CN108354604A - A kind of cardiac monitoring equipment - Google Patents
A kind of cardiac monitoring equipment Download PDFInfo
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- CN108354604A CN108354604A CN201810155207.4A CN201810155207A CN108354604A CN 108354604 A CN108354604 A CN 108354604A CN 201810155207 A CN201810155207 A CN 201810155207A CN 108354604 A CN108354604 A CN 108354604A
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- 230000000747 cardiac effect Effects 0.000 title claims abstract description 45
- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 29
- 230000033001 locomotion Effects 0.000 claims abstract description 21
- 230000003993 interaction Effects 0.000 claims abstract description 18
- 230000005540 biological transmission Effects 0.000 claims description 16
- 230000001133 acceleration Effects 0.000 claims description 15
- 230000003068 static effect Effects 0.000 claims description 14
- 238000012360 testing method Methods 0.000 claims description 12
- 238000002567 electromyography Methods 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000003745 diagnosis Methods 0.000 claims description 9
- 210000003205 muscle Anatomy 0.000 claims description 7
- 206010027439 Metal poisoning Diseases 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 238000010835 comparative analysis Methods 0.000 claims description 4
- 238000013461 design Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims 1
- 238000001514 detection method Methods 0.000 abstract description 3
- 208000006218 bradycardia Diseases 0.000 description 6
- 230000036471 bradycardia Effects 0.000 description 6
- 238000000034 method Methods 0.000 description 5
- 208000001871 Tachycardia Diseases 0.000 description 4
- 230000006794 tachycardia Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000002565 electrocardiography Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000000047 product Substances 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 206010003658 Atrial Fibrillation Diseases 0.000 description 1
- 206010003662 Atrial flutter Diseases 0.000 description 1
- 206010003671 Atrioventricular Block Diseases 0.000 description 1
- 206010012118 Defect conduction intraventricular Diseases 0.000 description 1
- 206010040736 Sinoatrial block Diseases 0.000 description 1
- 241000209140 Triticum Species 0.000 description 1
- 235000021307 Triticum Nutrition 0.000 description 1
- 230000002547 anomalous effect Effects 0.000 description 1
- 230000001746 atrial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004132 cross linking Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—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
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physiology (AREA)
- Cardiology (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present invention provides a kind of cardiac monitoring equipment, including host, optional wireless electrocardio attachment and optional wireless myoelectricity attachment；The host includes the first computing module, and the first computing module connects human-computer interaction module, the first wireless module, baseband module, the first power module, the first electrocardio processing module, locating module, and the first electrocardiogram acquisition module connects the first electrocardio processing module；The optional wireless electrocardio attachment includes the second computing module, and the second computing module connects the second wireless module, the second electrocardio processing module, second power supply module, and the second electrocardiogram acquisition module connects the second electrocardio processing module；The optional wireless myoelectricity attachment includes third computing module, and third computing module connects third wireless module, myoelectricity processing module, third power module, and myoelectricity acquisition module connects myoelectricity processing module.The configuration of the present invention is simple, the flexibility used is high, and the accuracy of detection data is high, and safety is good, and can be used for motion monitoring.
Description
Technical field
The present invention relates to a kind of cardiac monitoring equipment, belong to the field of medical instrument technology.
Background technology
Cardiac monitoring equipment is a kind of common medical instrument, and existing cardiac monitoring equipment is primarily present following problem：
1, the transmission of alert data and real time data is realized by operator 2G, 3G, 4G, it is domestic at present it cannot be guaranteed that each
The mobile network of the network in place covers comprehensively, place especially intensive in building, and the signal of 2G, 3G, 4G may be bad,
Warning message is caused to send failure.
2, the structure of wired cardiac diagnosis lead and myoelectricity patch is usually used, mode is fixed, dumb, and it is big to wear burden.
3, myoelectricity noise is only eliminated by the filter of fixed frequency, effect is undesirable, and myoelectricity is affected to cardiac electrical,
Ambulatory ecg signal is of poor quality.
4, it is only applicable to stationary state monitoring to use, is not applied for motion monitoring use.
5, current product is all that simple microcontroller acquisition and communication module send system, and confidentiality is weak, and there are cores
The risk of algorithm leakage.
Invention content
The technical problem to be solved by the present invention is to how improve the flexibility of cardiac monitoring equipment, accuracy and safety.
In order to solve the above-mentioned technical problem, the technical solution of the present invention is to provide a kind of cardiac monitoring equipment, feature exists
In：Including host, optional wireless electrocardio attachment and optional wireless myoelectricity attachment；
The host includes the first computing module, and the first computing module connects human-computer interaction module, the first wireless module, base
Band module, the first power module, the first electrocardio processing module, locating module, the first electrocardiogram acquisition module connect at the first electrocardio
Manage module；
The optional wireless electrocardio attachment includes the second computing module, and the second computing module connects the second wireless module, the
Disloyalty electric treatment module, second power supply module, the second electrocardiogram acquisition module connect the second electrocardio processing module；
The optional wireless myoelectricity attachment includes third computing module, and third computing module connects third wireless module, flesh
Electric treatment module, third power module, myoelectricity acquisition module connect myoelectricity processing module；
The host is attached with optional wireless electrocardio attachment by the first wireless module and the second wireless module, described
Host is attached with optional wireless myoelectricity attachment by the first wireless module and third wireless module.
Preferably, first computing module includes CPU, RAM, FLASH, CPU connection RAM and FLASH；Second meter
Calculate module, third computing module is MCU；
First power module, second power supply module, third power module is supplying cells and/or have charge function
Power supply USB；
First wireless module, the second wireless module, third wireless module are WIFI module and/or bluetooth module；
First electrocardiogram acquisition module includes cardiac diagnosis lead-line, and single lead patch or multi-lead patch connect cardiac diagnosis lead
Line；
Second electrocardiogram acquisition module is single lead patch；
The baseband module is the communication uplink and downlink function, frequency band support different operators for being capable of providing 2G 3G 4G
The whole network it is logical while the module that the network connection of NB-IOT is supported being provided.
It is highly preferred that the human-computer interaction module include display screen, button, touch screen, camera, for being worn on user
With it and detect user movable information 3 axle acceleration sensors, display screen, button, touch screen, camera, 3 axle accelerations
Sensor is connect with the CPU.
Further, when host work, the first electrocardiogram acquisition module connects human test's point, and the signal of test point is by first
Electrocardio processing module acquires, the conversion of the signal of acquisition Jing Guo analog to digital, and is transferred to the first computing module, the first calculating
Module is filtered the electrocardiogram (ECG) data signal of acquisition, and electrocardio alarm threshold value is arranged, and is more than when discovery has electrocardio data-signal
After electrocardio alarm threshold value, notify the wearer of host by human-computer interaction module, at the same by baseband module by warning message and
Alert data is sent to remote server；The geographical location information of user is recorded in local by locating module at any time, while passing through base
Band module is uploaded to remote server；
When optional wireless electrocardio attachment work, the second electrocardiogram acquisition module connects human test's point, the signal quilt of test point
Second electrocardio processing module acquires, the conversion of the signal of acquisition Jing Guo analog to digital, and is transferred to the second computing module；Second
The electrocardiogram (ECG) data signal of acquisition is transferred to the first wireless module of host by computing module by the second wireless module, and then is passed again
It is defeated by the first computing module of host；First computing module is filtered the electrocardiogram (ECG) data signal of acquisition, and electrocardio report is arranged
Alert threshold value notifies the wearing of host by human-computer interaction module after finding to have electrocardio data-signal to be more than electrocardio alarm threshold value
People, while warning message and alert data are sent to by remote server by baseband module；
When optional wireless myoelectricity attachment work, human muscle surface is attached to by myoelectricity acquisition module, electromyography signal is by flesh
Electric treatment module acquires, the conversion of the signal of acquisition Jing Guo analog to digital, and is transferred to third computing module；Third calculates mould
The myoelectricity data-signal of acquisition is transferred to the first wireless module of host by block by third wireless module, and then is transmitted further to master
First computing module of machine；First computing module is filtered the myoelectricity data-signal of acquisition, and myoelectricity alarm threshold value is arranged,
After finding to there is myoelectricity data-signal to be more than myoelectricity alarm threshold value, the wearer of host is notified by human-computer interaction module, simultaneously
Warning message and alert data are sent to remote server by baseband module.
Further, host can be used only and carries out electrocardiogram acquisition, host needs to be fixed on wearer at this time；
Optional wireless electrocardio attachment can be used to carry out electrocardiogram acquisition, host is not required to be fixed on wearer at this time, and need to only wear can
Select wireless electrocardio attachment；Can also both host and optional wireless electrocardio attachment use simultaneously.
Further, warning message and alert data are sent to remotely by the baseband module by 2G, 3G or 4G network
Server, once after alert data sends failure by 2G, 3G or 4G network, select NB-IOT networks to be sent, and NB-
IOT networks first send warning message, it is ensured that warning message is first sent, and then retransmits alert data；Because of alert data
Conveying capacity be more than warning message, it is possible to send failure.
Further, first computing module is separated into direct current letter first to the myoelectricity data-signal of acquisition
Number and AC signal；The direct current signal of myoelectricity can cause cardiac electrical baseline drift, so electrocardiogram (ECG) data signal is subtracted myoelectricity
Direct current signal, to offset cardiac electrical baseline drift；And Fourier transformation is done to the AC signal of myoelectricity, find AC signal
Peak swing Frequency point does electrocardiogram (ECG) data signal the bandreject filtering of the peak swing frequency, to which dynamic reduces myoelectricity pair
Cardiac electrical influence improves ambulatory ecg signal quality.
Further, the movable information of user is recorded in real time by 3 axle acceleration sensors, assistant analysis electrocardio changes
The reason of, or carry out motion monitoring；
When motion monitoring, by locating module and 3 axle acceleration sensors, the movement rate and energy of calculating user disappear
The degree of fatigue of user is assessed in the influence of consumption, comparative evaluation movement front and back electrocardio, electromyography signal, and user is reminded to pay attention to stopping
Breath.
Further, the effect of ECG detecting is best when human body is static, is screened in the data of a period of time record
The data of electrocardiogram when human body is static are identified as high quality static state electrocardiogram；Judge that the static mode of human body has：Positioning mould block number
According to not changing, i.e., human body is not walked about；3 axle acceleration sensor data do not change, i.e., human body does not have position chanP；Myoelectricity
Data-signal variation is less than setting value, i.e. human muscle does not move.
Further, using the Software for Design of layering, Linux drive program layer is responsible for connecting bottom digital signal, will
Electrocardio, myoelectricity digital data transmission are to upper layer；Linux embedded programs are responsible for data and comb and preserve, and are called to real-time files
Warning algorithm real-time early warning；The android APP of top layer are responsible for data displaying, send.
Compared with prior art, the present invention has the advantages that：
1, the transmission success rate of warning message is improved.Once present invention alert data is sent by the network of 2G, 3G, 4G
After failure, NB-IOT networks can be selected to be sent, the covering power of NB-IOT networks is better than 2G, 3G, 4G.NB-IOT networks
First send warning message, it is ensured that warning message is first sent, and then retransmits alert data.Because alert data amount is more than report
Alert information, it is possible to send failure.
2, wearing mode is flexible.The present invention provides the combinations of wired cardiac diagnosis lead and wireless electrocardio patch, myoelectricity patch
Mounting means can be optionally combined.Wireless patch can be only used, reduces and wears burden.
3, ambulatory ecg signal quality is improved.The present invention provides a kind of sides eliminating electrocardio noise by electromyography signal
Method can dynamically reduce myoelectricity to cardiac electrical influence, improve ambulatory ecg signal quality.
4, it is suitable for motion monitoring to use.The present invention can calculate the movement rate of patient, by adding by GPS positioning
Velocity sensor may determine that user's leg speed, and the energy expenditure of patient can be substantially recorded by these.Before comparative evaluation movement
The influence of electrocardio, electromyography signal afterwards reminds patient's rest to assess the degree of fatigue of patient.
5, Data Detection quality is high.Electrocardiogram when selective mechanisms human body is static in the data of non-volatile recording (not moving)
Data, be identified as high quality static state electrocardiogram.The effect of Electrocardiography is best when human body is static, mainly identifies GPS
Data do not move (human body is not walked about), acceleration transducer data are not widely varied and (do not have position chanP), myoelectricity
It is not widely varied (muscle does not move).
6, good confidentiality, it is safe.The software design scheme of layering is used, Linux drive program layer is mainly responsible for
Bottom digital signal is connected, by electrocardio, myoelectricity digital data transmission to upper layer.Linux embedded programs are mainly responsible for data comb
Reason and preservation call warning algorithm real-time early warning to real-time files.The android APP of top layer are responsible for data displaying, send
Etc. functions.The benefit of the layering is that the algorithm of core is put into linux embedded programs, can prevent APP decompilings, prevent core
Center algorithm is revealed.
Description of the drawings
Fig. 1 is cardiac monitoring EM equipment module figure provided in this embodiment；
Fig. 2 is the Software for Design schematic diagram of layering.
Specific implementation mode
Present invention will be further explained below with reference to specific examples.
A kind of cardiac monitoring equipment is present embodiments provided, is made of host and optional wireless accessory.Optional wireless accessory
Including optional wireless electrocardio attachment and optional wireless myoelectricity attachment.
One, host
In conjunction with Fig. 1, host is by computing module, human-computer interaction module, wireless module, baseband module, power module, electrocardio
Manage module, electrocardiogram acquisition module, locating module composition.Computing module connect human-computer interaction module, wireless module, baseband module,
Power module, electrocardio processing module, locating module, electrocardiogram acquisition module connect electrocardio processing module.
The composition and function of each module of host are as follows：
Computing module：Main group becomes CPU, RAM, FLASH.CPU is responsible for ordering calculation, ephemeral data is cached in RAM,
The data recorded are needed to store in FLASH again.CPU is supported other module interfaces.
Human-computer interaction module：Mainly display screen, button, touch screen, camera, 3 axle acceleration sensors, loudspeaker, wheat
Gram.Corresponding function is realized by the interface circuit of CPU, meets the needs of human-computer interaction.3 axle acceleration sensors are worn on user
With, the motion conditions for recording user in real time：Walking is run, sleep, the movable informations such as body overturning in sleep.
Power module：Major function is to provide power supply for entire host.It is battery powered or USB powers, while USB can
To provide charge function.
Wireless module：It is mainly used for extending optional wireless accessory.Wireless connection type is WIFI and bluetooth, by connecing
Mouth is connected to CPU.
Baseband module：Main function be to provide 2G 3G 4G communication uplink and downlink function.Frequency band supports different operations
The whole network of quotient is logical.The network connection for providing NB-IOT simultaneously is supported.
Electrocardio processing module：Main function is to acquire cardiac electrical analog signal in real time, is converted into digital signal, submits to
CPU.Main composition is multiple electrocardiogram acquisition chips and a Micro-processor MCV.Micro-processor MCV is optional part, if choosing
Match, then data access CPU from electrocardiogram acquisition chip access Micro-processor MCV；If do not matched, data are from electrocardiogram acquisition core
Piece is directly accessed CPU.
Electrocardiogram acquisition module：It is primarily used to acquisition electrocardiosignal.Main composition is cardiac diagnosis lead-line, single lead patch,
Multi-lead patch.
Locating module：It is primarily used to positioning user location.Composition includes GPS and A-GPS.
Two, optional wireless electrocardio attachment
In conjunction with Fig. 1, optional wireless electrocardio attachment is mainly by wireless module, electrocardio processing module, electrocardiogram acquisition module, calculating
Module, power module composition.Computing module connects wireless module, electrocardio processing module, power module, electrocardiogram acquisition module connection
Electrocardio processing module.
The composition and function of optional wireless each module of electrocardio attachment are as follows：
Computing module：Main group becomes MCU.Function is exactly to execute instruction, and provide interface for other modules.
Power module：Major function is to provide power supply for entire attachment.It is battery powered or USB powers, while USB
Charge function can be provided.
Wireless module：It is mainly used for connection host.Wireless connection type is WIFI and bluetooth, is connected to by interface
MCU。
Electrocardio processing module：Main function is to acquire cardiac electrical analog signal in real time, is converted into digital signal, submits to
CPU.Main composition is multiple electrocardiogram acquisition chips.
Electrocardiogram acquisition module：It is primarily used to acquisition electrocardiosignal.Main composition is cardiac electrical electrode patch, single lead patch
Piece.
Three, optional wireless myoelectricity attachment
In conjunction with Fig. 1, optional wireless myoelectricity attachment is mainly by wireless module, myoelectricity processing module, myoelectricity acquisition module, calculating
Module, power module composition.Computing module connects wireless module, myoelectricity processing module, power module, the connection of myoelectricity processing module
Myoelectricity acquisition module.
The composition and function of optional wireless each module of myoelectricity attachment are as follows：
Computing module：Main group becomes MCU.Function is exactly to execute instruction, and provide interface for other modules.
Power module：Major function is to provide power supply for entire attachment.It is battery powered or USB powers, while USB
Charge function can be provided.
Wireless module：It is mainly used for connection host.Wireless on-link mode (OLM) is WIFI and bluetooth, is connected to by interface
MCU。
Myoelectricity processing module：Main function is the analog signal of real-time acquisition myoelectricity, is converted into digital signal, submits to
CPU.Main composition is myoelectricity acquisition chip.
Myoelectricity acquisition module：It is primarily used to acquisition electromyography signal.Main composition is the electrode patch of myoelectricity, single lead patch
Piece.
Four, workflow
1, host work flow
Cardiac diagnosis lead-line connects human test's point by patch, and the signal of test point is acquired by electrocardio processing module, acquires
Afterwards by the conversion of analog to digital, by digital data transmission to computing module, computing module is filtered data, by electrocardio
Signal, by human-computer interaction interface, notifies the wearer of host by algorithm early warning after finding to have pre-warning signal, leads to simultaneously
Baseband module is crossed, by warning message by 2G/3G/4G, NB-IOT networks are sent to remote server.
2, optional wireless electrocardio attachment workflow
Optional wireless electrocardio attachment connects human test's point by crosslinking electrode, and the signal of test point is by electrocardio processing module
Acquisition, by the conversion of analog to digital after acquisition, by digital data transmission to computing module, computing module passes through wireless module
WIFI or Bluetooth signal, be transferred to the wireless module of host, transfer data to the computing module of host.Framework computing mould
Block is filtered data, by electrocardiosignal by algorithm early warning, after finding to have pre-warning signal, and by human-computer interaction interface,
Notify the wearer of host, while by baseband module, by warning message by 2G/3G/4G, NB-IOT networks are sent to long-range clothes
Business device.
3, optional wireless myoelectricity attachment workflow
Optional wireless myoelectricity attachment is attached to human muscle surface by myoelectricity acquisition module, and electromyography signal is handled by myoelectricity
Module acquires, and by the conversion of analog to digital after acquisition, by digital data transmission to computing module, computing module passes through wireless
The WIFI or Bluetooth signal of module, are transferred to the wireless module of host, transfer data to the computing module of host.Host meter
It calculates module to be filtered data, by heart rate signal by algorithm early warning, after finding to have pre-warning signal, by human-computer interaction circle
Face notifies the wearer of host, while by baseband module, warning message and alert data are passed through 2G/3G/4G, NB-IOT
Network is sent to remote server.
4, work in combination flow
When equipment works, the cardiac diagnosis lead-line gathered data for only using host can be selected, can also select to only use can
Select wireless electrocardio attachment to acquire, can also both use simultaneously.
When host and optional wireless electrocardio, myoelectricity attachment are used cooperatively, it is attached by respective wireless module.
Five, specific setting
1, the continuous electrocardiogram (ECG) data of collected all long-times, alert data can be stored in inside host in short-term
In FLASH, these data can be checked by data readback.The continuous electrocardiogram (ECG) data of long-time, alert data can in short-term
It is set as being sent to remote server by 2G/3G/4G, WIFI, NB-IOT network in real time.
After once alert data sends failure by the network of 2G, 3G, 4G, NB-IOT networks can be selected to be sent,
The covering power of NB-IOT networks is better than 2G, 3G, 4G.NB-IOT networks first send warning message, it is ensured that warning message is first sent
It goes out, then retransmits alert data.Because alert data amount is more than warning message, it is possible to send failure.
2, a variety of anomalous ecg alarms are identified：Bradycardia, tachycardia, room escape, atrial escape, borderline ease
It fights, auricular flutter, auricular fibrillation, sino atrial block, atrioventricular block, block, intraventricular block, the room of taking place frequently is early, ST changes, stops
It fights, lead-fail detector etc..Alarm threshold value can be arranged in part alarm, such as bradycardia could be provided as 50bpm, and tachycardia can
Being detected to be set as 180bpm, after setting can alarm after reaching this threshold value.
3, alarm level can be arranged：Advanced alarm, middle rank alarm, rudimentary alarm.The degree of every grade of alarm can be independent
Setting, the content of setting include the design parameter of alarm.Such as bradycardia 40bpm or less；Tachycardia 200bpm or more；Stop
Rich 2S or more etc.；
The local type of alarm of alarm level can be arranged：Alarm lamp color, modulation frequency of alarming, vibrations, sound, screen bullet
Go out prompting frame, dial predetermined telephone, sends preset SMS.Such as：Middle rank alarm could be provided as：Amber light flickers 1Hz, shake
Dynamic to open, audible closure, screen pops up prompting frame and closes, and dials predetermined telephone closing, sends preset SMS and opens.
4, failure is sent in data transmission procedure repeatedly, user can be prompted to check whether local networks are unimpeded.If data
Fail in transmission process, software can record the failure location information of transmission data, retransmit later, there is breakpoint transmission function.
All electrocardio warning messages have transmission priority list, and when a variety of alarms while when occurring, the high warning message of priority can be excellent
First send.Such as bradycardia is won while being occurred with stopping, if setting, which stops rich priority, is higher than bradycardia, first transmission stops winning
Alarm sends bradycardia alarm later.
5, can the geographical location information of user be recorded in local at any time, remote server can be uploaded to.It can lead to
Cross the motion conditions that acceleration transducer records user in real time：Walking is run, sleep, the movable informations such as body overturning in sleep.
The reason of these information can be changed with assistant analysis electrocardiogram.Such as user's caused tachycardia during running, visually
For normal phenomenon.
6, actual conversation/real-time video communication/relief guidance can be realized by 2G/3G/4G, WIFI network.Such as when
After user's discovery is uncomfortable, flash appeal key can be pressed, selects voice, video or word and predetermined telephone to seek help, together
When send flash appeal short message to pre-set user.Remote server can also invite user to pass through voice, video or text at any time
Word is linked up, and after user confirms, checks user's concrete condition.
7, equipment can be taken pictures identity card, medical insurance card and other certificates by camera with Rapid input user information, algorithm
Crawl wherein word, image information, exempt to input Message Entry Devices such as the name of user, gender, ID, photos.
8, using a kind of Detection and Extraction method of high quality electrocardiogram, i.e., the selective mechanisms people in the data of non-volatile recording
The data of electrocardiogram, are identified as high quality static state electrocardiogram when body static (not moving).The effect of Electrocardiography when human body is static
Fruit is best, mainly identifies that GPS data not mobile (human body is not walked about), acceleration transducer data do not become significantly
Change and (there is no position chanP), myoelectricity is not widely varied (muscle does not move).
9, using a kind of method for eliminating electrocardio noise by electromyography signal.Pass through fixed frequency different from existing product
Mixed signal is detached collected myoelectricity data mixing signal by the method that filter eliminates electrocardio noise, the present invention first
For direct current signal and AC signal.The direct current signal of myoelectricity can cause cardiac electrical baseline drift, so being subtracted to cardiac electrical signal
Myoelectricity direct current signal (multichannel myoelectricity is averaged, then multiply-add weight coefficient), to offset cardiac electrical baseline drift.To myoelectricity
AC signal does Fast Fourier Transform (FFT), finds the peak swing frequency point of AC signal, the band of the frequency is made to cardiac electrical signal
Resistance filtering improves ambulatory ecg signal quality to which dynamic reduces myoelectricity to cardiac electrical influence.
10, the present invention is on probation suitable for motion monitoring, by GPS positioning, the movement rate of patient can be calculated, by adding
Velocity sensor may determine that user's leg speed, and the energy expenditure of patient can be substantially recorded by these.Before comparative evaluation movement
The degree of fatigue of patient is assessed in the influence of electrocardio, electromyography signal afterwards, reminds patient's rest.Such as patient motion is after 5 hours,
Electromyography signal average amplitude is reduced to the 80% of setting in motion in the case of same movement, and frequency values also reduce, it is believed that patient
Physical demands is excessive, and patient is reminded to take a good rest.
11, using the software design scheme of layering.As shown in Fig. 2, Linux drive program layer is mainly responsible for connection bottom number
Word signal, by electrocardio, myoelectricity digital data transmission to upper layer.Linux embedded programs are mainly responsible for data and comb and preserve, right
Real-time files call warning algorithm real-time early warning.The android APP of top layer are responsible for the functions such as data displaying, transmission.This point
The benefit of layer is that the algorithm of core is put into linux embedded programs, can prevent APP decompilings, prevent core algorithm from revealing.
The above, only presently preferred embodiments of the present invention, not to the present invention in any form with substantial limitation,
It should be pointed out that for those skilled in the art, under the premise of not departing from the method for the present invention, can also make
Several improvement and supplement, these are improved and supplement also should be regarded as protection scope of the present invention.All those skilled in the art,
Without departing from the spirit and scope of the present invention, when made using disclosed above technology contents it is a little more
Dynamic, modification and the equivalent variations developed, are the equivalent embodiment of the present invention；Meanwhile all substantial technologicals pair according to the present invention
The variation, modification and evolution of any equivalent variations made by above-described embodiment, still fall within the range of technical scheme of the present invention
It is interior.
Claims (10)
1. a kind of cardiac monitoring equipment, it is characterised in that：It is attached including host, optional wireless electrocardio attachment and optional wireless myoelectricity
Part；
The host includes the first computing module, and the first computing module connects human-computer interaction module, the first wireless module, base band mould
Block, the first power module, the first electrocardio processing module, locating module, the first electrocardiogram acquisition module connect the first electrocardio and handle mould
Block；
The optional wireless electrocardio attachment includes the second computing module, and the second computing module connects the second wireless module, second heart
Electric treatment module, second power supply module, the second electrocardiogram acquisition module connect the second electrocardio processing module；
The optional wireless myoelectricity attachment includes third computing module, and third computing module connects third wireless module, at myoelectricity
Module, third power module are managed, myoelectricity acquisition module connects myoelectricity processing module；
The host is attached with optional wireless electrocardio attachment by the first wireless module and the second wireless module, the host
It is attached by the first wireless module and third wireless module with optional wireless myoelectricity attachment.
2. a kind of cardiac monitoring equipment as described in claim 1, it is characterised in that：
First computing module includes CPU, RAM, FLASH, CPU connection RAM and FLASH；Second computing module, third
Computing module is MCU；
First power module, second power supply module, third power module are supplying cell and/or the confession with charge function
Electric USB；
First wireless module, the second wireless module, third wireless module are WIFI module and/or bluetooth module；
First electrocardiogram acquisition module includes cardiac diagnosis lead-line, and single lead patch or multi-lead patch connect cardiac diagnosis lead-line；
Second electrocardiogram acquisition module is single lead patch；
The baseband module be capable of providing 2G 3G 4G communication uplink and downlink function, frequency band support different operators it is complete
The module that Netcom while the network connection for providing NB-IOT are supported.
3. a kind of cardiac monitoring equipment as claimed in claim 2, it is characterised in that：The human-computer interaction module includes display
The 3 axle accelerations sensing of screen, button, touch screen, camera, movable information for being worn on user and detecting user
Device, display screen, button, touch screen, camera, 3 axle acceleration sensors are connect with the CPU.
4. a kind of cardiac monitoring equipment as claimed in claim 3, it is characterised in that：
When host work, the first electrocardiogram acquisition module connects human test's point, and the signal of test point is by the first electrocardio processing module
Acquisition, the conversion of the signal of acquisition Jing Guo analog to digital, and it is transferred to the first computing module, the first computing module is to acquisition
Electrocardiogram (ECG) data signal is filtered, and electrocardio alarm threshold value is arranged, and is more than electrocardio alarm threshold value when discovery has electrocardio data-signal
Afterwards, the wearer of host is notified by human-computer interaction module, while being sent to warning message and alert data by baseband module
Remote server；The geographical location information of user is recorded in local by locating module at any time, while being uploaded to by baseband module
Remote server；
When optional wireless electrocardio attachment work, the second electrocardiogram acquisition module connects human test's point, and the signal of test point is by second
Electrocardio processing module acquires, the conversion of the signal of acquisition Jing Guo analog to digital, and is transferred to the second computing module；Second calculates
The electrocardiogram (ECG) data signal of acquisition is transferred to the first wireless module of host by module by the second wireless module, and then is transmitted further to
First computing module of host；First computing module is filtered the electrocardiogram (ECG) data signal of acquisition, and electrocardio warning level is arranged
Value notifies the wearer of host by human-computer interaction module, together after finding to have electrocardio data-signal to be more than electrocardio alarm threshold value
When warning message and alert data be sent to by remote server by baseband module；
When optional wireless myoelectricity attachment work, human muscle surface is attached to by myoelectricity acquisition module, electromyography signal is by myoelectricity
Module acquisition, the conversion of the signal of acquisition Jing Guo analog to digital are managed, and is transferred to third computing module；Third computing module will
The myoelectricity data-signal of acquisition is transferred to the first wireless module of host by third wireless module, and then is transmitted further to host
First computing module；First computing module is filtered the myoelectricity data-signal of acquisition, and myoelectricity alarm threshold value is arranged, and works as hair
Existing myoelectricity data-signal is notified the wearer of host by human-computer interaction module, passed through simultaneously more than after myoelectricity alarm threshold value
Warning message and alert data are sent to remote server by baseband module.
5. a kind of cardiac monitoring equipment as claimed in claim 4, it is characterised in that：Host progress electrocardio can be used only to adopt
Collection, host needs to be fixed on wearer at this time；Optional wireless electrocardio attachment can also be used to carry out electrocardiogram acquisition, led at this time
Machine is not required to be fixed on wearer, only need to wear optional wireless electrocardio attachment；It can also host and optional wireless electrocardio attachment
The two uses simultaneously.
6. a kind of cardiac monitoring equipment as claimed in claim 4, it is characterised in that：The baseband module is by warning message and report
Alert data are sent to remote server by 2G, 3G or 4G network, once alert data sends failure by 2G, 3G or 4G network
Afterwards, selection NB-IOT networks are sent, and NB-IOT networks first send warning message, it is ensured that and warning message is first sent,
Then alert data is retransmited；Because the conveying capacity of alert data is more than warning message, it is possible to send failure.
7. a kind of cardiac monitoring equipment as claimed in claim 4, it is characterised in that：Flesh of first computing module to acquisition
Electric data-signal, is separated into direct current signal and AC signal first；The direct current signal of myoelectricity can cause cardiac electrical baseline to float
It moves, so electrocardiogram (ECG) data signal to be subtracted to the direct current signal of myoelectricity, to offset cardiac electrical baseline drift；And to the exchange of myoelectricity
Signal does Fourier transformation, finds the peak swing Frequency point of AC signal, and the peak swing frequency is done to electrocardiogram (ECG) data signal
The bandreject filtering of rate improves ambulatory ecg signal quality to which dynamic reduces myoelectricity to cardiac electrical influence.
8. a kind of cardiac monitoring equipment as claimed in claim 4, it is characterised in that：Remembered in real time by 3 axle acceleration sensors
Employ the movable information at family, the reason of assistant analysis electrocardio changes, or carry out motion monitoring；
When motion monitoring, by locating module and 3 axle acceleration sensors, the movement rate and energy expenditure of user are calculated,
The degree of fatigue of user is assessed in the influence of comparative evaluation movement front and back electrocardio, electromyography signal, and user is reminded to take a good rest.
9. a kind of cardiac monitoring equipment as claimed in claim 4, it is characterised in that：The effect of ECG detecting is when human body is static
Preferably, the data of electrocardiogram, are identified as high quality static state electrocardiogram when screening human body is static in the data of a period of time record；
Judge that the static mode of human body has：Locating module data do not change, i.e., human body is not walked about；3 axle acceleration sensor data
Do not change, i.e., human body does not have position chanP；The variation of myoelectricity data-signal is less than setting value, i.e. human muscle does not move.
10. a kind of cardiac monitoring equipment as claimed in claim 4, it is characterised in that：Using the Software for Design of layering, Linux
Driver layer is responsible for connecting bottom digital signal, by electrocardio, myoelectricity digital data transmission to upper layer；Linux embedded programs
It is responsible for data to comb and preserve, warning algorithm real-time early warning is called to real-time files；The androidAPP of top layer is responsible for data
Displaying is sent.
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| CN201810155207.4A CN108354604A (en) | 2018-02-23 | 2018-02-23 | A kind of cardiac monitoring equipment |
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| CN201810155207.4A CN108354604A (en) | 2018-02-23 | 2018-02-23 | A kind of cardiac monitoring equipment |
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| CN201810155207.4A Pending CN108354604A (en) | 2018-02-23 | 2018-02-23 | A kind of cardiac monitoring equipment |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110772248A (en) * | 2019-10-17 | 2020-02-11 | 深圳邦健生物医疗设备股份有限公司 | Wearable device electrocardio real-time monitoring system and method |
| CN111000552A (en) * | 2019-12-23 | 2020-04-14 | 乐普（北京）医疗器械股份有限公司 | Intelligent electrocardiograph |
| CN111714101A (en) * | 2019-03-20 | 2020-09-29 | 安徽华米信息科技有限公司 | Signal processing method and device |
| CN113317795A (en) * | 2020-02-29 | 2021-08-31 | 华为技术有限公司 | Signal measurement method and device |
| CN114098794A (en) * | 2020-08-28 | 2022-03-01 | 华为技术有限公司 | Method and device for detecting human health condition |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1907214A (en) * | 2006-08-18 | 2007-02-07 | 方祖祥 | Portable remote real-time monitor with first-aid and locate function |
| CN103405228A (en) * | 2013-08-21 | 2013-11-27 | 中国科学院自动化研究所 | Portable electrocardio and surface myoelectricity measuring device |
| WO2015002940A2 (en) * | 2013-07-01 | 2015-01-08 | Mayo Foundation For Medical Education And Research | Advanced health monitoring system |
| CN104490388A (en) * | 2014-12-16 | 2015-04-08 | 无锡市健维仪器有限公司 | Extensible human health remote recording, monitoring and diagnosis system |
| CN105411554A (en) * | 2016-01-18 | 2016-03-23 | 北京理工大学 | Wireless non-invasive human physiological parameter collection, detection and intelligent diagnosis system |
| US20170251939A1 (en) * | 2016-03-03 | 2017-09-07 | General Electric Company | Modular electrocardiogram device with high quality differential limb-leads and modularly expandable chest-leads |
-
2018
- 2018-02-23 CN CN201810155207.4A patent/CN108354604A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1907214A (en) * | 2006-08-18 | 2007-02-07 | 方祖祥 | Portable remote real-time monitor with first-aid and locate function |
| WO2015002940A2 (en) * | 2013-07-01 | 2015-01-08 | Mayo Foundation For Medical Education And Research | Advanced health monitoring system |
| CN103405228A (en) * | 2013-08-21 | 2013-11-27 | 中国科学院自动化研究所 | Portable electrocardio and surface myoelectricity measuring device |
| CN104490388A (en) * | 2014-12-16 | 2015-04-08 | 无锡市健维仪器有限公司 | Extensible human health remote recording, monitoring and diagnosis system |
| CN105411554A (en) * | 2016-01-18 | 2016-03-23 | 北京理工大学 | Wireless non-invasive human physiological parameter collection, detection and intelligent diagnosis system |
| US20170251939A1 (en) * | 2016-03-03 | 2017-09-07 | General Electric Company | Modular electrocardiogram device with high quality differential limb-leads and modularly expandable chest-leads |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111714101A (en) * | 2019-03-20 | 2020-09-29 | 安徽华米信息科技有限公司 | Signal processing method and device |
| KR20200113215A (en) * | 2019-03-20 | 2020-10-06 | 안후이 화미 인포메이션 테크놀러지 코., 엘티디. | Wearable device, signal processing method and device |
| KR102438100B1 (en) | 2019-03-20 | 2022-08-30 | 안후이 화미 인포메이션 테크놀러지 코., 엘티디. | Wearable devices, signal processing methods and devices |
| CN110772248A (en) * | 2019-10-17 | 2020-02-11 | 深圳邦健生物医疗设备股份有限公司 | Wearable device electrocardio real-time monitoring system and method |
| CN110772248B (en) * | 2019-10-17 | 2021-12-24 | 深圳邦健生物医疗设备股份有限公司 | Wearable device electrocardio real-time monitoring system and method |
| CN111000552A (en) * | 2019-12-23 | 2020-04-14 | 乐普（北京）医疗器械股份有限公司 | Intelligent electrocardiograph |
| CN113317795A (en) * | 2020-02-29 | 2021-08-31 | 华为技术有限公司 | Signal measurement method and device |
| WO2021169339A1 (en) * | 2020-02-29 | 2021-09-02 | 华为技术有限公司 | Signal measurement method and device |
| CN114098794A (en) * | 2020-08-28 | 2022-03-01 | 华为技术有限公司 | Method and device for detecting human health condition |
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Application publication date: 20180803 |