CN114052682B - Physiological parameter monitoring system based on raspberry group - Google Patents
Physiological parameter monitoring system based on raspberry group Download PDFInfo
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The invention discloses a physiological parameter monitoring system based on raspberry pie, and belongs to the field of medical equipment. The system is carried on a user, the electrocardiosignals on the user are acquired through the electrocardio acquisition module, the pulse acquisition module acquires pulse wave signals on the user, the heart rate and the blood oxygen saturation can be obtained based on the two signals through the control circuit, and then the heart rate and the blood oxygen saturation can be displayed in real time through the display module, so that the change of physiological information data of the user in a daily life state can be monitored and recorded in real time, the purpose of long-time and continuous monitoring is achieved, and the understanding of the user on the physical condition of the user and the diagnosis accuracy of doctors on the patient condition are improved.
Description
Technical Field
The invention relates to the field of medical equipment, in particular to a physiological parameter monitoring system based on raspberry pie.
Background
Since many elderly people have chronic diseases and various physiological function degenerations caused by aging, health problems generally exist, and long-term monitoring of the physical condition is required. Under realistic conditions, elderly people rarely receive monitoring in medical institutions such as hospitals for a long time when no major health problems occur.
Traditional instruments for monitoring physiological parameters of human bodies often have single functions, low intelligent level or large volume, high power consumption, difficult portability and high price (such as an electrocardiograph monitor), and can measure parameters only under specific conditions, so that the application range of the instruments is limited.
Disclosure of Invention
The invention aims to provide a physiological parameter monitoring system based on raspberry pie, which aims to solve the problem that the existing instrument has single function and cannot meet the actual needs.
In order to achieve the above purpose, the invention provides a physiological parameter monitoring system based on raspberry pie, which comprises an electrocardiograph acquisition module, a pulse acquisition module, a control circuit and a display module, wherein the electrocardiograph acquisition module and the pulse acquisition module are respectively connected with the control circuit, and the display module is connected with the control circuit;
the electrocardio acquisition module is used for acquiring electrocardio signals and filtering to obtain the electrocardio signals;
the pulse acquisition module is used for acquiring pulse wave signals and filtering the pulse wave signals to obtain pulse signals;
the control circuit is used for acquiring an electrocardiosignal, calculating the heart rate, acquiring a pulse signal and calculating the blood oxygen saturation;
and the display module is used for displaying the heart rate and the blood oxygen saturation.
The pulse acquisition module comprises a finger clamp probe and a pulse acquisition front end, wherein the pulse acquisition front end comprises an LED driving circuit, a first pre-amplifying circuit, a first filtering circuit, a first ADC circuit, a first controller, a first output port and a first timer, the LED driving circuit and the first pre-amplifying circuit are respectively connected with the finger clamp probe, the first filtering circuit is connected with the first pre-amplifying circuit, the first ADC circuit is connected with the first filtering circuit, the first controller is connected with the first ADC circuit, one end of the first output port is connected with the first controller, the other end of the first output port is connected with the control circuit, and the first timer is connected with the first controller.
The electrocardio acquisition module comprises a three-electrode cable and an electrocardio acquisition front end, the electrocardio acquisition front end comprises a second pre-amplifying circuit, an analog right leg driver, a second filter circuit, a second ADC circuit, a second controller, a second output port and a second timer, the analog right leg driver and the second pre-amplifying circuit are respectively connected with the three-electrode cable, the second filter circuit is connected with the second pre-amplifying circuit, the second ADC circuit is connected with the second filter circuit, the second controller is connected with the second ADC circuit, one end of the second output port is connected with the second controller, the other end of the second output port is connected with the control circuit, and the second timer is connected with the second pre-amplifying circuit, the second filter circuit, the second ADC circuit and the second controller.
The physiological parameter monitoring system based on raspberry pie also comprises a control console, wherein the control console is in wireless connection with the control circuit; the console is used to acquire the heart rate and the blood oxygen saturation and store and playback.
The control circuit comprises a microcontroller and a raspberry group 4B, wherein the microcontroller is connected with the electrocardio acquisition module and the pulse acquisition module, and the raspberry group 4B is connected with the microcontroller;
the microcontroller is used for calculating the electrocardiosignal and the pulse signal and respectively acquiring heart rate and blood oxygen saturation;
the raspberry group 4B is used for acquiring heart rate and blood oxygen saturation and outputting the heart rate and blood oxygen saturation to the display module.
Wherein the microcontroller comprises a heart rate calculator and an oxygen saturation calculator;
the heart rate calculator is used for calculating the heart rate based on the electrocardiosignal;
the blood oxygen saturation calculator is used for calculating blood oxygen saturation based on the pulse signal.
The heart rate calculator comprises an acquisition unit, a differential unit, an absolute value unit, a search unit, a positioning unit and a heart rate calculation unit, wherein the acquisition unit, the differential unit, the absolute value unit, the search unit, the positioning unit and the heart rate calculation unit are sequentially connected;
the acquisition unit is used for continuously acquiring electrocardiosignals;
the difference unit is used for calculating a first-order difference;
the absolute value unit is used for calculating the absolute value of the electrocardiosignal after the first-order difference;
the searching unit is used for searching waveform peak points;
the positioning unit is used for positioning R waves;
the heart rate calculation unit is used for calculating the heart rate.
The blood oxygen saturation calculator comprises an acquisition unit, an inversion unit, a normalization unit, a mean value unit and a blood oxygen saturation calculation unit, wherein the acquisition unit, the inversion unit, the normalization unit, the mean value unit and the blood oxygen saturation calculation unit are sequentially connected;
the acquisition unit is used for acquiring a red light PPG signal and an infrared light PPG signal;
the inversion unit is used for removing direct current signals in the red light PPG signal and the infrared light PPG signal and inverting the signals;
the normalization unit is used for obtaining and normalizing peak and trough values in the red light PPG signal and the infrared light PPG signal;
the average value unit is used for taking the average value of the red light PPG signal and the infrared light PPG signal to obtain a red light average value and an infrared light average value;
the blood oxygen saturation calculating unit is used for calculating the blood oxygen saturation based on the red light average value and the infrared light average value.
The invention also provides a finger clip probe, which comprises a support assembly, an adjusting assembly and a measuring assembly, wherein the support assembly comprises a lower clamping plate, an upper clamping plate, a compression spring, a sliding plate, a rotating rod and a supporting plate, the supporting plate is fixedly connected with the lower clamping plate and is positioned on one side of the lower clamping plate, the sliding plate is in sliding connection with the supporting plate and is positioned on one side of the supporting plate, the rotating rod is in rotating connection with the sliding plate and is positioned on one side of the sliding plate, the upper clamping plate is fixedly connected with the rotating rod and is positioned on one side of the lower clamping plate, the compression spring is arranged above the upper clamping plate, and the upper clamping plate and the lower clamping plate clamp fingers of a tester under the action of the compression spring; the adjusting assembly comprises an adjusting rod and a stabilizing spring, the adjusting rod is in threaded connection with the sliding plate and is in rotary connection with the lower clamping plate, the stabilizing spring is arranged between the sliding plate and the lower clamping plate, and the measuring assembly comprises two infrared sensors, and the two infrared sensors are respectively arranged on the upper clamping plate and the lower clamping plate.
The invention relates to a physiological parameter monitoring system based on raspberry pie, which is carried on a user, then the electrocardiosignals on the user are acquired through an electrocardiosignal acquisition module, an ECG sensor can be adopted to acquire the electrocardiosignals, then the pulse acquisition module can be used for acquiring pulse wave signals on the user, so that pulse signals can be obtained, a control circuit can be composed of a megaly innovative GD32 MCU and a raspberry pie 4B, the heart rate and the blood oxygen saturation can be obtained based on the two signals by using the control circuit, the acquired pulse and electrocardiosignals can be received and displayed on an upper computer platform in real time by using a display module, the part is subjected to functional design and realization at a PC end, software writing is realized, real-time monitoring and recording of the change of physiological information data of the user in a life state are realized, the aim of long-time continuous monitoring is fulfilled, and meanwhile, people can avoid the influence on normal life, work and study of a doctor can not be influenced, and the accuracy of the doctor's own diagnosis of the patient can be realized. The multi-physiological-parameter system of the system can monitor people of all ages in real time, improve the living health level and quality of people, become medical monitoring which is effective for a long time and has lower cost, and solve the problem that the existing instrument has single function and can not meet the actual needs.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a raspberry group-based physiological parameter monitoring system of the present invention;
FIG. 2 is a block diagram of an electrocardiographic acquisition module of the present invention;
FIG. 3 is a block diagram of a pulse acquisition module of the present invention;
FIG. 4 is a block diagram of a heart rate calculator of the invention;
FIG. 5 is a block diagram of the blood oxygen saturation calculator of the present invention;
FIG. 6 is a calculation flow chart of the heart rate calculator of the present invention;
FIG. 7 is a calculation flow chart of the blood oxygen saturation calculator of the present invention;
FIG. 8 is a block diagram of a finger grip probe of the present invention;
FIG. 9 is a left side block diagram of a finger grip probe of the present invention;
fig. 10 is a right side block diagram of the finger grip probe of the present invention.
1-electrocardio acquisition module, 2-pulse acquisition module, 3-control circuit, 4-display module, 5-control console, 6-support assembly, 7-adjustment assembly, 8-measurement assembly, 11-three electrode cable, 12-electrocardio acquisition front end, 21-finger grip probe, 22-pulse acquisition front end, 31-microcontroller, 32-raspberry group 4B, 61-lower splint, 62-upper splint, 63-compression spring, 64-sliding plate, 65-rotating rod, 66-support plate, 67-protection pad, 68-auxiliary block, 69-clamping rod, 71-adjustment rod, 72-stabilization spring, 81-infrared sensor, 111-second pre-amplifier circuit, 112-analog right leg driver 113-second filter circuit, 114-second ADC circuit, 115-second controller, 116-second output port, 117-second timer, 221-LED drive circuit, 222-first pre-amplifier circuit, 223-first filter circuit, 224-first ADC circuit, 225-first controller, 226-first output port, 227-first timer, 311-heart rate calculator, 312-blood oxygen saturation calculator, 3111-acquisition unit, 3112-differential unit, 3113-absolute unit, 3114-search unit, 3115-positioning unit, 3116-heart rate calculation unit, 3121-acquisition unit, 3122-inversion unit, 3123-normalization unit, 3124-average unit, 3125-blood oxygen saturation calculation unit.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
Referring to fig. 1 to 7, the present invention provides a physiological parameter monitoring system based on raspberry group, comprising:
the electrocardiograph acquisition module 1, the pulse acquisition module 2, the control circuit 3 and the display module 4, wherein the electrocardiograph acquisition module 1 and the pulse acquisition module 2 are respectively connected with the control circuit 3, and the display module 4 is connected with the control circuit 3;
the electrocardio acquisition module 1 is used for acquiring electrocardio signals and filtering to obtain the electrocardio signals;
the pulse acquisition module 2 is used for acquiring pulse wave signals and filtering to obtain pulse signals;
the control circuit 3 is used for acquiring an electrocardiosignal and calculating a heart rate, and also used for acquiring a pulse signal and calculating blood oxygen saturation;
the display module 4 is configured to display the heart rate and the blood oxygen saturation.
In this embodiment, the system is carried on a user, and then the electrocardiograph signal on the user is collected through the electrocardiograph collection module 1, where an ECG sensor can be used to collect the electrocardiograph signal, then the pulse collection module 2 can be used to collect the pulse wave signal on the user, so as to obtain the pulse signal, the control circuit 3 can be composed of a megaly innovative GD32 MCU and a raspberry group 4B32, the heart rate and the blood oxygen saturation can be obtained based on the two signals by using the control circuit 3, and then the collected original signals such as the pulse and the electrocardiograph can be received and displayed on an upper computer platform by using the display module 4, and the part is functionally designed and realized at a PC end, so that software writing is performed, real-time monitoring and recording of the change of physiological information data of the user in a daily life state are realized, and the aim of queuing for long-time continuous monitoring is achieved, meanwhile, people can avoid queuing in a big hospital, normal life, work and study are not affected, and the accuracy of diagnosing the doctor of the doctor and the patient himself can be improved. The multi-physiological-parameter system of the system can monitor people of all ages in real time, improve the living health level and quality of people, become medical monitoring which is effective for a long time and has lower cost, and solve the problem that the existing instrument has single function and can not meet the actual needs.
Further, the pulse collecting module 2 includes a finger clip probe 21 and a pulse collecting front end 22, the pulse collecting front end 22 includes an LED driving circuit 221, a first pre-amplifying circuit 222, a first filtering circuit 223, a first ADC circuit 224, a first controller 225, a first output port 226 and a first timer 227, the LED driving circuit 221 and the first pre-amplifying circuit 222 are respectively connected with the finger clip probe 21, the first filtering circuit 223 is connected with the first pre-amplifying circuit 222, the first ADC circuit 224 is connected with the first filtering circuit 223, the first controller 225 is connected with the first ADC circuit 224, one end of the first output port 226 is connected with the first controller 225, the other end of the first output port 226 is connected with the control circuit 3, and the first timer 227 is connected with the first controller 225.
In this embodiment, the light-transmitting finger-stall photoelectric sensor is responsible for collecting pulse wave (PPG) signals, the LED driving circuit 221 drives the light emitting diode in the finger-clip probe 21, the first preamplifier circuit 222 amplifies the obtained photoelectric signals, the first filter circuit 223 filters the photoelectric signals, the first ADC circuit 224 performs analog-to-digital conversion to obtain digital signals, the first controller 225 controls the first preamplifier, the filter and the analog-to-digital converter to amplify, filter and perform analog-to-digital conversion on the collected electrocardiograph signals, and is responsible for synchronous receiving and transmitting of signals, the signals are processed by the first controller 225 and then output to the control circuit 3 through the first output port 226 for calculation, and the first output port 226 may be an SPI port.
Further, the electrocardiograph acquisition module 1 includes a three-electrode cable 11 and an electrocardiograph acquisition front end 12, the electrocardiograph acquisition front end 12 includes a second pre-amplifying circuit 111, an analog right leg driver 112, a second filter circuit 113, a second ADC circuit 114, a second controller 115, a second output port 116 and a second timer 117, the analog right leg driver 112 and the second pre-amplifying circuit 111 are respectively connected with the three-electrode cable 11, the second filter circuit 113 is connected with the second pre-amplifying circuit 111, the second ADC circuit 114 is connected with the second filter circuit 113, the second controller 115 is connected with the second ADC circuit 114, one end of the second output port 116 is connected with the second controller 115, the other end of the second output port 116 is connected with the control circuit 3, and the second timer 117 is connected with the second pre-amplifying circuit 111, the second filter circuit 113, the second ADC circuit 114 and the second controller 115.
In this embodiment, the sensor of the three-electrode cable 11 is responsible for acquiring an electrocardiosignal, wherein two signals are amplified by the second preamplifier circuit 111 and filtered by the second filter circuit 113, and converted into digital signals by the second ADC circuit 114, the second controller 115 controls the preamplifier, the filter and the analog-to-digital converter to amplify, filter and analog-to-digital convert the acquired PPG signal, and is responsible for synchronous receiving and transmitting of the signal, after being processed by the second controller 115, the original electrocardiosignal data can be output to the control circuit 3 through the second output port 116 for calculation, and the timer is used for timing and keeping synchronous the second preamplifier circuit 111, the second filter circuit 113, the second ADC circuit 114 and the second controller 115, and the second output port 116 can be an SPI port.
Further, the raspberry group-based physiological parameter monitoring system further comprises a control console 5, wherein the control console 5 is connected with the control circuit 3; the console 5 is used to acquire the heart rate and the blood oxygen saturation and store and playback.
In this embodiment, the console 5 may be connected to the control circuit 3 in a wireless or wired manner, so that the heart rate and the blood oxygen saturation may be obtained, so that the heart rate and the blood oxygen saturation may be maintained at the console 5, the reliability of data storage may be improved, remote diagnosis may be performed, and playback may also be performed at any time through the control circuit 3, so that viewing is more convenient.
Further, the control circuit 3 includes a microcontroller 31 and a raspberry group 4B32, the microcontroller 31 is connected with the electrocardiograph acquisition module 1 and the pulse acquisition module 2, and the raspberry group 4B32 is connected with the microcontroller 31;
the microcontroller 31 is configured to calculate the electrocardiograph signal and the pulse signal, and obtain a heart rate and a blood oxygen saturation level respectively;
the raspberry group 4B32 is used for acquiring heart rate and blood oxygen saturation and outputting to the display module 4.
In this embodiment, the model of the microcontroller 31 may be a megaphone GD32E103CBT6MCU, the heart rate and the blood oxygen saturation may be calculated by inputting the original electrocardio signal and pulse signal into the microcontroller 31 and writing in an algorithm, and then the calculated value is uploaded to the raspberry group 4B32 through a UART serial port, the raspberry group 4B32 is a microcomputer system, the SD/MicroSD card is used as a memory hard disk, 1/2/4 USB interfaces and a 10/100 ethernet interface (a type a has no network port) are provided around the card motherboard, the keyboard, the mouse and the network cable may be connected, and the television output interface and the HDMI video output interface having video analog signals are all integrated on one motherboard only slightly larger than the credit card, and the functions such as electronic form, word processing, game playing, high-definition video playing, etc. may be performed by only connecting the display and the keyboard with the basic functions of all PCs, so that the signals may be transmitted to the display module 4 and the display module 4 may be driven.
Further, the microcontroller 31 includes a heart rate calculator 311 and a blood oxygen saturation calculator 312;
the heart rate calculator 311 is configured to calculate a heart rate based on the electrocardiograph signal;
the blood oxygen saturation calculator 312 is configured to calculate blood oxygen saturation based on the pulse signal.
The heart rate calculator 311 includes an acquisition unit 3111, a difference unit 3112, an absolute value unit 3113, a search unit 3114, a positioning unit 3115, and a heart rate calculation unit 3116, the acquisition unit 3111, the difference unit 3112, the absolute value unit 3113, the search unit 3114, the positioning unit 3115, and the heart rate calculation unit 3116 are connected in order;
the acquiring unit 3111 is configured to continuously acquire electrocardiographic signals;
the difference unit 3112 is configured to calculate first order difference;
the absolute value unit 3113 is configured to calculate an absolute value of the first-order differential electrocardiosignal;
the searching unit 3114 is configured to search waveform peak points;
the positioning unit 3115 is configured to position R waves;
the heart rate calculation unit 3116 is configured to calculate a heart rate.
In this embodiment, each QRS wave on the electrocardiogram represents a heart beat, and the number of times of QRS wave generation in the electrocardiogram within one minute, that is, the heart rate, is calculated through an algorithm. The invention adopts a differential threshold algorithm and uses electrocardiosignals to calculate heart rate. The algorithm is a method for monitoring QRS complex detection, and the algorithm utilizes that the rising slope and the falling slope of an R waveform are more obvious than the slope changes of other waveforms, firstly, the preprocessed electrocardiosignals are continuously acquired through the acquisition unit 3111, then the first-order difference is calculated, the absolute value is taken, the peak point of the waveform is searched, the R wave is positioned, finally, the heart rate is calculated, whether the sensor of the acquisition module continuously acquires physiological signals is continuously monitored, and if the physiological signals are not acquired, the calculation is ended.
Further, the blood oxygen saturation calculator 312 includes an acquisition unit 3121, an inversion unit 3122, a normalization unit 3123, a mean unit 3124, and a blood oxygen saturation calculation unit 3125, where the acquisition unit 3121, the inversion unit 3122, the normalization unit 3123, the mean unit 3124, and the blood oxygen saturation calculation unit 3125 are sequentially connected;
the collecting unit 3121 is configured to collect a red light PPG signal and an infrared light PPG signal;
the inversion unit 3122 is configured to remove a direct current signal in the red PPG signal and the infrared PPG signal and invert the signals;
the normalizing unit 3123 is configured to obtain peak-to-valley values in the red PPG signal and the infrared PPG signal, and normalize the peak-to-valley values;
the average unit 3124 is configured to take the average value of the red PPG signal and the infrared PPG signal, and obtain a red average value and an infrared average value;
the blood oxygen saturation calculating unit 3125 is configured to calculate blood oxygen saturation based on the red light average and the infrared light average.
In this embodiment, the finger-stall photoelectric sensor emits 660nm red light and 940nm infrared light, at this time, the measured PPG signals are two kinds, namely, a red PPG signal and an infrared light PPG signal, according to the theory lambert-beer law of spectroscopy, the calculation of the blood oxygen saturation can be realized by using the red light and the infrared light PPG signals, the red light PPG signal and the infrared light PPG signal are collected through the collecting unit 3121, then the direct current signals are respectively removed and inverted, then the peak and trough values of each PPG are obtained, the peak and trough values are normalized, and then the normalized mean value is calculated, wherein the red mean value is red_average; the average value of the infrared light is ir_average, and the calculation formula is as follows:
R＝red_average/ir_average
SPO 2 ＝-45.060*R*R/10000+30.354
where R is the calculated ratio, SPO 2 Is the blood oxygen saturation.
In a second aspect, referring to fig. 8 to 10, the present invention provides a finger-clip probe, including a support assembly 6, an adjusting assembly 7 and a measuring assembly 8, where the support assembly 6 includes a lower plate 61, an upper plate 62, a compression spring 63, a sliding plate 64, a rotating rod 65 and a supporting plate 66, the supporting plate 66 is fixedly connected with the lower plate 61 and is located at one side of the lower plate 61, the sliding plate 64 is slidably connected with the supporting plate 66 and is located at one side of the supporting plate 66, the rotating rod 65 is rotatably connected with the sliding plate 64 and is located at one side of the sliding plate 64, the upper plate 62 is fixedly connected with the rotating rod 65 and is located at one side of the lower plate 61, the compression spring 63 is disposed above the upper plate 62, and the upper plate 62 and the lower plate 61 clamp the finger of a tester under the action of the compression spring 63; the adjusting assembly 7 comprises an adjusting rod 71 and a stabilizing spring 72, the adjusting rod 71 is in threaded connection with the sliding plate 64 and is in rotary connection with the lower clamping plate 61, the stabilizing spring 72 is arranged between the sliding plate 64 and the lower clamping plate 61, the measuring assembly 8 comprises two infrared sensors 81, and the two infrared sensors 81 are respectively arranged on the upper clamping plate 62 and the lower clamping plate 61.
In this embodiment, the upper clamping plate 62 and the lower clamping plate 61 clamp the fingers of the tester under the action of the compression spring 63, and in consideration of the difference of the thickness of the fingers of each person, if the clamping is unsuitable, the measurement accuracy is reduced, the adjusting rod 71 can be rotated during the test to enable the sliding plate 64 to move up and down, so as to drive the upper clamping plate 62, the rotating rod 65 and the compression spring 63 to move to adjust the compression force on the fingers, thereby being convenient for different people to use, and then the two infrared sensors 81 collect the blood flow signals of the human body, so that the information such as pulse can be obtained through calculation, and the test is more accurate.
Further, the support assembly 6 further includes two protection pads 67, an auxiliary block 68, and a clamping rod 69, the two protection pads 67 are respectively disposed on the upper clamping plate 62 and the lower clamping plate 61, the auxiliary block 68 is fixedly connected with the rotating rod 65 and is located at one side of the sliding plate 64, and the clamping rod 69 is in threaded connection with the sliding plate 64 and contacts with the auxiliary block 68.
In this embodiment, the protection pad 67 is made of a flexible material, such as foam, so that the finger of the patient can be protected by the protection pad 67, discomfort is avoided, then after clamping, in order to avoid shaking the finger of the patient, after the upper clamping plate 62 rotates and clamps, the auxiliary block 68 is clamped by rotating the clamping rod 69 under the action of friction force, so that the upper clamping plate 62 is relatively fixed, and the test is more stable.
The working principle and the using flow of the invention are as follows: referring to fig. 1 and 2, after the system is installed, the system is carried on a user, then the electrocardiographic signals on the user are collected through the electrocardiographic collecting module 1, an ECG sensor can be adopted to collect electrocardiographic signals, then the pulse collecting module 2 can be used for collecting pulse wave signals on the user, so that pulse signals can be obtained, the control circuit 3 can be composed of a megaly innovative GD32 MCU and a raspberry 4B32, heart rate and blood oxygen saturation can be obtained based on the two signals by using the control circuit 3, and then the collected original signals such as pulse and electrocardiograph can be received and displayed on an upper computer platform by using the display module 4, the part is subjected to functional design and realization at a PC end, software writing is performed, real-time monitoring and recording of the change of physiological information data of the user in a daily life state are realized, the aim of long-time continuous monitoring is achieved, meanwhile, people can avoid queuing in a major hospital, life, work, learning and normal doctor's own health condition can be not influenced, and the patient's condition can be accurately diagnosed by the doctor. The multi-physiological-parameter system of the system can monitor the population of each age group in real time, improve the living health level and quality of the population, and become the medical monitoring with long-term effectiveness and lower cost.
The above disclosure is only a preferred embodiment of the present invention, and it should be understood that the scope of the invention is not limited thereto, and those skilled in the art will appreciate that all or part of the procedures described above can be performed according to the equivalent changes of the claims, and still fall within the scope of the present invention.
Claims (7)
1. A physiological parameter monitoring system based on raspberry group is characterized in that,
the device comprises an electrocardio acquisition module, a pulse acquisition module, a control circuit and a display module, wherein the electrocardio acquisition module and the pulse acquisition module are respectively connected with the control circuit, and the display module is connected with the control circuit;
the electrocardio acquisition module is used for acquiring electrocardio signals and filtering to obtain the electrocardio signals;
the pulse acquisition module is used for acquiring pulse wave signals and filtering the pulse wave signals to obtain pulse signals;
the control circuit is used for acquiring an electrocardiosignal, calculating the heart rate, acquiring a pulse signal and calculating the blood oxygen saturation;
the display module is used for displaying the heart rate and the blood oxygen saturation;
the pulse acquisition module comprises a finger clip probe and a pulse acquisition front end, wherein the pulse acquisition front end comprises an LED driving circuit, a first pre-amplifying circuit, a first filter circuit, a first ADC circuit, a first controller, a first output port and a first timer, the LED driving circuit and the first pre-amplifying circuit are respectively connected with the finger clip probe, the first filter circuit is connected with the first pre-amplifying circuit, the first ADC circuit is connected with the first filter circuit, the first controller is connected with the first ADC circuit, one end of the first output port is connected with the first controller, the other end of the first output port is connected with the control circuit, and the first timer is connected with the first controller;
the finger clip probe comprises a supporting component, an adjusting component and a measuring component, wherein the supporting component comprises a lower clamping plate, an upper clamping plate, a compression spring, a sliding plate, a rotating rod and a supporting plate, the supporting plate is fixedly connected with the lower clamping plate and is positioned on one side of the lower clamping plate, the sliding plate is in sliding connection with the supporting plate and is positioned on one side of the supporting plate, the rotating rod is rotationally connected with the sliding plate and is positioned on one side of the sliding plate, the upper clamping plate is fixedly connected with the rotating rod and is positioned on one side of the lower clamping plate, the compression spring is arranged above the upper clamping plate, and the upper clamping plate and the lower clamping plate clamp fingers of a tester under the action of the compression spring; the adjusting assembly comprises an adjusting rod and a stabilizing spring, the adjusting rod is in threaded connection with the sliding plate and is in rotary connection with the lower clamping plate, the stabilizing spring is arranged between the sliding plate and the lower clamping plate, the measuring assembly comprises two infrared sensors, and the two infrared sensors are respectively arranged on the upper clamping plate and the lower clamping plate;
the support assembly further comprises two protection pads, an auxiliary block and a clamping rod, wherein the two protection pads are respectively arranged on the upper clamping plate and the lower clamping plate, the auxiliary block is fixedly connected with the rotating rod and is positioned on one side of the sliding plate, and the clamping rod is in threaded connection with the sliding plate and contacts with the auxiliary block.
2. A raspberry group-based physiological parameter monitoring system as claimed in claim 1,
the electrocardio acquisition module comprises a three-electrode cable and an electrocardio acquisition front end, the electrocardio acquisition front end comprises a second pre-amplifying circuit, an analog right leg driver, a second filter circuit, a second ADC circuit, a second controller, a second output port and a second timer, the analog right leg driver and the second pre-amplifying circuit are respectively connected with the three-electrode cable, the second filter circuit is connected with the second pre-amplifying circuit, the second ADC circuit is connected with the second filter circuit, the second controller is connected with the second ADC circuit, one end of the second output port is connected with the second controller, the other end of the second output port is connected with the control circuit, and the second timer is connected with the second pre-amplifying circuit, the second filter circuit, the second ADC circuit and the second controller.
3. A raspberry group-based physiological parameter monitoring system as claimed in claim 1,
the physiological parameter monitoring system based on raspberry pie also comprises a control console, wherein the control console is in wireless connection with the control circuit; the console is used to acquire the heart rate and the blood oxygen saturation and store and playback.
4. A raspberry group-based physiological parameter monitoring system as claimed in claim 1,
the control circuit comprises a microcontroller and a raspberry group 4B, wherein the microcontroller is connected with the electrocardio acquisition module and the pulse acquisition module, and the raspberry group 4B is connected with the microcontroller;
the microcontroller is used for calculating the electrocardiosignal and the pulse signal and respectively acquiring heart rate and blood oxygen saturation;
the raspberry group 4B is used for acquiring heart rate and blood oxygen saturation and outputting the heart rate and blood oxygen saturation to the display module.
5. A raspberry group-based physiological parameter monitoring system as claimed in claim 4,
the microcontroller comprises a heart rate calculator and an oxygen saturation calculator;
the heart rate calculator is used for calculating the heart rate based on the electrocardiosignal;
the blood oxygen saturation calculator is used for calculating blood oxygen saturation based on the pulse signal.
6. A raspberry group-based physiological parameter monitoring system as claimed in claim 5,
the heart rate calculator comprises an acquisition unit, a differential unit, an absolute value unit, a search unit, a positioning unit and a heart rate calculation unit, wherein the acquisition unit, the differential unit, the absolute value unit, the search unit, the positioning unit and the heart rate calculation unit are sequentially connected;
the acquisition unit is used for continuously acquiring electrocardiosignals;
the difference unit is used for calculating a first-order difference;
the absolute value unit is used for calculating the absolute value of the electrocardiosignal after the first-order difference;
the searching unit is used for searching waveform peak points;
the positioning unit is used for positioning R waves;
the heart rate calculation unit is used for calculating the heart rate.
7. A raspberry group-based physiological parameter monitoring system as claimed in claim 5,
the blood oxygen saturation calculator comprises an acquisition unit, an inversion unit, a normalization unit, a mean value unit and a blood oxygen saturation calculation unit, wherein the acquisition unit, the inversion unit, the normalization unit, the mean value unit and the blood oxygen saturation calculation unit are sequentially connected;
the acquisition unit is used for acquiring a red light PPG signal and an infrared light PPG signal;
the inversion unit is used for removing direct current signals in the red light PPG signal and the infrared light PPG signal and inverting the signals;
the normalization unit is used for obtaining and normalizing peak and trough values in the red light PPG signal and the infrared light PPG signal;
the average value unit is used for taking the average value of the red light PPG signal and the infrared light PPG signal to obtain a red light average value and an infrared light average value;
the blood oxygen saturation calculating unit is used for calculating the blood oxygen saturation based on the red light average value and the infrared light average value.
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Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004187885A (en) * | 2002-12-10 | 2004-07-08 | Colin Medical Technology Corp | Arteriosclerosis evaluation device |
| DE202005015146U1 (en) * | 2005-09-26 | 2006-02-09 | Health & Life Co., Ltd., Chung-Ho | Stable pressure relief device for an electronic blood pressure measuring instrument has connecting element with a seal exhibiting a pump and an impulse sensor |
| CN2766772Y (en) * | 2005-01-14 | 2006-03-29 | 孙汉钧 | Human body health information monitoring sensor and apparatus thereof |
| EP2218392A1 (en) * | 2009-02-16 | 2010-08-18 | Roche Diagnostics GmbH | Piercing system |
| JP2010264112A (en) * | 2009-05-15 | 2010-11-25 | Konica Minolta Sensing Inc | Biological information measuring probe |
| CN202714854U (en) * | 2012-08-02 | 2013-02-06 | 深圳市邦健电子有限公司 | Photoelectric detection circuit, blood oxygen probe and monitor |
| CN103082999A (en) * | 2013-01-14 | 2013-05-08 | 中民康明通信科技（北京）有限公司 | Human health remote mobile communication monitoring system |
| CN103263271A (en) * | 2013-05-27 | 2013-08-28 | 天津点康科技有限公司 | Non-contact automatic blood oxygen saturation degree measurement system and measurement method |
| CN103549942A (en) * | 2013-10-31 | 2014-02-05 | 广州视源电子科技股份有限公司 | Method for recognizing pulse rate and blood oxygen saturation degree through optical signal |
| CN103793690A (en) * | 2014-01-27 | 2014-05-14 | 天津科技大学 | Human body biotic living body detection method based on subcutaneous bloodstream detection and application |
| CN204600497U (en) * | 2015-04-29 | 2015-09-02 | 南通大学附属医院 | A kind of arterial blood drawing pin |
| CN204971306U (en) * | 2015-07-28 | 2016-01-20 | 中国人民解放军第四军医大学 | Adjustable blood oxygen saturability detection presss from both sides |
| CN105411606A (en) * | 2016-01-08 | 2016-03-23 | 赵晓玲 | Medical blood oxygen saturation measurement system |
| CN205234511U (en) * | 2015-11-26 | 2016-05-18 | 江苏盖睿健康科技有限公司 | Blood oxygen tester |
| CN205433676U (en) * | 2015-12-24 | 2016-08-10 | 桂林电子科技大学 | Portable many physiological parameters of human body detector based on raspberry group |
| WO2016203853A1 (en) * | 2015-06-17 | 2016-12-22 | 株式会社 日立ハイテクノロジーズ | Blood collector |
| CN106510659A (en) * | 2016-10-27 | 2017-03-22 | 北京雷致科技有限公司 | Blood oxygen and heart rate measuring method, measuring device and measuring system |
| CN107095665A (en) * | 2017-06-26 | 2017-08-29 | 四川长虹电器股份有限公司 | A kind of rate calculation method based on electrocardiosignal |
| CN107440705A (en) * | 2016-05-30 | 2017-12-08 | 高鹏 | A kind of Low Power Consumption Portable electrocardiogram monitor system |
| CN109171764A (en) * | 2018-10-24 | 2019-01-11 | 重庆科技学院 | A kind of SCM Based blood oxygen detection method |
| CN110141230A (en) * | 2019-04-24 | 2019-08-20 | 陕西省人民医院 | A kind of anesthesia depth monitor and anesthesia depth monitoring method |
| CN110811571A (en) * | 2019-12-27 | 2020-02-21 | 刘学琴 | Portable traditional Chinese medicine diagnostic instrument |
| CN210383903U (en) * | 2019-06-19 | 2020-04-24 | 赵凤 | Blood oxygen saturation probe fixing device |
| CN111528813A (en) * | 2020-04-24 | 2020-08-14 | 中国人民解放军总医院第四医学中心 | Portable wrist type multi-physiological information real-time detection wireless system |
| CN211381321U (en) * | 2017-10-26 | 2020-09-01 | 赵宸彬 | Portable heart rate monitoring feedback system |
| CN211583118U (en) * | 2019-10-17 | 2020-09-29 | 河南省中医药研究院附属医院 | Novel blood pressure pulse detection that clinical medicine used device |
| CN211723183U (en) * | 2020-03-04 | 2020-10-23 | 梁涛 | Blood oxygen probe with good comfort level |
| CN111803172A (en) * | 2020-08-14 | 2020-10-23 | 上海长海医院 | Spinning formula intelligence tourniquet |
| CN212322616U (en) * | 2020-03-04 | 2021-01-08 | 青岛北方原野乐器有限公司 | Pressure-adjustable guitar tonal modification and tuning clamp |
| CN112710212A (en) * | 2020-12-21 | 2021-04-27 | 重庆江增船舶重工有限公司 | Machining and detecting method for improving detection efficiency of floating sleeve inner hole oil wedge |
| CN213155899U (en) * | 2020-08-03 | 2021-05-11 | 厦门易派电子科技有限公司 | Finger-clipped pulse oximeter |
| CN112842300A (en) * | 2021-02-04 | 2021-05-28 | 深圳市奥生科技有限公司 | Multifunctional multi-parameter physiological parameter monitor and control method |
| CN113712545A (en) * | 2021-08-24 | 2021-11-30 | 陈觉爱 | Direct insertion type long-line pulse blood oxygen probe |
| CN214965617U (en) * | 2021-03-24 | 2021-12-03 | 深圳市鑫康电子科技有限公司 | Easily-replaceable pulse oxyhemoglobin saturation probe |
-
2021
- 2021-12-14 CN CN202111526304.8A patent/CN114052682B/en active Active
Patent Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004187885A (en) * | 2002-12-10 | 2004-07-08 | Colin Medical Technology Corp | Arteriosclerosis evaluation device |
| CN2766772Y (en) * | 2005-01-14 | 2006-03-29 | 孙汉钧 | Human body health information monitoring sensor and apparatus thereof |
| DE202005015146U1 (en) * | 2005-09-26 | 2006-02-09 | Health & Life Co., Ltd., Chung-Ho | Stable pressure relief device for an electronic blood pressure measuring instrument has connecting element with a seal exhibiting a pump and an impulse sensor |
| EP2218392A1 (en) * | 2009-02-16 | 2010-08-18 | Roche Diagnostics GmbH | Piercing system |
| JP2010264112A (en) * | 2009-05-15 | 2010-11-25 | Konica Minolta Sensing Inc | Biological information measuring probe |
| CN202714854U (en) * | 2012-08-02 | 2013-02-06 | 深圳市邦健电子有限公司 | Photoelectric detection circuit, blood oxygen probe and monitor |
| CN103082999A (en) * | 2013-01-14 | 2013-05-08 | 中民康明通信科技（北京）有限公司 | Human health remote mobile communication monitoring system |
| CN103263271A (en) * | 2013-05-27 | 2013-08-28 | 天津点康科技有限公司 | Non-contact automatic blood oxygen saturation degree measurement system and measurement method |
| CN103549942A (en) * | 2013-10-31 | 2014-02-05 | 广州视源电子科技股份有限公司 | Method for recognizing pulse rate and blood oxygen saturation degree through optical signal |
| CN103793690A (en) * | 2014-01-27 | 2014-05-14 | 天津科技大学 | Human body biotic living body detection method based on subcutaneous bloodstream detection and application |
| CN204600497U (en) * | 2015-04-29 | 2015-09-02 | 南通大学附属医院 | A kind of arterial blood drawing pin |
| WO2016203853A1 (en) * | 2015-06-17 | 2016-12-22 | 株式会社 日立ハイテクノロジーズ | Blood collector |
| CN204971306U (en) * | 2015-07-28 | 2016-01-20 | 中国人民解放军第四军医大学 | Adjustable blood oxygen saturability detection presss from both sides |
| CN205234511U (en) * | 2015-11-26 | 2016-05-18 | 江苏盖睿健康科技有限公司 | Blood oxygen tester |
| CN205433676U (en) * | 2015-12-24 | 2016-08-10 | 桂林电子科技大学 | Portable many physiological parameters of human body detector based on raspberry group |
| CN105411606A (en) * | 2016-01-08 | 2016-03-23 | 赵晓玲 | Medical blood oxygen saturation measurement system |
| CN107440705A (en) * | 2016-05-30 | 2017-12-08 | 高鹏 | A kind of Low Power Consumption Portable electrocardiogram monitor system |
| CN106510659A (en) * | 2016-10-27 | 2017-03-22 | 北京雷致科技有限公司 | Blood oxygen and heart rate measuring method, measuring device and measuring system |
| CN107095665A (en) * | 2017-06-26 | 2017-08-29 | 四川长虹电器股份有限公司 | A kind of rate calculation method based on electrocardiosignal |
| CN211381321U (en) * | 2017-10-26 | 2020-09-01 | 赵宸彬 | Portable heart rate monitoring feedback system |
| CN109171764A (en) * | 2018-10-24 | 2019-01-11 | 重庆科技学院 | A kind of SCM Based blood oxygen detection method |
| CN110141230A (en) * | 2019-04-24 | 2019-08-20 | 陕西省人民医院 | A kind of anesthesia depth monitor and anesthesia depth monitoring method |
| CN210383903U (en) * | 2019-06-19 | 2020-04-24 | 赵凤 | Blood oxygen saturation probe fixing device |
| CN211583118U (en) * | 2019-10-17 | 2020-09-29 | 河南省中医药研究院附属医院 | Novel blood pressure pulse detection that clinical medicine used device |
| CN110811571A (en) * | 2019-12-27 | 2020-02-21 | 刘学琴 | Portable traditional Chinese medicine diagnostic instrument |
| CN211723183U (en) * | 2020-03-04 | 2020-10-23 | 梁涛 | Blood oxygen probe with good comfort level |
| CN212322616U (en) * | 2020-03-04 | 2021-01-08 | 青岛北方原野乐器有限公司 | Pressure-adjustable guitar tonal modification and tuning clamp |
| CN111528813A (en) * | 2020-04-24 | 2020-08-14 | 中国人民解放军总医院第四医学中心 | Portable wrist type multi-physiological information real-time detection wireless system |
| CN213155899U (en) * | 2020-08-03 | 2021-05-11 | 厦门易派电子科技有限公司 | Finger-clipped pulse oximeter |
| CN111803172A (en) * | 2020-08-14 | 2020-10-23 | 上海长海医院 | Spinning formula intelligence tourniquet |
| CN112710212A (en) * | 2020-12-21 | 2021-04-27 | 重庆江增船舶重工有限公司 | Machining and detecting method for improving detection efficiency of floating sleeve inner hole oil wedge |
| CN112842300A (en) * | 2021-02-04 | 2021-05-28 | 深圳市奥生科技有限公司 | Multifunctional multi-parameter physiological parameter monitor and control method |
| CN214965617U (en) * | 2021-03-24 | 2021-12-03 | 深圳市鑫康电子科技有限公司 | Easily-replaceable pulse oxyhemoglobin saturation probe |
| CN113712545A (en) * | 2021-08-24 | 2021-11-30 | 陈觉爱 | Direct insertion type long-line pulse blood oxygen probe |
Non-Patent Citations (6)
| Title |
|---|
| 2型糖尿病与高血压病人血脂水平的调查与分析;付晓萍，陈国荣;《实验与检验医学》(第2期);240-242 * |
| A case of type I Kounis syndrome caused by double allergens;Zhang, YX (Zhang Yi-Xuan) [1] , [2] ; Liu, L (Liu Lu) [3] ; Liu, LP (Liu Li-Ping) [1] , [2] ; Xu, H (Xu Hui) [1] , [2] ; Li, YM (Li, Yu-Mei) [1] , [2];《CHINESE MEDICAL JOURNAL 》;第133卷(第6期);735-737 * |
| Liu, L (Liu Lu) [3] ; Liu, LP (Liu Li-Ping) [1] , [2] * |
| Zhang, YX (Zhang Yi-Xuan) [1] , [2] * |
| 房磊.无创血氧饱和度测量系统的设计与实现.《CNKI》.2013,第18页. * |
| 米力农微量泵治疗顽固性心力衰竭的疗效;陈国荣, 王小勤, 蔡小东;《实用临床医学》;第14卷(第10期);30-31+33. * |
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