CN105528857B - A kind of intelligent remote sign data harvester - Google Patents
A kind of intelligent remote sign data harvester Download PDFInfo
- Publication number
- CN105528857B CN105528857B CN201610014923.1A CN201610014923A CN105528857B CN 105528857 B CN105528857 B CN 105528857B CN 201610014923 A CN201610014923 A CN 201610014923A CN 105528857 B CN105528857 B CN 105528857B
- Authority
- CN
- China
- Prior art keywords
- data
- mrow
- ecg
- sign data
- formula
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0211—Combination with medical sensor, e.g. for measuring heart rate, temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Computer Networks & Wireless Communication (AREA)
- Molecular Biology (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Pathology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- General Physics & Mathematics (AREA)
- Child & Adolescent Psychology (AREA)
- Cardiology (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physiology (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a kind of intelligent remote sign data harvester, the device can long-distance intelligent collection human body physical sign data, especially electrocardiogram (ECG) data, the quick transmission of gathered data is realized using cordless communication network, special data processing and identifying system are furthermore provided with, ensures the correctness of sign data.
Description
Art
The present invention relates to a kind of intelligent remote sign data harvester.
Background technology
With the development of the society, growth in the living standard, people are increasingly paid close attention to the health status of itself;Electronics skill
Art, computer technology, the health concerns for the developing into people point of low-power consumption computing technique provide the realization rate of technology.Tradition
Medical device can provide sufficiently accurate measurement result, still, because traditional medicine apparatus needs to use in Code in Hazardous Special Locations, make
With also not enough comfortably, while measurement can not be carried out at any time.These restrictive conditions can not allow everybody in comfortable environment, the heart loosened
Feelings, health status is understood whenever and wherever possible.
Due to the population pressure that aging is brought, children's work load is strong, and family burden aggravates, though there is shield in home for destitute
Reason personnel, healthcare givers, administrative staff, various services can be provided for old man whenever and wherever possible, so that it is guaranteed that old man is in clothing ,food and housing
Row aspect is protected, and household that can be whenever and wherever possible with old man carries out report situation etc., and its household can be enable to trust.But
It is that home for destitute is costly, reduces the free space of old man, its restraining force is strong, and forces old man to leave children of the family, runs counter to
Its wish, so as to bring the influence on body and mind.So family endowment is increasingly taken seriously.But family endowment is wanted to obtain
Promote, must just solve old man and nurse the human side that work is brought, must especially solve the real-time inspection of old man's sign data
The problem of surveying collection.
Medical Devices used in existing hospital are complicated, complex for operation step, it is necessary to professional is operated, right
Carried out for individual consumer it is difficult in community medicine, endowment or even remote diagnosis long-term use of.Especially complicated sets
Standby, numerous line, pressure and intense strain on outpatients mental state can be caused, patient may be influenceed so that examine
Data obtained by breaking have certain gap with truth, may influence the correct diagnosis to the state of an illness.
For exemplified by being common in the heart disease of the elderly, in order to prevent to diagnose early in advance, it is typically necessary and adopts
Electrocardiogram (ECG) data, that is, the so-called thought-read electrograph of common people's visual understanding are detected with the electrocardiogram acquisition equipment of specialty.
Although occur some ECG detecting equipments for aiming at personal design, complicated, operation in the market
It is very troublesome, it is often more important that once electrode position places mistake, the electrocardiogram (ECG) data of acquisition is inaccurate, in this, as the heart
The diagnosis and treatment basis of dirty disease will bring unpredictable serious consequence.
The content of the invention
The present invention provides a kind of intelligent remote sign data harvester, and the device can long-distance intelligent collection human body physical sign number
According to especially electrocardiogram (ECG) data is realized the quick transmission of gathered data using cordless communication network, is furthermore provided with special data
Processing and identifying system, ensure the correctness of sign data.
To achieve these goals, the present invention provides a kind of intelligent remote sign data harvester, and the device may include
Sign data detection device, intelligent monitoring device and data transfer platform;
Wherein, sign data detection device includes:Sign data measurement module on sign data detection device,
Sign data capture card and data-interface, the sign data measurement module include electrocardiogram (ECG) data measuring unit, the electrocardio number
Include three lead ECG detecting equipments according to measuring unit;
The sign data of collection is sent to the data-interface by the sign data capture card, and data-interface is according in advance
The host-host protocol of setting, sign data is sent to data transfer platform;
The data transfer platform includes:
Receiving module, the pending sign data sent for the data-interface;Wherein, the default sign data is adopted
Truck gathers the pending sign data according to data acquisition instructions, and the pending body is included in the data acquisition instructions
Levy the data type of data;
Determining module, what whether the data type for determining the pending sign data received with the receiving module
Data type in the data acquisition instructions is consistent;
Processing module, for the data type that the pending sign data is determined when the determining module and the data
When data type in acquisition instructions is consistent, the pending sign data is formatted by place according to preset specification rule
Reason, the preset specification rule are used for the form of pending sign data described in specification;
Wireless data sending module, sent out for the pending sign data after the processing module formatting is handled
Deliver to the intelligent monitoring device;
Intelligent monitoring device includes:Wireless data receipt modules, sign data comparing module, display and alarm terminal and control
Molding block;The wireless data receipt modules, receive the data that the terminal wireless data transmission blocks are sent;Control module is used
Each module carries out coordination control in intelligent monitoring device.
Preferably, the three leads ECG detecting equipment includes CH1+, CH1-, CH2+, CH2-, CH3+, CH3-, RL totally seven
Individual electrode, wherein electrode CH1+ and CH1- form the both positive and negative polarity of the first lead;Electrode CH2+ and CH2- are forming the second lead just
Negative pole, electrode CH3+ and CH3- form the both positive and negative polarity of the 3rd lead, and electrode RL is grounding electrode, wherein electrode RL away from remaining six
Individual electrode, three negative electrodes CH1-, CH2- and CH3- position are close, and electrical potential difference is very small, therefore they are essentially equipotential,
Three positive electrodes CH1+, CH2+ and CH3+ are arranged in distal end.
Preferably, the electrocardiogram (ECG) data of measurement is passed through MCU serial ports process circuit and transmits donor by three lead ECG detecting equipments
Levy data collecting card.
Preferably, the sign data comparing module includes three lead ECG detecting electrode position identifying units, the unit
For by the way that electrocardiogram (ECG) data is compared, to judge whether electrode position is correct, the unit specifically to be carried out using following steps
Electrode position judges:
Step 1:Simplify electrode position to judge, the position for excluding the grounding electrode RL away from remaining six electrode connects
Mistake, exclude the negative electrode CH1-, CH2- and CH3- of three close positions position wrong;
Step 2:Raw data acquisition, according to correct electrode position connected mode, for different test objects, adopt
The correct electrocardiogram (ECG) data that multiple time serieses are gathered with same ECG detecting equipment is stored in a raw data base, each
Time series includes a plurality of correct electrocardiogram (ECG) data of the same time collection in one group of interval, each correct electrocardio number
According to electrocardio test voltage CV1, CV2 and the CV3 for including first lead, the second lead and the 3rd lead;
Step 3:It is assumed that electrocardio test voltage CV1, CV2 and CV3 in each correct electrocardiogram (ECG) data, can
Carry out rebuilding acquisition by following formula 1, the formula 1 is:
CV1=b11*1+b12*CV2+b13*CV3
CV2=b21*1+b22*CV1+b23*CV3
CV3=b31*1+b32*CV1+b33*CV2
The correct electrocardiogram (ECG) data in the raw data base is substituted into the formula 1, calculates and obtains in the formula 1
Coefficient bk matrix numerical value:
Step 4:The matrix numerical value that the coefficient bk of acquisition will be calculated in step 3 substitutes into the formula 1, by the original
Described in electrocardio the test voltage CV1, CV2 and CV3 of each correct electrocardiogram (ECG) data in beginning database are equally substituted into
Formula 1, you can corresponding to obtain one group of virtual electrocardio voltage DV1, DV2 and DV3;
Calculate electrocardio the test voltage CV1, CV2 and CV3 of correct electrocardiogram (ECG) data described in one group of each time series and its
Corresponding virtual electrocardio the voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;
Define a linear function formula 2:
Z=T0+T1*f1+T2*f2+T3*f3
The coefficient correlation f1, f2 and f3 that each group of calculating is obtained substitute into formula 2 and can obtained corresponding to one
Function Z, each function Z is substituted into a decision-making formula 3:
Determined by the decision function g (Z) corresponding to correct electrocardiogram (ECG) data equal to 1, solution formula 3, pass through formula 3
The each function Z substitutions formula 2 obtained will be calculated, calculate the T coefficient matrix numerical value obtained in formula 2:
T=[T0 T1 T2 T3];
Step 5:Using ECG detecting equipment official testing electrocardiogram (ECG) data same in step 2, equally using step 1
The simplified electrode position judgment step, obtain a plurality of official testing electrocardiogram (ECG) data of multiple time serieses described first lead
Formal electrocardio test voltage CV1, CV2 and the CV3 of connection, the second lead and the 3rd lead;
The formal electrocardio test of a plurality of official testing electrocardiogram (ECG) data of the multiple time serieses obtained will be tested
The matrix numerical value that the coefficient bk of acquisition is calculated in voltage CV1, CV2 and CV3 and step 3 substitutes into the formula 1, each
Time series is corresponding to obtain one group of virtually formal voltage DV1, DV2 and DV3;
Calculate corresponding virtual of formal electrocardio test voltage CV1, CV2 and CV3 described in one group of each time series
Formal voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;Will calculate obtain the coefficient correlation f1, f2 and
F3 and step 4 calculate the T coefficient matrixes numerical value obtained and substitute into the numerical value that formula 2 obtains linear function Z, by the letter
Number Z numerical value substitutes into decision-making formula 3, calculates the numerical value for obtaining the decision function g (Z);
If the numerical value for calculating the decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, judge
Electrode position does not have wrong;
If the numerical value for calculating the decision function g (Z) obtained is less than the demarcation numerical value t, judge that electrode position connects
Mistake simultaneously sends the prompting that reports an error, repeat step five, until judging that electrode position does not have wrong.
Preferably, the sign data measurement module also includes:
Digital body temperature transducer, measured temperature data send sign data to by MCU serial ports process circuits and gathered
Card;
Blood sugar measuring instrument, measured blood glucose saturation degree send sign number to by MCU serial ports process circuits
According to capture card;
Digital blood pressure instrument, measured blood pressure data send sign data to by MCU serial ports process circuits and adopted
Truck;
Digital BOLD contrast, measured blood oxygen concentration data send sign number to by MCU serial ports process circuits
According to capture card.
Preferably, the wireless data sending module includes:
Data send determining unit, and the transmission for determining to send the pending sign data after formatting is handled is assisted
View;
Data transmission unit, for sending the transmission agreement of determining unit determination based on the data by formatting
The pending sign data after reason is sent to the intelligent monitoring device.
Preferably, the data send determining unit and included:
Subelement is parsed, for parsing the data acquisition instructions;Wherein, also comprising described in the data acquisition instructions
Send agreement;
Subelement is obtained, after parsing the data acquisition instructions in the parsing subelement, obtains and determines institute
State transmission agreement;
Determination subelement is sent, for determining that give tacit consent in the data transfer platform or selected transmission agreement is institute
State transmission agreement.
The present invention has advantages below and beneficial effect:(1) long-range collection sign data, especially electrocardio sign number in real time
According to suitable for elderly population;(2) using wireless communication technology transmission sign data, efficiency high, equipment, high financial profit are saved;
(3) whether the measured value of remotely intelligently monitoring electrocardio sign data and device location measurement connection are correct, reduce error in data
Possibility;(4) intelligent monitoring device Real time identification and display sign data, and instant alerts or alarm are carried out to abnormal data.
Brief description of the drawings
Fig. 1 shows a kind of block diagram 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.The device may include that sign data is examined
Measurement equipment 1, intelligent monitoring device 2 and data transfer platform 3.
Wherein, sign data detection device 1 includes:Sign data measurement module on sign data detection device
11st, sign data capture card 12 and data-interface 13, the sign data measurement module includes electrocardiogram (ECG) data measuring unit, described
Electrocardiogram (ECG) data measuring unit includes three lead ECG detecting equipments.
The sign data of collection is sent to the data-interface 13, data-interface 13 by the sign data capture card 12
According to host-host protocol set in advance, sign data is sent to data transfer platform 3.
The data transfer platform 3 includes:
Receiving module 31, the pending sign data sent for the data-interface 13;Wherein, the default sign number
The pending sign data is gathered according to data acquisition instructions according to capture card, waits to locate comprising described in the data acquisition instructions
Manage the data type of sign data;
Determining module 32, for determine the pending sign data data type whether with the receiving module receive
The data acquisition instructions in data type it is consistent;
Processing module 33, for the data type that the pending sign data is determined when the determining module and the number
According to the data type in acquisition instructions it is consistent when, the pending sign data is formatted by place according to preset specification rule
Reason, the preset specification rule are used for the form of pending sign data described in specification;
Wireless data sending module 34, for the pending sign data after the processing module formatting is handled
Send to the intelligent monitoring device.
Intelligent monitoring device 2 includes:Wireless data receipt modules 21, sign data comparing module 22, display and alarm are eventually
End 23 and control module 24;The wireless data receipt modules 21, receive what the terminal wireless data transmission blocks 34 were sent
Data;Control module 24 is used to carry out coordination control to each module in intelligent monitoring device.
Preferably, the three leads ECG detecting equipment includes CH1+, CH1-, CH2+, CH2-, CH3+, CH3-, RL totally seven
Individual electrode, wherein electrode CH1+ and CH1- form the both positive and negative polarity of the first lead;Electrode CH2+ and CH2- are forming the second lead just
Negative pole, electrode CH3+ and CH3- form the both positive and negative polarity of the 3rd lead, and electrode RL is grounding electrode, wherein electrode RL away from remaining six
Individual electrode, three negative electrodes CH1-, CH2- and CH3- position are close, and electrical potential difference is very small, therefore they are essentially equipotential,
Three positive electrodes CH1+, CH2+ and CH3+ are arranged in distal end.
Preferably, the electrocardiogram (ECG) data of measurement is passed through MCU serial ports process circuit and transmits donor by three lead ECG detecting equipments
Levy data collecting card 12.
Preferably, the sign data comparing module includes three lead ECG detecting electrode position identifying units, the unit
For by the way that electrocardiogram (ECG) data is compared, to judge whether electrode position is correct, the unit specifically to be carried out using following steps
Electrode position judges:
Step 1:Simplify electrode position to judge, the position for excluding the grounding electrode RL away from remaining six electrode connects
Mistake, exclude the negative electrode CH1-, CH2- and CH3- of three close positions position wrong;
Step 2:Raw data acquisition, according to correct electrode position connected mode, for different test objects, adopt
The correct electrocardiogram (ECG) data that multiple time serieses are gathered with same ECG detecting equipment is stored in a raw data base, each
Time series includes a plurality of correct electrocardiogram (ECG) data of the same time collection in one group of interval, each correct electrocardio number
According to electrocardio test voltage CV1, CV2 and the CV3 for including first lead, the second lead and the 3rd lead;
Step 3:It is assumed that electrocardio test voltage CV1, CV2 and CV3 in each correct electrocardiogram (ECG) data, can
Carry out rebuilding acquisition by following formula 1, the formula 1 is:
CV1=b11*1+b12*CV2+b13*CV3
CV2=b21*1+b22*CV1+b23*CV3
CV3=b31*1+b32*CV1+b33*CV2
The correct electrocardiogram (ECG) data in the raw data base is substituted into the formula 1, calculates and obtains in the formula 1
Coefficient bk matrix numerical value:
Step 4:The matrix numerical value that the coefficient bk of acquisition will be calculated in step 3 substitutes into the formula 1, by the original
Described in electrocardio the test voltage CV1, CV2 and CV3 of each correct electrocardiogram (ECG) data in beginning database are equally substituted into
Formula 1, you can corresponding to obtain one group of virtual electrocardio voltage DV1, DV2 and DV3;
Calculate electrocardio the test voltage CV1, CV2 and CV3 of correct electrocardiogram (ECG) data described in one group of each time series and its
Corresponding virtual electrocardio the voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;
Define a linear function formula 2:
Z=T0+T1*f1+T2*f2+T3*f3
The coefficient correlation f1, f2 and f3 that each group of calculating is obtained substitute into formula 2 and can obtained corresponding to one
Function Z, each function Z is substituted into a decision-making formula 3:
Determined by the decision function g (Z) corresponding to correct electrocardiogram (ECG) data equal to 1, solution formula 3, pass through formula 3
The each function Z substitutions formula 2 obtained will be calculated, calculate the T coefficient matrix numerical value obtained in formula 2:
T=[T0 T1 T2 T3];
Step 5:Using ECG detecting equipment official testing electrocardiogram (ECG) data same in step 2, equally using step 1
The simplified electrode position judgment step, obtain a plurality of official testing electrocardiogram (ECG) data of multiple time serieses described first lead
Formal electrocardio test voltage CV1, CV2 and the CV3 of connection, the second lead and the 3rd lead;
The formal electrocardio test of a plurality of official testing electrocardiogram (ECG) data of the multiple time serieses obtained will be tested
The matrix numerical value that the coefficient bk of acquisition is calculated in voltage CV1, CV2 and CV3 and step 3 substitutes into the formula 1, each
Time series is corresponding to obtain one group of virtually formal voltage DV1, DV2 and DV3;
Calculate corresponding virtual of formal electrocardio test voltage CV1, CV2 and CV3 described in one group of each time series
Formal voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;Will calculate obtain the coefficient correlation f1, f2 and
F3 and step 4 calculate the T coefficient matrixes numerical value obtained and substitute into the numerical value that formula 2 obtains linear function Z, by the letter
Number Z numerical value substitutes into decision-making formula 3, calculates the numerical value for obtaining the decision function g (Z);
If the numerical value for calculating the decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, judge
Electrode position does not have wrong;
If the numerical value for calculating the decision function g (Z) obtained is less than the demarcation numerical value t, judge that electrode position connects
Mistake simultaneously sends the prompting that reports an error, repeat step five, until judging that electrode position does not have wrong.
Preferably, the sign data measurement module 11 also includes:
Digital body temperature transducer, measured temperature data send sign data to by MCU serial ports process circuits and gathered
Card 12;
Blood sugar measuring instrument, measured blood glucose saturation degree send sign number to by MCU serial ports process circuits
According to capture card 12;
Digital blood pressure instrument, measured blood pressure data send sign data to by MCU serial ports process circuits and adopted
Truck 12;
Digital BOLD contrast, measured blood oxygen concentration data send sign number to by MCU serial ports process circuits
According to capture card 12.
Preferably, the wireless data sending module 34 includes:
Data send determining unit, and the transmission for determining to send the pending sign data after formatting is handled is assisted
View;
Data transmission unit, for sending the transmission agreement of determining unit determination based on the data by formatting
The pending sign data after reason is sent to the intelligent monitoring device.
Preferably, the data send determining unit and included:
Subelement is parsed, for parsing the data acquisition instructions;Wherein, also comprising described in the data acquisition instructions
Send agreement;
Subelement is obtained, after parsing the data acquisition instructions in the parsing subelement, obtains and determines institute
State transmission agreement;
Determination subelement is sent, for determining that give tacit consent in the data transfer platform or selected transmission agreement is institute
State transmission agreement.
The method that Fig. 2 shows a kind of human life collecting method of the present invention.This method specifically includes following step
Suddenly:
S1. sign data measurement module gathers multiple human body physical sign data including electrocardiogram (ECG) data, sign number in real time
Collect these sign datas according to capture card collection;
S2. sign data is sent to data transfer platform according to default host-host protocol via data-interface;
S3. data transfer platform is determined to sign data, handles and sent;
S4. intelligent monitoring device receives the sign data that data transfer platform is sent;
S5. remote supervisory and control(ling) equipment sign data is identified and display/alarm.
Preferably, sign data measurement module includes electrocardiogram (ECG) data measuring unit, and the electrocardiogram (ECG) data measuring unit includes
Three lead ECG detecting equipments, the three leads ECG detecting equipment include CH1+, CH1-, CH2+, CH2-, CH3+, CH3-, RL
Totally seven electrodes, wherein electrode CH1+ and CH1- form the both positive and negative polarity of the first lead;Electrode CH2+ and CH2- form the second lead
Both positive and negative polarity, electrode CH3+ and CH3- form the 3rd lead both positive and negative polarity, electrode RL is grounding electrode, and wherein electrode RL is away from it
Remaining six electrodes, three negative electrodes CH1-, CH2- and CH3- position are close, and electrical potential difference is very small, therefore they are essentially etc.
Potential, three positive electrodes CH1+, CH2+ and CH3+ are arranged in distal end.
Preferably, in step sl, three lead ECG detecting equipments handle the electrocardiogram (ECG) data of measurement by MCU serial ports
Circuit sends sign data capture card to;
Digital body temperature transducer sends measured temperature data to sign data by MCU serial ports process circuits and gathered
Card;
Blood sugar measuring instrument sends measured blood glucose saturation degree to sign number by MCU serial ports process circuits
According to capture card;
Digital blood pressure instrument sends measured blood pressure data to sign data by MCU serial ports process circuits and adopted
Truck;
Digital BOLD contrast sends measured blood oxygen concentration data to sign number by MCU serial ports process circuits
According to capture card.
Preferably, in step s 5, during sign data being identified, electrocardiogram (ECG) data is compared, to sentence
Whether disconnected three lead ECG detecting equipment electrode positions are correct, and specific determination step is as follows:
S51:Simplify electrode position to judge, exclude the position wrong of the grounding electrode RL away from remaining six electrode,
Exclude the negative electrode CH1-, CH2- and CH3- of three close positions position wrong;
S52:Raw data acquisition, according to correct electrode position connected mode, for different test objects, using same
The correct electrocardiogram (ECG) data that the ECG detecting equipment of sample gathers multiple time serieses is stored in a raw data base, each time
Sequence includes a plurality of correct electrocardiogram (ECG) data of the same time collection in one group of interval, each correct electrocardiogram (ECG) data bag
Include electrocardio test voltage CV1, CV2 and the CV3 of first lead, the second lead and the 3rd lead;
S53:It is assumed that electrocardio test voltage CV1, CV2 and CV3 in each correct electrocardiogram (ECG) data, can pass through
Following formula 1 carry out rebuilding acquisition, and the formula 1 is:
CV1=b11*1+b12*CV2+b13*CV3
CV2=b21*1+b22*CV1+b23*CV3
CV3=b31*1+b32*CV1+b33*CV2
The correct electrocardiogram (ECG) data in the raw data base is substituted into the formula 1, calculates and obtains in the formula 1
Coefficient bk matrix numerical value:
S54:The matrix numerical value that the coefficient bk of acquisition will be calculated in S53 substitutes into the formula 1, by the initial data
Electrocardio the test voltage CV1, CV2 and CV3 of each correct electrocardiogram (ECG) data in storehouse equally substitute into the formula 1,
It can correspond to and obtain one group of virtual electrocardio voltage DV1, DV2 and DV3;
Calculate electrocardio the test voltage CV1, CV2 and CV3 of correct electrocardiogram (ECG) data described in one group of each time series and its
Corresponding virtual electrocardio the voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;
Define a linear function formula 2:
Z=T0+T1*f1+T2*f2+T3*f3
The coefficient correlation f1, f2 and f3 that each group of calculating is obtained substitute into formula 2 and can obtained corresponding to one
Function Z, each function Z is substituted into a decision-making formula 3:
Determined by the decision function g (Z) corresponding to correct electrocardiogram (ECG) data equal to 1, solution formula 3, pass through formula 3
The each function Z substitutions formula 2 obtained will be calculated, calculate the T coefficient matrix numerical value obtained in formula 2:
T=[T0 T1 T2 T3];
S55:Using ECG detecting equipment official testing electrocardiogram (ECG) data same in S52, the same simplification for using S51
Electrode position judgment step, obtain first lead of a plurality of official testing electrocardiogram (ECG) data of multiple time serieses, second lead
Formal electrocardio test voltage CV1, CV2 and the CV3 of connection and the 3rd lead;
The formal electrocardio test of a plurality of official testing electrocardiogram (ECG) data of the multiple time serieses obtained will be tested
The matrix numerical value that the coefficient bk of acquisition is calculated in voltage CV1, CV2 and CV3 and S53 substitutes into the formula 1, each time
Sequence pair should obtain one group of virtually formal voltage DV1, DV2 and DV3;
Calculate corresponding virtual of formal electrocardio test voltage CV1, CV2 and CV3 described in one group of each time series
Formal voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;Will calculate obtain the coefficient correlation f1, f2 and
F3 and S54 calculates the T coefficient matrixes numerical value obtained and substitutes into the numerical value that formula 2 obtains linear function Z, by the function Z
Numerical value substitute into decision-making formula 3, calculate the numerical value for obtaining the decision function g (Z);
If the numerical value for calculating the decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, judge
Electrode position does not have wrong;
If the numerical value for calculating the decision function g (Z) obtained is less than the demarcation numerical value t, judge that electrode position connects
Mistake simultaneously sends the prompting that reports an error, and S55 is repeated, until judging that electrode position does not have wrong.
Preferably, the S52 further comprises that database increases step:By each institute in the raw data base
Electrocardio the test voltage CV1, CV2 and CV3 stated in correct electrocardiogram (ECG) data carries out permutation and combination, forms five new mistakes
Electrocardiogram (ECG) data is simultaneously stored in the raw data base.
Preferably, step S3 specifically includes following sub-step:
S31. the pending sign data that default sign data capture card is sent is received;
After sign data capture card has gathered pending sign data from client, the pending sign data is sent out
Deliver in data transfer platform, data transfer platform receives the pending sign data and enters row format to the pending sign data
Change is handled, and after processing, the pending sign data after processing is sent to intelligent monitoring device.Wherein, data transfer platform
The pending sign data received may be one, it is also possible to be multiple.
S32. determine the pending sign data data type whether with the data class in the data acquisition instructions
Type is consistent.
After data transfer platform receives pending sign data, first, the number of pending sign data is determined,
If the number of pending sign data is at least two, need to determine the pending body at least two pending sign datas respectively
Levy the data type of data;Secondly, the data type in acquisition data acquisition instructions determines pending with data transfer platform
Whether the data type of sign data is consistent.
Data type of the data transfer platform except determining pending sign data, in addition to:Determine pending sign number
According to whether the length information etc. comprising spcial character, pending sign data.If it is determined that spy is included in pending sign data
Different character, then the pending sign data comprising spcial character is subjected to coded treatment;If the length of pending sign data surpasses
Pre-set length threshold is crossed, then is intercepted the pending sign data according to pre-set length threshold, wherein, the preset length
Threshold value is set to be artificial, when setting pre-set length threshold, data type progress that be based on different pending sign datas
Set.
If S33. consistent, the pending sign data is formatted by processing according to preset specification rule.
When it is determined that the pending sign data data type whether with the data type in the data acquisition instructions
When consistent, it is the data that server needs gather to illustrate the pending sign data.In data transfer platform, to server
Before sending pending sign data, due to the specific number of the uncertain pending sign data received, it is therefore desirable to treat
Processing sign data is formatted.If the number of pending sign data is at least two, need at least two to treat this
Processing sign data is spliced, and place is being formatted to spliced pending sign data according to preset specification rule
Reason;Wherein, preset specification rule is used for the form of pending sign data described in specification.
S34. the pending sign data after formatting is handled is sent to server.
Pending sign data after formatting is handled is sent to server, is realized real in a data acquisition platform
The pending sign data collection of existing numerous types of data.
As described above, although the embodiment and accompanying drawing that are limited according to embodiment are illustrated, to the art
Various modification and variation can be carried out for technical staff with general knowledge from above-mentioned record.For example, according to explanation
Technology in illustrated method mutually different order carry out, and/or according to the system with explanation, structure, device, circuit etc.
The mutually different form of method illustrated by inscape is combined or combined, or is carried out according to other inscapes or equipollent
Replace or displacement also may achieve appropriate effect.For general technical staff of the technical field of the invention, do not taking off
On the premise of from present inventive concept, some equivalent substitutes or obvious modification are made, and performance or purposes are identical, should all be considered as
Belong to protection scope of the present invention.
Claims (5)
1. a kind of intelligent remote sign data harvester, the device include sign data detection device, intelligent monitoring device and
Data transfer platform;
Wherein, sign data detection device includes:Sign data measurement module on sign data detection device, sign
Data collecting card and data-interface, the sign data measurement module include electrocardiogram (ECG) data measuring unit, and the electrocardiogram (ECG) data is surveyed
Amount unit includes three lead ECG detecting equipments;
Wherein, the sign data capture card gathers pending sign data according to data acquisition instructions, and the data acquisition refers to
The data type of the pending sign data is included in order;
The sign data of collection is sent to the data-interface by the sign data capture card, and data-interface is according to presetting
Host-host protocol, sign data is sent to data transfer platform;
The data transfer platform includes:
Receiving module, the pending sign data sent for receiving the data-interface;
Determining module, for determine the pending sign data data type whether with the receiving module receive described in
Data type in data acquisition instructions is consistent;
Processing module, for the data type that the pending sign data is determined when the determining module and the data acquisition
When data type in instruction is consistent, the pending sign data is formatted by processing, institute according to preset specification rule
State the form that preset specification rule is used for pending sign data described in specification;
Wireless data sending module, for by the processing module formatting handle after the pending sign data send to
The intelligent monitoring device;
Intelligent monitoring device includes:Wireless data receipt modules, sign data comparing module, display and alarm terminal and control mould
Block;The wireless data receipt modules, receive the data that the wireless data sending module is sent;Control module is used for intelligence
Each module carries out coordination control in monitoring device;
Wherein, the three leads ECG detecting equipment includes CH1+, CH1-, CH2+, CH2-, CH3+, CH3-, RL totally seven electricity
Pole, wherein electrode CH1+ and CH1- form the both positive and negative polarity of the first lead;Electrode CH2+ and CH2- form the both positive and negative polarity of the second lead,
Electrode CH3+ and CH3- form the both positive and negative polarity of the 3rd lead, and electrode RL is grounding electrode, and wherein electrode RL is away from remaining six electricity
Pole, three negative electrodes CH1-, CH2- and CH3- position are close, and electrical potential difference is very small, therefore they are essentially equipotential, three
Positive electrode CH1+, CH2+ and CH3+ are arranged in distal end;
The sign data comparing module includes three lead ECG detecting electrode position identifying units, and the unit is used for by the heart
Electric data are compared, and to judge whether electrode position is correct, the unit specifically carries out electrode position judgement using following steps:
Step 1:Simplify electrode position to judge, exclude the position wrong of the grounding electrode RL away from remaining six electrode, row
Except the negative electrode CH1-, CH2- and CH3- of three close positions position wrong;
Step 2:Raw data acquisition, according to correct electrode position connected mode, for different test objects, using same
The correct electrocardiogram (ECG) data that the ECG detecting equipment of sample gathers multiple time serieses is stored in a raw data base, each time
Sequence includes a plurality of correct electrocardiogram (ECG) data of the same time collection in one group of interval, each correct electrocardiogram (ECG) data bag
Include electrocardio test voltage CV1, CV2 and the CV3 of first lead, the second lead and the 3rd lead;
Step 3:It is assumed that electrocardio test voltage CV1, CV2 and CV3 in each correct electrocardiogram (ECG) data, can pass through
Following formula 1 carry out rebuilding acquisition, and the formula 1 is:
CV1=b11*1+b12*CV2+b13*CV3
CV2=b21*1+b22*CV1+b23*CV3
CV3=b31*1+b32*CV1+b33*CV2
The correct electrocardiogram (ECG) data in the raw data base is substituted into the formula 1, calculating, which is obtained in the formula 1, is
Number bk matrix numerical value:
<mrow>
<mi>b</mi>
<mi>k</mi>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<mi>b</mi>
<mn>11</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>b</mi>
<mn>12</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>b</mi>
<mn>13</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>b</mi>
<mn>21</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>b</mi>
<mn>22</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>b</mi>
<mn>23</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>b</mi>
<mn>31</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>b</mi>
<mn>32</mn>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>b</mi>
<mn>33</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>;</mo>
</mrow>
Step 4:The matrix numerical value that the coefficient bk of acquisition will be calculated in step 3 substitutes into the formula 1, by the original number
The formula is equally substituted into according to electrocardio the test voltage CV1, CV2 and CV3 of the correct electrocardiogram (ECG) data of each in storehouse
1, you can corresponding to obtain one group of virtual electrocardio voltage DV1, DV2 and DV3;
Electrocardio the test voltage CV1, CV2 and CV3 for calculating correct electrocardiogram (ECG) data described in one group of each time series are corresponding
Virtual electrocardio the voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;
Define a linear function formula 2:
Z=T0+T1*f1+T2*f2+T3*f3
The coefficient correlation f1, f2 and f3 that each group of calculating is obtained, which substitute into formula 2, can obtain a corresponding function
Z, each function Z is substituted into a decision-making formula 3:
<mrow>
<mi>g</mi>
<mrow>
<mo>(</mo>
<mi>Z</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>1</mn>
<mo>+</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mi>Z</mi>
</mrow>
</msup>
</mrow>
</mfrac>
</mrow>
Determined equal to 1 by the decision function g (Z) corresponding to correct electrocardiogram (ECG) data, solution formula 3, will be counted by formula 3
Calculate each function Z obtained and substitute into formula 2, calculate the T coefficient matrix numerical value obtained in formula 2:
T=[T0 T1 T2 T3];
Step 5:Using ECG detecting equipment official testing electrocardiogram (ECG) data same in step 2, the same institute for using step 1
State simplified electrode position judgment step, obtain a plurality of official testing electrocardiogram (ECG) data of multiple time serieses first lead,
Formal electrocardio test voltage CV1, CV2 and the CV3 of second lead and the 3rd lead;
The formal electrocardio test voltage of a plurality of official testing electrocardiogram (ECG) data of the multiple time serieses obtained will be tested
The matrix numerical value that the coefficient bk of acquisition is calculated in CV1, CV2 and CV3 and step 3 substitutes into the formula 1, each time
Sequence pair should obtain one group of virtually formal voltage DV1, DV2 and DV3;
Calculate corresponding virtual formal of formal electrocardio test voltage CV1, CV2 and CV3 described in one group of each time series
Voltage DV1, coefficient correlation f1, f2 and f3 between DV2 and DV3;By calculate obtain the coefficient correlation f1, f2 and f3 with
And step 4 calculates the T coefficient matrixes numerical value obtained and substitutes into the numerical value that formula 2 obtains linear function Z, by the function Z's
Numerical value substitutes into decision-making formula 3, calculates the numerical value for obtaining the decision function g (Z);
If the numerical value for calculating the decision function g (Z) obtained is more than or equal to the demarcation numerical value t of a setting, electrode is judged
Position does not have wrong;
If the numerical value for calculating the decision function g (Z) obtained is less than the demarcation numerical value t, electrode position wrong is judged simultaneously
The prompting that reports an error, repeat step five are sent, until judging that electrode position does not have wrong.
2. device as claimed in claim 1, it is characterised in that:Three lead ECG detecting equipments lead to the electrocardiogram (ECG) data of measurement
Cross MCU serial ports process circuits and send sign data capture card to.
3. device as claimed in claim 2, it is characterised in that:The sign data measurement module also includes:
Digital body temperature transducer, measured temperature data send sign data capture card to by MCU serial ports process circuits;
Blood sugar measuring instrument, measured blood glucose saturation degree send sign data capture card to by MCU serial ports process circuits;
Digital blood pressure instrument, measured blood pressure data send sign data capture card to by MCU serial ports process circuits;
Digital BOLD contrast, measured blood oxygen concentration data send sign data capture card to by MCU serial ports process circuits.
4. device as claimed in claim 1, it is characterised in that:The wireless data sending module includes:
Data send determining unit, and the transmission agreement of the pending sign data after formatting processing is sent for determination;
Data transmission unit, after the transmission agreement for being sent determining unit determination based on the data is handled formatting
The pending sign data send to the intelligent monitoring device.
5. device as claimed in claim 4, it is characterised in that:The data, which send determining unit, to be included:
Subelement is parsed, for parsing the data acquisition instructions;Wherein, the transmission is also included in the data acquisition instructions
Agreement;
Subelement is obtained, after parsing the data acquisition instructions in the parsing subelement, obtains and determines the hair
Send agreement;
Determination subelement is sent, for determining that give tacit consent in the data transfer platform or selected transmission agreement is the hair
Send agreement.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610014923.1A CN105528857B (en) | 2016-01-11 | 2016-01-11 | A kind of intelligent remote sign data harvester |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610014923.1A CN105528857B (en) | 2016-01-11 | 2016-01-11 | A kind of intelligent remote sign data harvester |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105528857A CN105528857A (en) | 2016-04-27 |
CN105528857B true CN105528857B (en) | 2018-01-05 |
Family
ID=55771052
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610014923.1A Active CN105528857B (en) | 2016-01-11 | 2016-01-11 | A kind of intelligent remote sign data harvester |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105528857B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106572094B (en) * | 2016-10-31 | 2019-09-03 | 高峰 | Intelligent identification system based on authority data chain format |
CN109480818B (en) * | 2017-09-12 | 2021-11-09 | 中国移动通信有限公司研究院 | Method and device for processing physiological data signal across hardware platform |
CN110488715A (en) * | 2019-09-02 | 2019-11-22 | 河南城建学院 | A kind of automatic test equipment based on electronic information technology |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6282440B1 (en) * | 1999-12-31 | 2001-08-28 | Ge Marquette Medical Systems, Inc. | Method to identify electrode placement |
US20090060287A1 (en) * | 2007-09-05 | 2009-03-05 | Hyde Roderick A | Physiological condition measuring device |
CN201227274Y (en) * | 2008-04-21 | 2009-04-29 | 天津工业大学 | Standard three-lead electro-cardio wireless sensor network system |
CN102631246A (en) * | 2012-04-17 | 2012-08-15 | 苏州博康生物医疗科技有限公司 | Method for monitoring physiological and pathological data |
CN102961130A (en) * | 2012-12-06 | 2013-03-13 | 常州普适信息科技有限公司 | Wireless three-electrode ECG (electrocardiogram) acquisition system |
CN103393413B (en) * | 2013-08-15 | 2015-06-10 | 宁波江丰生物信息技术有限公司 | Medical monitoring system and monitoring method |
CN204218904U (en) * | 2014-10-24 | 2015-03-25 | 深圳市迈迪加科技发展有限公司 | A kind of portable three lead electrocardiograph monitoring device |
-
2016
- 2016-01-11 CN CN201610014923.1A patent/CN105528857B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN105528857A (en) | 2016-04-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105997072B (en) | A kind of electrode contact condition detection method of the electrical impedance detection based on measurement accuracy | |
CN104523252B (en) | A kind of mobile health service method and system, mobile terminal | |
US20150342538A1 (en) | Custom early warning scoring for medical device | |
CN105528857B (en) | A kind of intelligent remote sign data harvester | |
CN206007231U (en) | A kind of telemedicine monitoring system based on cloud platform | |
CN103637784B (en) | Based on the physiological parameter acquisition system of ZigBee technology | |
TW201430756A (en) | Ward cloud system | |
CN206863748U (en) | A kind of family health care management system | |
CN206443702U (en) | A kind of noninvasive dynamics monitoring device | |
CN103784124A (en) | Automatic storage method of human body health data | |
CN105662396B (en) | A kind of human life collecting method | |
JP5544365B2 (en) | Improvements in multi-parameter monitoring or improvements related to multi-parameter monitoring | |
CN204744132U (en) | Long -range health detection and service system | |
Kristiani et al. | The measuring of vital signs using Internet of Things technology (heart rate and respiration) | |
CN114464321A (en) | Intelligent medical system based on big data | |
CN107516019A (en) | Noninvasive health forecast system and method | |
CN110974201A (en) | Wireless medical monitoring system | |
CN207236771U (en) | A kind of infrared body temperature detector and infrared body temperature detecting system | |
CN116548938A (en) | Anti-infection isolation sign state monitoring equipment and monitoring system for clinical medicine | |
CN105286854B (en) | A kind of remote ecg monitoring method | |
CN103948384A (en) | Electrocardiogram instrument and electrocardiogram collecting and monitoring system | |
CN107753036A (en) | A kind of blood information collection monitoring system of real-time update | |
CN105310687B (en) | Dynamic electrocardiogram method for real-time monitoring based on mobile Internet | |
CN110251140A (en) | A kind of blood sugar detecting method and equipment | |
CN113539461B (en) | Body temperature anomaly monitoring feedback system based on big data analysis |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |