WO2015143723A1

WO2015143723A1 - Cloud processing method for human health data, and mobile terminal and communication system

Info

Publication number: WO2015143723A1
Application number: PCT/CN2014/074320
Authority: WO
Inventors: 孙尚传; 李西峙
Original assignee: 深圳市大富网络技术有限公司
Priority date: 2014-03-28
Filing date: 2014-03-28
Publication date: 2015-10-01
Also published as: CN105407795B; CN105407795A

Abstract

A cloud processing method for human health data, and mobile terminal and communication system, the method comprising: S701: a pulse information detection device worn on a limb of a user receives external pressure; S702: a pressure sensor of the pulse information detection device continuously detects the pressure at an arterial location of the limb of the user via a resilient air bag sleeved on the periphery; S703: the pulse information detection device calculates and obtains human pulse information according to the pressure detected by the pressure sensor, and transmits the human pulse information to a cloud server; S704: the cloud server receives the human pulse information transmitted by the pulse information detection device; S705: the cloud server analyzes the physical condition of the user according to the human pulse information. The method can precisely acquire human pulse information, and conduct cloud processing of the physical condition of the user.

Description

Human health data cloud processing method, mobile terminal and communication system

[Technical Field]

The cloud processing technology field of the present invention specifically relates to a human body health data cloud processing method, a mobile terminal, and a communication system.

【Background technique】

As the aging population becomes more and more serious, there are more and more people in sub-health. In the current situation where hospital resources are still relatively limited, sub-health people cannot go to the hospital for diagnosis and treatment immediately when their body is slightly uncomfortable. In view of this, it is increasingly important to perform real-time remote processing of the physical condition of sub-health populations.

[Summary of the Invention]

The embodiment of the invention provides a cloud processing method for a human health data, a mobile terminal and a communication system, which can accurately acquire body pulse information and perform cloud processing on the user's physical condition.

In order to solve the above problem, an embodiment of the present invention provides a method for processing a human health data cloud, including the following steps: a pulse information detecting device worn on a user's limb receives an external pressing force; and a pressure sensor of the pulse information detecting device passes through the outer circumference The set elastic velocity continuously detects the pressure of the artery position of the user's limb; the pulse information detecting device calculates the body pulse information according to the pressure detected by the pressure sensor, and transmits the human pulse information to the cloud server; The cloud server receives the human body pulse information sent by the pulse information detecting device; the cloud server analyzes the physical condition of the user according to the human body pulse information.

The step of receiving the external pressing force by the pulse information detecting device worn by the user's limb includes: receiving the external pressing force by the pulse information detecting device worn on the user's limb, so that the user's limbs move from the blood to the blocking, From blocking to smooth.

The step of the pulse information detecting device calculating the body pulse information according to the pressure detected by the pressure sensor and transmitting the pulse information to the cloud server includes: the pulse information detecting device according to the The pressure detected by the pressure sensor calculates the pulse information of the human body and sends the information to the mobile terminal, and the mobile terminal forwards the pulse information of the human body to the cloud server.

Wherein, the pressure sensor comprises an upper pressure sensor disposed back to back and a lower pressure sensor having a lower elastic air pocket disposed on the outer circumference, wherein the human body pulse information includes a pulse instantaneous waveform of the artery position, and the pressure of the pulse information detecting device The step of continuously detecting the pressure of the arterial position of the user's limb by the elastic gas sheath of the outer circumference includes: the upper pressure sensor detects an external pressing force, and the lower pressure sensor passes the lower elastic gas to the artery The pressure of the position is detected; the step of calculating, by the pulse information detecting device, the body pulse information according to the pressure detected by the pressure sensor comprises: the pulse information detecting device acquiring the lower pressure sensor and the upper part during the process of receiving the pressing force The difference or ratio between the pressures detected by the pressure sensor as the pulse instantaneous waveform of the arterial position.

Wherein, the human body pulse information includes a human body systolic pressure and a diastolic pressure, and the pulse information detecting device acquires a difference or a ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force, as the The step of describing the pulse instantaneous waveform of the arterial position further includes: the pulse information detecting means calculating the human systolic blood pressure and the diastolic blood pressure based on the difference value or the ratio.

Wherein, the pressure sensor comprises three lower pressure sensors each having a lower elastic air pocket and spaced apart from each other, and the artery position of the user limb includes three arterial positions of the user's limb, inch and ruler, and the human body pulse The information includes human body pulse information, and the pressure sensor of the pulse information detecting device continuously detects the pressure of the arterial position of the user's limb through the elastic gas sheath of the outer circumference, and includes: the three lower pressure sensors respectively detect the user's limb size and And measuring the pressure of the three arterial positions; the step of calculating, by the pulse information detecting device, the body pulse information according to the pressure detected by the pressure sensor comprises: the pulse information detecting device performing the pressure according to the three lower pressure sensors Pulse analysis, get human pulse information.

The step of transmitting the human body pulse information to the cloud server includes: sending the human body pulse information and the user information to the cloud server; and the step of the cloud server receiving the human body pulse information sent by the pulse information detecting device includes: : the cloud server receives the human body pulse The information and the user information are archived according to the user information.

In order to solve the above problem, an embodiment of the present invention provides a method for processing a human health data cloud, including the following steps: a pulse information detecting device worn on a user's limb receives an external pressing force; and a pressure sensor of the pulse information detecting device passes through the outer circumference The elastic gas of the sheath continuously detects the pressure of the position of the artery of the user's limb; the pulse information detecting device transmits the pressure detected by the pressure sensor to the mobile terminal; and the mobile terminal calculates the pressure according to the pressure sensor Obtaining human body pulse information, and transmitting the human body pulse information to the cloud server; the cloud server receives the human body pulse information sent by the pulse information detecting device; and the cloud server analyzes the user's physical condition according to the human body pulse information.

Wherein, the pressure sensor comprises an upper pressure sensor disposed back to back and a lower pressure sensor having a lower elastic air pocket disposed on the outer circumference, wherein the human body pulse information includes a pulse instantaneous waveform of the artery position, and the pressure of the pulse information detecting device The step of continuously detecting the pressure of the arterial position of the user's limb by the elastic gas sheath of the outer circumference includes: the upper pressure sensor detects an external pressing force, and the lower pressure sensor passes the lower elastic gas to the artery The pressure of the position is detected; the step of calculating, by the mobile terminal, the body pulse information according to the pressure detected by the pressure sensor comprises: the mobile terminal acquiring the lower pressure sensor and the upper pressure sensor detected during the process of accepting the pressing force The difference or ratio between the pressures is the pulse instantaneous waveform of the arterial position.

Wherein the human body pulse information includes a human systolic pressure and a diastolic pressure, and the mobile terminal acquires a difference or a ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force, as the artery The step of the pulse instantaneous waveform of the position further comprises: the mobile terminal calculating the human systolic pressure and the diastolic pressure according to the difference or the ratio.

Wherein, the pressure sensor comprises three lower pressure sensors each having a lower elastic air pocket and spaced apart from each other, and the artery position of the user limb includes three arterial positions of the user's limb, inch and ruler, and the human body pulse The information includes human body pulse information, and the pressure sensor of the pulse information detecting device continuously detects the pressure of the arterial position of the user's limb through the elastic gas sheath of the outer circumference, and includes: the three lower pressure sensors respectively detect the user's limb size and Pressure at three arterial locations; The step of calculating the body pulse information based on the pressure detected by the pressure sensor comprises: the mobile terminal performing pulse image analysis according to the pressure detected by the three lower pressure sensors to obtain body pulse information.

The step of transmitting the human body pulse information to the cloud server includes: the mobile terminal packages the human body pulse information and the user information to the cloud server; and the cloud server receives the human body pulse sent by the pulse information detecting device. The step of information includes: the cloud server receiving the human body pulse information and user information, and archiving the human body pulse information according to the user information.

The method further includes: if the cloud server receives the query instruction, sending the queried human pulse information and/or the physical condition analysis result to the mobile terminal according to the query instruction.

The step of analyzing the physical condition of the user according to the pulse information of the human body comprises: comparing the pulse information of the human body with a pre-established feature model, and obtaining a feature model matching the pulse information of the human body as a user Physical condition model.

The method further includes: the mobile terminal acquiring actual feedback of the user on the physical condition, and transmitting the actual feedback of the physical condition to the cloud server; the actual feedback of the cloud server according to the physical condition The feature model is modified.

The step of the cloud server receiving the pulse information of the human body sent by the pulse information detecting device further includes: determining, by the cloud server, whether the pulse information of the human body belongs to abnormal pulse information, wherein the abnormal pulse information reflects a physical abnormality The pulse information; if yes, the alarm information is sent to the pulse information detecting device or the mobile terminal.

In order to solve the above problem, an embodiment of the present invention provides a method for processing a human health data cloud, including the following steps: a pulse information detecting device worn on a user's limb receives an external pressing force; and a pressure sensor of the pulse information detecting device passes through the outer circumference The set elastic velocity continuously detects the pressure of the artery position of the user's limb; the pulse information detecting device transmits the pressure detected by the pressure sensor to the cloud server; the cloud server calculates the pressure according to the pressure sensor Obtaining human body pulse information; the cloud server analyzes the physical condition of the user according to the human body pulse information.

Wherein the pulse information detecting device transmits the pressure detected by the pressure sensor to the cloud The step of the server includes: the pulse information detecting device transmitting the pressure detected by the pressure sensor to the mobile terminal, and the mobile terminal forwarding the pressure detected by the pressure sensor to the cloud server.

Wherein, the pressure sensor comprises an upper pressure sensor disposed back to back and a lower pressure sensor having a lower elastic air pocket disposed on the outer circumference, wherein the human body pulse information includes a pulse instantaneous waveform of the artery position, and the pressure of the pulse information detecting device The step of continuously detecting the pressure of the arterial position of the user's limb by the elastic gas sheath of the outer circumference includes: the upper pressure sensor detects an external pressing force, and the lower pressure sensor passes the lower elastic gas to the artery The pressure of the position is detected; the step of the cloud server calculating the body pulse information according to the pressure detected by the pressure sensor comprises: the cloud server acquiring the lower pressure sensor and the upper pressure sensor detected during the process of accepting the pressing force The difference or ratio between the pressures is the pulse instantaneous waveform of the arterial position.

Wherein the human body pulse information includes a human systolic pressure and a diastolic pressure, and the cloud server acquires a difference or a ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force, as the artery The step of the pulse instantaneous waveform of the position further includes: the cloud server calculating the human systolic pressure and the diastolic pressure according to the difference or the ratio.

Wherein, the pressure sensor comprises three lower pressure sensors each having a lower elastic air pocket and spaced apart from each other, and the artery position of the user limb includes three arterial positions of the user's limb, inch and ruler, and the human body pulse The information includes human body pulse information, and the pressure sensor of the pulse information detecting device continuously detects the pressure of the arterial position of the user's limb through the elastic gas sheath of the outer circumference, and includes: the three lower pressure sensors respectively detect the user's limb size and And measuring the pressure of the three arterial positions; the step of the cloud server calculating the body pulse information according to the pressure detected by the pressure sensor comprises: the cloud server performing pulse analysis according to the pressure detected by the three down pressure sensors, Human pulse information.

To solve the above problem, an embodiment of the present invention provides a mobile terminal, including a short-range communication module, a network access module, and a processor connected to the short-range communication module and a network access module; the short-distance communication module The pressure of the artery position of the user's limb detected by the elastic gas entangled by the pressure sensor of the pulse information detecting device when receiving the external pressing force; The processor is configured to calculate body pulse information according to the pressure detected by the pressure sensor; wherein the pressure sensor of the pulse information detecting device comprises an upper pressure sensor disposed back to back and a lower elastic sleeve disposed on the outer circumference a pressure sensor, the body pulse information includes a pulse instantaneous waveform of the arterial position or a human systolic pressure and a diastolic pressure, and the short-range communication module is specifically configured to receive an external pressing force detected by an upper pressure sensor of the pulse information detecting device The lower pressure sensor detects the pressure of the artery position by the lower elastic air enthalpy; the step of the processor calculating the body pulse information according to the pressure detected by the pressure sensor comprises: the processor specifically uses Obtaining a difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor, as a pulse instantaneous waveform of the artery position, or according to a difference between pressures detected by the lower pressure sensor and the upper pressure sensor Value or ratio calculates body systolic and diastolic blood pressure.

Wherein, the pressure sensor comprises three lower pressure sensors each having a lower elastic air pocket and spaced apart from each other, and the artery position of the user limb includes three arterial positions of the user's limb, inch and ruler, and the human body pulse The information includes human body pulse information, and the short-distance communication module is specifically configured to receive three pressure sensors of the pulse information detecting device to respectively detect pressures of three arterial positions of the user's limbs, feet, and feet; the processor is specifically configured to The pressures detected by the three lower pressure sensors are subjected to pulse analysis to obtain human body pulse information.

The method further includes an input module, configured to obtain a query instruction input by the user, where the network access communication module is further configured to send the query instruction to the cloud server, and receive the human body pulse information fed back by the cloud server according to the query instruction. Or the result of analyzing the user's physical condition based on the pulse information of the human body.

In order to solve the above problem, an embodiment of the present invention provides a cloud communication system, including a pulse information detecting device and a cloud server, where the pulse information detecting device includes a pressure sensor, an elastic air jacket disposed around the pressure sensor, and communication. a module and a processor, the processor is electrically connected to the pressure sensor and the communication module, the cloud server includes an analysis module; and the pressure sensor compresses an artery position of the user's limb through an elastic air jacket that is sheathed at the outer circumference; The processor is sensing according to the pressure The pressure information detected by the device is used to calculate the body pulse information, and is sent to the cloud server through the communication module. The analysis module is configured to analyze the user's physical condition according to the human body pulse information sent by the pulse information detecting device.

Wherein, the pressure sensor comprises three lower pressure sensors which are respectively disposed with a lower elastic air and are disposed at intervals, and respectively detect the pressures of the three pulse positions of the body, the inch and the ruler through the lower elastic air enthalpy; The processor is specifically configured to perform pulse image analysis according to the pressure detected by the three lower pressure sensors to obtain body pulse information.

In order to solve the above problem, an embodiment of the present invention provides a cloud communication system, including a pulse information detecting device, a mobile terminal, and a cloud server, where the pulse information detecting device includes a pressure sensor and an elastic gas disposed around the periphery of the pressure sensor. a first short-range communication module and a processor electrically connected to the pressure sensor and the first short-distance communication module, the mobile terminal comprising a second short-range communication module, a network access module, and a processing module, The cloud server includes an analysis module; the pressure sensor compresses an artery position of the user's limb through a flexible air jacket that is sheathed by the outer circumference; the processor sends the pressure detected by the pressure sensor to the first short-distance communication module to the The processing module calculates the body pulse information according to the pressure detected by the pressure sensor received by the second short-distance communication module, and sends the human body pulse information to the cloud server through the network access module. The analysis module is configured to be based on the mobile terminal Human Pulse information sent by the user to analyze the physical condition.

The pressure sensor of the pulse information detecting device includes an upper pressure sensor disposed back to back and a lower pressure sensor having a lower elastic air jacket disposed on the outer circumference, wherein the processing module is specifically configured to acquire the lower pressure sensor and the upper pressure sensor. The difference or ratio between the pressures reached, the pulse instantaneous waveform of the arterial position, or the systolic and diastolic pressures of the human body based on the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor.

Wherein, the pressure sensor comprises three lower pressure sensors which are respectively disposed with a lower elastic air and are disposed at intervals, and respectively detect the pressures of the three pulse positions of the body, the inch and the ruler through the lower elastic air enthalpy; The processing module is specifically configured to perform pulse analysis based on the pressures detected by the three down pressure sensors. Information about the human body pulse.

The first and second short-range communication modules are specifically Bluetooth, infrared, near field communication NFC, or wireless high-fidelity wifi communication module.

In order to solve the above problem, an embodiment of the present invention provides a cloud communication system, including a pulse information detecting device and a cloud server, where the pulse information detecting device includes a pressure sensor, an elastic air jacket disposed around the pressure sensor, and communication. a module and a processor electrically connected to the pressure sensor and the communication module, the cloud server includes a processing module and an analysis module; the pressure sensor compresses an artery position of a user's limb through an elastic air jacket that is sheathed outside; Transmitting, by the communication module, the pressure detected by the pressure sensor to the cloud server; the processing module is configured to calculate body pulse information according to the pressure detected by the pressure sensor sent by the pulse information detecting device; The analysis module is configured to analyze the physical condition of the user according to the human pulse information.

Different from the prior art, in the present application, an accurate pressure signal can be obtained through the elastic atmosphere of the peripheral, and no need to inflate, the volume and weight are greatly reduced, and the measurement error is small, and the convenience and real-time are very good. At the same time, after the connection is established, real-time processing of the human body pulse information cloud can be realized.

[Description of the Drawings]

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described. It is obvious that the drawings in the following description are only some embodiments of the present invention. Other drawings may also be obtained from those of ordinary skill in the art in view of the drawings.

1 is a schematic structural diagram of Embodiment 1 of a cloud communication system according to the present application;

2 is a schematic structural view of a pulse information detecting device in Embodiment 2 of the cloud communication system of the present application; FIG. 3 is a schematic diagram showing a waveform of a pressure sensitive to a pressure sensor during the pressing process of the embodiment shown in FIG. 3;

4 is a schematic structural diagram of a pulse information detecting apparatus in Embodiment 3 of the cloud communication system of the present application; FIG. 5 is a schematic structural diagram of a pulse information detecting apparatus in Embodiment 4 of the cloud communication system of the present application; 6 is a schematic structural diagram of Embodiment 7 of the cloud communication system of the present application;

7 is a flow chart of Embodiment 1 of the applicant's body health data cloud processing;

8 is a flow chart of Embodiment 2 of the applicant's body health data cloud processing;

9 is a flowchart of Embodiment 3 of the applicant's body health data cloud processing;

FIG. 10 is a partial flow chart of Embodiment 4 of the applicant's body health data cloud processing.

【detailed description】

The present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is specifically noted that the following examples are merely illustrative of the present application, but are not intended to limit the scope of the application. Also, the following embodiments are only a part of the embodiments of the present application, and not all of the embodiments, and all other embodiments obtained by those skilled in the art without creative efforts are within the scope of the present application.

Embodiment 1 of the cloud communication system:

Please refer to FIG. 1. FIG. 1 is a schematic structural diagram of Embodiment 1 of a cloud communication system according to the present application. In this embodiment, the communication system includes a pulse information detecting device 110 and a cloud server 120. The pulse information detecting device 110 includes a pressure sensor 111, an elastic gas 1111, a communication module 112, and a peripheral portion of the pressure sensor 111. The pressure sensor 111 and the processor 113 electrically connected to the communication module 112, the cloud server 120 includes an analysis module 122.

The communication module 112 and the cloud server 120 can establish a connection through a network access manner such as an Ethernet or a wireless network, so as to implement information interaction between the pulse information detecting device 110 and the cloud server 120. For example, the pulse information detecting device has built-in wireless. The network card is either located in the SIM card or the wireless network card slot, and the network access is realized by accessing the wireless network or inserting the SIM card.

Specifically, after the communication module 112 and the cloud server 120 establish a connection in the above manner, the pulse information detecting device 110 worn on the user's limb receives an external pressing force. When the user's hand presses the pressure, the pressure sensor 111 is sleeved through the outer circumference. The elastic balloon 1111 squeezes the position of the artery of the user's limb and detects the pressure at the location of the artery. The processor 113 calculates the body pulse information according to the pressure detected by the pressure sensor 111 during the process of receiving the pressing force, and sends the pulse information through the communication module 112. Send it to the cloud server 120. For example, the communication module 112 directly accesses the network when the user sends an instruction, and encapsulates the network address of the body pulse signal and the pulse information detecting device in a data packet and sends the data to the cloud server.

After receiving the pulse information of the human body sent by the pulse information detecting device 110, the cloud server 120 obtains the pulse information of the human body according to the communication protocol, and sends the pulse information to the analysis module 122. The analysis module 122 is configured to analyze a user's physical condition according to the human body pulse information. For example, the analysis module 122 compares the body pulse information with the feature data preset in the local database to obtain feature data matching the body pulse information, and the body condition model is established from the feature data.

In this application, the precise pressure signal can be obtained through the peripheral elastic gas, and the air volume is not required to be inflated, the volume and weight are greatly reduced, and the measurement error is small, which is very convenient and real-time. At the same time, after the connection is established, real-time processing and monitoring of the pulse information cloud can be realized. For example, in hospital monitoring, the patient uniformly wears the pulse information detecting device fixed on the wristband. Because of its lightness, the patient can wear it for a long time, and can transmit the data to the hospital server at regular intervals, thereby realizing the heart rate and blood pressure of the hospital to the user. Real-time monitoring of parameters, etc., and feedback to the patient for remote monitoring and treatment. Embodiment 2 of the cloud communication system:

Referring to FIG. 2 and FIG. 3, FIG. 2 is a schematic structural diagram of a pulse information detecting apparatus in Embodiment 2 of the cloud communication system of the present application, and FIG. 3 is a waveform diagram of pressure sensitive to the pressure sensor during the pressing process of the embodiment shown in FIG. . The communication system includes the cloud server and the pulse information detecting device in the foregoing embodiment, and the specific pulse information detecting device 210 includes a pressure sensor 211, an elastic gas 2111 disposed on the outer circumference of the pressure sensor 211, a communication module 212, and the The pressure sensor 211 and the communication module 212 are electrically connected to the processor 213.

In particular, the elastic balloon 2111 is used to at least partially contact the position of the artery of the human limb. When the elastic gas cylinder 2111 is squeezed by the artery position, it is elastically deformed, causing a change in the gas pressure in the sealed space, and the pressure sensor 211 indirectly measures the pressure of the artery position by sensing the value of the gas pressure. Preferably, the elastic gas cylinder 2111 has a convex hemispherical shape so as to be able to position the artery with the human limb. Good contact, of course, the shape of the elastic gas 嚢 2111 is not limited to this, and it can function well with the human wrist arteries. Further, the elastic gas cylinder 2111 is made of a soft material such as rubber.

Since the contact area of the elastic gas cylinder 2111 and the wrist is 4 ,, for example, the contact area is 5 to 10 mm circumferential area, preferably 8 mm, and the force of the pressure sensor 211 is only related to the pressure in the elastic gas 嚢 111, and the elastic gas The position of the surface of the 嚢2111 is independent of the force, so it is not sensitive to the measurement of the accuracy of the position of the artery, and is not sensitive to small changes in the measurement posture. In other words, when measuring, it is not required that the force must act on the geometric center line of the pressure sensor 211 as long as the elastic gas 嚢 2111 outside the pressure sensor 211 can contact the position of the artery, that is, the position of the force. The angle is not strictly required. This can reduce the operational requirements for the user while ensuring measurement accuracy.

Specifically, when performing pulse information measurement, the pulse information detecting device 210 is sleeved on the user's limb, and the elastic gas ridge 2111 and the body position of the human body (ie, the soft tissue of the human epidermis at the arterial position, such as the soft tissue of the human epidermis of the radial artery) Close to touch. When the user presses the pulse information detecting device, the pressure sensor 211 senses the pressure F ₂ transmitted to the artery position through the elastic balloon 2111, wherein the pressure F _{2 is} specifically the resultant force of the pressing force of the pressing force and the pulse pressure of the arterial position.

For example, the user holds the pulse information detecting device 210 for a few seconds, wherein during the pressing process, the pressure value changes from small to large, and then changes from large to small, so that the blood flow of the user's limb artery is smoothed to blocked, and then From blocking to smooth. During the hand pressing process, the processor 213 samples the pressure F ₂ detected by the pressure sensor 211 a plurality of times, and all the pressure values from the sample form a continuous pressure signal (0. Since the whole process is pressed, the arterial position blood The flow experienced a smooth flow to block, and then from block to smooth. During the pressure increase and decrease, the pressure was equal to the systolic pressure F _D and the diastolic pressure F _s (pressure shown in Figure 3). In the process of tl, t2, t3, t4) during the depressurization process, the blood pressure value can be calculated from the pressure signal of the pressurization or depressurization process alone, or two sets of blood pressure values can be obtained according to the two processes of pressurization and depressurization respectively. A more accurate blood pressure value is obtained from the two sets of blood pressure values. The processor 213 is based on the pressure signal F ₂ during the increase and/or decrease of the pressing force (0, using the waveform characteristic method or the amplitude coefficient method from the pressure signal The systolic blood pressure and the diastolic blood pressure of the measured human body are determined. It should be noted that the waveform characteristic method discriminates blood pressure by recognizing the waveform characteristics of the pressure wave at the systolic pressure and the diastolic pressure, and the amplitude coefficient method passes the determination. Determine and identify the relationship between the systolic pressure amplitude, the amplitude of the diastolic pressure and the maximum amplitude to discriminate blood pressure. Since the systolic blood pressure and the diastolic blood pressure obtained by specifically obtaining the arterial position pressure signal during pressing are prior art, they are not specifically described herein.

Preferably, in the embodiment, the pressure sensor uses a higher sensitivity pressure sensor, such as a silicon piezoresistive pressure sensor, and the silicon piezoresistive pressure sensor includes a silicon bridge, a micromechanical structure, an ADC circuit, and a temperature sensing structure. And the serial interface and the like, the specific principles and working processes are well known to those skilled in the art, and are not described herein again. The pressure sensor is small in size, for example, it can be less than 9 x 9mm. Alternatively, in another embodiment requiring a compact size, the pressure sensor can employ a pressure sensor with a smaller installation size to make the overall structure of the pulse information detecting device smaller and more portable, such as a membrane piezoresistive pressure sensor. The mounting size can be less than 6 x 6mm. In addition, it is also possible to customize a smaller size pressure sensor in accordance with the needs of embodiments of the present invention.

Different from the traditional air pump type blood pressure detecting device, the present application obtains an accurate pressure signal through the elastic gas of the peripheral, so that it takes no time to obtain an accurate blood pressure value in a few seconds. In addition, in the case where the pressing force is increased (pressurized) and decreased (depressed) during the hand, the pressing force is equal to the systolic or diastolic pressure, and the present application does not require the air pump to apply air pressure, so the application can select plus One of the processes of pressure or blood pressure measures blood pressure, or both pressure and decompression processes can be used to measure the blood pressure values on both sides, and the blood pressure value is obtained by the average value. Embodiment 3 of the cloud communication system:

Referring to FIG. 4, FIG. 4 is a schematic structural diagram of Embodiment 3 of the cloud communication system of the present application. The pressure sensor in the pulse information detecting device 410 in this embodiment includes an upper pressure sensor 4101 and a lower pressure sensor 4102, and the elastic gas specifically includes a lower elastic gas 嚢 4112.

Specifically, the upper pressure sensor 4101 and the lower pressure sensor 4102 are disposed opposite to each other and are electrically connected to the processor 413, respectively. The lower pressure sensor 4102 is circumferentially provided with a closed lower elastic air enthalpy 4112, and an external pressure is detected by the lower elastic air enthalpy 4112. When the blood pressure measurement is performed, when the user presses the pulse information detecting device 410, the upper pressure sensor 4101 and the lower pressure sensor 4102 respectively measure the pressure F ₂ from the pressing force A (referred to as the upper pressure) and from the artery position (referred to as lower pressure). The pressure F _{2 of the} position of the artery during pressing is specifically the combined force of the reaction force of the pressure and the pulse pressure of the artery position.

The processor 413 synchronously acquires the upper pressure output from the upper pressure sensor 4101 and the lower pressure output from the lower pressure sensor 4102 during the pressing process and the hand pressing pressure increase and/or decrease, and obtains continuous upper and lower pressure signals. The processor 413 calculates the systolic and diastolic pressures of the arterial position based on the difference or ratio between the lower pressure signal and the upper pressure signal. For example, when the user holds the pulse information detecting device 410, the processor 413 obtains a continuous upper pressure signal and a lower pressure signal by multiple synchronizations during the hand pressure increase. The processor 413 obtains two times when the difference between the lower and upper pressure signals is closest to 0 or the ratio is closest to 1 during the increase of the grip pressure (as shown in FIG. 3 and time t1, 12). The two upper pressure values, the larger of the two upper pressure values as the systolic blood pressure of the arterial position, are less worthy of being the diastolic pressure of the arterial position. It should be noted that, in the present application, the blood pressure value is obtained by using the method in which the difference is closest to 0 or the ratio is the closest to 1. The other embodiments of the present application may also use other existing arteries according to compression. The method of obtaining the blood pressure value by the positional pressure is not limited herein.

Of course, in another embodiment, after the processor acquires the difference or ratio between the pressures detected by the upper and lower pressure sensors, directly outputting the difference or the ratio, that is, the pulse instantaneous waveform of the artery position, to the display. Or sent to a terminal capable of communicating with the pulse information detecting device for the user or the terminal to compare, analyze and evaluate the pulse waveform of the arterial position.

In other embodiments, the upper and lower pressure sensors can respectively use different types of pressure sensors. For example, the lower pressure sensor uses a silicon piezoresistive sensor. Because of its high sensitivity, a lower elastic gas is disposed on the outside. The pressure value is detected by the change of the internal air pressure of the lower elastic gas, and the upper pressure sensor can use other types of pressure sensors, such as a column pressure sensor, etc., the external can be provided without elastic gas, and the direct sensitive application pressure. Which type of upper and lower pressure sensors are used is not limited here. The pulse information detecting device of this embodiment can accurately measure the blood pressure parameter of the human body by utilizing the mutual correction of the upper and lower pressure sensors while utilizing the property that the elastic gas is insensitive to the position and direction of the force.

In another further optimized embodiment, the pulse information detecting device in this embodiment may further include an upper elastic air jacket disposed on an outer circumference of the upper pressure sensor, and the upper pressure sensor is sealed in the upper elastic air chamber. The material of the upper elastic gas, the structure and the cooperation principle with the upper pressure sensor are the same as those of the lower elastic gas, and will not be described in detail here.

It is worth mentioning that the elastic coefficient of the upper elastic gas can be larger than the elastic coefficient of the lower elastic gas, and the dynamic response ratio of the upper elastic sensor with the elastic coefficient is large. The lower pressure sensor with a lower elastic modulus with a small elastic modulus is low. The upper and lower pressure sensors are equipped with elastic air rafts, which can make the measurement data of the upper pressure sensor more accurate, and also protect the upper pressure sensor.

Different from the traditional oscillometric method, a lot of calculations are needed to indirectly obtain blood pressure. This application can directly measure the blood pressure value by using a sufficiently sensitive pressure sensor and the above simple algorithm, which greatly reduces the calculation amount and calculation time, and is established in a large amount. On the experimental data, the obtained blood pressure value is relatively accurate, which is a major innovation in the field of blood pressure measurement. At the same time, the traditional oscillometric method takes a long time to obtain a large number of pulse signals, ensuring the accuracy of the envelope normalized from the pulse signal. However, the method of directly obtaining the blood pressure value in the above application completely deviates from the envelope, so that it does not take too much time, and it takes only a few seconds to obtain an accurate blood pressure value. Embodiment 4 of the cloud communication system:

Referring to FIG. 5, FIG. 5 is a schematic structural diagram of a pulse information detecting apparatus in Embodiment 4 of the cloud communication system of the present application. Optimized in the third embodiment, the pressure sensor in the pulse information detecting device specifically includes a first lower pressure sensor, a second lower pressure sensor, and a third lower pressure sensor, and a total of three lower pressure sensors 5102, and the elastic gas includes the first lower elasticity. The gas enthalpy, the second lower elastic gas enthalpy, and the third lower elastic gas enthalpy have a total of three elastic gas enthalpies 5112. Specifically, the first, second, and third lower pressure sensors 5102 are spaced apart and respectively correspond to three pulse positions of the body, the inch, the foot, and the foot, and the three pressure sensors are independent of each other. Specifically, three lower pressure sensors 5102 are disposed on the circuit board, and in order to ensure the independence of the pressure sensor, a dividing line is formed between adjacent pressure sensors on the circuit board.

The processor 513 is electrically connected to the first, second, and third pressure sensors, respectively, and performs pulse analysis based on the pressures measured by the first, second, and third lower pressure sensors 5102.

During the measurement, the pulse information detecting device is sleeved on the left wrist of the human body, so that the three lower elastic air bubbles are respectively in contact with the inch, the off, and the pulse position of the left wrist of the human body, and the pulse information detecting device is received as the user presses. Or when the pulse information detecting device wears the generated pressure, the three lower pressure sensors are respectively sensitive to the pulse force of the inch, the off, and the pulse position of the left wrist. The processor 513 synchronously acquires the pressures of the first, second, and third pressure sensors respectively detecting the left wrist, the closed, and the pulse position of the user, and obtains that the first pressure sensor detects the left wrist during the receiving pressing pressure. a continuous first left lower pressure signal generated by the pulse position, a second second lower pressure signal generated by the second pressure sensor detecting the left wrist off pulse position, and a third continuous third third pressure sensor detecting the left wrist radius Lower left pressure signal. Similarly, the pulse information detecting device is sleeved on the right wrist, and the processor 513 synchronously acquires the first, second, and third pressure sensors during the process of the pulse information detecting device being worn on the right wrist and receiving external pressure. To the pressure of the user's right wrist, inch, and pulse position, a continuous first right lower pressure signal, a second lower right pressure signal, and a third lower right pressure signal are obtained.

The processor 513 performs pulse analysis on the first left lower pressure signal, the second lower left pressure signal, the third lower right pressure signal, the first lower right pressure signal, the second right lower pressure signal, and the third lower right pressure signal to obtain a pulse image. information. For example, the processor 513 obtains 36 combined relative pulse pressure signals by different ratio methods based on the pressure signals measured by the first, second, and third lower pressure sensors, and further data analysis of the 36 combined relative pulse pressure signals. Identify and classify the type of pulse data, perform intelligent comparisons, obtain 16 or 28 types of pulse, and obtain pulse analysis results.

The present application innovatively uses three pressure sensors to obtain different pulse images by analyzing pulse curves of different combinations, which is easier than the existing pulse measuring instrument, and uses a relative value algorithm to make the measured results opponents. The difference in the method of holding the pressure, as well as the pressure disturbances in the measurement, are not sensitive, and the differences and disturbances can be offset or homogenized by the numerator and denominator of the relative data. It should be noted that, in other embodiments, the second, third, and fourth embodiments may be combined according to the functional requirements of the pulse information detecting device.

Optionally, since the change of the pulse pressure is periodic and the period is equal to the heartbeat period, the pulse information detecting apparatus of the embodiment may obtain the period of the pulse pressure signal as the heartbeat after acquiring the pulse pressure signal during the unpressing process. The cycle, in which the heartbeat cycle is counted down, the average heart rate is obtained. Embodiment 5 of the cloud communication system:

As a further development of the foregoing embodiment, the pulse information detecting apparatus in the cloud communication system may further include one or more of a display, an operation key, a voice prompt module communication module, an I/O interface, and a housing that are both connected to the processor. item.

Preferably, the pulse information detecting device in the above embodiment can be disposed on the wristband as a smart wristband to facilitate the user to wear and measure the pulse information in real time. Specifically, the wristband can be a rubber band loop, an elastic fiber cloth wristband, a metal bracelet or a leather strap, and the wristband and the pulse information detecting device can be bundled or snap-fitted. Or hinged. Embodiment 6 of the cloud communication system:

Optimized in the above embodiment, the cloud server includes an analysis module, a save module, and the analysis module includes a comparison unit.

The data sent by the cloud server to the pulse information detecting device further includes user information, and the cloud server sends the human body pulse information and the user information to the comparison unit of the saving module and the analyzing module.

The saving module is configured to archive the human pulse information according to the user information. For example, the cloud server receives the data packet sent by the pulse information detecting device through the wireless network, and determines whether the file of the pulse information detecting device is in the local database according to the user information in the data packet, such as the account registered by the user, and if so, The human body pulse information sent by the pulse information detecting device is stored in the file, and if not, the file of the pulse information detecting device is established according to the user information, and the human pulse information is saved in the newly created file, so as to facilitate the Pulse information detection device user's sound history Model.

The comparison unit is configured to compare the body pulse information with a plurality of pre-established feature models to obtain a feature model that matches the body pulse information as a physical condition model of the user. For example, the cloud server stores a feature model established by corresponding human body pulse information under different physical conditions, such as a delayed pulse established by a pulsed main disease table: a cold syndrome, a strong cold, a powerless cold; a number of pulses: heat syndrome , strong heat, powerless heat; slippery pulse: main sputum, main pregnancy and other characteristic models, the pulse information sent by the pulse information detection device and the human pulse in different feature models - comparison, obtained The feature model of the pulse information of the user of the pulse information detecting device matches, and the physical condition model of the user is obtained from the data describing the physical condition feature in the feature model.

Optionally, the analysis module further includes a feedback unit that feeds back the physical condition model obtained by the comparison unit to the pulse information detecting device, so that the user can know the current physical condition. For example, after the comparison unit compares the pulse information to obtain the body condition model, the feedback unit feeds back the analysis result to the detecting device based on the network address of the detecting device in the received data packet.

Preferably, the analysis module further comprises a search unit, the search unit is configured to search for the suggestion information matching the physical condition model according to the physical condition model obtained by the comparison unit, and optionally send the suggestion information to user. For example, if the cloud server obtains the user's physical condition as high blood pressure, the local database and/or the Internet search for the recommended information for the hypertension, such as eating more celery, reducing blood pressure, usually paying attention to emotional management, and not more than excitement. The recommendation information is sent to the pulse information detecting device to implement intelligent advice to the user. For some elderly people who do not use the Internet, wearing the pulse information detection device, they can directly understand the physical condition and get a normal response, which is fully intelligent and brings great convenience.

Optimizedly, the cloud server also includes a correction module.

The cloud server is further configured to receive actual feedback of the user's physical condition sent by the pulse information detecting device, and send the result to the correction module. The correction module is configured to correct the feature model according to actual feedback of the user on the physical condition. For example, the cloud server obtains the user's physical condition as a heat certificate according to the human body pulse information analysis, and the user passes the pulse information detecting device or other user information and the cloud. The mobile terminal that establishes the connection between the server sends the actual feedback of the current physical condition to the cloud server, such as a doctor's diagnosis or a prescription prescribed by the doctor. After receiving the feedback of the actual situation of the body, the cloud server receives the feedback and the last time according to the user's pulse. The physical condition model obtained by the information is adaptively learned to correct the corresponding parameter information for the feature model describing the physical condition model.

Optimizedly, the cloud server also includes a prediction module.

The prediction module is configured to perform machine learning on the physical condition model of the user that the unit has obtained to predict a physical condition model of the user and feed back to the pulse information detecting device. For example, the prediction module performs machine learning on a physical condition model determined according to human body pulse information generated by the user in the past month to predict a physical condition model that is most likely to match the future trend of the user's physical condition, and sends it to the pulse information detection. Device to remind the user.

Optimizedly, the cloud server also includes an alert module.

The alarm module is configured to determine whether the body pulse information received by the cloud server belongs to the abnormal pulse information, and when the abnormal pulse information is included, the cloud server sends the alarm information to the pulse information detecting device, and further, may further The preset third party device sends the alarm information, wherein the abnormal pulse information is pulse information reflecting a physical abnormality. For example, if the alarm module determines that the hypertension value sent by the pulse information detecting device belongs to the abnormal high blood pressure range, it sends help information to the terminal of the preset third party, such as making a call to the hospital or the preset family member, etc., to avoid abnormality of the user's body. It is not possible to ask for help on your own.

Optimizedly, the cloud server also includes a query module.

The query module is configured to: when the cloud server receives the query instruction of the pulse information detecting device, obtain relevant information of the user to be queried according to the query instruction, such as human body pulse information and/or physical condition analysis result, and feed back The pulse information detecting device or other terminal that uses the user information to establish a connection with the cloud server.

It should be noted that, in other embodiments, one or more of the above modules or units may be configured for the cloud server according to the functional requirements, which is not specifically limited herein.

Further, in order to reduce the workload of the pulse information detecting device, the pulse information detecting device can directly The pressure sensed by the obtained pressure sensor is sent to the cloud server, and the cloud server performs the method of calculating the pulse information of the human body according to the pressure detection signal as described above, obtains the pulse information of the human body, and performs the above physical condition analysis on the pulse information of the human body. . Due to the fast computing speed of the cloud server, the measurement efficiency can be improved, and the pulse information detecting device can reduce the workload by a very large amount, and the volume can be made smaller. Embodiment 7 of the cloud communication system:

Please refer to FIG. 6. FIG. 6 is a schematic structural diagram of Embodiment 7 of the cloud communication system of the present application. In this embodiment, the communication system includes a pulse information detecting device 610, a mobile terminal 630, and a cloud server 620. The cloud server 620 is different from the detecting device in the above embodiment in the above embodiment. The module is specifically a first short-range communication module 612. The processor 613 directly transmits the pressure detected by the pressure sensor to the mobile terminal 630 through the first short-range communication module 612. The mobile terminal 630 includes a second short-range communication module 631, a processing module 632, and a network access module 633.

Specifically, the first and second short-range communication modules may be communication modules such as Bluetooth, infrared, near field communication NFC, or wireless high-fidelity wifi, so as to implement short-distance communication between the pulse information detecting device and the mobile terminal.

The processing module 632 is configured to: when the cloud server 620 receives the pressure detected by the pressure sensor during the receiving of the pressing force, the cloud server 620 calculates the body pulse information according to the pressure detected by the pressure sensor, where the specific calculation is performed. For the manner, please refer to the calculation method of the processor of the pulse information detecting device in the above embodiment, and details are not described herein. In addition, the human body pulse information may also be a pulse instantaneous waveform of an arterial position, and the pressure sensor in another pulse information detecting device includes an upper pressure sensor disposed back to back and a lower pressure sensor having a lower elastic air pocket disposed on the outer circumference. In the example, the pulse information detecting device obtains a pulse instantaneous waveform of the artery position, that is, the arterial position, after the pressure or the ratio of the pressure is detected by the lower and upper pressure sensors during the pressure receiving process. a pulse pressure signal, the pulse information detecting device transmitting a pulse instantaneous waveform of the artery position to the mobile terminal, to display a pulse waveform of the artery position to the user through the mobile terminal, the user or The mobile terminal compares, analyzes, and evaluates information such as the amplitude, phase, and frequency of the pulse waveform of the artery to obtain an internal state of the artery position, and more preferably, presses the pulse information detecting device at different arterial positions. The pulse waveforms of different arterial positions are obtained, and the mobile terminal analyzes parameters of the pulse waveforms of different arterial positions such as amplitude, phase, and frequency to obtain a human condition. Specifically, the network access module 633 can establish a connection with the cloud server by using a network access mode such as an Ethernet or a wireless local area network, for example, the mobile terminal has a built-in wireless network card, an Ethernet access port, or a SIM card slot, and enters through WLAN, plug in an Ethernet plug, or plug in a SIM card for network access.

Since the calculation speed of the mobile terminal is fast, the measurement efficiency can be improved, and the pulse information detecting device reduces the amount of work, and the volume can be made smaller.

It should be noted that the process of calculating the pulse information of the human body by using the signal detected by the pressure sensor may be implemented by a processor in the pulse information detecting device in the communication system or a processing module in the cloud server according to an actual situation, and moved. The terminal is only used as a forwarding node, and the pressure or the human body pulse information sent by the pulse information detecting device is forwarded to the cloud server. For the specific embodiment, reference may be made to the above embodiment, and details are not described herein. Embodiment 1 of the human body health data cloud processing method:

Please refer to FIG. 7, FIG. 7 is a flow chart of Embodiment 1 of the applicant's body health data cloud processing. The pulse information detecting device in this embodiment is the pulse information detecting device as described in the above embodiments, and will not be described herein. The human body health data cloud processing method includes the following steps:

Step S701: The pulse information detecting device worn on the limb of the user receives an external pressing force.

For example, the user sets the pulse information detecting device 100 on the limb of the user, so that the elastic gas of the pulse information detecting device is at least partially in contact with the artery position of the wrist, and the pulse information detecting device is pressed by hand for several seconds, such as 4~ 10 seconds, preferably 6 seconds. When measuring the blood pressure information of the human body, the pressing pressure of the hand is first to small, and then from large to small, so that the blood flow of the artery is from smooth to blocked, and from blocking to smooth, ensuring that the user can be measured. Blood pressure value. When pressed, the pressure sensor is sleeved through the periphery The elastic gas squeezes the position of the artery of the human limb, causing the arterial position to exert pressure on the elastic gas. Step S702: The pressure sensor of the pulse information detecting device continuously detects the pressure of the artery position of the user's limb through the elastic gas entangled in the outer circumference.

The pressure sensor is sensitive to the downforce from the position of the artery during the pressing process, wherein the downforce is the resultant of the reaction force of the hand pressing force and the pulse pressure.

Step S703: The pulse information detecting device calculates the human body pulse information according to the pressure detected by the pressure sensor, and sends the human body pulse information to the cloud server.

For example, the processor in the pulse information detecting device acquires a pressure signal outputted by the pressure sensor during the pressure increase and/or decrease d, and determines the human body of the measure from the pressure signal by using a waveform characteristic method or an amplitude coefficient method. Systolic and diastolic pressures are sent to the cloud server. In this embodiment, the specific method for the processor to determine the blood pressure value according to the pressure signal is: the processor acquires the pressure signal obtained during the pressing increase or decrease, according to the pressurization or depressurization process The waveforms of the obtained pressure signals respectively establish an upper envelope, a baseline and a lower envelope; the processor finds a first inflection point and a second inflection point of the lower envelope and the baseline, and the first inflection point corresponds to a pressure signal The maximum value is used as the arterial position systolic pressure, and the maximum value of the second inflection point corresponding to the pressure signal is taken as the arterial position diastolic pressure. The processor then converts the measured blood pressure value to the high and low blood pressure values of the heart based on the ratio of blood pressure between the heart and the artery. Since the blood pressure conversion between the wrist and the heart is common knowledge in the art, it will not be specifically described, and in the following embodiment, after obtaining the high and low blood values measured at the arterial position, the conversion to the high and low blood pressure values at the heart is performed by default. step.

It should be noted that, when measuring blood pressure, in order to make the measured pressure signal more accurate, the sampling period of the processor is set to milliseconds (ms), for example, l~10ms, preferably 2ms, and the time of the hand pressure is More than 4 seconds, for example, 6s, then each pressure value has 6000/2=3000 points in the curve of the pressing process, during which at least 3-6 complete heartbeat cycles are experienced, and each heartbeat period has at least 500. A sample of data greatly improves the accuracy of each heartbeat signal, so that only the 3 to 6 heartbeat signals can be used to accurately calculate the actual heartbeat cycle or blood pressure. It can be seen that the measurement time of the 6s of the present application is several hundred seconds shorter than the conventional method, and is shortened by several times. Step S704: The cloud server receives the human body pulse information sent by the pulse information detecting device.

The cloud server and the pulse information detecting device can be connected through Ethernet, a wireless local area network, etc., to implement information interaction. After the connection is established, the cloud server receives the human body pulse information sent by the pulse information detecting device.

Step S705: The cloud server analyzes the physical condition of the user according to the human body pulse information. For example, the cloud server compares the human body pulse information with the feature data preset in the local database to obtain feature data that matches the body pulse information, and the body condition model is established from the feature data. Embodiment 2 of the human body health data cloud processing method:

Please refer to FIG. 8. FIG. 8 is a flowchart of Embodiment 2 of the method for processing body health data in the applicant. The pulse information detecting apparatus of this embodiment is specifically the pulse information detecting apparatus described in the above embodiments, and can be used for measuring human body parameters such as pulse and blood pressure. The specific structure is as described above, and will not be described herein. The method for processing the human health data cloud includes the following steps:

Step S801: The pulse information detecting device worn on the limb of the user receives an external pressing force, wherein the pulse information detecting device is provided with a back-to-back upper pressure sensor and a lower pressure sensor with a lower elastic air pocket on the outer circumference, The lower pressure sensor compresses the position of the artery of the human limb through the lower elastic air jacket that is sheathed around the outer circumference.

In this embodiment, the pulse information of the human body detected by the pulse information detecting device is human body systolic pressure and diastolic blood pressure. For example, the measurer touches the lower elastic gas of the pulse information detecting device at least partially with the position of the artery of the wrist to ensure that the lower pressure sensor can sense the pressure generated by the position of the artery through the lower elastic gas, and press the upper pressure. The sensor is a few seconds. The upper pressure generated by the pressing is from small to large, and then from large to small, the blood flow of the artery of the wrist is smoothed to blocked, and then blocked to unblocked, ensuring that the height and low blood pressure of the measurer can be measured. When pressed, the lower pressure sensor compresses the position of the artery of the human limb by the lower elastic air pocket that is sheathed around the outer circumference, so that the arterial position generates a downward pressure.

Step S802: The upper pressure sensor detects an external pressing force, and the lower pressure sensor The pressure at the location of the artery is detected by the lower elastic gas.

The upper and lower pressure sensors are respectively sensitive to the downward pressure from the pressing and the downward pressure of the arterial position during the pressing, wherein the lowering pressure is the resultant of the reaction force of the upper pressure and the pulse pressure.

Step S803: The pulse information detecting device calculates the human systolic blood pressure and the diastolic blood pressure according to the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force, and transmits the systolic blood pressure and the diastolic blood pressure to the cloud server.

According to a large amount of experimental data, when the pressure of the hand is from small to large, and then from large to small, when the pressure of the hand gradually increases to the systolic pressure (hypertension value), the blood flow of the wrist artery changes from smooth to smooth. In the blocked state, the blood pressure is 0, that is, the lower pressure sensor senses that the pulse pressure is 0; when the hand pressing pressure is gradually reduced from large to systolic pressure, the blood flow of the wrist artery is blocked again. Smooth, until the pressure of the hand is reduced to the diastolic pressure (hypotension), the lower pressure sensor senses that the pulse pressure is also 0. The combination of theory and experiment reveals that the lower pressure sensor senses in addition to the above two cases. The pulse pressure is not zero.

Based on the results of the above experimental analysis, the processor acquires two moments when the difference between the lower pressure signal and the upper pressure signal is closest to 0 or the ratio is closest to 1 during the increase and/or decrease of the grip pressure. Corresponding two upper pressure values, the larger of the two upper pressure values is taken as the systolic blood pressure of the artery position, and the smaller is worth the tension of the artery position, and is sent to the cloud server.

Step S804: The cloud server receives the human body pulse information sent by the pulse information detecting device.

Step S805: The cloud server receives the human body pulse information sent by the pulse information detecting device. Embodiment 3 of the human body health data cloud processing method:

Please refer to FIG. 9, FIG. 9 is a flowchart of Embodiment 3 of the method for processing body health data in the applicant. The pulse information detecting device in this embodiment is the pulse information detecting device as described in the above embodiment, and will not be described herein. The human body health data cloud processing method includes the following steps:

Step S901: The pulse information detecting device worn on the limb of the user receives an external pressing force, and the pressure sensor includes a plurality of lower pressure sensors of the first, second, and third lower pressure sensors arranged at intervals, the first and the third Second, the third lower pressure sensor is provided with an elastic gas raft on the outer circumference, and Wherein, the external pressing force may be from a user's hand pressing, the device's own gravity or the pressure of the configured wristband.

Step S902: The three lower pressure sensors respectively detect the pressures of the three arterial positions of the user's limbs, inches, and feet.

Step S903: The pulse information detecting device performs pulse image analysis according to the pressure detected by the three lower pressure sensors to obtain human body pulse information.

Specifically, in order to obtain a more accurate pulse analysis, the user separately obtains the pressures of the three arterial positions of the inch, the off, and the foot detected by the three lower pressure sensors when the pulse information detecting device wears the left and right wrists and receives the external pressure. Among them, the pressure of the three arterial positions of the inch, the off, and the foot when wearing the left wrist is the three lower left pressure signals, and the pressures of the three arterial positions of the inch, the off, and the foot when wearing the right wrist are the three right lower pressure signals. . The pulse information detecting means performs pulse analysis based on the three lower left pressure signals and the three right lower pressure signals to obtain pulse information. For example, the processor obtains 36 combined combined pulse pressure signals according to different ratio signals by three lower left pressure signals and three lower right pressure signals, and further data of 36 combined relative pulse pressure signals. Analyze, identify, and classify the type of pulse data, perform intelligent comparisons, and obtain 16 or 28 pulse types.

Step S904: The cloud server receives the human body pulse information sent by the pulse information detecting device.

Step S905: The cloud server analyzes the physical condition of the user according to the human body pulse information. Preferably, in another embodiment, the method may further include:

The pulse information detecting device disposed on the limb of the user detects the different arterial positions by the lower elastic gas entanglement of the outer peripherally set by the pulse information detecting device when the pressing force is not received. The pressure is obtained as a continuous pulse pressure signal including at least one pulse period of each of the lower pressure sensor outputs.

The pulse information detecting device calculates the attenuation relationship between the arterial position blood pressure and the distance between the artery position and the heart according to the peak distance of the pulse pressure signals output by at least two of the lower pressure sensors. The pulse information detecting means calculates the systolic blood pressure and the diastolic pressure of the corresponding arterial position of the pressure sensor based on the pressure outputted by the lower pressure sensor during the process of receiving the pressing force of the hand. The specific method of the blood pressure value calculated by the pulse information detecting device based on the pressure outputted by the pressure sensor during the pressing process is as described in the above embodiment, and will not be repeatedly described herein.

The pulse information detecting means obtains the systolic blood pressure and the diastolic blood pressure of the heart based on the attenuation relationship, the systolic blood pressure and the diastolic blood pressure of the corresponding arterial position.

Different from the prior art, the arterial position blood pressure is obtained, and the fixed preset value is converted into the blood pressure value of the heart. In this embodiment, the pulse pressure signal is acquired when the pressure is not received, thereby dynamically calculating the blood pressure of the artery at the heart. The attenuation relationship can flexibly derive the attenuation relationship between the position of each human artery and the blood pressure of the heart, making the measurement result more accurate. Embodiment 4 of the human body health data cloud processing method:

Referring to FIG. 10, FIG. 10 is a partial flow chart of Embodiment 4 of the body health data cloud processing method of the applicant. The pulse information detecting device in this embodiment is the pulse information detecting device as described in the above embodiments, and details are not described herein. After the pulse information detecting device obtains the body pulse information as in the above embodiment, the method further includes the following steps:

Step S1001: The pulse information detecting device packages and transmits the human body pulse information and the user information to the cloud server.

Step S1002: The cloud server receives the human body pulse information and the user information, and archives the human body pulse information according to the user information.

Step S1003: The cloud server compares the human body pulse information with a pre-established feature model, and obtains a feature model that matches the human body pulse information as a physical condition model of the user.

Optionally, the cloud server feeds back the obtained physical condition model to the pulse information detecting device, so that the user can know the current physical condition.

Optionally, the cloud server searches for the suggestion information that matches the physical condition model according to the physical condition model obtained by the analysis, and optionally sends the suggestion information to the user. Step S1004: The cloud server corrects the feature model according to actual feedback of the physical condition.

When the pulse information detecting device or the mobile terminal obtains actual feedback of the user's physical condition, the actual feedback of the physical condition is sent to the cloud server, and the cloud server corrects the locally stored feature model according to the actual feedback.

Optionally, the cloud server performs machine learning on the obtained physical condition model of the user to predict the physical condition model of the user, and feeds back to the pulse information detecting device or other user information to establish with the cloud server. Connected mobile terminal.

Step S1005: The cloud server determines whether the human body pulse information belongs to abnormal pulse information, where the abnormal pulse information is pulse information reflecting a physical abnormality;

Step S1006: If yes, the alarm information is sent to the pulse information detecting device or the mobile terminal. Step S1007: If the cloud server receives the query instruction, send the queried human pulse information and/or the physical condition analysis result to the mobile terminal according to the query instruction.

For example, the user queries the cloud server for the related information of the user through the pulse information detecting device or the mobile terminal, and the cloud server acquires the information of the user according to the query instruction and feeds back to the pulse information detecting device or the mobile terminal.

It should be noted that the foregoing steps S1001 to S1010 are optional steps of the present application. In other embodiments, the foregoing steps may be performed according to the functional requirements, and are not specifically limited herein.

In another embodiment, the pulse information detecting device can directly send the pressure sensed by the obtained pressure sensor to the cloud server, and the cloud server performs the method step of calculating the pulse information of the human body according to the pressure detecting signal as described above, and obtains the human body. The pulse information is subjected to the above physical condition analysis of the human body pulse information.

In still another embodiment, the pulse information detecting device is connected to the cloud server by using the mobile terminal as a forwarding node, for example: (1) the pulse information detecting device calculates the body pulse information according to the pressure detected by the pressure sensor, and sends the pulse information to the human body. a mobile terminal, the mobile terminal forwarding the pulse information of the human body to the cloud server; or (2) detecting the pulse information detecting device according to the pressure sensor The pressure is sent to the mobile terminal, and the mobile terminal calculates the body pulse information according to the pressure detected by the pressure sensor, and then forwards the body pulse information to the cloud server; or (3) the pulse information detecting device detects the pressure according to the pressure sensor The mobile terminal sends the pressure detected by the pressure sensor to the cloud server, and the cloud server calculates the pulse information of the human body according to the pressure detected by the pressure sensor. Mobile terminal embodiment:

The present application is also provided with an embodiment of a mobile terminal, where the mobile terminal is the mobile terminal in the above embodiment. For details, refer to the description of the above embodiment, and no further details are provided herein.

Through the above scheme, the pulse information detecting device of the present application does not need to be inflated, greatly reduces the volume and weight, and has small measurement error, and has very good convenience and real-time performance. Real-time remote monitoring can be realized by forming a cloud communication system with the pulse information detecting device and the cloud server. Further, since the detecting device of the present application is light and can be set as a wrist-worn type, real-time detection of the pulse and blood pressure of the human body can be realized, and an intelligent monitoring system is formed by connecting with the terminal or the server, thereby realizing intelligence for measuring, tracking and diagnosing the human body parameters. Integration.

The above is only one embodiment of the present invention, and is not intended to limit the scope of the present invention. Any equivalent device or equivalent process transformation made by using the present specification and the contents of the drawings may be directly or indirectly applied to other related The technical field is equally included in the scope of patent protection of the present invention.

Claims

Rights request

1. A human health data cloud processing method, characterized by including the following steps: The pulse information detection device worn on the user's limb receives external pressing force;

The pressure sensor of the pulse information detection device continuously detects the pressure of the arterial position of the user's limb through the elastic gasket set on the periphery;

The pulse information detection device calculates and obtains human body pulse information based on the pressure detected by the pressure sensor, and sends the human body pulse information to the cloud server;

The cloud server receives the human body pulse information sent by the pulse information detection device;

The cloud server analyzes the user's physical condition based on the human body pulse information.

2. The method according to claim 1, wherein the step of receiving external pressing force by the pulse information detection device worn on the user's limb includes:

The pulse information detection device worn on the user's limb receives external pressing force, causing the arterial blood flow of the user's limb to change from unobstructed to blocked, and then from blocked to unblocked.

3. The method according to claim 1 or 2, characterized in that:

The steps of the pulse information detection device calculating the human body pulse information based on the pressure detected by the pressure sensor and sending it to the cloud server include:

The pulse information detection device calculates the human pulse information based on the pressure detected by the pressure sensor and sends it to the mobile terminal. The mobile terminal then forwards the human pulse information to the cloud server.

4. The method according to any one of claims 1 to 3, characterized in that:

The pressure sensor includes an upper pressure sensor arranged back-to-back and a lower pressure sensor with a lower elastic gasket on the periphery. The human body pulse information includes the instantaneous pulse waveform of the artery position,

The step of the pressure sensor of the pulse information detection device continuously detecting the pressure of the arterial position of the user's limb through the elastic gasket set peripherally includes:

The upper pressure sensor detects the external pressing force, and the lower pressure sensor detects the pressure at the artery position through the lower elastic balloon; The steps for the pulse information detection device to calculate and obtain human body pulse information based on the pressure detected by the pressure sensor include:

The pulse information detection device obtains the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force as the instantaneous pulse waveform at the artery position.

5. The method according to claim 4, characterized in that: the human body pulse information includes human body systolic blood pressure and diastolic blood pressure,

The step of obtaining the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force by the pulse information detection device as the pulse instantaneous waveform at the artery position also includes:

The pulse information detection device calculates the systolic blood pressure and diastolic blood pressure of the human body based on the difference or ratio.

6. The method according to any one of claims 1 to 5, characterized in that,

The pressure sensor includes three lower pressure sensors, each with lower elastic air bladders on the outer periphery and arranged at intervals. The arterial positions of the user's limbs include three arterial positions of the user's limbs: cun, guan, and ulna. The human body pulse information includes Human body pulse information,

The step of the pressure sensor of the pulse information detection device continuously detecting the pressure of the arterial position of the user's limb through the elastic gasket set around the periphery includes:

The three lower pressure sensors respectively detect the pressure at three arterial positions of the user's limbs: cun, guan, and chi; the steps of the pulse information detection device calculating and obtaining the human body pulse information based on the pressure detected by the pressure sensor include:

The pulse information detection device performs pulse analysis based on the pressure detected by the three lower pressure sensors to obtain human body pulse information.

7. The method according to any one of claims 1 to 6, characterized in that the step of sending the human body pulse information to the cloud server includes:

Package the human body pulse information and user information and send them to the cloud server;

The step of the cloud server receiving the human body pulse information sent by the pulse information detection device includes: the cloud server receiving the human body pulse information and user information, and converting the human body pulse information to Archive user information as described.

8. A human health data cloud processing method, characterized by including the following steps: The pulse information detection device worn on the user's limb receives external pressing force;

The pulse information detection device sends the pressure detected by the pressure sensor to a mobile terminal; the mobile terminal calculates and obtains human body pulse information based on the pressure detected by the pressure sensor, and sends the human body pulse information to the cloud server ;

9. The method according to claim 8, characterized in that:

The upper pressure sensor detects the external pressing force, and the lower pressure sensor detects the pressure at the artery position through the lower elastic balloon;

The steps for the mobile terminal to calculate and obtain human body pulse information based on the pressure detected by the pressure sensor include:

The mobile terminal obtains the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force as the instantaneous pulse waveform at the artery position.

10. The method according to claim 9, characterized in that: the human body pulse information includes human systolic blood pressure and diastolic blood pressure,

The mobile terminal obtains the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force as the instantaneous pulse waveform of the artery position. The step further includes: The mobile terminal calculates the systolic blood pressure and diastolic blood pressure of the human body based on the difference or ratio.

11. The method according to claims 8 to 10, characterized in that,

The pressure sensor includes three lower pressure sensors with lower elastic air bladders on the outer periphery and arranged at intervals. The arterial positions of the user's limbs include three arterial positions of the user's limbs: cun, guan and ulna. The human body pulse information includes Human body pulse information,

The three lower pressure sensors respectively detect the pressure at three arterial positions of the user's limbs: cun, guan, and chi. The steps for the mobile terminal to calculate and obtain human body pulse information based on the pressure detected by the pressure sensor include:

The mobile terminal performs pulse analysis based on the pressure detected by the three lower pressure sensors to obtain human body pulse information.

12. The method according to any one of claims 8 to 11, characterized in that the step of sending the human body pulse information to the cloud server includes:

The mobile terminal packages the human body pulse information and user information and sends them to the cloud server; The step of the cloud server receiving the human body pulse information sent by the pulse information detection device includes: The cloud server receives the human body pulse information and user information , and archive the human body pulse information according to the user information.

13. The method according to any one of claims 8 to 12, characterized in that the method further includes:

If the cloud server receives the query instruction, it sends the queried human pulse information and/or physical condition analysis results to the mobile terminal according to the query instruction.

14. The method according to any one of claims 8 to 15, characterized in that,

The step of analyzing the user's physical condition based on the human body pulse information includes: comparing the human body pulse information with a pre-established feature model, and obtaining a feature model that matches the human body pulse information as the user's physical condition. Model.

15. The method according to any one of claims 8 to 14, characterized in that the method further includes:

The mobile terminal obtains the user's actual feedback on the physical condition and sends the actual feedback on the physical condition to the cloud server;

The cloud server corrects the feature model based on actual feedback of the physical condition.

16. The method according to any one of claims 8 to 15, characterized in that after the step of the cloud server receiving the human body pulse information sent by the pulse information detection device, it further includes:

The cloud server determines whether the human body pulse information belongs to abnormal pulse information, wherein the abnormal pulse information is pulse information that reflects body abnormalities;

If yes, alarm information is sent to the pulse information detection device or mobile terminal.

17. A human health data cloud processing method, characterized by including the following steps: The pulse information detection device worn on the user's limb receives external pressing force;

The pulse information detection device sends the pressure detected by the pressure sensor to the cloud server;

The cloud server calculates and obtains human body pulse information based on the pressure detected by the pressure sensor;

18. The method according to claim 17, characterized in that:

The step of the pulse information detection device sending the pressure detected by the pressure sensor to the cloud server includes:

The pulse information detection device sends the pressure detected by the pressure sensor to the mobile terminal, and the mobile terminal forwards the pressure detected by the pressure sensor to the cloud server.

19. The method according to claim 17 or 18, characterized in that:

The pressure sensor includes an upper pressure sensor arranged back-to-back and a lower elastic gasket set on the outer periphery. The pressure sensor of the human body, the human body pulse information includes the pulse instantaneous waveform of the artery position, and the step of the pressure sensor of the pulse information detection device continuously detecting the pressure of the artery position of the user's limb through the elastic air bladder set on the periphery includes:

The steps for the cloud server to calculate and obtain human body pulse information based on the pressure detected by the pressure sensor include:

The cloud server obtains the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force as the instantaneous pulse waveform at the artery position.

20. The method according to claim 19, characterized in that: the human body pulse information includes human systolic blood pressure and diastolic blood pressure,

The step of obtaining the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor during the process of receiving the pressing force as the instantaneous pulse waveform of the artery position by the cloud server also includes:

The cloud server calculates the systolic blood pressure and diastolic blood pressure of the human body based on the difference or ratio.

21. The method according to any one of claims 17 to 20, characterized in that,

The three lower pressure sensors respectively detect the pressure at the three arterial positions of the user's limbs: Cun, Guan and Chi; The steps for the cloud server to calculate and obtain the human body pulse information based on the pressure detected by the pressure sensor include:

The cloud server performs pulse analysis based on the pressure detected by the three lower pressure sensors to obtain human body pulse information.

22. A mobile terminal, characterized in that it includes a short-distance communication module, a network access module, and a processor connected to the short-distance communication module and the network access module;

The short-distance communication module is used to receive the pressure of the arterial position of the user's limb detected by the elastic air bladder set on the periphery when the pressure sensor of the pulse information detection device receives external pressing force; the processor is used to detect the pressure at the arterial position of the user's limb according to the The pressure detected by the pressure sensor is calculated to obtain human body pulse information;

23. The mobile terminal according to claim 20, characterized in that:

The pressure sensor of the pulse information detection device includes an upper pressure sensor arranged back to back and a lower pressure sensor with a lower elastic air bladder on the periphery. The human body pulse information includes the instantaneous pulse waveform of the artery position or the systolic and diastolic pressure of the human body. pressure,

The short-distance communication module is specifically configured to receive the external pressing force detected by the upper pressure sensor of the pulse information detection device and the pressure of the artery position detected by the lower pressure sensor through the lower elastic air bladder;

The steps for the processor to calculate and obtain human body pulse information based on the pressure detected by the pressure sensor include:

The processor is specifically configured to obtain the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor as the instantaneous pulse waveform of the artery position, or based on the detection of the lower pressure sensor and the upper pressure sensor. The difference or ratio between the obtained pressures is used to calculate the systolic and diastolic blood pressure of the human body.

24. The mobile terminal according to claim 22 or 23, characterized in that,

The short-distance communication module is specifically used to receive the three lower pressure sensors of the pulse information detection device to respectively detect the pressure at the three arterial positions of the user's limbs: cun, guan, and chi; The processor is specifically configured to perform pulse condition analysis based on the pressure detected by the three lower pressure sensors to obtain human body pulse condition information.

25. The mobile terminal according to any one of claims 22 to 24, further comprising an input module for obtaining query instructions input by the user;

The network access communication module is also used to send the query instruction to the cloud server, and receive the human body pulse information fed back by the cloud server based on the query instruction or the user's physical condition analysis results obtained based on the human body pulse information.

26. A cloud communication system, characterized in that it includes a pulse information detection device and a cloud server. The pulse information detection device includes a pressure sensor, an elastic air bladder sleeved around the pressure sensor, a communication module and a processor. The processor is electrically connected to the pressure sensor and communication module, and the cloud server includes an analysis module;

The pressure sensor squeezes the artery position of the user's limb through the elastic air bladder set on the periphery; the processor calculates the human body pulse information based on the pressure detected by the pressure sensor, and sends it to the communication module through the communication module. cloud server;

The analysis module is used to analyze the user's physical condition based on the human body pulse information sent by the pulse information detection device.

27. The cloud communication system according to claim 26, characterized in that, the pressure sensor includes three lower pressure sensors, each with a lower elastic air bladder set on the outer periphery and arranged at intervals, and each is detected by the lower elastic air bladder. The pressure of the three pulse positions of the human body: Cun, Guan, and Chi;

The processor is specifically used to perform pulse analysis based on the pressure detected by the three lower pressure sensors to obtain human body pulse information.

28. A cloud communication system, characterized in that it includes a pulse information detection device, a mobile terminal and a cloud server. The pulse information detection device includes a pressure sensor, an elastic gasket sleeved on the periphery of the pressure sensor, a first short A distance communication module and a processor electrically connected to the pressure sensor and the first short-distance communication module. The mobile terminal includes a second short-distance communication module, a network access module and a processing module. The cloud server includes an analysis module. ; The pressure sensor squeezes the artery position of the user's limb through the elastic air bladder set on the periphery; the processor sends the pressure detected by the pressure sensor to the mobile terminal through the first short-distance communication module;

The processing module calculates the human body pulse information based on the pressure detected by the pressure sensor received by the second short-distance communication module, and sends the human body pulse information to the cloud server through the network access module;

The analysis module is used to analyze the user's physical condition based on the human body pulse information sent by the mobile terminal.

29. The cloud communication system according to claim 28, characterized in that: the pressure sensor of the pulse information detection device includes an upper pressure sensor arranged back to back and a lower pressure sensor with a lower elastic air bag on the periphery,

The processing module is specifically configured to obtain the difference or ratio between the pressures detected by the lower pressure sensor and the upper pressure sensor as the instantaneous pulse waveform of the artery position, or based on the detection of the lower pressure sensor and the upper pressure sensor. The difference or ratio between the obtained pressures is used to calculate the systolic and diastolic blood pressure of the human body.

30. The cloud communication system according to claim 28 or 29, characterized in that the pressure sensor includes three lower pressure sensors each covered with lower elastic gas bags on the outer periphery and arranged at intervals. It detects the pressure of the three pulse positions of the human body: cun, guan and chi;

The processing module is specifically used to perform pulse analysis based on the pressure detected by the three lower pressure sensors to obtain human body pulse information.

31. The cloud communication system according to claims 28 to 30, characterized in that the first and second short-distance communication modules are specifically Bluetooth, infrared, near field communication NFC, or wireless high-fidelity wifi communication modules.

32. A cloud communication system, characterized in that it includes a pulse information detection device and a cloud server. The pulse information detection device includes a pressure sensor, an elastic gasket sleeved around the pressure sensor, a communication module and a The pressure sensor and communication module are electrically connected to the processor and the cloud The server includes a processing module and an analysis module;

The pressure sensor squeezes the artery position of the user's limb through the elastic air bladder set on the periphery; the processor sends the pressure detected by the pressure sensor to the cloud server through the communication module;

The processing module is used to calculate and obtain human body pulse information based on the pressure detected by the pressure sensor sent by the pulse information detection device;

The analysis module is used to analyze the user's physical condition based on the human body pulse information.