CN109222939A - A kind of wearable device based on the fusion of multi-source data information - Google Patents
A kind of wearable device based on the fusion of multi-source data information Download PDFInfo
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- CN109222939A CN109222939A CN201810632517.0A CN201810632517A CN109222939A CN 109222939 A CN109222939 A CN 109222939A CN 201810632517 A CN201810632517 A CN 201810632517A CN 109222939 A CN109222939 A CN 109222939A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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Abstract
The present invention provides a kind of wearable device based on the fusion of multi-source data information, the wearable device includes test section and the digital processes that connect with the test section, the wearable device processing cardioelectric signals, blood pressure signal, temperature signal, pulse signal and activity state signals；The digital processes include the first digital processes, the second digital processes and third digital processes；Second digital processes include temperature data processing module, pulse data processing module and blood pressure data processing module；The third digital processes include Signal Pretreatment unit, valid interval extraction unit and integral unit, and the signal processing unit, valid interval extraction unit and integral unit are sequentially connected in series communication.The present invention by be worn on user can a variety of physiological parameters such as composite measurement blood pressure, heart rate, electrocardio, temperature and active state, full automatic physio-parameter detection and processing are utmostly realized, no matter the user at any age can use.
Description
Technical field
The present invention relates to medical living field more particularly to a kind of wearable devices based on the fusion of multi-source data information.
Background technique
With the improvement of living standards, people are also higher and higher to the attention rate of health, but hospital is gone to measure the heart at present
The basic health data formality such as rate, electrocardio, blood pressure is cumbersome, it is very long to wait, and most people cannot often go to hospital to check, from
Oneself needs to buy relevant device at measurement of being in, and also needs to get round to measure, this is invisible for busy modern
In increase many troubles, therefore most people only can just measure these health datas in physical examination at present.But these
Health data has actually reacted the most basic health status of people, if it is possible to which grasp and Seek early medical advice in time will be much less
The generation of disease.
Further, the measurement of the basic health such as heart rate, electrocardio, blood pressure needs to have certain professional knowledge, and ordinary people is outstanding
It is that older and young people may not also have this ability.Further, with the development of science and technology Medical Devices it is portable
Property also promoted, but its volume or relatively large also more heavy, to also be convenient physiological parameter anywhere or anytime
Measurement brings difficulty.
Summary of the invention
In order to solve the above technical problem, the present invention provides a kind of wearable devices based on the fusion of multi-source data information.
The present invention is realized with following technical solution:
It is a kind of based on multi-source data information fusion wearable device, the wearable device include test section and with the detection
The digital processes of portion's connection, the wearable device processing cardioelectric signals, blood pressure signal, temperature signal, pulse signal and work
Dynamic status signal；
The digital processes include the first digital processes, the second digital processes and third digital processes；
Second digital processes include temperature data processing module, pulse data processing module and blood pressure data processing
Module；
The third digital processes include Signal Pretreatment unit, valid interval extraction unit and integral unit, described
Signal processing unit, valid interval extraction unit and integral unit are sequentially connected in series communication.
Further, the temperature data processing module judges the temperature data for obtaining the temperature data measured
Whether it is greater than preset first temperature threshold value or is less than preset second temperature threshold value, if so, determines the temperature data for temperature
Abnormal data, and control portion in temperature anomaly data transmission is stored.
Further, the blood pressure data processing module includes that pulse wave data processing unit and blood pressure data processing are single
Member；
The pulse wave data processing unit includes that the first filter unit being sequentially communicated, the second filter unit and amplification are single
Member, first filter unit is for filtering out 50Hz Hz noise, and second filter unit is for filtering out low frequency noise interference；
The impulse response of first filter unit is made of limited sampled value, and collected pulse wave signal is in the first filter unit
In with the coefficient of first filter unit carry out convolution；In order to promote the speed of service of the first filter unit, first filter
N times multiplication needed for wave unit is only sequentially completed a filtering operation with a multiplier and an accumulator in chronological order and
N-1 sub-addition；
The blood pressure data processing unit includes blood pressure calculation unit and blood pressure judging unit.
Further, the third digital processes include Signal Pretreatment unit, valid interval extraction unit and integral
Unit, the signal processing unit, valid interval extraction unit and integral unit are sequentially connected in series communication；
The Signal Pretreatment unit for being filtered to the acceleration signal of acquisition, noise reduction and enhanced processing, obtain
Aimed acceleration signal；
The valid interval extraction unit is used for according to the aimed acceleration signal framing valid interval；The effective district
Between extraction unit execute following logics: the minimum point in positioning accelerating curve makees first zero point after minimum point
For the cut-point of valid interval；
The integral unit judges current active shape according to integral result for integrating to each valid interval
State, and the current activity state is transmitted to middle control portion；The active state includes quiescent condition, slow active state and play
Strong active state.
Further, collected electrocardiosignal is converted to first object data by first digital processes, and will
First object data are transmitted to physiological parameter monitoring center；
First digital processes include preamplifier, preprocessor, the first conversion processor, the second conversion process
Device and post amplifier；The low frequency noise in electrocardiosignal that first conversion processor is used to be obtained by filtration, described second
The noise that the electromagnetic wave in air in electrocardiosignal that conversion processor is used to be obtained by filtration generates；
Via the first object data that first digital processes obtain, can also be obtained further across after lossless compression
To first object data packet, the first object data packet is sent to physiological parameter monitoring center, physiological parameter monitoring center
Obtained ECG Signal Analysis result is back to middle control portion.
The beneficial effects of the present invention are:
(1) present invention is a kind of wearable device, the measurement of physiological parameter can be carried out by being worn on user, just
The property taken is good, easy to carry；
(2) present invention can a variety of physiological parameters such as composite measurement blood pressure, heart rate, electrocardio, temperature and active state, and energy
It is enough that comprehensive analysis and integrated treatment are carried out to above-mentioned physiological parameter, utmostly realize full automatic physio-parameter detection and place
Reason, high degree of automation, no matter the user at any age can use；
(3) the invention discloses the detailed exception handling logics of various parameters, so as to promptly and accurately to abnormal raw
Reason parameter carries out alarm and relevant treatment, user's body problem is found in time, to ensure user health.
Detailed description of the invention
Fig. 1 is wearable device schematic diagram provided in this embodiment；
Fig. 2 is wearable device topology schematic diagram provided in this embodiment；
Fig. 3 is wearable device internal logic schematic diagram provided in this embodiment；
Fig. 4 is temperature anomaly data process method flow chart provided in this embodiment；
Fig. 5 is temperature anomaly data alarm processing figure provided in this embodiment；
Fig. 6 is cacosphyxia data process method flow chart provided in this embodiment；
Fig. 7 is cacosphyxia data alarm processing figure provided in this embodiment；
Fig. 8 is blood pressure data processing module schematic diagram provided in this embodiment；
Fig. 9 is blood pressure automatic calculating method flow chart provided in this embodiment；
Figure 10 is that blood pressure judging unit provided in this embodiment executes logical flow chart；
Figure 11 is preprocessor processing logical flow chart provided in this embodiment；
Figure 12 is the first conversion processor processing logical flow chart provided in this embodiment.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made into one below in conjunction with attached drawing
Step ground detailed description.
Embodiment 1:
The embodiment of the present invention discloses a kind of wearable device based on the fusion of multi-source data information, as shown in Figure 1, the wearing
Equipment includes test section and the digital processes that connect with the test section,
The test section is for acquiring physiological parameter initial data, and by the physiological parameter original data transmissions to described
Digital processes；
The digital processes are for handling the initial data.
The wearable device further includes communication unit, and the communication unit and physiological parameter monitoring center communicate to connect；It is described to wear
Wearing equipment further includes middle control portion, and the test section, digital processes and communication unit are controlled by the middle control portion.
The middle control portion further includes interactive interface, and the interactive interface is used to obtain the instruction of user's input, the middle control
Portion is based on described instruction control test section and digital processes.
Further, the wearable device and the physiological parameter monitoring center are all located at adjacent space, i.e., the described wearing
Equipment and the linear distance of the physiological parameter monitoring center are less than preset distance threshold.
As shown in Fig. 2, the wearable device is using preset intermediate node as terminal, with the physiological parameter monitoring center
Realize bidirectional communication link.Specifically, in a feasible embodiment, the wearable device and the physiological parameter are monitored
Center is located in the same closing or hemi-closure space, and multiple intermediate nodes are deployed on the ceiling in the space, described to wear
It wears equipment and the physiological parameter monitoring center is located among the space.The communication unit of the wearable device is at any time all
It can get in touch at least three intermediate nodes, and at least three intermediate node is capable of forming one and stablizes the logical of connection
Communication network.
As shown in figure 3, the test section includes the first test section, the second test section and third test section；Correspondingly, described
Digital processes include the first digital processes, the second digital processes and third digital processes.
First test section is for acquiring electrocardiosignal and the electrocardiosignal being transmitted to the first digital processes, institute
It states the first digital processes and is pre-processed to obtain first object data to the electrocardiosignal, and by the first object data
The physiological parameter monitoring center is transmitted to via the communication unit.
Second test section for acquiring blood pressure signal, temperature signal and pulse signal, and by the blood pressure signal,
Temperature signal and pulse signal are transmitted to the second digital processes, and second digital processes are used to believe the blood pressure
Number, temperature signal and pulse signal handled.
The third test section is used for collection activity status signal, and the activity state signals are transmitted to third number
Processing unit, the third digital processes are for handling the activity state signals.
Specifically, the test section is deployed in wearable device, and the digital processes are deployed in terminal.
In a feasible embodiment, the wearable device is by being deployed with the detachable long sleeve blouse and energy of test section
Enough terminals communicated with test section are constituted, and the long sleeve blouse includes jacket front, the jacket back side, left side coat-sleeve and the right clothing
Sleeve；The jacket front, the jacket back side, left side coat-sleeve and the right coat-sleeve are detachable.Left side coat-sleeve is built-in with pulse wave sensing
Chip is provided with temperature sensor chip, pulse transducer and communication chip, institute at the left side cuff of the long sleeve blouse
It states temperature sensor chip, pulse transducer and pulse wave sensor chip to communicate to connect with the communication chip, the temperature
Sensor chip, pulse transducer, pulse wave sensor chip and communication chip constitute the second test section.The right side of the long sleeve blouse
Acceleration transducer is provided at the cuff of side, the acceleration transducer and the communication chip constitute third test section.Institute
It states jacket front and is provided with multiple silver-plated thin electrodes, the jacket back side is provided with multiple electric silica gel electrodes, is deployed in
The electrode and the communication chip at clothing front and the jacket back side constitute the first test section.There is digital place in the terminal inner administration
Reason portion, middle control portion and communication unit, the communication unit are communicated with the communication chip and physiological parameter monitoring center.
In another feasible embodiment, the wearable device is made of detachable short sleeved blouse, wrist strap and terminal,
There are digital processes, middle control portion and communication unit in the terminal inner administration, and the communication unit and the physiological parameter monitoring center are logical
Letter.The short sleeved blouse includes jacket front, the jacket back side, left side coat-sleeve and the right coat-sleeve；The jacket front, jacket back
Face, left side coat-sleeve and the right coat-sleeve are detachable.The jacket front is provided with multiple silver-plated thin electrodes and the first communication core
Piece, the jacket back side are provided with multiple electric silica gel electrodes, are deployed in the electrode and first in jacket front and the jacket back side
Communication chip constitutes the first test section, and first communication chip is communicated with the communication unit.
Acceleration transducer, the acceleration transducer and described are provided at the right cuff of the short sleeved blouse
One communication chip constitutes third test section together.
The wrist strap forms the second test section, and specifically, first directly contacted on the inside of the wrist strap with user's wrist is surveyed
Amount area is fixed with temperature sensor chip, pulse transducer and the second communication chip, and the second measurement zone on the inside of the wrist strap is set
It is equipped with pulse wave sensor chip, the temperature sensor chip, pulse transducer and pulse wave sensor chip are with described second
Communication chip communication connection；First measurement zone and second measurement zone do not contact, second communication chip with it is described
Communication unit connection.
In another feasible embodiment, the wearable device is made of vest, wrist strap and terminal, the terminal inner
There are digital processes, middle control portion and communication unit in administration, and the communication unit is communicated with the physiological parameter monitoring center.The vest is just
Face is provided with multiple silver-plated thin electrodes and the first communication chip, and the vest back side is provided with multiple electric silica gel electrodes, portion
It affixes one's name to electrode and the first communication chip in vest front and the vest back side and constitutes the first test section, first communication chip
It is communicated with the communication unit.
The bottom of the vest is provided with acceleration transducer, the acceleration transducer and first communication chip one
And constitute third test section.
The wrist strap forms the second test section, and specifically, first directly contacted on the inside of the wrist strap with user's wrist is surveyed
Amount area is fixed with temperature sensor chip, pulse transducer and the second communication chip, and the second measurement zone on the inside of the wrist strap is set
It is equipped with pulse wave sensor chip, the temperature sensor chip, pulse transducer and pulse wave sensor chip are with described second
Communication chip communication connection；First measurement zone and second measurement zone do not contact, second communication chip with it is described
Communication unit connection.
Second digital processes include temperature data processing module, pulse data processing module and blood pressure data processing
Module.
It is pre- to judge whether the temperature data is greater than for obtaining the temperature data measured for the temperature data processing module
If the first temperature threshold or be less than preset second temperature threshold value, if so, determine the temperature data for temperature anomaly data, and
By control portion storage in temperature anomaly data transmission.
It needs manually to take corresponding measure according to measurement result in compared with the prior art, the embodiment of the present invention devises sternly
The temperature anomaly data process method of lattice, so that it is guaranteed that the alarming result confidence level based on temperature anomaly data is higher, to temperature
It spends during abnormal data carries out relevant processing, it is no longer necessary to artificial judgment and take measures on customs clearance, realize full-automatic
Temperature anomaly processing and alarming logic.
Specifically, as shown in figure 4, executing following logics:
S101. when the middle control radical time obtains the temperature anomaly data, monitoring temperature object, the temperature are created
Monitored object is with date, serial number and physiological parameter name nominating.For example temperature is produced for the second time on December 12nd, 2015
Monitored object, then the monitoring temperature object is identified as 2015121202tep.
S102. generate clearance measurement instruction, clearance measurement instruction for trigger the second test section at interval of it is default when
Between acquire a temperature data.
If being S103. spaced default first safety time, middle control portion does not receive temperature anomaly data again, then generates and stop
The only instruction of temperature measurement.
If being S104. spaced default first safety time, middle control portion obtains temperature anomaly data again, then adds it to institute
It states among monitoring temperature object.
Further, if as shown in figure 5, middle control portion is being preset in the first safety time again after monitoring temperature Object Creation
It is secondary to receive temperature anomaly data, also to execute following logics:
S1. target temperature data are selected.The target temperature data meet following conditions: (1) the target temperature data
For the temperature anomaly data among the monitoring temperature object.(2) between target temperature data and previous temperature anomaly data
Time interval be less than preset time threshold.
S2. judge whether the number of target temperature data is greater than preset amount threshold, surveyed if so, generating and stopping temperature
The instruction of amount refers to the monitoring temperature object transfer to middle control portion in order to which the middle control portion alerts and generates composite measurement
It enables.
The composite measurement instruction includes the pulses measure instruction, blood pressure measurement instruction, active state measurement being simultaneously emitted by
Instruction and electrocardiosignal measurement instruction.It is instructed in response to the composite measurement, first test section, the second test section and the
Three test sections start simultaneously at acquisition data.
It is pre- to judge whether the pulse data is greater than for obtaining the pulse data measured for the pulse data processing module
If the first pulse threshold value or being less than default second pulse threshold value, if so, determine the pulse data for cacosphyxia data, and
By control portion storage in cacosphyxia data transmission.
It needs manually to take corresponding measure according to measurement result in compared with the prior art, the embodiment of the present invention devises sternly
The cacosphyxia data process method of lattice, so that it is guaranteed that the alarming result confidence level based on cacosphyxia data is higher, to arteries and veins
During abnormal data of fighting carries out relevant processing, it is no longer necessary to artificial judgment and take measures on customs clearance, realize full-automatic
Cacosphyxia processing and alarming logic.
Specifically, as shown in fig. 6, executing following logics:
S201. when the middle control radical time obtains the cacosphyxia data, judge whether to need to create pulse monitoring
Object.
If the cacosphyxia data are greater than default first pulse threshold value, following logics are executed:
Trigger third test section collection activity status signal；
The active state for obtaining third digital processes feedback determines then to generate stopping arteries and veins as a result, if non-quiescent condition
It fights the instruction of detection, deletes the cacosphyxia data；If quiescent condition, then pulse monitoring object is created.
If the cacosphyxia data are less than default second pulse threshold value, pulse monitoring object is created.
Specifically, the pulse monitoring object is with date, serial number and physiological parameter name nominating.Such as in December, 2015
Pulse monitoring object is produced in 12 days for the second time, then the pulse monitoring object is identified as 2015121202Pul.
S202. generate clearance measurement instruction, clearance measurement instruction for trigger the second test section at interval of it is default when
Between acquire a pulse data.
If being S203. spaced default second safety time, middle control portion does not receive cacosphyxia data again, then generates and stop
The only instruction of pulses measure.
If being S204. spaced default second safety time, middle control portion obtains cacosphyxia data again, then adds it to institute
It states among pulse monitoring object.
Further, if as shown in fig. 7, middle control portion is being preset in the second safety time again after pulse monitoring Object Creation
It is secondary to receive cacosphyxia data, also to execute following logics:
S10. target pulse data is selected.The target pulse data meets following conditions: (1) the target pulse data
For the cacosphyxia data among the pulse monitoring object.(2) between target pulse data and previous pulse data when
Between interval be less than preset time threshold.
S20. judge whether the number of target pulse data is greater than preset amount threshold, stop pulse if so, generating
The instruction of measurement, by the pulse monitoring object transfer to middle control portion, in order to which the middle control portion alerts and generates composite measurement
Instruction.
The composite measurement instruction includes the temperature measurement instruction being simultaneously emitted by, blood pressure measurement instruction, active state measurement
Instruction and electrocardiosignal measurement instruction.It is instructed in response to the composite measurement, first test section, the second test section and the
Three test sections start simultaneously at acquisition data.
As shown in figure 8, the blood pressure data processing module includes that pulse wave data processing unit and blood pressure data processing are single
Member.
The pulse wave data processing unit includes that the first filter unit being sequentially communicated, the second filter unit and amplification are single
Member, first filter unit is for filtering out 50Hz Hz noise, and second filter unit is for filtering out low frequency noise interference.
The impulse response of first filter unit is made of limited sampled value, and collected pulse wave signal is in the first filter unit
In with the coefficient of first filter unit carry out convolution.In order to promote the speed of service of the first filter unit, first filter
N times multiplication needed for wave unit is only sequentially completed a filtering operation with a multiplier and an accumulator in chronological order and
N-1 sub-addition.
The blood pressure data processing unit includes blood pressure calculation unit and blood pressure judging unit.In order to realize blood pressure it is complete from
Dynamic to calculate, the embodiment of the present invention provides a kind of more accurate blood pressure automatic calculating method, and the method is calculated in the blood pressure
Unit executes, as shown in Figure 9:
S301. pulse wave signal curve is calculated according to the pulse wave signal of amplifying unit output.
S302. the pulse wave signal envelope of curves line is calculated.
S303. peak point M is positioned on the envelope.
S304. systolic pressure is positioned between envelope starting point A and peak point M according to preset algorithm and represents point S, and wrapped
Diastolic pressure is positioned between winding thread peak point M and envelope midpoint B represents point D.
Specifically, the preset algorithm coincidence formulaWherein, | S | it is the vertical of point S on envelope
Coordinate, | M | it is the ordinate of point M on envelope, | D | for the ordinate of point D on envelope.Wherein K1,K2It is single with the first filtering
Member, the second filter unit are related to the parameter of amplifying unit, are the inside preset parameter of second test section.
S305. M, S, D are projected on static pressure curve and obtains diastolic pressure and systolic pressure.
It needs manually to take corresponding measure according to measurement result in compared with the prior art, the embodiment of the present invention devises sternly
The dysarteriotony data process method of lattice, so that it is guaranteed that the alarming result confidence level based on dysarteriotony data is higher, to blood
During reduce off-flavor regular data carries out relevant processing, it is no longer necessary to artificial judgment and take measures on customs clearance, realize full-automatic
Dysarteriotony processing and alarming logic.
The blood pressure judging unit executes following decision logics, as shown in Figure 10:
Whether the systolic pressure and diastolic pressure S401. judged according to preset comprehensive decision condition be effective.
Specifically, the preset comprehensive decision condition constituting with relationship by the first criterion, Second Criterion and third criterion.
First criterion is systolic pressure between 70-250 millimetres of mercury, and Second Criterion is diastolic pressure between 50-150 millimetres of mercury, is put down
Equal pulse is pressed between 30-140 millimetres of mercury, and the average pulse pressure is calculated by the diastolic pressure and the systolic pressure and obtained.
If S402. not meeting the comprehensive judgement condition, determine that the diastolic pressure measured and systolic pressure are invalid.
S403. judge whether current filling mining number reaches preset upper limit, adopted again if it is not, then triggering second test section
Collect blood pressure, and updates current filling mining number.If so, generating fault-signal, current filling mining number is reset, and by the failure
Signal is transmitted to the middle control portion, in order to which the middle control portion alarms.
Further, the disabling that the middle control portion generates that validity period is one day instructs, and disabling instruction is transmitted to
Second digital processes, so that second test section can re-start blood pressure measurement every other day.
If S404. meeting the comprehensive judgement condition, the diastolic pressure and systolic pressure measured is effective, by the diastolic pressure and
Systolic pressure is transmitted to the middle control portion, and current filling mining number is reset.
The third digital processes include Signal Pretreatment unit, valid interval extraction unit and integral unit, described
Signal processing unit, valid interval extraction unit and integral unit are sequentially connected in series communication.
The Signal Pretreatment unit for being filtered to the acceleration signal of acquisition, noise reduction and enhanced processing, obtain
Aimed acceleration signal.
The valid interval extraction unit is used for according to the aimed acceleration signal framing valid interval.Specifically, institute
It states valid interval extraction unit and executes following logics: the minimum point in positioning accelerating curve, by after minimum point first
Cut-point of a zero point as valid interval.
The integral unit judges current active shape according to integral result for integrating to each valid interval
State, and the current activity state is transmitted to middle control portion.The active state includes quiescent condition, slow active state and play
Strong active state.
Collected electrocardiosignal is converted to first object data by first digital processes, and by first object number
According to being transmitted to physiological parameter monitoring center.
It is complex in view of ECG Signal Analysis, in order to promote the timeliness for obtaining ECG Signal Analysis result, the application
It is middle that ECG Signal Analysis is distributed in the first digital processes and physiological parameter monitoring center, so that physiological parameter be made full use of to supervise
The powerful computing capability in control center promotes the timeliness of ECG Signal Analysis result.
Specifically, first digital processes include preamplifier, preprocessor, the first conversion processor, second
Conversion processor and post amplifier.The low frequency noise in electrocardiosignal that first conversion processor is used to be obtained by filtration,
The noise that the electromagnetic wave in air in electrocardiosignal that second conversion processor is used to be obtained by filtration generates.
Specifically, the first object data obtained via first digital processes, can also be further across lossless
First object data packet is obtained after compression, the first object data packet is sent to physiological parameter monitoring center.Physiological parameter
The ECG Signal Analysis result that monitoring center obtains is back to middle control portion.
For the preprocessor for pre-processing to electrocardiosignal, the signal sensitivity obtained after pretreatment is higher,
As shown in figure 11, the preprocessor executes following processing logics:
S501. the pre-noise reduction value A of some sampling instant is obtained(i), the pre-noise reduction value A(i)Acquisition methods include: judgement
Whether the sampling instant and previous sampling instant initial data difference are greater than preset first threshold, if so, extracting low frequency
Component is to obtain the pre-noise reduction value of the sampling instant, if it is not, the initial data of the sampling instant is then set as the sampling
The pre-noise reduction value at moment.If the sampling instant is first sampling instant, the initial data of the sampling instant is directly made
For pre-noise reduction value.
S502. according to the pre-noise reduction value A(i)Obtain the intermediate treatment value B of the sampling instant(i), the intermediate treatment
Value B(i)Acquisition methods include:Wherein χ, κ are the fixation of the preprocessor
Parameter.If the sampling instant is first sampling instant, the original component of the sampling instant is directly as intermediate treatment
Value.
S503. according to the intermediate treatment value B(i)Obtain the pretreatment values C of the sampling instant(i), the pretreatment values
Acquisition methods include: judgement | [B(i)*p+C(i-1)(1-p)]-A(i)Whether |≤E criterion is true, if so,
C(i)=A(i)×(1-|B(i)*p+C(i-1)(1-p)-A(i)|)+[B(i)*p+C(i-1)(1-p)]×|B(i)*p+C(i-1)
(1-p)-A(i)|, otherwise, C(i)=B(i)*p+C(i-1)(1-p), wherein p is empirical value, by its value model of lot of experiment validation
It is trapped among between 0.4-0.75, E is preset second threshold.If the sampling instant is first sampling instant, the sampling
The original component at moment is directly as pretreatment values.
S504. the pretreatment values C that will be obtained(i)Input the first conversion processor.
It should be noted that each preset parameter in the preprocessor can be set by experiment, it is each
The variation of preset parameter belongs to range disclosed in the present application.
Specifically, as shown in figure 12, first conversion processor executes following processing logics:
S601. signal C is obtained(i)To C(i+L-1), and to signal C(i)To C(i+L-1)It arranges to obtain length to be L's according to modulus value
Ordered sequence.
S602. the intermediate value D in the ordered sequence is exported(i), and by the intermediate value D(i)It is deleted from the ordered sequence,
Obtain the ordered sequence that length is L-1.
S603. next signal C is obtained(t), according to the signal C(t)Modulus value to insert it into length be that L-1 having
In sequence sequence, the ordered sequence that length is L is obtained.
S604. the intermediate value D in the ordered sequence is exported(i), and by the intermediate value D(i)It is deleted from the ordered sequence,
The ordered sequence that length is L-1 is obtained, and repeats previous step.
Further, the signal that the first conversion processor obtains can lose L data in the position that signal starts, in order to keep away
Exempt from the loss of signal length, reasonable interpolation can also be carried out in the position that signal starts, to restore the length of signal.Restoring
After signal length, obtained signal is inputted among the second conversion processor.
Specifically, the fortune that the signal that second conversion processor exports the first conversion processor is weighted and averaged
It calculates, specifically, enabling the output of second conversion processor is E(i), then its output meets formulaWherein, α, beta, gamma, v are fixed constant.In a feasible embodiment, point
Other value 3,2 ,-Isosorbide-5-Nitrae.Wherein, 2K is that the first test section acquires the frequency of signal compared to electromagnetic wave in the air for needing to filter out
Frequency signal multiple.
Life is transferred in the form of lossless compression via the data that the first digital processes obtain after data processing
Parameter monitoring center is managed, further data are analyzed by physiological parameter monitoring center.
Specifically, the physiological parameter monitoring center realizes following function:
(1) it determines the main wave direction of electrocardiosignal, and determines Q, R, S point.
(2) main wave rising edge relative amplitude, failing edge relative amplitude, rising edge gradient, failing edge are obtained based on Q, R, S point
Gradient, and judge whether obtained result indicates exception.
(3) wide QRS complex is judged whether there is, and provides judging result.
(4) above-mentioned judging result is stored to and is fed back to the middle control portion of the wearable device.
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (5)
1. a kind of wearable device based on the fusion of multi-source data information, it is characterised in that:
The wearable device includes test section and the digital processes that connect with the test section, and the wearable device handles electrocardio
Signal, blood pressure signal, temperature signal, pulse signal and activity state signals；
The digital processes include the first digital processes, the second digital processes and third digital processes；
Second digital processes include temperature data processing module, pulse data processing module and blood pressure data processing mould
Block；
The third digital processes include Signal Pretreatment unit, valid interval extraction unit and integral unit, the signal
Processing unit, valid interval extraction unit and integral unit are sequentially connected in series communication.
2. a kind of wearable device based on the fusion of multi-source data information according to claim 1, it is characterised in that:
The temperature data processing module judges whether the temperature data is greater than default for obtaining the temperature data measured
One temperature threshold is less than preset second temperature threshold value, if so, determining the temperature data for temperature anomaly data, and by institute
State control portion storage in the transmission of temperature anomaly data.
3. a kind of wearable device based on the fusion of multi-source data information according to claim 2, it is characterised in that:
The blood pressure data processing module includes pulse wave data processing unit and blood pressure data processing unit；
The pulse wave data processing unit includes the first filter unit, the second filter unit and amplifying unit being sequentially communicated,
First filter unit is for filtering out 50Hz Hz noise, and second filter unit is for filtering out low frequency noise interference；Institute
The impulse response for stating the first filter unit is made of limited sampled value, and collected pulse wave signal is in the first filter unit
Convolution is carried out with the coefficient of first filter unit；In order to promote the speed of service of the first filter unit, first filtering
N times multiplication and N- needed for unit is only sequentially completed a filtering operation with a multiplier and an accumulator in chronological order
1 sub-addition；
The blood pressure data processing unit includes blood pressure calculation unit and blood pressure judging unit.
4. a kind of wearable device based on the fusion of multi-source data information according to claim 2 or 3, it is characterised in that:
The third digital processes include Signal Pretreatment unit, valid interval extraction unit and integral unit, the signal
Processing unit, valid interval extraction unit and integral unit are sequentially connected in series communication；
The Signal Pretreatment unit for being filtered to the acceleration signal of acquisition, noise reduction and enhanced processing, obtain target
Acceleration signal；
The valid interval extraction unit is used for according to the aimed acceleration signal framing valid interval；The valid interval mentions
Unit is taken to execute following logics: the minimum point in positioning accelerating curve, using first zero point after minimum point as having
Imitate the cut-point in section；
The integral unit judges current activity state according to integral result for integrating to each valid interval, and
The current activity state is transmitted to middle control portion；The active state includes quiescent condition, slow active state and acutely lives
Dynamic state.
5. a kind of wearable device based on the fusion of multi-source data information according to claim 4, it is characterised in that:
Collected electrocardiosignal is converted to first object data by first digital processes, and first object data are passed
Transport to physiological parameter monitoring center；
First digital processes include preamplifier, preprocessor, the first conversion processor, the second conversion processor and
Post amplifier；The low frequency noise in electrocardiosignal that first conversion processor is used to be obtained by filtration, second conversion
The noise that the electromagnetic wave in air in electrocardiosignal that processor is used to be obtained by filtration generates；
It, can also be further across obtaining after lossless compression via the first object data that first digital processes obtain
One target packet, the first object data packet are sent to physiological parameter monitoring center, and physiological parameter monitoring center obtains
ECG Signal Analysis result be back to middle control portion.
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