CN105595995B - Physiological data detection system, detection device, terminal device, data analysing method - Google Patents
Physiological data detection system, detection device, terminal device, data analysing method Download PDFInfo
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- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1107—Measuring contraction of parts of the body, e.g. organ, muscle
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- A61B5/7271—Specific aspects of physiological measurement analysis
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Abstract
The present invention relates to a kind of physiological data detection system, detection device, terminal device and data analysing methods.The physiological data detection system includes detection device and terminal device, detection device is removably worn on user, and it is communicated with terminal device foundation, wherein, the detection device is for obtaining the eeg signal of user, the muscle electric signal of user's wearing site and 3-axis acceleration signal, and terminal device is sent the signal to, terminal device compares calculating to signal, obtains testing result.This physiological data detection system can simple and direct, easily and accurately predict the probability that user suffers from Parkinson disease, to carry out the preparation of prevention and treatment.
Description
Technical field
The present invention relates to medical fields, set in particular to a kind of physiological data detection system, detection device, terminal
Standby, data analysing method.
Background technique
Parkinson's disease is also known as idiopathic parkinsonism (idiopathic Parkinson ' s disease, PD), referred to as
Parkinson is the common the nervous system disease of the middle-aged and the old and the most common extrapyramidal disease of the middle-aged and the old.China
The illness rate of over-65s crowd's Parkinson's disease is about 1.7%, it is clear that this is a disease that cannot be ignored.
Parkinson's disease is more common in person in middle and old age, in insidiousness fall ill, 50 years old or more the total number of patients of patient Zhan 90% with
On.It is worth noting that, Parkinson's disease is a kind of Chronic Progressive course of disease, 5~8 Nian Houyue half patients want help.Tremble,
Tetanic, movement cannot (or movement reduce), REM sleep behavior disorder and posture and disequilibrium be that it is mainly showed.It is right
In early prediction, although mostly being easy to early diagnose for main shower to move there is individual difference more.Onset symptoms are successively
It trembles, tetanic or slow in one's movements, REM sleep behavior disorder, mistake for the inactive " twisting ball sample " of the 4-6Hz of side hand
Dexterous and (or) the obstacle that writes, gait disorder, myalgia spasm and pain, phrenoblabia such as depression and anxiety, aphasis, entirely
Body is out of strength and myasthenia, slobbers and mask face, it is generally accepted that 2.5 years average from morbidity to Diagnostic Time.
Parkinson's onset is slow, and early symptom is not fairly obvious, and human eye is difficult to observe, and there are individual difference,
This directly results in Parkinson's disease and is difficult just timely to be treated in early days, brings irremediable injury to patient.Early stage examines
Disconnected treatment, reinforces the nursing to patient, can effectively improve patients ' life quality.Pa gold can be effectively predicted by being badly in need of one kind on the market
Gloomy product.
Summary of the invention
In view of this, the embodiment of the present invention is designed to provide a kind of physiological data detection system, detection device, terminal
Equipment, data analysing method, to improve above-mentioned problem.
To achieve the goals above, technical solution used in the embodiment of the present invention is as follows:
A kind of physiological data detection system, including detection device and terminal device, the detection device are removably worn
It is communicated with user, and with terminal device foundation, wherein
The detection device is worn for obtaining the eeg signal of user, the muscle electric signal of user's wearing site and user
The 3-axis acceleration signal at position is worn, and the eeg signal, muscle electric signal and 3-axis acceleration signal are sent to institute
State terminal device；
The terminal device passes through for receiving the eeg signal, muscle electric signal and 3-axis acceleration signal
The posture of the 3-axis acceleration signal acquisition user is kept and disequilibrium situation, is added by the muscle electric signal and three axis
Speed signal obtains the muscular tremor situation and tetanic situation of user, is slept by the dynamic eye that the eeg signal obtains user
The data of acquisition and preset reference data are compared calculating, obtain testing result, and show the testing result by behavior.
Preferably, the terminal device is also used to the eeg signal, muscle electric signal and 3-axis acceleration signal
Carry out noise reduction process.
Preferably, calculating is calculated comparing the data of acquisition and preset reference data in the terminal device
As a result, the terminal device is also used to carry out weight distribution to calculated result according to preset ratio value.
The present invention also provides a kind of detection device, the detection device include brain electricity sensing module, myoelectricity sensing module,
3-axis acceleration sensing module and communication module, the communication module and the brain electricity sensing module, myoelectricity sensing module, three axis
Acceleration sensing module is electrically connected, and the detection device establishes communication link by the communication module and a terminal device
It connects, wherein
The brain electricity sensing module, for sensing the eeg signal of user and being sent to the eeg signal described logical
Interrogate module；
The myoelectricity sensing module, for sensing the muscle electric signal of user's wearing site and sending the muscle electric signal
To the communication module；
The 3-axis acceleration sensing module, for sensing the 3-axis acceleration signal of user's wearing site and by three axis
Acceleration signal is sent to the communication module；
The communication module, for the eeg signal received, muscle electric signal, 3-axis acceleration signal to be sent to
The terminal device.
Preferably, the detection device further includes wearing detection module, the wearing detection module and the brain fax sense
Module, myoelectricity sensing module, 3-axis acceleration sensing module are electrically connected, and the wearing detection module is for detecting user
It is no to wear the successfully detection device.
Preferably, the communication module to the eeg signal that the terminal device is sent include history eeg signal and
Real-time brain wave signal, muscle electric signal include history muscle electric signal and real-time muscle electric signal, 3-axis acceleration signal packet
Include history 3-axis acceleration signal and real-time 3-axis acceleration signal.
The present invention also provides a kind of terminal device, the terminal device includes data reception module and data analysis mould
Block, the data reception module are electrically connected with the data analysis module, wherein
The data reception module is used to receive the data of detection device transmission, which includes the brain wave letter of user
Number, muscle electric signal and 3-axis acceleration signal；
The data analysis module is for analyzing the data, wherein the data analysis module passes through described three
The posture of axle acceleration signal acquisition user is kept and disequilibrium situation, and keeps with preset posture and disequilibrium situation
Calculating is compared, the data analysis module passes through the muscle of the muscle electric signal and 3-axis acceleration signal acquisition user
Situation of trembling and tetanic situation, and calculating, the data analysis are compared with preset muscular tremor situation and tetanic situation
Module obtains the dynamic eye sleep behavior of user by the eeg signal, and compares meter with preset dynamic eye sleep behavior
It calculates, obtains testing result.
Preferably, the terminal device further includes Noise reducing of data module and weight distribution module, the data reception module
It is electrically connected by the Noise reducing of data module with the data analysis module, the weight distribution module and the data analyze mould
Block electrical connection, wherein
The Noise reducing of data module, for being carried out to the eeg signal, muscle electric signal and 3-axis acceleration signal
Noise reduction process；
The weight distribution module, for the data analysis module the data that will obtain and preset reference data into
After row comparing calculation obtains calculated result, weight distribution is carried out according to preset ratio value to the calculated result.
The present invention also provides a kind of data analysing methods, comprising:
Data are received, which includes eeg signal, muscle electric signal and 3-axis acceleration signal；
Data are analyzed, comprising: by the 3-axis acceleration signal acquisition posture keep and disequilibrium situation,
And calculating is compared with the holding of preset posture and disequilibrium situation, pass through the muscle electric signal and 3-axis acceleration is believed
Number muscular tremor situation and tetanic situation are obtained, and compares calculatings with preset muscular tremor situation and tetanic situation, it is logical
It crosses the eeg signal and obtains dynamic eye sleep behavior, and compare calculating with preset dynamic eye sleep behavior, calculated
As a result.
Preferably, after receiving data further include: carry out noise reduction process to the data；And to the calculated result according to
Preset ratio value carries out weight distribution.
Physiological data detection system provided by the invention, detection device, terminal device, data analysing method, pass through detection
Device obtains the physiological data of user and is sent to terminal device, and terminal device carries out analytical calculation to the physiological data, obtains
Testing result can predict the probability that user suffers from Parkinson disease, simple and direct, easily and accurately to carry out prevention and treatment
Preparation.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of schematic diagram of physiological data detection system provided by the embodiment of the present invention.
Fig. 2 shows a kind of functional module framework figures of detection device provided by the embodiment of the present invention.
Fig. 3 shows the functional module framework figure of another kind detection device provided by the embodiment of the present invention.
Fig. 4 shows a kind of functional module framework figure of terminal device provided by the embodiment of the present invention.
Fig. 5 shows the functional module framework figure of another kind terminal device provided by the embodiment of the present invention.
Fig. 6 shows a kind of flow chart of data analysing method provided in an embodiment of the present invention.
Fig. 7 shows the flow chart of another data analysing method provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
Fig. 1 is please referred to, is a kind of schematic diagram for physiological data detection system that present pre-ferred embodiments provide.The present invention
The physiological data detection system that embodiment provides is applied to the probability that detection user suffers from Parkinson disease.The embodiment of the present invention provides
Physiological data detection system include detection device 110 and terminal device 120.Detection device 110 is removably worn on user
With, and communicated with the foundation of terminal device 120.
Detection device 110 is worn for obtaining the eeg signal of user, the muscle electric signal of user's wearing site and user
The 3-axis acceleration signal at position is worn, and the eeg signal, muscle electric signal and 3-axis acceleration signal are sent to end
End equipment 120.In order to accurately collect the muscle electric signal and 3-axis acceleration signal of user, detection device 110 is preferably worn on
The hand of user and foot.
Terminal device 120 is for receiving the eeg signal, muscle electric signal and 3-axis acceleration signal.
Terminal device 120 is kept by the posture of 3-axis acceleration signal acquisition user and disequilibrium situation.
Generally believe the different of disturbances in patients with Parkinson disease posture and gait at present normally due to active movement reflexive posture
Caused by insufficiency of accommodation, the early stage in Parkinson disease may occur in which.Starting is difficult, walking is slow, propulsion, step pitch are small, when walking,
It after start difficulty, but one takes a step, i.e., is washed away forward with minimum paces, the more walks the more fast, cannot stopped or turn immediately, it is flurried to claim
Gait.Cornering difficulties add disequilibrium because trunk is stiff, therefore when patient attempts to turn, it is that continuous small step is taken to make trunk
It is turned to together with head, due to attitudinal reflex insufficiency of accommodation, patient's walking is normal to occur unstable, tumble, is especially turning, upper to go downstairs
Ladder is easier to occur, and touching (drawing) patient when standing position has obvious shakiness.Because balance with posture insufficiency of accommodation patient it is anteflexion, lean forward,
Bent before trunk, bending knee bends elbow, and before both hands are placed in trunk, digital flexion constitutes the distinctive posture of this disease.For posture keep with
Disequilibrium, physiological data detection system provided in an embodiment of the present invention utilize the 3-axis acceleration of the user's wearing site obtained
Signal, when, which there is posture, in user to keep with disequilibrium, the image of 3-axis acceleration signal will appear specificity inclination and
Irregular variation can effectively capture the posture holding and balance that Parkinson is likely to occur early stage by capturing this variation
Obstacle.
Terminal device 120 passes through the muscular tremor situation of the muscle electric signal and 3-axis acceleration signal acquisition user and strong
Straight situation.
The muscular tremor of disturbances in patients with Parkinson disease be because limbs actuate flesh and Opposing muscle rhythmicity alternating contractions caused by, it is more
Since side upper limb distal end, ipsilateral lower limb and opposite side upper and lower extremities are gradually expanded to.Lower jaw, lip, tongue and head are generally most
After be involved.Upper limb trembles often than lower limb weight.The rhythmicity of finger trembles to form " rubbing the movement of ball sample with the hands ".For muscular tremor, originally
Inventive embodiments obtain the muscle electric signal and 3-axis acceleration signal of user's wearing site using detection device 110, along with
Muscular tremor, muscle electric signal waveform variation will appear certain variation and 3-axis acceleration image will appear it is abnormal tremble,
So as to accurately capture the special Sexual behavior features that human body trembles.Tetanic generation is to actuate flesh and short of money due to sufferer
The Muscle tensility of anti-flesh all increases.When passive movement is done in joint, the Muscle tensility increased is always consistent, and feels uniformly to hinder
Power, referred to as " lead-pipe rigidity ".It trembles as patient is associated with, then feels to occur on uniform resistance in stretching and beading limbs interrupted
Pause, if gear rotation, referred to as " cogwheel rigidity ".It is strong with flesh when cervical muscle, elbow, wrist, shoulder and SCID Mice activity
It is directly more significant.Due to muscle rigidity, there are specific positions in patient.Head is leaned forward, and trunk is bowed in the wrong, adduction of the upper limb, elbow joint buckling,
Wrist joint stretches, and receives in finger, and palmar opposition of thumb, interphalangeal joint stretches, and hip, knee joint are slightly curved.When progression of disease, these
Attitude disorders gradually aggravate.Myotonia serious person can cause the pain of limbs.For myotonia, the embodiment of the present invention utilizes detection
Device 110 obtains the muscle electric signal and 3-axis acceleration signal of user's wearing site, when there is dystonia, muscle electricity
Irregular movement caused by significant change can occur for signal, and 3-axis acceleration can be captured effectively because of Muscle tensility variation,
To guarantee can accurately to find the extremely caused muscle rigidity situation of muscle tone.
Terminal device 120 obtains the dynamic eye sleep behavior of user by the eeg signal.
REM sleep is a kind of form of sleep, is alternately present with non rapid eye movement sleep, NREMS, snap-action eye is slept under normal circumstances
Dormancy equispaced occurs once for 90 minutes, and 20 minutes or so every time, the normal REM sleep phase was that the muscle of people most loosens relaxation
The slow stage.REM sleep behavior disorder refers to that REM sleep phase muscular flaccidity phenomenon disappears, and occurs related to dreamland
Abnormal motion behavior paroxysmal disease.REM sleep behavior disorder can betide Parkinson's disease morbidity before or it
Afterwards.Tracking follow-up discovery to REM sleep behavior disorder patient, the 11-15 after they fall ill, there is 38-65%'s
Patient evolution is Parkinson's disease, and shows have the patient of 15-60% to be associated with to the investigation of the Parkinsonian of clinical definite
REM sleep behavior disorder.It makes a definite diagnosis REM sleep behavior disorder and relies primarily on clinical symptoms and sleep monitor, when doctor's height
When degree suspects that patient has REM sleep behavior disorder, sleep monitor can be found that patient has the above in the REM sleep phase
Abnormal behaviour, even if the sleep monitor very night does not have Typical onset, it has also been discovered that there is the exception of electromyogram in the REM sleep phase
Performance.Therefore, it is now recognized that REM sleep behavior disorder is the premonitory symptom of Parkinson's disease, increasingly by doctor and patient
Attention.It is directed to this symptom, the embodiment of the present invention obtains the eeg signal of user, especially α using detection device 110
Wave and θ wave can effectively obtain the dynamic eye information of user, and by capturing this information, we can be with accurate detection to user
Dynamic eye disturbance in sleep behavior feature.
Terminal device 120 obtain user posture keep and disequilibrium situation, muscular tremor situation and tetanic situation,
After the data such as dynamic eye sleep behavior, the data of acquisition and preset reference data are compared and are calculated to get testing result is arrived,
And show the testing result.User will be seen that itself suffers from the probability of Parkinson disease according to the testing result, to carry out just
Examine preparation.Wherein, reference data is eeg signal, the muscle electric signal and three according to the disturbances in patients with Parkinson disease of research different phase
Axle acceleration signal is obtained from the data of reference value.
Due to a large amount of noise being usually associated with, in order to ensure pre- in the physiological data of the user of the acquisition of detection device 110
The accuracy of survey, the embodiment of the present invention are provided in physiological data detection system, and terminal device 120 is also used to believe the brain wave
Number, muscle electric signal and 3-axis acceleration signal carry out noise reduction process.
Further, since posture is kept and disequilibrium situation, muscular tremor situation and tetanic situation, dynamic eye sleep behavior etc.
For judging whether user suffers from Parkinson disease with different reference values, so terminal device 120 is obtaining user's
Posture is kept and the data such as disequilibrium situation, muscular tremor situation and tetanic situation, dynamic eye sleep behavior, by the data of acquisition
It is compared with preset reference data after calculated result is calculated, terminal device 120 can also be according to preset ratio
Value carries out weight distribution to calculated result, to reach optimal prediction effect.It should be noted that the preset ratio value can be with
According to the physiological data real-time update of collected user, the process of the update is the process of a dynamic change with the period,
To obtain maximum precision of prediction.
Above-mentioned physiological data detection system obtains the relevant physiological data of user by detection device 110, and by the physiology
Data are sent to terminal device 120, and terminal device 120 obtains user with pa by comparing calculating to the physiological data
The probability of the gloomy disease of gold.It, can be conveniently and accurately pre- by using physiological data detection system provided in an embodiment of the present invention
The probability that user itself suffers from Parkinson disease is surveyed, it is practical.
Referring to figure 2., the embodiment of the invention also provides a kind of detection device 200, which be can be applied to
In the physiological data detection system stated.Detection device 200 provided in an embodiment of the present invention includes brain electricity sensing module 210, myoelectricity
Sensing module 220,3-axis acceleration sensing module 230 and communication module 240, the communication module 240 and the brain fax sense
Module 210, myoelectricity sensing module 220,3-axis acceleration sensing module 230 are electrically connected.Inspection provided in an embodiment of the present invention
It surveys device 200 and communication connection is established by communication module 240 and a terminal device 400.Wherein, the brain electricity sensing module 210,
For sensing the eeg signal of user and the eeg signal being sent to communication module 240；The myoelectricity sensing module
220, for sensing the muscle electric signal of user's wearing site and the muscle electric signal being sent to communication module 240；Described three
Axle acceleration sensing module 230, for sensing the 3-axis acceleration signal of user's wearing site and by the 3-axis acceleration signal
It is sent to communication module 240；The communication module 240, for adding the eeg signal received, muscle electric signal, three axis
Speed signal is sent to the terminal device 400.
Wherein, the communication between communication module 240 and terminal device 400 can use wire communication, can also use nothing
Line communication selects wireless communication, preferably Bluetooth communication in the present embodiment.Communication module 240 is sent to terminal device 400
Eeg signal include history eeg signal and real-time brain wave signal, muscle electric signal include history muscle electric signal and
Real-time muscle electric signal, 3-axis acceleration signal include history 3-axis acceleration signal and real-time 3-axis acceleration signal.History
Signal is that user wears the signal obtained after a period of time, this can be the historical signal repeatedly worn and obtained for a period of time,
It is also possible to once wear the signal that one section of duration obtains, live signal is the signal obtained under user's real-time status.Usually
In the case of, since historical signal has chronicity, it is considered more representative, but live signal can react user in real time
Therefore a possibility that user is with Parkinson disease can be better anticipated in the two collocation by state in which together.
It referring to figure 3., is the functional module framework figure of another detection device 300 provided in an embodiment of the present invention.The inspection
Survey device 300 is roughly the same with detection device 200, and improvement is: detection device 300 further includes wearing detection module 250, should
It wears detection module 250 and the brain electricity sensing module 210, myoelectricity sensing module 220,3-axis acceleration sensing module 230 is equal
It is electrically connected, the wearing detection module 250 is for detecting whether user wears successfully detection device 300.Because if user
Not successfully wear detection device 300, the letter that each sensing module of detection device 300 then cannot detect signal or detect
It is number undesirable, lead to the inaccuracy of judging result.Wearing detection module 250 is then the data acquired according to each sensing module
Situation judges whether detection device 300 wears success, when sensing module can not be collected into data or data exist leads to letter
When number not cognizable very noisy signal, that is, judge that user does not wear correctly.
The embodiment of the invention also provides a kind of terminal devices 400, are the function moulds of the terminal device 400 referring to figure 4.
Block frame composition.The terminal device 400 can be applied in above-mentioned physiological data detection system.The terminal device 400 includes number
According to receiving module 410 and data analysis module 420, the data reception module 410 is electrically connected with the data analysis module 420
It connects.Data reception module 410 can be hardware, for example data reception module 410 can be the data communication of terminal device 400 and connect
Mouthful, such as USB, rs232, bluetooth.The data analysis module 420 can be hardware, such as the processor of terminal device 400,
It is also possible to be installed on the software module of terminal device 400, for example, data analysis module 420 can be with program or instruction
Form is stored in the memory of terminal device 400, and is executed by the processor of terminal device 400.
Wherein, data reception module 410 is used to receive the data of detection device transmission, and the detection device can be
Any detection device in embodiment is stated, which includes that the eeg signal of user, muscle electric signal and three axis accelerate
Spend signal；Data analysis module 420 is for analyzing the data, wherein the data analysis module 420 passes through three axis
Acceleration signal obtain user posture keep and disequilibrium situation, and with preset posture keep and disequilibrium situation into
Row comparing calculation.Data analysis module 420 passes through the muscular tremor feelings of muscle electric signal and 3-axis acceleration signal acquisition user
Condition and tetanic situation, and calculating is compared with preset muscular tremor situation and tetanic situation.Data analysis module 420 passes through
Eeg signal obtains the dynamic eye sleep behavior of user, and compares calculating with preset dynamic eye sleep behavior.It is detected
As a result.
It referring to figure 5., is the functional module framework figure of another terminal device 500 provided in an embodiment of the present invention.The end
End equipment 500 is roughly the same with terminal device 400, and distinctive points are: terminal device 500 further includes 430 He of Noise reducing of data module
Weight distribution module 440, data reception module 410 are electrically connected by Noise reducing of data module 430 with data analysis module 420, are weighed
Value distribution module 440 is electrically connected with data analysis module 420.It should be noted that the Noise reducing of data module 430 and weight distribution
Module 440 can be hardware or software module simultaneously.
The Noise reducing of data module 430 is for dropping eeg signal, muscle electric signal and 3-axis acceleration signal
It makes an uproar processing.The weight distribution module is carried out for data analysis module 420 in the data and preset reference data that will be obtained
After comparing calculation obtains calculated result, weight distribution is carried out according to preset ratio value to the calculated result.
The embodiment of the invention also provides a kind of data analysing methods, please refer to Fig. 6, are provided in an embodiment of the present invention one
The flow chart of kind data analysing method.This method comprises:
S601: data are received, which includes eeg signal, muscle electric signal and 3-axis acceleration signal.
S602: data are analyzed, comprising: pass through 3-axis acceleration signal acquisition posture holding and disequilibrium
Situation, and calculating is compared with the holding of preset posture and disequilibrium situation, added by the muscle electric signal and three axis
Speed signal obtains muscular tremor situation and tetanic situation, and compares meter with preset muscular tremor situation and tetanic situation
It calculates, dynamic eye sleep behavior is obtained by the eeg signal, and compare calculating with preset dynamic eye sleep behavior, obtained
Calculated result.
Fig. 7 is please referred to, is the flow chart of another data analysing method provided in an embodiment of the present invention.In order to guarantee to receive
Data fidelity, make calculate result be more nearly actual conditions, further include step S603 after receiving the data: to institute
It states data and carries out noise reduction process.
Further, in order to which the accuracy of analysis is also wrapped after being analyzed to obtain the result of each comparing calculation to data
It includes step S604: weight distribution is carried out according to preset ratio value to each calculated result.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. a kind of physiological data detection system, which is characterized in that including detection device and terminal device, the detection device is removable
It is worn on user with unloading, and is communicated with terminal device foundation, wherein
The detection device is for obtaining the eeg signal of user, the muscle electric signal of user's wearing site and user's wearing portion
The 3-axis acceleration signal of position, and the eeg signal, muscle electric signal and 3-axis acceleration signal are sent to the end
End equipment；
The terminal device passes through described for receiving the eeg signal, muscle electric signal and 3-axis acceleration signal
The posture of 3-axis acceleration signal acquisition user is kept and disequilibrium situation, passes through the muscle electric signal and 3-axis acceleration
The muscular tremor situation and tetanic situation of signal acquisition user is slept by the dynamic eye that the eeg signal obtains user and is gone
For the data of acquisition and preset reference data are compared calculating, obtain testing result, and show the testing result, institute
Terminal device is stated to be also used to carry out weight distribution, the preset ratio to calculated result according to preset ratio value
For value according to the physiological data real-time update of collected user, the renewal process is the process with period dynamic change.
2. physiological data detection system according to claim 1, which is characterized in that the terminal device is also used to described
Eeg signal, muscle electric signal and 3-axis acceleration signal carry out noise reduction process.
3. a kind of detection device, which is characterized in that the detection device includes brain electricity sensing module, myoelectricity sensing module, three axis
Acceleration sensing module and communication module, the communication module and the brain electricity sensing module, myoelectricity sensing module, three axis accelerate
Degree sensing module is electrically connected, and the detection device is established by the communication module and a terminal device and communicated to connect,
In,
The brain electricity sensing module, for sensing the eeg signal of user and the eeg signal being sent to the communication mould
Block；
The myoelectricity sensing module, for sensing the muscle electric signal of user's wearing site and the muscle electric signal being sent to institute
State communication module；
The 3-axis acceleration sensing module, for sensing the 3-axis acceleration signal of user's wearing site and accelerating three axis
Degree signal is sent to the communication module；
The communication module, it is described for the eeg signal received, muscle electric signal, 3-axis acceleration signal to be sent to
Terminal device leads to so that the terminal device is kept according to 3-axis acceleration signal acquisition user's posture and disequilibrium situation
The muscle electric signal and the muscular tremor situation and tetanic situation of 3-axis acceleration signal acquisition user are crossed, the brain electricity is passed through
The data of acquisition and preset reference data are compared calculating, are examined by the dynamic eye sleep behavior of wave signal acquisition user
Survey as a result, and show the testing result, the terminal device is also used to carry out calculated result according to preset ratio value
Weight distribution, physiological data real-time update of the preset ratio value according to collected user, the renewal process
For with the process of period dynamic change.
4. detection device according to claim 3, which is characterized in that it further include wearing detection module, the wearing detection
Module is electrically connected with the brain electricity sensing module, myoelectricity sensing module, 3-axis acceleration sensing module, the wearing detection
Module is for detecting whether user wears successfully the detection device.
5. detection device according to claim 3, which is characterized in that the communication module is sent to the terminal device
Eeg signal includes history eeg signal and real-time brain wave signal, and muscle electric signal includes history muscle electric signal and reality
When muscle electric signal, 3-axis acceleration signal include history 3-axis acceleration signal and real-time 3-axis acceleration signal.
6. a kind of terminal device, which is characterized in that the terminal device includes data reception module and data analysis module, described
Data reception module is electrically connected with the data analysis module, wherein
The data reception module be used for receives a detection device send data, the data include user eeg signal,
Muscle electric signal and 3-axis acceleration signal；
The data analysis module is for analyzing the data, wherein the data analysis module passes through three axis
Acceleration signal obtain user posture keep and disequilibrium situation, and with preset posture keep and disequilibrium situation into
Row comparing calculation, the data analysis module pass through the muscle electric signal and the shake of the muscle of 3-axis acceleration signal acquisition user
Situation of quivering and tetanic situation, and calculating is compared with preset muscular tremor situation and tetanic situation, the data analyze mould
Block obtains the dynamic eye sleep behavior of user by the eeg signal, and compares meter with preset dynamic eye sleep behavior
It calculates, obtains testing result, weight distribution, the preset ratio are carried out to calculated result according to preset ratio value
For value according to the physiological data real-time update of collected user, the renewal process is the process with period dynamic change.
7. terminal device according to claim 6, which is characterized in that further include Noise reducing of data module and weight distribution mould
Block, the data reception module are electrically connected by the Noise reducing of data module with the data analysis module, the weight distribution
Module is electrically connected with the data analysis module, wherein
The Noise reducing of data module, for carrying out noise reduction to the eeg signal, muscle electric signal and 3-axis acceleration signal
Processing；
The weight distribution module carries out pair for the data analysis module by the data of acquisition and preset reference data
After calculated result is calculated, weight distribution is carried out according to preset ratio value to the calculated result.
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| JP2018064740A (en) * | 2016-10-19 | 2018-04-26 | セイコーエプソン株式会社 | Rehabilitation system |
| CN106419929B (en) * | 2016-11-05 | 2020-01-17 | 上海大学 | Quantitative detection device for posture balance stability of Parkinson disease patient |
| CN110840430B (en) * | 2018-08-21 | 2022-09-13 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN111195189A (en) * | 2018-11-17 | 2020-05-26 | 中国科学院宁波工业技术研究院慈溪生物医学工程研究所 | Gait freezing symptom rehabilitation training method and system for Parkinson patient |
| CN110379481B (en) * | 2019-07-24 | 2024-04-30 | 上海交通大学医学院附属新华医院 | Post-illness management method and system for parkinsonism patient |
| CN110837298B (en) * | 2019-10-31 | 2022-04-29 | 福建心动生物科技有限公司 | Brain wave remote control training system and method based on concentration and vision |
| CN114366130A (en) * | 2022-02-17 | 2022-04-19 | 上海电机学院 | Myoelectricity evoked potential instrument based on tremor analysis |
| CN117275723B (en) * | 2023-09-15 | 2024-03-15 | 上海全景医学影像诊断中心有限公司 | Early parkinsonism prediction method, device and system |
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