CN109907745A - Continuous rate pressure electrocardioscanner - Google Patents

Continuous rate pressure electrocardioscanner Download PDF

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Publication number
CN109907745A
CN109907745A CN201910320308.7A CN201910320308A CN109907745A CN 109907745 A CN109907745 A CN 109907745A CN 201910320308 A CN201910320308 A CN 201910320308A CN 109907745 A CN109907745 A CN 109907745A
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data
blood pressure
module
electrocardioscanner
ecg
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CN201910320308.7A
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Inventor
桑胜波
万培
张益霞
张博
刘伟伟
袁仲云
张成然
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Taiyuan University of Technology
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Taiyuan University of Technology
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Priority to CN201910320308.7A priority Critical patent/CN109907745A/en
Publication of CN109907745A publication Critical patent/CN109907745A/en
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Abstract

The invention discloses a kind of continuous rate pressure electrocardioscanners, detector mainly chooses NRF52832 chip as main control MCU, corresponding hardware circuit is installed, sensor is divided into inner ring and outer rings, annular inner portion is integrated with 4 green LEDs and 2 highly sensitive light sensation IC, and high sensitivity light sensation IC is coated with nano coating.Outer ring portion has two electrodes, and built-in high-precision pre-amplification circuit effectively improves the stability of data acquisition.Acquisition signal, which is input in controller chip after filter and amplification, carries out data processing, and blood pressure information and electrocardiogram are uploaded in cell phone application by the Bluetooth function that NRF52832 main control module carries and shown, cell phone application analyzes received data, provides preliminary diagnostic result;The configuration of the present invention is simple, easy to use, detection is accurate sensitive, can accurate lasting measurement blood pressure and electrocardiosignal.

Description

Continuous rate pressure electrocardioscanner
Technical field
The continuous rate pressure electrocardioscanner of the present invention, belongs to rate pressure cardioelectric monitor technical field.
Background technique
Cardiovascular disease is one of the principal disease of threat human life, and electrocardiosignal (electrocardiogram, It ECG) is concentrated expression of the cardiac electrical activity in body surface, normal blood pressure is the premise of blood circulation flowing, and hypopiesia is excessively high (low blood pressure, hypertension) can all cause serious consequence, and therefore, electrocardiogram inspection and monitoring of blood pressure are for the detection and diagnosis heart Dirty disease and other vascular diseases are of great significance, and also have important research valence from the angle of life information science Value.
Currently, ECG signal sampling needs patient to go to hospital, detected by specified doctor, doctor is successively in body On stick 6 or 12 electrode slices, successively measure each point electrocardiosignal, ultimately produce report, entire detection process needs about 15 minutes or so.Moreover, detecting instrument is bulky, operating process is cumbersome, and patient needs to lie low in the state of tranquillization, entirely Detection process is time-consuming and laborious.If it is intended to measurement blood pressure, needs doctor to be measured with sphygmomanometer, aeration zone is tied up in arm On, blood pressure measurement need 5 minutes, and can only single measurement, human blood-pressure information cannot be continued to monitor.
Summary of the invention
In order to overcome the deficiencies of the prior art, the present invention provides continuous rate pressure electrocardioscanner, the monitor structures Simply, compact supports dynamic to measure, data exception warning function, low manufacture cost, and effectively improves data acquisition Stability.
The invention is realized by the following technical scheme:
Continuous rate pressure electrocardioscanner, including central controller, power module, two ecg signal acquiring modules and two Blood pressure sensor, the central controller and power module are respectively arranged at the inside of the first shading annulus and the second shading annulus Face, and pass through electrical connection band connection;
First ecg signal acquiring module and the first blood pressure sensor are set to the first shading annulus medial surface, the second electrocardiosignal Acquisition module and the second blood pressure sensor are set to the second shading annulus medial surface, and the central controller is connected by control circuit Connect the first ecg signal acquiring module and the first blood pressure sensor, the second ecg signal acquiring module and the second blood pressure sensing Device connects central controller with control circuit by electrical connection band;
The blood pressure sensor is photoelectricity blood pressure sensor, including inner ring and outer rings, the inner ring integrate 4 green LEDs and 2 The surface of a high sensitivity light sensation IC, the high sensitivity light sensation IC and skin contact is coated with the nano coating of corresponding wavelength, institute Stating outer ring setting, there are two electrode, built-in high-precision pre-amplification circuits;
The ecg signal acquiring module includes insulating sponge top layer, is embedded at insulating sponge center and the electricity on skin contact surface The high-precision amplification circuit that pole is popped one's head in and is set to inside insulating sponge, the motor probe pass through high-precision amplification circuit connection Central controller;
The central controller includes main control module and data processing module, and the main control module uses NRF52832 chip, institute The data processing module of central controller is stated using QRS complex detection algorithm;
Digital signal is converted after filter and amplification by the photoelectricity blood pressure sensor for the analog signal received, is transferred to data Processing module;The ecg signal acquiring module converts digital data transmission for collected analog signal and gives data processing mould The electrocardiosignal identification of block, the data processing module uses K- nearest neighbor algorithm;
The data processing module will treated data, the Bluetooth function carried by main control module, by blood pressure information and the heart Electrograph is uploaded in cell phone application and is shown, cell phone application analyzes received data, provides preliminary diagnostic result.
The QRS complex detection algorithm is realized using moving window integral algorithm.
The moving window integral algorithm is realized by following steps:
1) it selects passband for the bandpass filter of 5-20Hz, the signal of QRS complex is filtered out, after differential again square;Remake shifting Dynamic window integral, integrating resulting signal not only includes the slope information of QRS complex, but also includes the information of the width of QRS complex;
Processing by window integration method to ECG waveform, judges, near QRS wave, the starting point of rising edge is exactly QRS wave Starting point, the terminal of rising edge are the terminals for being exactly QRS wave;
2) it is then detected using two kinds of threshold values, first is that threshold test is carried out to the signal after band-pass filter, it is another A is to carry out threshold test to the signal after moving window integral;
The threshold test refers to,, can when slope r is at range [1.5,3] to the deterministic process of each point slope on integral figure Tentatively it is judged as the starting point of QRS wave, can be tentatively judged as the terminal of QRS wave when slope r is in range [1,1.5];
3) size of threshold value is constantly adjusted with the fluctuation of signal.
The power module is powered using button cell.
The material of the first shading annulus and the second shading annulus is disposable black cotton annulus, with skin contact Has hydrogel patch on face, the hydrogel patch two sides all has viscosity, is a kind of macromolecule network system, passes through perception The small variation of light, electricity, pressure in external environment generates corresponding physical structure variation.
The K- nearest neighbor algorithm the following steps are included:
1) ECG data is collected, obtains the ECG data set of a large sample quantity, referred to as training sample set, described Concentrating each data, there are labels, that is, know each data and the relationship classified belonging to it in sample set;
2) after inputting the not new data of label, each feature of new data feature corresponding with sample intensive data is compared Compared with, then by mahalanobis distance algorithm extract sample set in the most like data of feature tag along sort;Sample data is selected to concentrate Preceding k most like data;
The mahalanobis distance indicates the covariance distance of data, is a kind of side of similarity for effectively calculating two sample sets Method;
3) the most data of frequency of occurrence are classified in k most like data of selection, the classification as new data;
4) new ECG data deposits into inside training sample set.
Preferably, the k is less than 20.
Preferably, the k is 15.
The method for carrying out continuous rate pressure cardioelectric monitor using the rate pressure electrocardioscanner, including walk as follows It is rapid:
1) by the first shading annulus A point, the second shading annulus is attached to B point, two blood pressure sensors and two electrocardio letters respectively Number acquisition module is close to skin, and the A point is located at 5 intercostal space of left border of sternum, and the B point is located at 5 rib of left border of sternum and left clavicle Central point;
2) in A, B two o'clock acquires signal, is input in central controller chip after filter and amplification and is transmitted to data processing module, number According to processing module by obtained data processing be blood pressure values and ECG data, be then passed to central controller;The data The ECG's data compression of processing module uses QRS complex detection algorithm;
3) cell phone application is transferred data to by the Bluetooth function that central controller carries, user checks monitoring data at any time.
Compared with prior art, the invention has the following beneficial effects:
A kind of continuous rate pressure electrocardioscanner provided by the invention, structure is simple, compact, and dynamic is supported to measure, number According to abnormal alarm function, low manufacture cost;Detector mainly chooses NRF52832 chip as main control MCU, and designs installation phase The hardware circuit answered, the sensor that wherein we design are divided into inner ring and outer rings, and annular inner portion is integrated with 4 green LEDs and 2 A high sensitivity light sensation IC, and receiving end is coated with the nano coating of corresponding wavelength.Outer ring portion has two electrodes, built-in high-precision Pre-amplification circuit is spent, the stability of data acquisition is effectively improved.
Acquisition signal, which is input in controller chip after filter and amplification, carries out data processing, and passes through NRF52832 master control Blood pressure information and electrocardiogram are uploaded in cell phone application by the included Bluetooth function of module to be shown, cell phone application is to received number According to being analyzed, preliminary diagnostic result is provided;The configuration of the present invention is simple, easy to use, detection is accurate sensitive, can accurately hold Continuous measurement blood pressure and electrocardiosignal.
By K- nearest neighbor algorithm, the information in electrocardiogram can be fast and accurately identified, according to huge ECG data Library, efficient recognizer and ability of self-teaching, the accuracy for the electrocardiographic diagnosis system ecg information diagnosis that we design Reach 90%.
Due to T wave, it has more high fdrequency components for the QRS complex detection algorithm reduction realized using moving window integral algorithm Caused by false positive, the size of threshold value constantly adjusts with the fluctuation of signal, and the reliability of detection can be improved in this way, especially can be with Prevent false positive caused by noise.
Detailed description of the invention
Fig. 1 is schematic structural view of the invention;
Fig. 2 is the circuit diagram of central controller of the present invention;
Fig. 3 is the circuit diagram of ecg signal acquiring module of the present invention;
Fig. 4 is the circuit diagram of photoelectricity blood pressure sensor of the present invention;
Fig. 5 is the circuit diagram of data processing module of the present invention;
Fig. 6 is the circuit diagram of power module of the present invention;
Fig. 7 is that the present invention uses absorption point schematic diagram;
Fig. 8 is APP display interface of the present invention;
Fig. 9 is K- nearest neighbor algorithm electrocardiosignal identification process figure;
Figure 10 is QRS complex detection algorithm flow chart.
Figure 11 is the detection schematic diagram of R wave.
Figure 12 is photoelectricity blood pressure sensor structural schematic diagram.
Figure 13 is ecg signal acquiring modular structure schematic diagram.
In figure: 1- shading annulus, 2- central controller, 3- ecg signal acquiring module, 4- blood pressure sensor, 5- electrically connect Tape splicing, 6- power module, the first shading of 11- annulus, the second shading of 12- annulus, the first ecg signal acquiring of 31- module, 32- Two ecg signal acquiring modules, 33- insulating sponge, 34- electrode probe, 35- high-precision amplification circuit, the first blood pressure of 41- sensing Device, the second blood pressure sensor of 42-, 43- green LED, 44- high sensitivity light sensation IC, 45- pin.
Specific embodiment
The present invention is described in further detail combined with specific embodiments below, but protection scope of the present invention is not Be limited to these embodiments, it is all without departing substantially from the change of present inventive concept or equivalent substitute be included in protection scope of the present invention it It is interior.
As shown in Figure 1,
1. continuous rate pressure electrocardioscanner, including 6, two central controller 2, power module shading annulus the first shadings of 1( Annulus 11 and the second shading annulus 12), two ecg signal acquiring module the first ecg signal acquiring of 3(modules 31 and second heart Electrical signal collection module 32) and two blood pressure sensors 4 (the first blood pressure sensor 41 and the second blood pressure sensor 42), it is described in Centre controller 2 and power module 6 are respectively arranged at the medial surface of the first shading annulus 11 and the second shading annulus 12, and pass through electricity Gas connecting band 5 connects;
The power module is powered using button cell, and the button cell selects 3V CR2032 lithium-manganese cell, battery ruler Very little (Max.Size): Φ 20.0X3.2mm;
The material of the first shading annulus 11 and the second shading annulus 12 is disposable black cotton annulus, disposable cotton material Safety and sanitation are comfortable when matter uses;With on the face of skin contact have hydrogel patch, the hydrogel patch two sides all has Viscosity, is a kind of macromolecule network system, and property is soft, is able to maintain certain shape, by light in sensing external environment, electricity, The small variation or stimulation of pressure, and corresponding physical structure variation can be generated, it is exaggerated the dynamic of skin to a certain extent State variation characteristic.
First ecg signal acquiring module 31 and the first blood pressure sensor 41 are set to 11 medial surface of the first shading annulus, the Two ecg signal acquiring modules 32 and the second blood pressure sensor 42 are set to 12 medial surface of the second shading annulus, the center control Device 2 connects the first ecg signal acquiring module 31 and the first blood pressure sensor 41, second electrocardiosignal by control circuit Acquisition module 32 connects central controller 2 with control circuit by being electrically connected band 5 with the second blood pressure sensor 42;
The blood pressure sensor 4 is photoelectricity blood pressure sensor, including inner ring and outer rings, and as shown in figure 12, the inner ring is 4 integrated Green LED 43 and 2 highly sensitive light sensation IC 44, the high sensitivity light sensation IC 44 and the surface of skin contact are coated with The nano coating of corresponding wavelength, there are two electrode, built-in high-precision pre-amplification circuit, the outer rings to set for the interior setting of the outer ring 6 pins 45 are set, are transmitted for photooptical data;The pin connects central controller 2;
As shown in figure 13, the ecg signal acquiring module 3 include insulating sponge top layer 33, be embedded at 33 center of insulating sponge with Electrode probe 34 on skin contact surface and the high-precision amplification circuit 35 being set to insulating sponge 33 inside, the motor are popped one's head in 34 connect central controller 2 by high-precision amplification circuit 35;
The central controller includes main control module and data processing module, and the main control module uses NRF52832 chip, institute The data processing module of central controller is stated using QRS complex detection algorithm;
Digital signal is converted after filter and amplification by the photoelectricity blood pressure sensor for the analog signal received, is transferred to data Processing module;The ecg signal acquiring module converts digital data transmission for collected analog signal and gives data processing mould The electrocardiosignal identification of block, the data processing module uses K- nearest neighbor algorithm;
The data processing module will treated data, the Bluetooth function carried by main control module, by blood pressure information and the heart Electrograph is uploaded in cell phone application and is shown, cell phone application analyzes received data, provides preliminary diagnostic result.
Cell phone application analyzes received data, and sensor is converted to APP by the digital signal that bluetooth is sent back In picture and text, it is as a result more visual in image.And measured data is stored in inside mobile phone, (1 point of single can be carried out Clock), in short-term (one hour), it is long when (6 hours) measurement data comprehensive analysis, measurement result is more accurate and reliable.
The QRS complex detection algorithm realizes that the moving window integral algorithm passes through using moving window integral algorithm Following steps are realized:
1) it selects passband for the bandpass filter of 5-20Hz, the signal of QRS complex is filtered out, after differential again square;Remake shifting Dynamic window integral, integrating resulting signal not only includes the slope information of QRS complex, but also includes the information of the width of QRS complex;
It is the detection schematic diagram to R wave in Figure 11, the processing by window integration method to ECG waveform can clearly be judged, Near QRS wave, the starting point of rising edge is exactly the starting point of QRS wave, and the terminal of rising edge is the terminal for being exactly QRS wave;
2) it is then detected using two kinds of threshold values, first is that threshold test is carried out to the signal after band-pass filter, it is another A is to carry out threshold test to the signal after moving window integral;
The threshold test refers to,, can when slope r is at range [1.5,3] to the deterministic process of each point slope on integral figure Tentatively it is judged as the starting point of QRS wave, can be tentatively judged as the terminal of QRS wave when slope r is in range [1,1.5];
3) size of threshold value is constantly adjusted with the fluctuation of signal.
The K- nearest neighbor algorithm the following steps are included:
1) ECG data is collected, obtains the ECG data set of a large sample quantity, referred to as training sample set, described Concentrating each data, there are labels, that is, know each data and the relationship classified belonging to it in sample set;
2) after inputting the not new data of label, each feature of new data feature corresponding with sample intensive data is compared Compared with, then by mahalanobis distance algorithm extract sample set in the most like data of feature tag along sort;Sample data is selected to concentrate Preceding k most like data;
The mahalanobis distance indicates the covariance distance of data, is a kind of side of similarity for effectively calculating two sample sets Method;
3) the most data of frequency of occurrence are classified in k most like data of selection, the classification as new data;
4) new ECG data deposits into inside training sample set.
Preferably, the k is less than 20.
Preferably, the k is 15.
The method for carrying out continuous rate pressure cardioelectric monitor using the rate pressure electrocardioscanner, including walk as follows It is rapid:
1) by the first shading annulus A point, the second shading annulus is attached to B point, two blood pressure sensors and two electrocardio letters respectively Number acquisition module is close to skin, and the A point is located at 5 intercostal space of left border of sternum, and the B point is located at 5 rib of left border of sternum and left clavicle Central point;
2) in A, B two o'clock acquires signal, is input in central controller chip after filter and amplification and is transmitted to data processing module, number According to processing module by obtained data processing be blood pressure values and ECG data, be then passed to central controller;The data The ECG's data compression of processing module uses QRS complex detection algorithm;
3) cell phone application is transferred data to by the Bluetooth function that central controller carries, user checks monitoring data at any time.
A kind of continuous rate pressure electrocardioscanner provided by the invention, structure is simple, compact, and dynamic is supported to survey Amount, data exception warning function, low manufacture cost;Detector mainly chooses NRF52832 chip as main control MCU, and designs peace Corresponding hardware circuit is filled, the sensor that wherein we design is divided into inner ring and outer rings, and annular inner portion is integrated with 4 green LEDs And 2 highly sensitive light sensation IC, and receiving end is coated with the nano coating of corresponding wavelength.Outer ring portion has two electrodes, interior High-precision pre-amplification circuit is set, the stability of data acquisition is effectively improved.
Acquisition signal, which is input in controller chip after filter and amplification, carries out data processing, and passes through NRF52832 master control Blood pressure information and electrocardiogram are uploaded in cell phone application by the included Bluetooth function of module to be shown, cell phone application is to received number According to being analyzed, preliminary diagnostic result is provided;The configuration of the present invention is simple, easy to use, detection is accurate sensitive, can accurately hold Continuous measurement blood pressure and electrocardiosignal.
The present invention is not limited by embodiment illustrated herein, and is to fit to and principles disclosed herein and novelty The consistent widest range of feature.

Claims (8)

1. continuous rate pressure electrocardioscanner, which is characterized in that including central controller, power module, two electrocardiosignals Acquisition module and two blood pressure sensors, the central controller and power module are respectively arranged at the first shading annulus and second The medial surface of shading annulus, and pass through electrical connection band connection;
First ecg signal acquiring module and the first blood pressure sensor are set to the first shading annulus medial surface, the second electrocardiosignal Acquisition module and the second blood pressure sensor are set to the second shading annulus medial surface, and the central controller is connected by control circuit Connect the first ecg signal acquiring module and the first blood pressure sensor, the second ecg signal acquiring module and the second blood pressure sensing Device connects central controller with control circuit by electrical connection band;
The blood pressure sensor is photoelectricity blood pressure sensor, including inner ring and outer rings, the inner ring integrate 4 green LEDs and 2 The surface of a high sensitivity light sensation IC, the high sensitivity light sensation IC and skin contact is coated with nano coating, the outer ring setting There are two electrode, built-in high-precision pre-amplification circuits;
The ecg signal acquiring module includes insulating sponge top layer, is embedded at insulating sponge center and the electricity on skin contact surface The high-precision amplification circuit that pole is popped one's head in and is set to inside insulating sponge, the motor probe pass through high-precision amplification circuit connection Central controller;
The central controller includes main control module and data processing module, and the data processing module of the central controller uses QRS complex detection algorithm;
Digital signal is converted after filter and amplification by the photoelectricity blood pressure sensor for the analog signal received, is transferred to data Processing module;The ecg signal acquiring module converts digital data transmission for collected analog signal and gives data processing mould The electrocardiosignal identification of block, the data processing module uses K- nearest neighbor algorithm;
The data processing module will treated data, the Bluetooth function carried by main control module, by blood pressure information and the heart Electrograph is uploaded in cell phone application and is shown, cell phone application analyzes received data, provides preliminary diagnostic result.
2. continuous rate pressure electrocardioscanner according to claim 1, which is characterized in that the QRS complex detection is calculated Method is realized using moving window integral algorithm.
3. continuous rate pressure electrocardioscanner according to claim 2, which is characterized in that the moving window integral is calculated Method is realized by following steps:
1) it selects passband for the bandpass filter of 5-20Hz, the signal of QRS complex is filtered out, after differential again square;Remake shifting Dynamic window integral, integrating resulting signal not only includes the slope information of QRS complex, but also includes the information of the width of QRS complex;
Processing by window integration method to ECG waveform, judges, near QRS wave, the starting point of rising edge is exactly QRS wave Starting point, the terminal of rising edge are the terminals for being exactly QRS wave;
2) it is then detected using two kinds of threshold values, first is that threshold test is carried out to the signal after band-pass filter, it is another A is to carry out threshold test to the signal after moving window integral;The threshold test refers to, to each point slope on integral figure Deterministic process;
3) size of threshold value is constantly adjusted with the fluctuation of signal.
4. continuous rate pressure electrocardioscanner according to claim 1, which is characterized in that the power module uses knob Button battery is powered.
5. continuous rate pressure electrocardioscanner according to claim 1, which is characterized in that the first shading annulus and The material of second shading annulus is disposable black cotton annulus, on the face of skin contact have hydrogel patch, the water Gel paster two sides all has viscosity, is a kind of macromolecule network system, by light in sensing external environment, electricity, pressure it is micro- Small variation generates corresponding physical structure variation.
6. continuous rate pressure electrocardioscanner according to claim 1, which is characterized in that the K- nearest neighbor algorithm includes Following steps:
1) ECG data is collected, obtains the ECG data set of a large sample quantity, referred to as training sample set, described Concentrating each data, there are labels, that is, know each data and the relationship classified belonging to it in sample set;
2) after inputting the not new data of label, each feature of new data feature corresponding with sample intensive data is compared Compared with, then by mahalanobis distance algorithm extract sample set in the most like data of feature tag along sort;Sample data is selected to concentrate Preceding k most like data;
3) the most data of frequency of occurrence are classified in k most like data of selection, the classification as new data;
4) new ECG data deposits into inside training sample set.
7. continuous rate pressure electrocardioscanner according to claim 6, which is characterized in that the k is less than 20.
8. continuous rate pressure electrocardioscanner according to claim 7, which is characterized in that the k is 15.
CN201910320308.7A 2019-04-19 2019-04-19 Continuous rate pressure electrocardioscanner Pending CN109907745A (en)

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