WO2020132899A1 - 血压脉象检测系统及其检测方法、检测装置 - Google Patents

血压脉象检测系统及其检测方法、检测装置 Download PDF

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Publication number
WO2020132899A1
WO2020132899A1 PCT/CN2018/123625 CN2018123625W WO2020132899A1 WO 2020132899 A1 WO2020132899 A1 WO 2020132899A1 CN 2018123625 W CN2018123625 W CN 2018123625W WO 2020132899 A1 WO2020132899 A1 WO 2020132899A1
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WIPO (PCT)
Prior art keywords
blood pressure
pulse
pulse detection
server
waveform
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PCT/CN2018/123625
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English (en)
French (fr)
Inventor
李铁才
罗宇
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深圳市大富网络技术有限公司
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Application filed by 深圳市大富网络技术有限公司 filed Critical 深圳市大富网络技术有限公司
Priority to PCT/CN2018/123625 priority Critical patent/WO2020132899A1/zh
Priority to CN201880088918.2A priority patent/CN111801047B/zh
Publication of WO2020132899A1 publication Critical patent/WO2020132899A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present application relates to the technical field of blood pressure and pulse detection, and relates to a blood pressure and pulse detection system, a detection method, and a detection device.
  • the inventor of the present application discovered during the long-term research and development process that although the existing pulse meter can simulate the pulse cutting process and graphically display and display the pulse wave, so that the user can intuitively recognize the pulse wave through the pulse wave, but it is not a medical personnel or It is difficult for professional medical staff to obtain health information from the pulse.
  • the present application provides a blood pressure and pulse detection system, a detection method, and a detection device.
  • the embodiments of the present application provide a blood pressure and pulse detection system.
  • the detection system includes: a blood pressure and pulse detection device, a terminal, and a server, and the terminal establishes communication with the blood pressure and pulse detection device and the server, respectively Connected, the blood pressure and pulse detection device is used to detect blood pressure and pulse detection data of the human body, and the terminal is used to receive the blood pressure and pulse detection data from the blood pressure and pulse detection device, and forward the blood pressure and pulse detection data to the A server, the server analyzes the blood pressure and pulse detection data, obtains human health information according to the analysis result, and transmits the health information back to the terminal, and the terminal displays the health information.
  • the embodiments of the present application provide a blood pressure and pulse detection method for a blood pressure and pulse detection system.
  • the blood pressure and pulse detection system includes a blood pressure and pulse detection device, a terminal, and a server.
  • the detection method includes: the blood pressure The pulse detection device detects the blood pressure and pulse detection data of the human body; the terminal establishes a communication connection with the blood pressure and pulse detection device and the server respectively, and receives the blood pressure and pulse detection data from the blood pressure and pulse detection device; the terminal will The blood pressure and pulse detection data is forwarded to the server; the server analyzes the blood pressure and pulse detection data and obtains human health information according to the analysis results; the server transmits the health information back to the terminal; The terminal displays the health information.
  • the embodiments of the present application provide a blood pressure and pulse detection device, and the blood pressure and pulse detection device is the blood pressure and pulse detection device.
  • the blood pressure and pulse detection system of the embodiment of the present application includes: a blood pressure and pulse detection device, a terminal and a server.
  • the terminal establishes a communication connection with the blood pressure and pulse detection device and the server, respectively, and the blood pressure and pulse detection device is used to detect the blood pressure and pulse of the human body Detection data, the terminal is used to receive blood pressure and pulse detection data from the blood pressure and pulse detection device, and forward the blood pressure and pulse detection data to the server, the server analyzes the blood pressure and pulse detection data, and obtains human health information based on the analysis results, and returns the health information To the terminal, the terminal displays health information.
  • the embodiment of the present application analyzes the blood pressure and pulse detection data through the server to obtain the health information of the human body, can improve the accuracy of blood pressure and pulse detection and data processing, and displays the health information and blood pressure and pulse detection data through the terminal, so that the user can understand in time Your own health status reduces the risk of disease.
  • FIG. 1 is a schematic structural diagram of an embodiment of a blood pressure and pulse detection system of the present application
  • FIG. 2 is a waveform diagram of a pulse detected by the embodiment of FIG. 1;
  • FIG. 3 is another pulse waveform diagram detected by the embodiment of FIG. 1;
  • FIG. 4 is another pulse waveform diagram detected by the embodiment of FIG. 1;
  • FIG. 5 is a schematic structural diagram of an embodiment of a blood pressure and pulse detection device of the present application.
  • FIG. 6 is a schematic flowchart of an embodiment of a blood pressure and pulse detection method according to the present application.
  • step S604 is a schematic flowchart of step S604 in the embodiment of FIG. 6;
  • FIG. 8 is a specific flowchart of step S704 in the embodiment of FIG. 7;
  • FIG. 9 is a schematic flowchart of another embodiment of the blood pressure and pulse detection method of the present application.
  • FIG. 10 is a schematic flowchart of another embodiment of the blood pressure and pulse detection method of the present application.
  • the blood pressure and pulse detection system 101 of this embodiment includes a blood pressure and pulse detection device 102, a terminal 103, and a server 104.
  • the terminal 103 and the blood pressure and pulse detection device 102 and the server 104 respectively Establish a communication connection, the blood pressure and pulse detection device 102 is used to detect the blood pressure and pulse detection data of the human body, the terminal 103 is used to receive the blood pressure and pulse detection data from the blood pressure and pulse detection device 102, the terminal 103 forwards the blood pressure and pulse detection data to the server 104, the server 104 The blood pressure and pulse detection data is analyzed, and human health information is obtained according to the analysis result.
  • the server 104 transmits the health information back to the terminal 103, and the terminal 103 displays the health information.
  • the terminal 103 may include, for example, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a personal digital assistant, and a wearable device.
  • the server 104 is an intelligent computer system distributed on the network or the cloud.
  • the terminal 103 may establish a connection or a wireless connection with the blood pressure and pulse detection device 102, and the terminal 103 may establish a wireless connection with the server 104.
  • the server 104 in this embodiment analyzes the blood pressure and pulse detection data forwarded by the terminal 103 to obtain human health information.
  • the terminal 103 can display the health information returned by the server 104 and the blood pressure and pulse detection data detected by the blood pressure and pulse detection device 102.
  • Human health information often requires rich experience data and inference rules, and the server 104 can obtain abundant blood pressure and pulse detection data, and has strong data processing capabilities, so in this embodiment, the server 104 performs blood pressure and pulse detection data Analysis to obtain human health information can improve the accuracy of blood pressure and pulse detection and data processing.
  • the terminal 103 of this embodiment displays health information and blood pressure and pulse detection data, so that the user can timely understand his own health status and reduce the risk of disease.
  • the server 104 may pre-store blood pressure and pulse detection data.
  • the blood pressure and pulse detection data may include a normal blood pressure and pulse detection data range, multiple blood pressure and pulse detection data of the same human body, and blood pressure and pulse detection data of multiple human bodies.
  • the server 104 may also pre-store other physiological data and the mapping relationship between the other physiological data and the blood pressure and pulse detection data.
  • the server 104 may analyze the blood pressure and pulse detection data forwarded by the terminal 103 according to the pre-stored blood pressure and pulse detection data to obtain human body health information.
  • the server 104 may compare the blood pressure and pulse detection data of the human body A forwarded by the terminal 103 with the normal blood pressure and pulse detection data range, or compare the blood pressure and pulse detection data of the human A forwarded by the terminal 103 with the previous blood pressure and pulse detection of the human body A The data is compared, or the blood pressure and pulse detection data of the human body A and the blood pressure and pulse detection data of the human body B forwarded by the terminal 103 are compared to obtain the health information of the human body A according to the comparison result.
  • the blood pressure and pulse detection data includes a pulse wave, which is generated by the movement of the heart and pushing the blood along the tube, which is a periodic pressure wave.
  • the pulse wave of the human body contains rich physiological information, such as blood pressure, heart rate and cardiovascular information. Through the analysis of the pulse waveform, cardiovascular health information can be obtained to reduce the occurrence of cardiovascular diseases.
  • the server 104 needs to perform filtering processing on the multiple pulse waves to remove interference noise.
  • the server 104 obtains the amplitude of the pulse wave, and determines whether the amplitude is within the preset amplitude range. If so, the server 104 determines that the pulse wave with the amplitude within the preset range is the first pulse wave, and filters Pulse waves other than the first pulse wave. Further, the server 104 may acquire the amplitude of the characteristic point of the first pulse wave, and the characteristic point may include a reflected wave point, a peak point, a trough point, or other extreme point or inflection point of the first pulse wave.
  • the server may also obtain the period of the pulse wave, and filter out the pulse wave whose period is not within the preset period to obtain the first pulse wave, that is, use the period as the filtering condition.
  • the amplitude and period of the pulse wave can also be used as the filtering conditions at the same time.
  • the server 104 of this embodiment further performs pulse pattern (waveform) recognition on the first pulse wave.
  • the server 104 of this embodiment stores a preset waveform, and the preset waveform includes at least a Hua mai waveform, a pulse stimulating waveform, a Xuan mai waveform, or a Ping mai waveform.
  • the server 104 matches the first pulse wave with the preset waveform; the server 104 further obtains the preset waveform matching the first pulse wave as the first preset waveform, And get health information according to the first preset wave.
  • the server 104 determines that the first pulse wave forwarded by the terminal 103 matches the preset Hua mai waveform, and then determines that the first pulse wave is Hua mai; the server 104 may further combine the first pulse wave or the first preset waveform with the health The information "Huamai" is transmitted back to the terminal 104.
  • the server 104 separately obtains the first feature information of the first pulse wave and the second feature information of the preset waveform, and if the difference between the first feature information and the second feature information is less than the preset difference, then The server 104 determines that the first pulse wave matches the preset waveform.
  • the feature information of this embodiment may include the waveform period and the stagnation point (including extreme point and inflection point) information of the first pulse wave.
  • the waveform stagnation point information includes the number of waveform stagnation points and the time interval between adjacent waveform stagnation points. As shown in FIG. 2, the waveform period of the pulse-promoting pulse differs greatly from the waveform periods of other pulses.
  • the server 104 determines that the difference between the waveform period of the first pulse wave and the preset pulse waveform is less than the preset difference Value, it can be determined that the first pulse wave is the pulse boost; if the server 104 determines that the difference is greater than the preset difference value, it is further determined whether the number of waveform extreme points of the third pulse wave is 2 (the default slip The number of extreme points of the waveform of the pulse is 2), and it is judged whether the amplitude of the stagnation point of the second waveform is larger and lower than the position of the stagnation point of the first waveform.
  • the server 104 determines that the number of waveform extreme points of the third pulse wave is equal to 3, it can further determine whether the interval between the first waveform stagnation point and the second waveform stagnation point of the third pulse wave is less than the preset Time (the preset time interval between the stagnation point of the first waveform and the stagnation point of the second waveform), if so, it can be determined that the first pulse wave is a sine pulse, and so on.
  • the pulse image (waveform) of the pulse wave can be recognized by the waveform period of the pulse wave and the waveform stagnation point information.
  • the pulse image (waveform) of the pulse wave can also be identified according to other characteristic information of the pulse wave.
  • the server can filter the acquired stagnation points of the waveform before performing pulse recognition to reduce noise interference.
  • Pulse diagnosis is one of the four diagnoses of traditional Chinese medicine diagnosis, and it is a unique diagnosis method. It mainly uses the sensation of fingers to analyze the "position, number, shape, potential" and other characteristics of the pulse, so as to judge the functional state of the organs, so as to achieve the purpose of non-invasive diagnosis, and has a positive significance for the diagnosis and treatment of diseases.
  • the existing pulse meter can understand the pulse cutting process and graphically display and display the pulse wave, so that the user can intuitively understand the pulse wave through the pulse wave, but obtaining health information from the pulse wave requires rich clinical experience. Therefore, non-medical personnel or It is difficult for non-professional medical staff to get accurate health information from the pulse waveform.
  • the server 104 of this embodiment further analyzes the first pulse wave to obtain more specific human health information from the first pulse wave.
  • the health information of this embodiment includes blood pressure in addition to pulse information , Pulse strength, pulse rate, pulse rhythm, and reflected wave enhancement index (AI) reflecting arterial elasticity.
  • the server 104 obtains several pulse waves with the largest pulse wave amplitude in the entire measurement process, such as 3 pulse waves, and obtains the pulse strength of the human body by taking the average value according to the amplitude of the peak point.
  • the server 104 returns the acquired health information to the terminal 102, and the terminal 102 displays the health information, as shown in FIGS. 3 and 4.
  • the server 104 stores a preset range to determine whether the health information is within the preset range; if it is, the health information display status on the control terminal 103 is normal; if not, the health information display status on the terminal display 103 Is abnormal.
  • the server 104 may also return the first pulse wave or the pulse waveform corresponding to the first pulse wave, the type of the first pulse wave, blood pressure data, etc. to the terminal 103, and the terminal 103 displays the pulse waveform and type, blood pressure data.
  • the server 104 of this embodiment further obtains the health information of the human blood vessel elasticity according to the reflected wave point and the peak point. For example, if the server 104 determines that the reflected wave point is on the right side of the peak point (as shown in FIG. 3), The obtained health information is that the blood vessel elasticity is good. If the server 104 determines that the reflected wave point is on the left side of the peak point (as shown in FIG. 4), the obtained health information is poor in blood vessel elasticity; the server 104 can also obtain the heart rate data Health information such as bradycardia or tachycardia, irregular heart rate, etc.; the server 104 can also obtain arterial health information according to the AI value, and so on. The terminal 103 may also display these health information.
  • the blood pressure and pulse detection data is analyzed by the server 104 in this embodiment to obtain human health information, which can improve the accuracy of blood pressure and pulse detection and data processing; and the terminal 103 of this embodiment can display details Health information, not just pulse waves, allows non-medical personnel to clearly understand their own health status through the health information.
  • the present application further proposes a blood pressure and pulse detection device.
  • the blood pressure and pulse detection device of the present application is the blood pressure and pulse detection device 102 in the above embodiment.
  • the blood pressure and pulse detection device 102 includes a host 11 and a cuff 12, wherein the host 11 An interface 110 is provided, which is used to establish a connection with the terminal 103.
  • the terminal 103 is used to provide the first voltage to the blood pressure and pulse detection device 102, that is, the terminal 103 supplies power to the host 11 of the blood pressure and pulse detection device 102 through the interface 110.
  • the interface 110 may be a USB interface, and the interface 110 may be connected to the terminal 20 through the data line 21.
  • the data line 21 can be an OTG data line.
  • the cuff 12 can be worn on the arm of the human body and contact with the arteries of the human body.
  • the host 11 detects the blood pressure and pulse detection data of the arteries of the human body through the cuff 12.
  • the host 11 detects the blood pressure and pulse detection data of the human artery through the cuff 12 according to the detection instruction, and sends the blood pressure and pulse detection data to the terminal 103 through the interface 110.
  • the blood pressure and pulse detection device 102 of the present application can perform data communication with the terminal 103 through the interface 110 to realize the networking function and improve the user experience.
  • the cuff 12 of this embodiment may include a gas channel 121 and an airbag bag 122, and the gas channel 121 and the airway interface of the airbag bag 122 are connected.
  • the host 11 of this embodiment may include a controller 111, a pressure sensor 112, an air pump 113, a bleed valve 114, an air pump drive circuit 115, a bleed valve drive circuit 116, a digital-to-analog conversion circuit 117, and a converter 118; a pressure sensor 112.
  • the air pump 113 and the vent valve 114 are respectively coupled to the controller 111.
  • the controller 111 is used to control the air pump 113 to inflate the airbag bag 122, the air vent valve 114 to deflate the airbag bag 122, and the pressure sensor 112 to control the gas channel.
  • the pressure of the gas in 121 is detected.
  • the gas channel 121 may extend to the host 11, and the gas channel 121 may be connected to the pressure sensor 112, the air pump 113, and the bleed valve 114, respectively.
  • the air pump driving circuit 115 is connected between the air pump 113 and the controller 111 for driving the air pump 113, that is, the controller 111 drives the air pump 113 through the air pump driving circuit 115 to fill the airbag bag 122 with gas.
  • the vent valve drive circuit 116 is connected between the vent valve 114 and the controller 111 for driving the vent valve 114, that is, the controller 111 drives the vent valve 114 through the vent valve drive circuit 116 to deflate the airbag bag 122 gas.
  • the host 11 is provided with a cuff interface, the gas channel 121 of the cuff 12 is detachably connected to the cuff interface, and the gas channel 100 is respectively connected to the pressure sensor 112, the air pump 113, and the vent valve 114 through the cuff interface.
  • the digital-to-analog conversion circuit 117 is connected between the pressure sensor 112 and the controller 111; when the pressure sensor 112 detects the pressure of the gas in the gas channel 121, the pressure sensor 112 is used to convert the pressure of the gas into an analog signal and convert the analog signal It is transmitted to the digital-analog conversion circuit 117; the digital-analog conversion circuit 117 converts the analog signal into a digital signal and sends the digital signal to the controller 111.
  • the interface 110 may include a power supply terminal, which is connected to the air pump drive circuit 115 and the bleed valve drive circuit 116 respectively, for providing the first voltage V1 to the air pump drive circuit 115 and the bleed valve drive circuit 116.
  • the input terminal of the converter 118 is connected to the power supply terminal for converting the first voltage V1 to the second voltage V2; the output terminal of the converter 118 is connected to the controller 111, the pressure sensor 112 and the digital-to-analog conversion circuit 117, respectively, for The controller 111, the pressure sensor 112, and the digital-to-analog conversion circuit 117 are supplied with a second voltage V2, where the second voltage V2 is less than the first voltage V1.
  • the interface 110 further includes a data transmission terminal.
  • the terminal 103 sends a detection instruction to the controller 111 through the data transmission terminal.
  • the blood pressure and pulse detection device 102 detects blood pressure and pulse detection data according to the detection instruction. For specific detection methods, see the following method examples.
  • the airbag bag may include reserved gas.
  • the controller performs pressure detection on the reserved gas through the pressure sensor, and judges whether to start blood pressure and pulse detection according to the pressure detection result; if so, the blood pressure and pulse detection device performs blood pressure and pulse detection. In this way, it is possible to automatically start blood pressure and pulse detection to improve the user's experience.
  • the controller further obtains the pressure detection result and the pressure change amplitude of the second pressure threshold, and when the controller determines that the pressure change amplitude is greater than the preset change amplitude threshold, the controller starts blood pressure and pulse detection. When the controller determines that the pressure change amplitude is less than the preset change amplitude threshold, the controller controls the blood pressure and pulse detection device to enter a sleep state to save power consumption.
  • the blood pressure and pulse detection device uses a closed-loop control to adjust the inflation rate of the gas.
  • the controller controls the air pump to inflate the air bag, and the controller collects the gas through the pressure sensor.
  • the pressure is the first pressure
  • the pressure previously collected by the controller through the pressure sensor is the second pressure; the controller obtains the static pressure of the cuff according to the first pressure and the second pressure.
  • the controller further obtains the compression rate of the gas in the airbag according to the static pressure, and compares the compression rate with the constant rate; when the controller determines that the compression rate is less than the constant rate, the controller controls the speed of the air pump to increase; When the controller determines that the acceleration rate is greater than the constant rate, the controller controls the rotation speed of the air pump to decrease so that the pressurization rate is a constant rate. Therefore, the controller controls the air pump to inflate the air bag, and then controls the air pump to inflate at a constant speed through the gas channel, so as to ensure the accuracy of the pulse wave obtained by the controller.
  • the present application further proposes a blood pressure and pulse detection method, which can be used in the above blood pressure and pulse detection system 101.
  • the blood pressure and pulse detection method in this embodiment includes the following steps:
  • Step S601 The blood pressure and pulse detection device 102 detects the blood pressure and pulse detection data of the human body.
  • the pressurization phase of the blood pressure and pulse detection device 102 includes: when the controller 111 receives the detection instruction, the air pump 113 is controlled by the air pump drive circuit 115, and the air release valve 114 is closed, and the air pump 113 inflates the airbag bag 122 through the air passage 121.
  • the pressure sensor 112 is used to collect the pressure of the gas in the gas channel 121 and send the pressure of the gas to the controller 111.
  • the controller 111 determines that the pressure of the gas exceeds a preset value, the controller 111 controls the air pump through the air pump drive circuit 115 113 stopped working.
  • the decompression phase of the blood pressure and pulse detection device 102 includes: the controller 111 drives the vent valve 114 through the vent valve drive circuit 116, and the air pump 113 stops working at this time to control the gas in the airbag bag 122 to release through the gas channel 121 at a constant rate .
  • Step S602 The terminal 103 establishes a communication connection with the blood pressure and pulse detection device 102 and the server 104, respectively, and receives blood pressure and pulse detection data from the blood pressure and pulse detection device 102.
  • the terminal 103 may establish a connection or a wireless connection with the blood pressure and pulse detection device 102, and the terminal 103 may establish a wireless connection with the server 104.
  • Step S603 The terminal 103 forwards the blood pressure and pulse detection data to the server 104.
  • the server 104 can obtain abundant blood pressure and pulse detection data, and has strong data processing capabilities. Therefore, in this embodiment, the server 104 analyzes the blood pressure and pulse detection data to obtain human health information, which can improve blood pressure and pulse detection and data processing. Accuracy.
  • Step S604 The server 104 analyzes the blood pressure and pulse detection data, and obtains human health information according to the analysis result.
  • step S604 may be implemented by the method shown in FIG. 7.
  • the method of this embodiment specifically includes the following steps:
  • Step S701 The server 104 obtains the amplitude or period of the pulse wave.
  • the server 104 may obtain the amplitude of the characteristic point of the pulse wave, and the characteristic point may include the reflected wave point, peak point, trough point, or other extreme value point or inflection point of the pulse wave.
  • Step S702 The server 104 determines whether the amplitude is within a preset amplitude range.
  • Step S703 If the amplitude is within the preset amplitude range, the server 104 determines that the pulse wave is the first pulse wave, and filters out pulse waves other than the first pulse wave.
  • the server 104 After acquiring multiple pulse waves from the terminal 103, the server 104 needs to perform filtering processing on the multiple pulse waves to remove interference noise, which can improve the accuracy of health information.
  • the server may also obtain the period of the pulse wave, and filter out the pulse wave whose period is not within the preset period to obtain the first pulse wave, that is, use the period as the filtering condition.
  • the amplitude and period of the pulse wave can also be used as filtering conditions at the same time.
  • the server 104 of this embodiment may perform pulse pattern (waveform) recognition on the first pulse wave through steps S704-S706.
  • the method of this embodiment includes the following steps:
  • Step S704 The server 104 matches the first pulse wave with the preset waveform.
  • the preset waveform at least includes Huamai waveform, pulse-promoting waveform, Xingmai waveform or Pingmai waveform.
  • step S704 may be implemented by the method as described in FIG. 8.
  • the method in this embodiment includes the following steps:
  • Step S801 The server 104 obtains the first characteristic information of the first pulse wave and the second characteristic information of the preset waveform, respectively.
  • the characteristic information of this embodiment may include the waveform period and the stagnation point (including extreme point and inflection point) information of the first pulse wave.
  • the waveform stagnation point information includes the number of waveform stagnation points and the time interval between adjacent waveform stagnation points.
  • Step S802 If the difference between the first feature information and the second feature information is less than the preset difference, the server determines that the first pulse wave matches the preset waveform.
  • the pulse image (waveform) of the pulse wave can be recognized by the waveform period of the pulse wave and the waveform stagnation point information.
  • the pulse image (waveform) of the pulse wave can also be identified according to other characteristic information of the pulse wave.
  • the specific matching method can be referred to the above embodiment.
  • Step S705 The server 104 acquires the preset waveform corresponding to the first pulse wave as the first preset waveform.
  • Step S706 The server 104 obtains health information according to the first preset waveform.
  • Step S605 The server 104 returns the health information to the terminal 103.
  • the server 104 in this embodiment may further analyze the first pulse wave to obtain more specific human health information from the first pulse wave.
  • the health information in this embodiment includes blood pressure and pulse strength in addition to pulse information , Pulse rate, pulse rhythm and dynamic elasticity of the enhancement index (AI) and other information.
  • AI enhancement index
  • Step S606 The terminal 103 displays health information.
  • the server 104 may also return the first pulse wave or the pulse waveform corresponding to the first pulse wave, the type of the first pulse wave, blood pressure data, etc. to the terminal 103, and the terminal 103 displays the pulse waveform and type, blood pressure data.
  • the blood pressure and pulse detection data is analyzed by the server 104 in this embodiment to obtain human health information, which can improve the accuracy of blood pressure and pulse detection and data processing; and the terminal 103 of this embodiment can display details Health information, not just pulse waves, allows non-medical personnel to clearly understand their own health status through the health information.
  • the present application further proposes a blood pressure and pulse detection method according to another embodiment , Used in the above blood pressure and pulse detection system. As shown in FIG. 9, the method of this embodiment includes the following steps:
  • Step S901 The controller 111 controls the air pump 113 to inflate the airbag bag 122 of the cuff 12.
  • the air pump driving circuit 115 controls the operation of the air pump 113. At this time, the vent valve 114 is closed, and the air pump 113 inflates the airbag bag 122 through the air passage 121.
  • Step S902 The controller 111 controls the pressure sensor 112 to detect the pressure of the gas channel 121, and compares the pressure with a preset first pressure threshold.
  • the controller 111 controls the pressure sensor 112 to detect the pressure of the gas in the gas channel 121, and sends the pressure of the gas to the controller 111, and the controller 111 compares the pressure with a preset first pressure threshold.
  • Step S903 If the pressure is equal to the first pressure threshold, the controller 111 controls the air pump 113 to stop inflation.
  • the controller 111 determines that the pressure of the gas exceeds the first pressure threshold, the controller 111 controls the air pump 113 to stop working through the air pump drive circuit 115.
  • Step S904 The controller 111 controls the pressure sensor to detect a plurality of pulse waves of the human body, and sends the plurality of pulse waves to the terminal 103.
  • the specific method for obtaining the pulse waveform includes: the controller 111 obtains the waveform of the pressure and time of the gaseous medium; the controller 111 extracts the minimum point of the pressure of the gaseous medium in different pulse periods and converts the waveform between the two minimum points The line connecting the two minimum points is subtracted to obtain the pulse waveform.
  • Step S905 The terminal 103 forwards multiple pulse waves to the server 104.
  • Step S906 The server 104 processes multiple pulse waves to obtain health information according to the analysis result.
  • Step S907 The server 104 transmits the health information back to the terminal 102.
  • Step S908 The terminal 102 displays health information.
  • Steps S905-S908 are similar to the above steps S603-S606, and will not be repeated here.
  • this embodiment acquires multiple pulse waves in the pressure holding stage (holding stage after boosting), which can reduce the interference of the air pump on the pulse wave during the pressurization process, and thus can improve the accuracy of blood pressure and pulse detection .
  • the present application further proposes a blood pressure and pulse detection method according to yet another embodiment. As shown in FIG. 10, the method in this embodiment includes the following steps:
  • Step S1001 The controller 111 controls the air pump 113 to inflate the airbag bag 122 of the cuff 12.
  • Step S1001 is the same as the above step S901 and will not be repeated here.
  • Step S1002 The controller 111 controls the pressure sensor 112 to detect the pressure of the airbag bag 122 to obtain the second pulse wave of the human body.
  • Step S1003 The controller 111 extracts the maximum value of the second pulse wave corresponding to each pulse cycle.
  • Step S1004 The controller 11 calculates systolic pressure and diastolic pressure as the blood pressure information of the human body according to the maximum value among the maximum values of the second pulse wave.
  • the systolic pressure is the product of the maximum value and the first coefficient
  • the diastolic pressure is the product of the maximum value and the second coefficient
  • Step S1005 The controller 111 controls the pressure sensor 112 to detect the pressure of the gas channel 121, and compares the pressure with a preset first pressure threshold.
  • Step S1006 If the pressure is equal to the first pressure threshold, the controller 111 controls the air pump 113 to stop inflation.
  • Step S1007 The controller 111 controls the pressure sensor to detect a plurality of pulse waves of the human body, and sends the plurality of pulse waves to the terminal 103.
  • Step S1008 The terminal 103 forwards multiple pulse waves to the server 104.
  • Step S1009 The server 104 processes multiple pulse waves to obtain health information according to the analysis result.
  • Step S1010 The server 104 transmits the health information back to the terminal 102.
  • Step S1011 The terminal 102 displays health information.
  • Steps S1005 and S1011 are the same as the above steps S902 and S908, and will not be repeated here.
  • this embodiment acquires the second pulse wave of the human body during the pressurization phase to obtain blood pressure data according to the second pulse wave, so as to simultaneously detect the blood pressure data and the pulse information.

Abstract

本申请公开了一种血压脉象检测系统及其检测方法、检测装置。该血压脉象检测系统包括：血压脉象检测装置、终端及服务器，终端分别与血压脉象检测装置及服务器建立通信连接，血压脉象检测装置用于采集人体的血压脉象检测数据，终端用于从血压脉象检测装置接收血压脉象检测数据，并将血压脉象检测数据转发至服务器，服务器对血压脉象检测数据进行分析，并根据分析结果获取人体健康信息，将健康信息回传给终端，终端显示健康信息。本申请实施例能够提高血压脉象检测及数据处理的准确度，且能使用户及时了解自身的健康状况，减少疾病风险。

Description

血压脉象检测系统及其检测方法、检测装置 【技术领域】
本申请涉及血压脉象检测技术领域，涉及一种血压脉象检测系统及其检测方法、检测装置。
【背景技术】
现代社会中，由于膳食结构及作息时间不合理、运动不足、抽烟饮酒等危险因素的综作用，慢性心血管疾病发率持续上升，而病患者的年龄却逐步减小，心血管疾病对人类的身体健康产生的威胁也越来越大。
本申请的发明人在长期的研发过程中发现，现有的脉象仪虽然可以做到模拟切脉过程，将脉搏波图形化并显示，使用户通过脉搏波直观的认识脉象，但非医护人员或非专业医护人很难从脉象获取健康信息。
【发明内容】
为了解决现有技术的血压计存在的上述问题，本申请提供一种血压脉象检测系统及其检测方法、检测装置。
为解决上述问题，本申请实施例提供了一种血压脉象检测系统，所述检测系统包括：血压脉象检测装置、终端及服务器，所述终端分别与所述血压脉象检测装置及所述服务器建立通信连接，所述血压脉象检测装置用于检测人体的血压脉象检测数据，所述终端用于从所述血压脉象检测装置接收所述血压脉象检测数据，并将所述血压脉象检测数据转发至所述服务器，所述服务器对所述血压脉象检测数据进行分析，并根据分析结果获取人体健康信息，将所述健康信息回传给所述终端，所述终端显示所述健康信息。
为解决上述问题，本申请实施例提供了一种血压脉象检测方法，用于血压脉象检测系统，所述血压脉象检测系统包括血压脉象检测装置、终端及服务器，所述检测方法包括：所述血压脉象检测装置检测人体的血压脉象检测数据；所述终端分别与所述血压脉象检测装置及所述服务器建立通信连接，并从所述血压脉象检测装置接收所述血压脉象检测数据；所述终端将所述血压脉象检测数据转发至所述服务器；所述服务器对所述血压脉象检测数据进行分析，并根据分析结果获取人体健康信息；所述服务器将所述健康信息回传给所述终端；所 述终端显示所述健康信息。
为解决上述问题，本申请实施例提供了一种血压脉象检测装置，所述血压脉象检测装置为上述血压脉象检测装置。
与现有技术相比，本申请实施例血压脉象检测系统包括：血压脉象检测装置、终端及服务器，终端分别与血压脉象检测装置及服务器建立通信连接，血压脉象检测装置用于检测人体的血压脉象检测数据，终端用于从血压脉象检测装置接收血压脉象检测数据，并将血压脉象检测数据转发至服务器，服务器对血压脉象检测数据进行分析，并根据分析结果获取人体健康信息，将健康信息回传给终端，终端显示健康信息。本申请实施例通过服务器对血压脉象检测数据进行分析，以获取人体的健康信息，能够提高血压脉象检测及数据处理的准确度，且通过终端显示健康信息及血压脉象检测数据，能使用户及时了解自身的健康状况，减少疾病风险。
【附图说明】
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本申请血压脉象检测系统一实施例的结构示意图；
图2是图1实施例检测的一脉象波形图；
图3是图1实施例检测的另一脉象波形图；
图4是图1实施例检测的又一脉象波形图；
图5是本申请血压脉象检测装置一实施例的结构示意图；
图6是本申请血压脉象检测方法一实施例的流程示意图；
图7是图6实施例中步骤S604的具体流程示意图；
图8是图7实施例中步骤S704的具体流程示意图；
图9是本申请血压脉象检测方法另一实施例的流程示意图；
图10是本申请血压脉象检测方法又一实施例的流程示意图；
【具体实施方式】
下面结合附图和实施例，对本申请作进一步的详细描述。特别指出的是， 以下实施例仅用于说明本申请，但不对本申请的范围进行限定。同样的，以下实施例仅为本申请的部分实施例而非全部实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等(如果存在)是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例，例如能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本申请首先提出一种血压脉象检测系统，如图1所示，本实施例血压脉象检测系统101包括血压脉象检测装置102、终端103及服务器104，终端103分别与血压脉象检测装置102及服务器104建立通信连接，血压脉象检测装置102用于检测人体的血压脉象检测数据，终端103用于从血压脉象检测装置102接收血压脉象检测数据，终端103将血压脉象检测数据转发至服务器104，服务器104对血压脉象检测数据进行分析，并根据分析结果获取人体健康信息，服务器104将健康信息回传给终端103，终端103显示健康信息。
本实施例终端103可以包括诸如手机、平板电脑、笔记本电脑、掌上电脑、个人数字助理及可穿戴设备等，服务器104是分布在网络或云端的智能计算机系统。
本实施例的终端103可以与血压脉象检测装置102建立有连接或者无线连接，终端103可以与服务器104建立无线连接。
本实施例的服务器104对终端103转发的血压脉象检测数据进行分析，以获取人体的健康信息，终端103可以显示服务器104回传的健康信息及血压脉象检测装置102检测的血压脉象检测数据。
因人体健康信息往往需要丰富的经验数据及推理规则得出，而服务器104可以获取丰富的血压脉象检测数据，且具有较强的数据处理能力，因此本实施例通过服务器104对血压脉象检测数据进行分析，以获取人体的健康信息，能够提高血压脉象检测及数据处理的准确度。且本实施例的终端103显示健康信息及血压脉象检测数据，能使用户及时了解自身的健康状况，减少疾病风险。
具体地，服务器104可以预存血压脉象检测数据，该血压脉象检测数据可以包括正常的血压脉象检测数据范围、同一人体的多个血压脉象检测数据及多个人体的血压脉象检测数据等。服务器104还可以预存其它生理数据及其它生理数据与血压脉象检测数据之间的映射关系。服务器104可以根据预存的血压脉象检测数据将终端103转发的血压脉象检测数据进行分析，以获取人体的健康信息。例如，服务器104可以将终端103转发的人体A的血压脉象检测数据与正常的血压脉象检测数据范围进行对比，或者将终端103转发的人体A的血压脉象检测数据与人体A的以往的血压脉象检测数据进行比对，又或者将终端103转发的人体A的血压脉象检测数据与人体B的血压脉象检测数据进行比对等，以根据对比结果获取人体A的健康信息。
其中，血压脉象检测数据包括脉搏波，脉搏波是由心脏的动推血液沿管运行而产生的，它是一种周期性压力波。人体的脉搏波蕴含着丰富的生理信息，如血压、心率及心血管信息等。通过对脉搏波形的分析，能够获取心血管健康信息，以减少心血管疾病的发生。
可选地，为提高健康信息的准确度，服务器104在从终端103获取多个脉搏波之后，需要对多个脉搏波进行滤波处理，以剔除干扰噪声。
具体地，服务器104获取脉搏波的幅值，并判断幅值是否在预设幅值范围内，若是，则服务器104判断幅值在预设范围内的脉搏波为第一脉搏波，并滤除除第一脉搏波之外的脉搏波。进一步地，服务器104可以获取第一脉搏波的特征点的幅值，该特征点可以包括第一脉搏波的反射波点、波峰点、波谷点或者其它极值点或拐点等。
当然，在另一实施例中，服务器还可以获取脉搏波的周期，并将周期不在预设周期内的脉搏波滤除，以获取第一脉搏波，即以周期作为滤波条件。当然，在其它实施例中，还可以将脉搏波的幅值及周期同时作为滤波条件。
不同的人体，或者同一人体处于不同的健康状态时，产生的脉搏波不同，即脉象不同。中医常见的脉象有多种，如滑脉、促脉、弦脉、平脉、浮脉、沉脉、迟脉、数脉、虚脉等等，每种脉象的波形存在差异，如图2所示，滑脉、促脉、弦脉及平脉的波形均不同。
不同的脉象表征了人体不同的健康状况，为提高健康信息的准确度，本实施例的服务器104进一步对第一脉搏波进行脉象(波形)识别。
具体地，本实施例的服务器104存储有预设波形，该预设波形至少包括滑 脉波形、促脉波形、弦脉波形或平脉波形等。服务器104在对终端103转发的多个脉搏波进行滤波之后，将第一脉搏波与预设波形进行匹配；服务器104进一步获取与第一脉博波匹配的预设波形为第一预设波形，并根据第一预设波得到健康信息。例如，服务器104判断终端103转发的第一脉搏波与预设的滑脉波形匹配，则判断该第一脉搏波为滑脉；服务器104进一步可以将第一脉搏波或第一预设波形及健康信息“滑脉”回传给终端104。
可选地，服务器104分别获取第一脉博波的第一特征信息及预设波形的第二特征信息，若第一特征信息与第二特征信息之间的差值小于预设差值，则服务器104判断第一脉博波与预设波形匹配。
具体地，本实施例的特征信息可以包括第一脉博波的波形周期及波形驻点(包括极值点及拐点)信息。其中，波形驻点信息包括波形驻点的数量及相邻波形驻点之间的时间间隔等信息。如图2所示，促脉的波形周期与其它脉象的波形周期相差较大，若服务器104判断第一脉博波的波形周期与预设的促脉波形的波形周期的差值小于预设差值，则可以判断第一脉博波为促脉；若服务器104判断该差值大于预设差值，则进一步判断第三脉博波的波形极值点的数量是否为2(预设的滑脉的波形极值点的数量为2)，且判断第二波形驻点的幅值是否较大并且是否比第一波形驻点位置低，若是，则可以判断第三脉博波为滑脉；若服务器104判断第三脉博波的波形极值点的数量是等于3，则可以进一步判断第三脉博波的第一波形驻点与第二波形驻点之间的间隔时间是否小于预设时间(预设的弦脉的第一波形驻点与第二波形驻点之间的时间间隔)，若是，则可以判断第一脉博波为弦脉，等等。
本实施例可以通过脉搏波的波形周期及波形驻点信息识别脉博波的脉象(波形)。当然，在其它实施例中，还可以根据脉搏波的其它特征信息识别脉博波的脉象(波形)。
当然，服务器在进行脉象识别前可以先对获取的波形驻点进行过滤，以减少噪声干扰。
脉诊是中医诊断学四诊之一，是一种独特的诊断方法。它主要是利用手指的感觉来分析脉搏的“位、数、形、势”等特征，借以判断脏腑的功能状态，从而实现无创诊断的目的，对疾病的诊断和治疗有着积极的意义。
现有的脉象仪虽然可以做到意会切脉过程，将脉搏波图形化并显示，使用户通过脉搏波直观的认识脉象，但从脉象获取健康信息，需要丰富的临床经验， 因此非医护人员或非专业医护人员很难从脉象波形中准确的得到健康信息。
为解决上述问题，本实施例的服务器104进一步对第一脉博波进行分析，以从第一脉博波获取更具体的人体健康信息，本实施例的健康信息除了包括脉象信息，还包括血压、脉搏力度、脉率、脉律和反映动脉弹性的反射波增强指数(AI)等信息。
具体地，服务器104获取整个测量过程中脉波幅值最大的几个脉搏波，如3个，并根据波峰点的幅值取均值获取人体的脉搏力度。均值的幅值越大，脉搏力度越大，脉搏力度的大小表征了人体体质的强弱；服务器104还可以从第一脉搏波获取脉率、脉律和AI值等。
服务器104将上述获取的健康信息回传给终端102，终端102显示健康信息，如图3及图4所示。
进一步地，服务器104存储有预设范围，判断上述健康信息是否在预设范围内；若是，则控制终端103上的健康信息显示状态为正常；若否，则终端显示103上的健康信息显示状态为异常。
服务器104还可将第一脉搏波或者与第一脉搏波对应的脉象波形及第一脉搏波的类型、血压数据等回传给终端103，终端103显示脉象波形及类型、血压数据。
可选地，本实施例的服务器104进一步根据反射波点及波峰点获取人体的血管弹性的健康信息，例如，若服务器104判断反射波点在波峰点的右侧(如图3所示)，则获取的健康信息为血管弹性较好，若服务器104判断反射波点在波峰点的左侧(如图4所示)，则获取的健康信息血管弹性较差；服务器104还可以根据心率数据获取心率过缓或者过速、心率不齐及等健康信息；服务器104还可以根据AI值获取动脉健康信息，等等。终端103也可显示这些健康信息。
区别于现有技术，本实施例的通过服务器104对血压脉象检测数据进行分析，以获取人体的健康信息，能够提高血压脉象检测及数据处理的准确度；且本实施例的终端103能够显示详细健康信息，而不只是脉搏波，使得非医护人员也能通过该健康信息清楚了解自身的健康状态。
本申请进一步提出一种血压脉象检测装置，如图5所示，本申请的血压脉象检测装置为上述实施例中血压脉象检测装置102，血压脉象检测装置102包括主机11和袖带12，其中主机11设置有一接口110，该接口110用于与终端103建立连接。
具体地，终端103用于向血压脉象检测装置102提供第一电压，即终端103通过接口110向血压脉象检测装置102的主机11供电。接口110可以为USB接口，接口110可以通过数据线21与终端20连接。其中，数据线21可为OTG数据线。在终端103通过数据线21与血压脉象检测装置102连接时，终端103作为主设备，血压脉象检测装置102为从设备。
袖带12可以穿戴在人体的手臂上，与人体动脉接触，主机11通过袖带12检测人体动脉的血压脉象检测数据。在血压脉象检测装置102接收到检测指令时，主机11根据检测指令通过袖带12检测人体动脉的血压脉象检测数据，并通过接口110将血压脉象检测数据发送给终端103。
本申请的血压脉象检测装置102可以通过接口110与终端103进行数据通信，实现联网功能，提高用户的使用体验。
可选地，本实施例的袖带12可以包括气体通道121和气囊袋122，气体通道121和气囊袋122的气路接口连接。
可选地，本实施例的主机11可以包括控制器111、压力传感器112、气泵113、泄气阀114、气泵驱动电路115、泄气阀驱动电路116、数模转换电路117以及转换器118；压力传感器112、气泵113和泄气阀114分别与控制器111耦接，控制器111用于控制气泵113对气囊袋122进行充气，控制泄气阀114对气囊袋122进行放气，控制压力传感器112对气体通道121中气体的压力进行检测。
气体通道121可以延伸到主机11，气体通道121可以分别与压力传感器112、气泵113和泄气阀114连接。气泵驱动电路115连接在气泵113和控制器111之间，用于驱动气泵113，即控制器111通过气泵驱动电路115驱动气泵113，以将气体充入气囊袋122。泄气阀驱动电路116连接在泄气阀114和控制器111之间，用于驱动泄气阀114，即控制器111通过泄气阀驱动电路116驱动泄气阀114，以将气囊袋122的气体进行放气。
其中，主机11设置有袖带接口，袖带12的气体通道121与袖带接口可拆卸连接，气体通道100通过袖带接口分别与压力传感器112、气泵113和泄气阀114连接。
数模转换电路117连接在压力传感器112和控制器111之间；在压力传感器112检测到气体通道121中气体的压力时，压力传感器112用于将气体的压力转化为模拟信号，并将模拟信号传输至数模转换电路117；数模转换电路117将模 拟信号转化为数字信号，并将数字信号发送给控制器111。
接口110可以包括电源端，电源端分别与气泵驱动电路115和泄气阀驱动电路116连接，用于向气泵驱动电路115和泄气阀驱动电路116提供第一电压V1。转换器118的输入端与电源端连接，用于将第一电压V1转换为第二电压V2；转换器118的输出端分别与控制器111、压力传感器112和数模转换电路117连接，用于向控制器111、压力传感器112和数模转换电路117提供第二电压V2，其中第二电压V2小于第一电压V1。
接口110进一步包括数据传输端，终端103通过数据传输端向控制器111发送检测指令，血压脉象检测装置102根据检测指令检测血压脉象检测数据。具体检测方法见下述方法实施例。
在其他实施例中，气囊袋可以包括预留的气体。控制器通过压力传感器对预留的气体进行压力检测，并根据压力检测结果判断是否启动血压脉象检测；若是，则血压脉象检测装置进行血压脉象检测。通过这种方式，能够实现自动启动血压脉象检测，提高用户的体验效果。
在其他实施例中，控制器进一步获取压力检测结果与第二压力阈值的压力变化幅度，在控制器判断到压力变化幅度大于预设的变化幅度阈值时，控制器启动血压脉象检测。在控制器判断到压力变化幅度小于预设的变化幅度阈值时，控制器控制血压脉象检测装置进入休眠状态，以节省功耗。
在其他实施例中，在血压脉象检测装置的加压阶段时，血压脉象检测装置采用闭环控制调节气体的充气速度，具体地控制器控制气泵对气囊袋进行充气，控制器通过压力传感器采集气体的压力为第一压力，控制器前一次通过压力传感器采集到的压力为第二压力；控制器根据第一压力和第二压力得到袖带的静压力。
控制器进一步根据静压力获取气囊袋中气体的加压速率，并将加压速率与恒定速率进行比较；在控制器判断到加压速率小于恒定速率时，控制器控制气泵的转速增大；在控制器判断到加速度速率大于恒定速率时，则控制器控制气泵的转速减小，以使得加压速率为恒定速率。因此，控制器控制气泵对气囊袋进行充气，进而控制气泵通过气体通道以恒定速度进行充气，以保证控制器获得脉搏波的准确性。
本申请进一步提出一种血压脉象检测方法，可用于上述血压脉象检测系统101，如图5所示，本实施例血压脉象检测方法包括以下步骤：
步骤S601：血压脉象检测装置102检测人体的血压脉象检测数据。
血压脉象检测装置102的加压阶段包括：控制器111在接收到检测指令时通过气泵驱动电路115控制气泵113工作，此时泄气阀114关闭，气泵113通过气体通道121对气囊袋122进行充气，压力传感器112用于采集气体通道121的气体的压力，并将气体的压力发送给控制器111，在控制器111判断到气体的压力超过预设值时，控制器111通过气泵驱动电路115控制气泵113停止工作。
血压脉象检测装置102的减压阶段包括：控制器111通过泄气阀驱动电路116驱动泄气阀114工作，此时气泵113停止工作，以控制气囊袋122内的气体经过气体通道121以恒定速率进行释放。
步骤S602：终端103分别与血压脉象检测装置102及服务器104建立通信连接，并从血压脉象检测装置102接收血压脉象检测数据。
本实施例的终端103可以与血压脉象检测装置102建立有连接或者无线连接，终端103可以与服务器104建立无线连接。
步骤S603：终端103将血压脉象检测数据转发至服务器104。
服务器104可以获取丰富的血压脉象检测数据，且具有较强的数据处理能力，因此本实施例通过服务器104对血压脉象检测数据进行分析，以获取人体的健康信息，能够提高血压脉象检测及数据处理的准确度。
步骤S604：服务器104对血压脉象检测数据进行分析，并根据分析结果获取人体健康信息。
可选地，本实施例的血压脉象检测数据包括脉搏波，本实施例可以通过如图7所示的方法实现步骤S604，本实施例的方法具体包括以下步骤：
步骤S701：服务器104获取脉搏波的幅值或周期。
具体地，服务器104可以获取脉搏波的特征点的幅值，该特征点可以包括脉搏波的反射波点、波峰点、波谷点或者其它极值点或拐点等。
步骤S702：服务器104判断幅值是否在预设幅值范围内。
步骤S703：若幅值在预设幅值范围内，则服务器104判断脉搏波为第一脉搏波，并滤除除第一脉搏波之外的脉搏波。
服务器104在从终端103获取多个脉搏波之后，需要对多个脉搏波进行滤波处理，以剔除干扰噪声，能够提高健康信息的准确度。
在另一实施例中，服务器还可以获取脉搏波的周期，并将周期不在预设周期内的脉搏波滤除，以获取第一脉搏波，即以周期作为滤波条件。当然，在其 它实施例中，还可以将脉搏波的幅值及周期同时作为滤波条件。
可选地，不同的脉象表征了人体不同的健康状况，为提高健康信息的准确度，本实施例的服务器104可以通过步骤S704-S706对第一脉搏波进行脉象(波形)识别。本实施例的方法包括以下步骤：
步骤S704：服务器104将第一脉搏波与预设波形进行匹配。
其中，预设波形至少包括滑脉波形、促脉波形、弦脉波形或平脉波形。
本实施例可以通过如图8所述的方法实现步骤S704，本实施例的方法包括以下步骤：
步骤S801：服务器104分别获取第一脉博波的第一特征信息及预设波形的第二特征信息。
本实施例的特征信息可以包括第一脉博波的波形周期及波形驻点(包括极值点及拐点)信息。其中，波形驻点信息包括波形驻点的数量及相邻波形驻点之间的时间间隔等信息。
步骤S802：若第一特征信息与第二特征信息之间的差值小于预设差值，则服务器判断第一脉博波与预设波形匹配。
本实施例可以通过脉搏波的波形周期及波形驻点信息识别脉博波的脉象(波形)。当然，在其它实施例中，还可以根据脉搏波的其它特征信息识别脉博波的脉象(波形)。具体匹配方法可参见上述实施例。
步骤S705：服务器104获取与第一脉博波对应的预设波形为第一预设波形。
步骤S706：服务器104根据第一预设波形得到健康信息。
步骤S605：服务器104将健康信息回传给终端103。
本实施例的服务器104还可以进一步对第一脉博波进行分析，以从第一脉博波获取更具体的人体健康信息，本实施例的健康信息除了包括脉象信息，还包括血压、脉搏力度、脉率、脉律和动弹性的射增强指数(AI)等信息。具体方法可参见上述实施例。
步骤S606：终端103显示健康信息。
服务器104还可将第一脉搏波或者与第一脉搏波对应的脉象波形及第一脉搏波的类型、血压数据等回传给终端103，终端103显示脉象波形及类型、血压数据。
区别于现有技术，本实施例的通过服务器104对血压脉象检测数据进行分析，以获取人体的健康信息，能够提高血压脉象检测及数据处理的准确度；且 本实施例的终端103能够显示详细健康信息，而不只是脉搏波，使得非医护人员也能通过该健康信息清楚了解自身的健康状态。
由于气泵113加压过程对气囊袋122的压力叠加了高频的波动，对脉搏波波形细节的影响很大，为了获取到真实的脉搏波形，本申请进一步提出另一实施例的血压脉象检测方法，用于上述血压脉象检测系统。如图9所述，本实施例的方法包括以下步骤：
步骤S901：控制器111控制气泵113对袖带12的气囊袋122进行充气。
控制器111在接收到检测指令时通过气泵驱动电路115控制气泵113工作，此时泄气阀114关闭，此时气泵113通过气体通道121对气囊袋122进行充气。
步骤S902：控制器111控制压力传感器112检测气体通道121的压力，并将压力与预设的第一压力阈值进行比较。
控制器111控制压力传感器112检测气体通道121的气体的压力，并将气体的压力发送给控制器111，控制器111将压力与预设的第一压力阈值进行比较。
步骤S903：若压力等于第一压力阈值时，控制器111控制气泵113停止充气。
在控制器111判断到气体的压力超过第一压力阈值时，控制器111通过气泵驱动电路115控制气泵113停止工作。
步骤S904：控制器111控制压力传感器检测人体的多个脉搏波，并将多个脉搏波发送给终端103。
具体获得脉搏波形的方法包括：控制器111获得气体介质的压力与时间的波形；控制器111提取不同脉搏周期内的气体介质的压力的极小值点，将两个极小值点间的波形减去两个极小值点连接的直线，以得到脉搏波形。
步骤S905：终端103将多个脉搏波转发给服务器104。
步骤S906：服务器104对多个脉搏波进行处理，以根据分析结果获取健康信息。
步骤S907：服务器104将健康信息回传给终端102。
步骤S908：终端102显示健康信息。
步骤S905-S908与上述步骤S603-S606相似，这里不赘述。
区别于现有技术，本实施例在持压阶段(升压后保持阶段)获取多个脉搏波，能够减少气泵在加压过程中对脉博波的干扰，因此能够提高血压脉象检测的准确度。
本申请进一步提出又一实施例的血压脉象检测方法，如图10所示，本实施例的方法包括以下步骤：
步骤S1001：控制器111控制气泵113对袖带12的气囊袋122进行充气。
步骤S1001与上述步骤S901相同，这里不赘述。
步骤S1002：控制器111控制压力传感器112检测气囊袋122的压力，以获取人体的第二脉搏波。
步骤S1003：控制器111提取每个脉搏周期对应的第二脉搏波的极大值。
步骤S1004：控制器11根据第二脉搏波的多个极大值中的最大值计算收缩压和舒张压作为人体的血压信息。
其中，收缩压为所述最大值与第一系数的乘积，舒张压为所述最大值与第二系数的乘积。
步骤S1005：控制器111控制压力传感器112检测气体通道121的压力，并将压力与预设的第一压力阈值进行比较。
步骤S1006：若压力等于第一压力阈值时，控制器111控制气泵113停止充气。
步骤S1007：控制器111控制压力传感器检测人体的多个脉搏波，并将多个脉搏波发送给终端103。
步骤S1008：终端103将多个脉搏波转发给服务器104。
步骤S1009：服务器104对多个脉搏波进行处理，以根据分析结果获取健康信息。
步骤S1010：服务器104将健康信息回传给终端102。
步骤S1011：终端102显示健康信息。
步骤S1005及S1011与上述步骤S902及S908相同，这里不赘述。
区别于现有技术，本实施例在加压阶段获取人体的第二脉搏波，以根据第二脉搏波获取血压数据，以同时实现血压数据及脉象信息的检测。
需要说明的是，以上各实施例均属于同一发明构思，各实施例的描述各有侧重，在个别实施例中描述未详尽之处，可参考其他实施例中的描述。
以上对本申请实施例所提供的保护电路和控制系统进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的方法及其核心思想；同时，对于本领域的一般技术人员，依据本申请的思想，在具体实施方式及应用范围上均会有改变之处，综 上所述，本说明书内容不应理解为对本申请的限制。

Claims (16)

  1. 一种血压脉象检测系统，其特征在于，所述检测系统包括：血压脉象检测装置、终端及服务器，所述终端分别与所述血压脉象检测装置及所述服务器建立通信连接，所述血压脉象检测装置用于采集人体的血压脉象检测数据，所述终端用于从所述血压脉象检测装置接收所述血压脉象检测数据，并将所述血压脉象检测数据转发至所述服务器，所述服务器对所述血压脉象检测数据进行分析，并根据分析结果获取人体健康信息，将所述健康信息回传给所述终端，所述终端显示所述健康信息。
  2. 根据权利要求1所述的血压脉象检测系统，其特征在于，所述血压脉象检测数据包括脉搏波，所述终端将多个所述脉搏波发送给所述服务器，所述服务器获取所述脉搏波的幅值或周期，并判断所述幅值是否在预设幅值范围内，或者判断所述周期是否在预设周期范围内，若是，则判断所述脉搏波为第一脉搏波，所述服务器滤除除所述第一脉搏波之外的所述脉搏波。
  3. 根据权利要求2所述的血压脉象检测系统，其特征在于，所述服务器将所述第一脉搏波与预设波形进行匹配，并获取与所述第一脉博波匹配的所述预设波形为第一预设波形，所述服务器根据所述第一预设波形得到所述健康信息；
    其中，所述预设波形至少包括滑脉波形、促脉波形、弦脉波形或平脉波形。
  4. 根据权利要求3所述的血压脉象检测系统，其特征在于，所述服务器分别获取所述第一脉博波的第一特征信息及所述预设波形相应的第二特征信息，若所述第一特征信息与所述第二特征信息之间的差值小于预设差值，则所述服务器判断所述第一脉博波与所述预设波形匹配。
  5. 根据权利要求3所述的血压脉象检测系统，其特征在于，所述服务器获取脉波幅值大于预设脉波幅值的多个所述第一脉搏波，并获取所述多个第一脉搏波的波峰点的幅值的均值为所述人体的脉搏力度。
  6. 根据权利要求5所述的血压脉象检测系统，其特征在于，所述服务器获取所述第一脉搏波的反射波点，并根据所述反射波点及所述波峰点获取所述人体的血管弹性的健康信息。
  7. 根据权利要求1所述的血压脉象检测系统，其特征在于，所述服务器存储有预设范围，判断所述健康信息是否在所述预设范围内；若是，则所述终端显示所述健康信息的状态为正常；若否，则所述终端显示所述健康信息的状态为 异常。
  8. 根据权利要求1所述的血压脉象检测系统，其特征在于，所述血压脉象检测装置设置有一接口，所述终端与所述接口连接，用于向所述血压脉象检测装置提供电压，并通过所述接口接收到所述血压脉象检测数据。
  9. 根据权利要求8所述的血压脉象检测系统，其特征在于，所述血压脉象检测装置包括主机和袖带，所述主机设置有所述接口，所述主机包括控制器和与所述控制器耦接的压力传感器、气泵和泄气阀，所述袖带设置有气体通道和气囊袋，所述压力传感器、所述气泵和所述泄气阀分别与所述气体通道连接，所述气体通道与所述气囊袋的气路接口连接；
    在所述血压脉象检测装置对所述人体进行血压脉象检测时，所述袖带与人体动脉接触，所述控制器控制所述气泵对所述气囊袋进行充气，控制所述泄气阀对所述气囊袋进行放气，控制所述压力传感器对所述气体通道中气体的压力进行检测，并通过所述接口将所述血压脉象检测数据发送给所述终端。
  10. 根据权利要求9所述的血压脉象检测系统，其特征在于，所述主机还包括气泵驱动电路和泄气阀驱动电路；所述气泵驱动电路连接在所述气泵和所述控制器之间，用于驱动所述气泵；所述泄气阀驱动电路连接在所述泄气阀和所述控制器之间，用于驱动所述泄气阀；
    所述接口包括电源端，所述电源端分别与所述气泵驱动电路和所述泄气阀驱动电路连接，用于向所述气泵驱动电路和所述泄气阀驱动电路提供所述电压。
  11. 根据权利要求9所述的血压脉象检测系统，其特征在于，所述控制器控制所述气泵对所述气囊袋进行充气，在所述压力传感器检测的压力为预设的第一压力阈值时，所述控制器控制所述气泵停止充气，通过所述压力传感器检测到多个脉搏波，并将多个所述脉搏波发送给终端。
  12. 一种血压脉象检测方法，其特征在于，用于血压脉象检测系统，所述血压脉象检测系统包括至少一血压脉象检测装置、终端及服务器，所述检测方法包括：
    所述血压脉象检测装置检测人体的血压脉象检测数据；
    所述终端分别与所述血压脉象检测装置及所述服务器建立通信连接，并从所述血压脉象检测装置接收所述血压脉象检测数据；
    所述终端将所述血压脉象检测数据转发至所述服务器；
    所述服务器对所述血压脉象检测数据进行分析，并根据分析结果获取人体 健康信息；
    所述服务器将所述健康信息回传给所述终端；
    所述终端显示所述健康信息。
  13. 根据权利要求12所述的检测方法，其特征在于，所述血压脉象检测数据包括脉搏波，所述服务器对所述血压脉象检测数据进行分析，并根据分析结果获取人体健康信息的步骤包括：
    所述服务器获取所述脉搏波的幅值或周期；
    所述服务器判断所述幅值是否在预设幅值范围内，或者判断所述周期是否在预设周期范围内；
    若是，则所述服务器判断所述脉搏波为第一脉搏波，并滤除除所述第一脉搏波之外的所述脉搏波。
  14. 根据权利要求13所述的检测方法，其特征在于，在所述滤除除所述第一脉搏波之外的所述脉搏波的步骤之后，所述检测方法进一步包括：
    所述服务器将所述第一脉搏波与预设波形进行匹配；
    所述服务器获取与所述第一脉博波对应的预设波形为第一预设波形；
    所述服务器根据所述第一预设波形得到所述健康信息；
    其中，所述预设波形至少包括滑脉波形、促脉波形、弦脉波形或平脉波形。
  15. 根据权利要求14所述的检测方法，其特征在于，所述服务器将所述第一脉搏波与预设波形进行匹配的步骤包括：
    所述服务器分别获取所述第一脉博波的第一特征信息及所述预设波形的第二特征信息；
    若所述第一特征信息与所述第二特征信息之间的差值小于预设差值，则所述服务器判断所述第一脉博波与所述预设波形匹配。
  16. 一种血压脉象检测装置，其特征在于，所述血压脉象检测装置为权利要求1-11任一项所述的血压脉象检测装置。
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114722855A (zh) * 2022-02-28 2022-07-08 太原理工大学 一种滑脉波的识别处理方法
CN115868944A (zh) * 2022-09-23 2023-03-31 广东省新黄埔中医药联合创新研究院 寸关尺三部压力传感阵列测脉搏包络识别缓脉特征的方法

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114305345B (zh) * 2022-02-16 2023-07-25 平安科技（深圳）有限公司 一种脉象识别方法、系统、装置及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020095090A1 (en) * 1994-04-15 2002-07-18 Caro Richard G. System and method of determining whether to recalibrate a blood pressure monitor
CN202489940U (zh) * 2011-12-23 2012-10-17 中国计量学院 一种脉象信息采集系统
CN202537490U (zh) * 2012-03-13 2012-11-21 上海中医药大学 脉象数据信息采集与分析装置
CN203953630U (zh) * 2014-03-28 2014-11-26 深圳市大富网络技术有限公司 一种脉象检测装置、智能腕带、智能手表和通信系统
CN107736880A (zh) * 2017-10-24 2018-02-27 新绎健康科技有限公司 一种脉象分析方法及系统
CN109065163A (zh) * 2018-07-19 2018-12-21 上海泰怡健康科技有限公司 中医诊断服务平台

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020095090A1 (en) * 1994-04-15 2002-07-18 Caro Richard G. System and method of determining whether to recalibrate a blood pressure monitor
CN202489940U (zh) * 2011-12-23 2012-10-17 中国计量学院 一种脉象信息采集系统
CN202537490U (zh) * 2012-03-13 2012-11-21 上海中医药大学 脉象数据信息采集与分析装置
CN203953630U (zh) * 2014-03-28 2014-11-26 深圳市大富网络技术有限公司 一种脉象检测装置、智能腕带、智能手表和通信系统
CN107736880A (zh) * 2017-10-24 2018-02-27 新绎健康科技有限公司 一种脉象分析方法及系统
CN109065163A (zh) * 2018-07-19 2018-12-21 上海泰怡健康科技有限公司 中医诊断服务平台

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114722855A (zh) * 2022-02-28 2022-07-08 太原理工大学 一种滑脉波的识别处理方法
CN115868944A (zh) * 2022-09-23 2023-03-31 广东省新黄埔中医药联合创新研究院 寸关尺三部压力传感阵列测脉搏包络识别缓脉特征的方法
CN115868944B (zh) * 2022-09-23 2023-09-08 广东省新黄埔中医药联合创新研究院 寸关尺三部压力传感阵列测脉搏包络识别缓脉特征的方法

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