CN105528857A - Intelligent remote body sign data acquisition device - Google Patents

Abstract

The invention discloses an intelligent remote body sign data acquisition device. The device can collect human body sign data remotely and intelligently, especially the electrocardiogram data. Quick transmission of the collected data is realized through a wireless communication network. Besides, a special data processing and identification system is provided to ensure correctness of the body sign data.

Description

A kind of intelligent remote sign data harvester

Art

The present invention relates to a kind of intelligent remote sign data harvester.

Background technology

Along with the progress of society, growth in the living standard, the health status of people to self is more and more paid close attention to; The health concerns point developing into people of electronic technology, computer technology, low-power consumption computing technique provides the realization rate of technology.Traditional medicine apparatus can provide enough accurate measurement result, but, because traditional medicine apparatus needs to use at Code in Hazardous Special Locations, use also comfortable not, measure simultaneously and cannot carry out at any time.These restrictive conditions cannot allow everybody in comfortable environment, the mood loosened, understand health status whenever and wherever possible.

Due to the population pressure that aging brings, children's work load is strong, family burden increases the weight of, though have paramedic, healthcare givers, managerial personnel in home for destitute, can whenever and wherever possible for old man provides various service, thus guarantee that old man is protected in clothing, food, lodging and transportion--basic necessities of life, report situation etc. can be carried out with the household of old man whenever and wherever possible, its household can be made to be able to relieved.But home for destitute costly, decreases the free space of old man, its constraining force is strong, and forces old man to leave children of the family, runs counter to its wish, thus brings the impact on body and mind.So family endowment more and more comes into one's own.But family endowment is wanted to be promoted, just must solve the human side that old man's work of nursing brings, especially must solve the real-time of old man's sign data and detect the problem gathered.

The Medical Devices complex structure that existing hospital uses, complex operation step, needs professional to operate, and is difficult to carry out Long-Time Service in community medicine, endowment and even remote diagnosis for individual consumer.Especially complicated equipment, numerous lines, can cause the pressure on outpatients mental state and intense strain, may affect patient, and the data that diagnosis is obtained and truth have certain gap, may affect the correct diagnosis to the state of an illness.

To be common in the heart disease of the elderly, in order to prevent to diagnose early in advance, generally all need to adopt the electrocardiogram acquisition equipment of specialty to detect electrocardiogram (ECG) data, the namely so-called thought-read electrograph of common people's visual understanding.

Although occurred that some aim at the ECG detecting equipment of individual's design in the market, but complex structure, operation also bothers very much, the more important thing is once electrode position places mistake, the electrocardiogram (ECG) data obtained is exactly inaccurate, and unpredictable serious consequence will be brought in the diagnosis and treatment basis in this, as heart disease.

Summary of the invention

The invention provides a kind of intelligent remote sign data harvester, this device can gather human body physical sign data by long-distance intelligent, especially electrocardiogram (ECG) data, cordless communication network is adopted to realize the fast transport of image data, be provided with special data process and recognition system in addition, ensure the correctness of sign data.

To achieve these goals, the invention provides a kind of intelligent remote sign data harvester, this device can comprise sign data checkout equipment, intelligent monitoring device and data transfer platform;

Wherein, sign data checkout equipment comprises: be arranged on the sign data measurement module on sign data checkout equipment, sign data capture card and data-interface, described sign data measurement module comprises electrocardiogram (ECG) data measuring unit, and described electrocardiogram (ECG) data measuring unit comprises three and to lead ECG detecting equipment;

The sign data of collection is sent to described data-interface by described sign data capture card, and sign data, according to the host-host protocol preset, is sent to data transfer platform by data-interface;

Described data transfer platform comprises:

Receiver module, for the pending sign data that described data-interface sends; Wherein, described default sign data capture card gathers described pending sign data according to data acquisition instructions, comprises the data type of described pending sign data in described data acquisition instructions;

Determination module, whether consistent with the data type in the described data acquisition instructions that described receiver module receives for determining the data type of described pending sign data;

Processing module, during for determining that the data type of described pending sign data is consistent with the data type in described data acquisition instructions when described determination module, according to preset specification rule, described pending sign data is carried out format process, described preset specification rule is used for the form of pending sign data described in specification;

Wireless data sending module, for being sent to described intelligent monitoring device by the described pending sign data after described processing module format process;

Intelligent monitoring device comprises: wireless data receipt modules, sign data comparing module, display and alarm terminal and control module; Described wireless data receipt modules, receives the data that described terminal wireless data transmission blocks sends; Control module is used for carrying out cooperation control to module each in intelligent monitoring device.

Preferably, the described three ECG detecting equipment that lead comprise CH1+, and CH1-, CH2+, CH2-, CH3+, CH3-, RL be totally seven electrodes, and wherein electrode CH1+ and CH1-forms the first both positive and negative polarity led; Electrode CH2+ and CH2-forms the second both positive and negative polarity led, electrode CH3+ and CH3-forms the 3rd both positive and negative polarity led, electrode RL is ground-electrode, wherein electrode RL is away from all the other six electrodes, three negative electrode CH1-, and the position of CH2-and CH3-is close, electric potential difference is very little, therefore they are equipotential substantially, and three positive electrode CH1+, CH2+ and CH3+ is arranged in far-end.

Preferably, three lead ECG detecting equipment will measure electrocardiogram (ECG) data, send sign data capture card to by MCU serial ports treatment circuit.

Preferably, described sign data comparing module comprises three and to lead ECG detecting electrode position identifying unit, and this unit is used for by comparing to electrocardiogram (ECG) data, and judge that whether electrode position is correct, this unit specifically adopts following steps to carry out electrode position judgement:

Step one: simplify electrode position and judge, get rid of the position wrong of the described ground-electrode RL away from all the other six electrodes, get rid of the position wrong of described negative electrode CH1-, CH2-and CH3-of three close positions;

Step 2: raw data acquisition, according to correct electrode position connected mode, for different tested objects, adopting same ECG detecting equipment to gather the correct electrocardiogram (ECG) data of multiple seasonal effect in time series is stored in a raw data base, each time series comprises many described correct electrocardiogram (ECG) datas that one group of interval same time gathers, each article of described correct electrocardiogram (ECG) data comprises and described first to lead, second to lead and the 3rd electrocardio test voltage CV1 led, CV2 and CV3;

Step 3: assuming that the electrocardio test voltage CV1 in each described correct electrocardiogram (ECG) data, CV2 and CV3, can be undertaken rebuilding acquisition by following formula 1, described formula 1 is:

CV1＝b11*1+b12*CV2+b13*CV3

CV2＝b21*1+b22*CV1+b23*CV3

CV3＝b31*1+b32*CV1+b33*CV2

Described correct electrocardiogram (ECG) data in described raw data base is substituted into described formula 1, calculates the matrix numerical value of the coefficient bk obtained in described formula 1:

$bk=\left[\begin{array}{ccc}b11& b12& b13\\ b21& b22& b23\\ b31& b32& b33\end{array}\right];$

Step 4: the matrix numerical value of the described coefficient bk calculating acquisition in step 3 is substituted into described formula 1, by the described electrocardio test voltage CV1 of described for each in described raw data base correct electrocardiogram (ECG) data, CV2 and CV3 substitutes into described formula 1 equally, namely may correspond to acquisition one group virtual electrocardio voltage DV1, DV2 and DV3;

Calculate the electrocardio test voltage CV1 of correct electrocardiogram (ECG) data described in each seasonal effect in time series one group, the described virtual electrocardio voltage DV1 that CV2 and CV3 is corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3;

Define a linear function formula 2:

Z＝T0+T1*f1+T2*f2+T3*f3

Described related coefficient f1, f2 and the f3 substitution formula 2 each group calculating obtained all can obtain a corresponding function Z, and each described function Z is substituted into a decision-making formula 3:

$g\left(Z\right)=\frac{1}{1+e^{-Z}}$

Described decision function g (Z) corresponding to correct electrocardiogram (ECG) data equals 1 and determined, solution formula 3, substituting into formula 2, calculating the T matrix of coefficients numerical value obtained in formula 2 by formula 3 by calculating each described function Z obtained:

T＝[T0T1T2T3]；

Step 5: adopt ECG detecting equipment official testing electrocardiogram (ECG) data same in step 2, the described simplification electrode position determining step of same employing step one, obtain multiple seasonal effect in time series many articles of official testing electrocardiogram (ECG) datas described first to lead, second to lead and the 3rd formal electrocardio test voltage CV1, CV2 and CV3 led;

The described formal electrocardio test voltage CV1 of many official testing electrocardiogram (ECG) data described in multiple seasonal effect in time series that test is obtained, the matrix numerical value calculating the described coefficient bk of acquisition in CV2 and CV3 and step 3 substitutes into described formula 1, each time series correspondence obtains one group of virtual formal voltage DV1, DV2 and DV3;

Calculate the virtual formal voltage DV1 that described in each seasonal effect in time series one group, formal electrocardio test voltage CV1, CV2 and CV3 are corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3; The described related coefficient f1 obtained will be calculated, f2 and f3 and step 4 calculate the described T matrix of coefficients numerical value obtained and substitute into the numerical value that formula 2 obtains linear function Z, the numerical value of described function Z is substituted into decision-making formula 3, calculates the numerical value obtaining described decision function g (Z);

If the numerical value calculating the described decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, then judge that electrode position does not have wrong;

If the numerical value calculating the described decision function g (Z) obtained is less than described demarcation numerical value t, then judges electrode position wrong and send the prompting that reports an error, repeating step 5, until judge that electrode position does not have wrong.

Preferably, described sign data measurement module also comprises:

Numeral body temperature trans, measured temperature data sends sign data capture card to by MCU serial ports treatment circuit;

Blood sugar measuring instrument, measured blood sugar saturation degree sends sign data capture card to by MCU serial ports treatment circuit;

Numeral blood pressure instrument, measured blood pressure data sends sign data capture card to by MCU serial ports treatment circuit;

Numeral BOLD contrast, measured blood oxygen concentration data send sign data capture card to by MCU serial ports treatment circuit.

Preferably, described wireless data sending module comprises:

Data send determining unit, for determining the transmission agreement of the described pending sign data after sending format process;

Data transmission unit, the described pending sign data after format process is sent to described intelligent monitoring device by the described transmission agreement determined for sending determining unit based on described data.

Preferably, described data transmission determining unit comprises:

Resolve subelement, for resolving described data acquisition instructions; Wherein, described transmission agreement is also comprised in described data acquisition instructions;

Obtain subelement, after resolving described data acquisition instructions at described parsing subelement, obtain and determine described transmission agreement;

Subelement is determined in transmission, for determining that give tacit consent in described data transfer platform or selected transmission agreement is described transmission agreement.

The present invention has the following advantages and beneficial effect: (1) long-range Real-time Collection sign data, and especially electrocardio sign data, is applicable to elderly population; (2) utilize wireless communication technology to transmit sign data, efficiency is high, saves equipment, high financial profit; (3) whether the measured value of remotely intelligently monitoring electrocardio sign data and device location measurement connect correct, reduce the possibility of error in data; (4) intelligent monitoring device Real time identification and display sign data, and instant alerts or warning are carried out to abnormal data.

Accompanying drawing explanation

Fig. 1 shows the block diagram of a kind of intelligent remote sign data harvester of the present invention.

Fig. 2 shows a kind of human life collecting method of the present invention.

Embodiment

Fig. 1 shows a kind of intelligent remote sign data harvester of the present invention.This device can comprise sign data checkout equipment 1, intelligent monitoring device 2 and data transfer platform 3.

Wherein, sign data checkout equipment 1 comprises: be arranged on the sign data measurement module 11 on sign data checkout equipment, sign data capture card 12 and data-interface 13, described sign data measurement module comprises electrocardiogram (ECG) data measuring unit, and described electrocardiogram (ECG) data measuring unit comprises three and to lead ECG detecting equipment.

The sign data of collection is sent to described data-interface 13 by described sign data capture card 12, and sign data, according to the host-host protocol preset, is sent to data transfer platform 3 by data-interface 13.

Described data transfer platform 3 comprises:

Receiver module 31, for the pending sign data that described data-interface 13 sends; Wherein, described default sign data capture card gathers described pending sign data according to data acquisition instructions, comprises the data type of described pending sign data in described data acquisition instructions;

Determination module 32, whether consistent with the data type in the described data acquisition instructions that described receiver module receives for determining the data type of described pending sign data;

Processing module 33, during for determining that the data type of described pending sign data is consistent with the data type in described data acquisition instructions when described determination module, according to preset specification rule, described pending sign data is carried out format process, described preset specification rule is used for the form of pending sign data described in specification;

Wireless data sending module 34, for being sent to described intelligent monitoring device by the described pending sign data after described processing module format process.

Intelligent monitoring device 2 comprises: wireless data receipt modules 21, sign data comparing module 22, display and alarm terminal 23 and control module 24; Described wireless data receipt modules 21, receives the data that described terminal wireless data transmission blocks 34 sends; Control module 24 is for carrying out cooperation control to module each in intelligent monitoring device.

Preferably, the described three ECG detecting equipment that lead comprise CH1+, and CH1-, CH2+, CH2-, CH3+, CH3-, RL be totally seven electrodes, and wherein electrode CH1+ and CH1-forms the first both positive and negative polarity led; Electrode CH2+ and CH2-forms the second both positive and negative polarity led, electrode CH3+ and CH3-forms the 3rd both positive and negative polarity led, electrode RL is ground-electrode, wherein electrode RL is away from all the other six electrodes, three negative electrode CH1-, and the position of CH2-and CH3-is close, electric potential difference is very little, therefore they are equipotential substantially, and three positive electrode CH1+, CH2+ and CH3+ is arranged in far-end.

Preferably, three lead ECG detecting equipment will measure electrocardiogram (ECG) data, send sign data capture card 12 to by MCU serial ports treatment circuit.

Preferably, described sign data comparing module comprises three and to lead ECG detecting electrode position identifying unit, and this unit is used for by comparing to electrocardiogram (ECG) data, and judge that whether electrode position is correct, this unit specifically adopts following steps to carry out electrode position judgement:

Step one: simplify electrode position and judge, get rid of the position wrong of the described ground-electrode RL away from all the other six electrodes, get rid of the position wrong of described negative electrode CH1-, CH2-and CH3-of three close positions;

Step 2: raw data acquisition, according to correct electrode position connected mode, for different tested objects, adopting same ECG detecting equipment to gather the correct electrocardiogram (ECG) data of multiple seasonal effect in time series is stored in a raw data base, each time series comprises many described correct electrocardiogram (ECG) datas that one group of interval same time gathers, each article of described correct electrocardiogram (ECG) data comprises and described first to lead, second to lead and the 3rd electrocardio test voltage CV1 led, CV2 and CV3;

Step 3: assuming that the electrocardio test voltage CV1 in each described correct electrocardiogram (ECG) data, CV2 and CV3, can be undertaken rebuilding acquisition by following formula 1, described formula 1 is:

CV1＝b11*1+b12*CV2+b13*CV3

CV2＝b21*1+b22*CV1+b23*CV3

CV3＝b31*1+b32*CV1+b33*CV2

Described correct electrocardiogram (ECG) data in described raw data base is substituted into described formula 1, calculates the matrix numerical value of the coefficient bk obtained in described formula 1:

$bk=\left[\begin{array}{ccc}b11& b12& b13\\ b21& b22& b23\\ b31& b32& b33\end{array}\right];$

Step 4: the matrix numerical value of the described coefficient bk calculating acquisition in step 3 is substituted into described formula 1, by the described electrocardio test voltage CV1 of described for each in described raw data base correct electrocardiogram (ECG) data, CV2 and CV3 substitutes into described formula 1 equally, namely may correspond to acquisition one group virtual electrocardio voltage DV1, DV2 and DV3;

Calculate the electrocardio test voltage CV1 of correct electrocardiogram (ECG) data described in each seasonal effect in time series one group, the described virtual electrocardio voltage DV1 that CV2 and CV3 is corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3;

Define a linear function formula 2:

Z＝T0+T1*f1+T2*f2+T3*f3

Described related coefficient f1, f2 and the f3 substitution formula 2 each group calculating obtained all can obtain a corresponding function Z, and each described function Z is substituted into a decision-making formula 3:

$g\left(Z\right)=\frac{1}{1+e^{-Z}}$

Described decision function g (Z) corresponding to correct electrocardiogram (ECG) data equals 1 and determined, solution formula 3, substituting into formula 2, calculating the T matrix of coefficients numerical value obtained in formula 2 by formula 3 by calculating each described function Z obtained:

T＝[T0T1T2T3]；

Step 5: adopt ECG detecting equipment official testing electrocardiogram (ECG) data same in step 2, the described simplification electrode position determining step of same employing step one, obtain multiple seasonal effect in time series many articles of official testing electrocardiogram (ECG) datas described first to lead, second to lead and the 3rd formal electrocardio test voltage CV1, CV2 and CV3 led;

The described formal electrocardio test voltage CV1 of many official testing electrocardiogram (ECG) data described in multiple seasonal effect in time series that test is obtained, the matrix numerical value calculating the described coefficient bk of acquisition in CV2 and CV3 and step 3 substitutes into described formula 1, each time series correspondence obtains one group of virtual formal voltage DV1, DV2 and DV3;

Calculate the virtual formal voltage DV1 that described in each seasonal effect in time series one group, formal electrocardio test voltage CV1, CV2 and CV3 are corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3; The described related coefficient f1 obtained will be calculated, f2 and f3 and step 4 calculate the described T matrix of coefficients numerical value obtained and substitute into the numerical value that formula 2 obtains linear function Z, the numerical value of described function Z is substituted into decision-making formula 3, calculates the numerical value obtaining described decision function g (Z);

If the numerical value calculating the described decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, then judge that electrode position does not have wrong;

If the numerical value calculating the described decision function g (Z) obtained is less than described demarcation numerical value t, then judges electrode position wrong and send the prompting that reports an error, repeating step 5, until judge that electrode position does not have wrong.

Preferably, described sign data measurement module 11 also comprises:

Numeral body temperature trans, measured temperature data sends sign data capture card 12 to by MCU serial ports treatment circuit;

Blood sugar measuring instrument, measured blood sugar saturation degree sends sign data capture card 12 to by MCU serial ports treatment circuit;

Numeral blood pressure instrument, measured blood pressure data sends sign data capture card 12 to by MCU serial ports treatment circuit;

Numeral BOLD contrast, measured blood oxygen concentration data send sign data capture card 12 to by MCU serial ports treatment circuit.

Preferably, described wireless data sending module 34 comprises:

Data send determining unit, for determining the transmission agreement of the described pending sign data after sending format process;

Data transmission unit, the described pending sign data after format process is sent to described intelligent monitoring device by the described transmission agreement determined for sending determining unit based on described data.

Preferably, described data transmission determining unit comprises:

Resolve subelement, for resolving described data acquisition instructions; Wherein, described transmission agreement is also comprised in described data acquisition instructions;

Obtain subelement, after resolving described data acquisition instructions at described parsing subelement, obtain and determine described transmission agreement;

Subelement is determined in transmission, for determining that give tacit consent in described data transfer platform or selected transmission agreement is described transmission agreement.

Fig. 2 shows the method for a kind of human life collecting method of the present invention.The method specifically comprises the steps:

S1. sign data measurement module Real-time Collection comprises multiple human body physical sign data of electrocardiogram (ECG) data, and the collection of sign data capture card gathers these sign datas;

S2. sign data sends to data transfer platform according to the host-host protocol preset via data-interface;

S3. data transfer platform is determined sign data, processes and is sent;

S4. intelligent monitoring device receives the sign data that data transfer platform sends;

S5. remote supervisory and control(ling) equipment identifies sign data and shows/report to the police.

Preferably, sign data measurement module comprises electrocardiogram (ECG) data measuring unit, described electrocardiogram (ECG) data measuring unit comprises three and to lead ECG detecting equipment, and the described three ECG detecting equipment that lead comprise CH1+, CH1-, CH2+, CH2-, CH3+, CH3-, RL is totally seven electrodes, and wherein electrode CH1+ and CH1-forms the first both positive and negative polarity led; Electrode CH2+ and CH2-forms the second both positive and negative polarity led, electrode CH3+ and CH3-forms the 3rd both positive and negative polarity led, electrode RL is ground-electrode, wherein electrode RL is away from all the other six electrodes, three negative electrode CH1-, and the position of CH2-and CH3-is close, electric potential difference is very little, therefore they are equipotential substantially, and three positive electrode CH1+, CH2+ and CH3+ is arranged in far-end.

Preferably, in step sl, three lead ECG detecting equipment will measure electrocardiogram (ECG) data, send sign data capture card to by MCU serial ports treatment circuit;

Numeral body temperature trans sends measured temperature data to sign data capture card by MCU serial ports treatment circuit;

Blood sugar measuring instrument sends measured blood sugar saturation degree to sign data capture card by MCU serial ports treatment circuit;

Numeral blood pressure instrument sends measured blood pressure data to sign data capture card by MCU serial ports treatment circuit;

Numeral BOLD contrast sends measured blood oxygen concentration data to sign data capture card by MCU serial ports treatment circuit.

Preferably, in step s 5, in the process that sign data is identified, electrocardiogram (ECG) data is compared, judges whether correctly three lead ECG detecting device electrode position, and concrete determination step is as follows:

S51: simplify electrode position and judge, get rid of the position wrong of the described ground-electrode RL away from all the other six electrodes, get rid of the position wrong of described negative electrode CH1-, CH2-and CH3-of three close positions;

S52: raw data acquisition, according to correct electrode position connected mode, for different tested objects, adopting same ECG detecting equipment to gather the correct electrocardiogram (ECG) data of multiple seasonal effect in time series is stored in a raw data base, each time series comprises many described correct electrocardiogram (ECG) datas that one group of interval same time gathers, each article of described correct electrocardiogram (ECG) data comprises and described first to lead, second to lead and the 3rd electrocardio test voltage CV1 led, CV2 and CV3;

S53: assuming that the electrocardio test voltage CV1 in each described correct electrocardiogram (ECG) data, CV2 and CV3, can be undertaken rebuilding acquisition by following formula 1, described formula 1 is:

CV1＝b11*1+b12*CV2+b13*CV3

CV2＝b21*1+b22*CV1+b23*CV3

CV3＝b31*1+b32*CV1+b33*CV2

Described correct electrocardiogram (ECG) data in described raw data base is substituted into described formula 1, calculates the matrix numerical value of the coefficient bk obtained in described formula 1:

$bk=\left[\begin{array}{ccc}b11& b12& b13\\ b21& b22& b23\\ b31& b32& b33\end{array}\right];$

S54: the matrix numerical value of the described coefficient bk calculating acquisition in S53 is substituted into described formula 1, by the described electrocardio test voltage CV1 of described for each in described raw data base correct electrocardiogram (ECG) data, CV2 and CV3 substitutes into described formula 1 equally, namely may correspond to acquisition one group virtual electrocardio voltage DV1, DV2 and DV3;

Calculate the electrocardio test voltage CV1 of correct electrocardiogram (ECG) data described in each seasonal effect in time series one group, the described virtual electrocardio voltage DV1 that CV2 and CV3 is corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3;

Define a linear function formula 2:

Z＝T0+T1*f1+T2*f2+T3*f3

Described related coefficient f1, f2 and the f3 substitution formula 2 each group calculating obtained all can obtain a corresponding function Z, and each described function Z is substituted into a decision-making formula 3:

$g\left(Z\right)=\frac{1}{1+e^{-Z}}$

Described decision function g (Z) corresponding to correct electrocardiogram (ECG) data equals 1 and determined, solution formula 3, substituting into formula 2, calculating the T matrix of coefficients numerical value obtained in formula 2 by formula 3 by calculating each described function Z obtained:

T＝[T0T1T2T3]；

S55: adopt ECG detecting equipment official testing electrocardiogram (ECG) data same in S52, the described simplification electrode position determining step of same employing S51, obtain multiple seasonal effect in time series many articles of official testing electrocardiogram (ECG) datas described first to lead, second to lead and the 3rd formal electrocardio test voltage CV1, CV2 and CV3 led;

The described formal electrocardio test voltage CV1 of many official testing electrocardiogram (ECG) data described in multiple seasonal effect in time series that test is obtained, the matrix numerical value calculating the described coefficient bk of acquisition in CV2 and CV3 and S53 substitutes into described formula 1, each time series correspondence obtains one group of virtual formal voltage DV1, DV2 and DV3;

Calculate the virtual formal voltage DV1 that described in each seasonal effect in time series one group, formal electrocardio test voltage CV1, CV2 and CV3 are corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3; The described related coefficient f1 obtained will be calculated, f2 and f3 and S54 calculates the described T matrix of coefficients numerical value obtained and substitutes into the numerical value that formula 2 obtains linear function Z, the numerical value of described function Z is substituted into decision-making formula 3, calculates the numerical value obtaining described decision function g (Z);

If the numerical value calculating the described decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, then judge that electrode position does not have wrong;

If the numerical value calculating the described decision function g (Z) obtained is less than described demarcation numerical value t, then judges electrode position wrong and send the prompting that reports an error, repeating S55, until judge that electrode position does not have wrong.

Preferably, described S52 comprises database further and increases step: by the described electrocardio test voltage CV1 in described for each in described raw data base correct electrocardiogram (ECG) data, CV2 and CV3 carries out permutation and combination, forms five new wrong electrocardiogram (ECG) datas and is stored in described raw data base.

Preferably, step S3 specifically comprises following sub-step:

S31. the pending sign data preset sign data capture card and send is received;

After sign data capture card has gathered pending sign data from client, this pending sign data is sent in data transfer platform, data transfer platform receives this pending sign data and carries out format process to this pending sign data, after process, the pending sign data after process is sent to intelligent monitoring device.Wherein, the pending sign data that data transfer platform receives may be one, also may be multiple.

S32. determine that whether the data type of described pending sign data is consistent with the data type in described data acquisition instructions.

After data transfer platform receives pending sign data, first, determine the number of pending sign data, if the number of pending sign data is at least two, need the data type respectively at least two pending sign datas being determined to this pending sign data; Secondly, whether the data type obtaining the pending sign data that the data type in data acquisition instructions is determined with data transfer platform is consistent.

Data transfer platform, except determining the data type of pending sign data, also comprises: determine whether pending sign data comprises the length information etc. of special character, pending sign data.Comprise special character if determine in pending sign data, then the pending sign data comprising special character is carried out coded treatment; If the length of pending sign data exceedes pre-set length threshold, then this pending sign data is intercepted according to pre-set length threshold, wherein, described pre-set length threshold is artificial setting, when arranging pre-set length threshold, to arrange based on the data type of different pending sign datas.

If S33. consistent, then according to preset specification rule, described pending sign data is carried out format process.

When determining that whether the data type of described pending sign data is consistent with the data type in described data acquisition instructions, illustrate that this pending sign data is the data that server needs to gather.In data transfer platform, before sending pending sign data to server, due to the concrete number of the pending sign data of uncertain reception, therefore need to treat process sign data and format.If the number of pending sign data is at least two, then need these at least two pending sign datas to splice, according to preset specification rule, format process is being carried out to spliced pending sign data; Wherein, preset specification rule is used for the form of pending sign data described in specification.

S34. the described pending sign data after format process is sent to server.

Pending sign data after format process is sent to server, realizes the pending sign data collection realizing numerous types of data in a data acquisition platform.

As mentioned above, although the embodiment limited according to embodiment and accompanying drawing are illustrated, various amendment and distortion can be carried out from above-mentioned record concerning the technician that the art has a general knowledge.Such as, carry out according to the order mutually different from method illustrated in the technology illustrated, and/or carry out combining or combining according to the form mutually different from the method illustrated by the inscape such as system, structure, device, circuit illustrated, or carry out replacing or replacing also can reaching suitable effect according to other inscapes or equipollent.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, make some equivalent to substitute or obvious modification, and performance or purposes identical, all should be considered as belonging to protection scope of the present invention.

Claims (7)

1. an intelligent remote sign data harvester, this device can comprise sign data checkout equipment, intelligent monitoring device and data transfer platform;

Wherein, sign data checkout equipment comprises: be arranged on the sign data measurement module on sign data checkout equipment, sign data capture card and data-interface, described sign data measurement module comprises electrocardiogram (ECG) data measuring unit, and described electrocardiogram (ECG) data measuring unit comprises three and to lead ECG detecting equipment;

The sign data of collection is sent to described data-interface by described sign data capture card, and sign data, according to the host-host protocol preset, is sent to data transfer platform by data-interface;

Described data transfer platform comprises:

Receiver module, for the pending sign data that described data-interface sends; Wherein, described default sign data capture card gathers described pending sign data according to data acquisition instructions, comprises the data type of described pending sign data in described data acquisition instructions;

Determination module, whether consistent with the data type in the described data acquisition instructions that described receiver module receives for determining the data type of described pending sign data;

Processing module, during for determining that the data type of described pending sign data is consistent with the data type in described data acquisition instructions when described determination module, according to preset specification rule, described pending sign data is carried out format process, described preset specification rule is used for the form of pending sign data described in specification;

Wireless data sending module, for being sent to described intelligent monitoring device by the described pending sign data after described processing module format process;

Intelligent monitoring device comprises: wireless data receipt modules, sign data comparing module, display and alarm terminal and control module; Described wireless data receipt modules, receives the data that described terminal wireless data transmission blocks sends; Control module is used for carrying out cooperation control to module each in intelligent monitoring device.

2. device as claimed in claim 1, is characterized in that: the described three ECG detecting equipment that lead comprise CH1+, and CH1-, CH2+, CH2-, CH3+, CH3-, RL be totally seven electrodes, and wherein electrode CH1+ and CH1-forms the first both positive and negative polarity led; Electrode CH2+ and CH2-forms the second both positive and negative polarity led, electrode CH3+ and CH3-forms the 3rd both positive and negative polarity led, electrode RL is ground-electrode, wherein electrode RL is away from all the other six electrodes, three negative electrode CH1-, and the position of CH2-and CH3-is close, electric potential difference is very little, therefore they are equipotential substantially, and three positive electrode CH1+, CH2+ and CH3+ is arranged in far-end.

3. device as claimed in claim 2, is characterized in that: three lead electrocardiogram (ECG) data that ECG detecting equipment will measure, sends sign data capture card to by MCU serial ports treatment circuit.

4. device as claimed in claim 2, it is characterized in that: described sign data comparing module comprises three and to lead ECG detecting electrode position identifying unit, this unit is used for by comparing to electrocardiogram (ECG) data, judge that whether electrode position is correct, this unit specifically adopts following steps to carry out electrode position judgement:

Step one: simplify electrode position and judge, get rid of the position wrong of the described ground-electrode RL away from all the other six electrodes, get rid of the position wrong of described negative electrode CH1-, CH2-and CH3-of three close positions;

Step 2: raw data acquisition, according to correct electrode position connected mode, for different tested objects, adopting same ECG detecting equipment to gather the correct electrocardiogram (ECG) data of multiple seasonal effect in time series is stored in a raw data base, each time series comprises many described correct electrocardiogram (ECG) datas that one group of interval same time gathers, each article of described correct electrocardiogram (ECG) data comprises and described first to lead, second to lead and the 3rd electrocardio test voltage CV1 led, CV2 and CV3;

Step 3: assuming that the electrocardio test voltage CV1 in each described correct electrocardiogram (ECG) data, CV2 and CV3, can be undertaken rebuilding acquisition by following formula 1, described formula 1 is:

CV1＝b11*1+b12*CV2+b13*CV3

CV2＝b21*1+b22*CV1+b23*CV3

CV3＝b31*1+b32*CV1+b33*CV2

Described correct electrocardiogram (ECG) data in described raw data base is substituted into described formula 1, calculates the matrix numerical value of the coefficient bk obtained in described formula 1:

$bk=\left[\begin{array}{ccc}b11& b12& b13\\ b21& b22& b23\\ b31& b32& b33\end{array}\right];$

Step 4: the matrix numerical value of the described coefficient bk calculating acquisition in step 3 is substituted into described formula 1, by the described electrocardio test voltage CV1 of described for each in described raw data base correct electrocardiogram (ECG) data, CV2 and CV3 substitutes into described formula 1 equally, namely may correspond to acquisition one group virtual electrocardio voltage DV1, DV2 and DV3;

Calculate the electrocardio test voltage CV1 of correct electrocardiogram (ECG) data described in each seasonal effect in time series one group, the described virtual electrocardio voltage DV1 that CV2 and CV3 is corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3;

Define a linear function formula 2:

Z＝T0+T1*f1+T2*f2+T3*f3

Described related coefficient f1, f2 and the f3 substitution formula 2 each group calculating obtained all can obtain a corresponding function Z, and each described function Z is substituted into a decision-making formula 3:

$g\left(Z\right)=\frac{1}{1+e^{-Z}}$

Described decision function g (Z) corresponding to correct electrocardiogram (ECG) data equals 1 and determined, solution formula 3, substituting into formula 2, calculating the T matrix of coefficients numerical value obtained in formula 2 by formula 3 by calculating each described function Z obtained:

T＝[T0T1T2T3]；

Step 5: adopt ECG detecting equipment official testing electrocardiogram (ECG) data same in step 2, the described simplification electrode position determining step of same employing step one, obtain multiple seasonal effect in time series many articles of official testing electrocardiogram (ECG) datas described first to lead, second to lead and the 3rd formal electrocardio test voltage CV1, CV2 and CV3 led;

The described formal electrocardio test voltage CV1 of many official testing electrocardiogram (ECG) data described in multiple seasonal effect in time series that test is obtained, the matrix numerical value calculating the described coefficient bk of acquisition in CV2 and CV3 and step 3 substitutes into described formula 1, each time series correspondence obtains one group of virtual formal voltage DV1, DV2 and DV3;

Calculate the virtual formal voltage DV1 that described in each seasonal effect in time series one group, formal electrocardio test voltage CV1, CV2 and CV3 are corresponding with it, the related coefficient f1 between DV2 and DV3, f2 and f3; The described related coefficient f1 obtained will be calculated, f2 and f3 and step 4 calculate the described T matrix of coefficients numerical value obtained and substitute into the numerical value that formula 2 obtains linear function Z, the numerical value of described function Z is substituted into decision-making formula 3, calculates the numerical value obtaining described decision function g (Z);

If the numerical value calculating the described decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, then judge that electrode position does not have wrong;

If the numerical value calculating the described decision function g (Z) obtained is less than described demarcation numerical value t, then judges electrode position wrong and send the prompting that reports an error, repeating step 5, until judge that electrode position does not have wrong.

5. device as claimed in claim 1, is characterized in that: described sign data measurement module also comprises:

Numeral body temperature trans, measured temperature data sends sign data capture card to by MCU serial ports treatment circuit;

Blood sugar measuring instrument, measured blood sugar saturation degree sends sign data capture card to by MCU serial ports treatment circuit;

Numeral blood pressure instrument, measured blood pressure data sends sign data capture card to by MCU serial ports treatment circuit;

Numeral BOLD contrast, measured blood oxygen concentration data send sign data capture card to by MCU serial ports treatment circuit.

6. device as claimed in claim 1, is characterized in that: described wireless data sending module comprises:

Data send determining unit, for determining the transmission agreement of the described pending sign data after sending format process;

Data transmission unit, the described pending sign data after format process is sent to described intelligent monitoring device by the described transmission agreement determined for sending determining unit based on described data.

7. device as claimed in claim 1, is characterized in that: described data send determining unit and comprise:

Resolve subelement, for resolving described data acquisition instructions; Wherein, described transmission agreement is also comprised in described data acquisition instructions;

Obtain subelement, after resolving described data acquisition instructions at described parsing subelement, obtain and determine described transmission agreement;

Subelement is determined in transmission, for determining that give tacit consent in described data transfer platform or selected transmission agreement is described transmission agreement.