPG) and accelerometer |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106691417A (en) | 2017-05-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI610655B (en) | A blood pressure monitor coordinated with a cardiovascular health condition monitoring module | |
| US8388542B2 (en) | System for cardiac pathology detection and characterization | |
| JP5384026B2 (en) | False positive alarm reduction of SPO2 atrial fibrillation detection using average heart rate and NIBP | |
| US7846106B2 (en) | Atrial fibrillation detection using SPO2 | |
| US8668649B2 (en) | System for cardiac status determination | |
| WO2019161609A1 (en) | Method for analyzing multi-parameter monitoring data and multi-parameter monitor | |
| WO2019161608A1 (en) | Multi-parameter monitoring data analysis method and multi-parameter monitoring system | |
| US20080200819A1 (en) | Orthostasis detection system and method | |
| JP2009089883A (en) | Atrial fibrillation detector, system and method | |
| US10028672B2 (en) | Wearable device which diagnosis personal cardiac health condition by monitoring and analyzing heartbeat and the method thereof | |
| WO2005096922A1 (en) | Physiological assessment system | |
| EP3141190A1 (en) | Heart rate detection method and device using heart sound acquired from ausculation positions | |
| US20100106030A1 (en) | Method and system for automated measurement of pulsus paradoxus | |
| JP2019201886A (en) | Atrial fibrillation detection device, atrial fibrillation detection method, and computer program | |
| JP2009525117A (en) | Ultrasonic method and apparatus for measuring or detecting non-sinusoidal periodic flow effects | |
| CN106691417B (en) | Sphygmomanometer with heart rate analysis module | |
| US9211070B2 (en) | Evaluation of peripheral arterial disease in a patient using an oscillometric pressure signal obtained at a lower extremity of the patient | |
| US9320445B2 (en) | System for cardiac condition detection responsive to blood pressure analysis | |
| EP3417771A1 (en) | A method for monitoring blood pressure, and a device thereof | |
| KR20040043981A (en) | Health monitoring system on heart rate recorder and HRV analysis | |
| WO2023117051A1 (en) | Wearable device and method of cardiovascular monitoring | |
| CN116211345A (en) | Fetal heart Doppler instrument | |
| EP1857047B1 (en) | Method for judging irregular heartbeat | |
| CN114680846A (en) | Monitoring system and physiological parameter monitoring method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |