CN108968952A - A kind of brain myoelectricity and Inertia information synchronous acquisition device - Google Patents
A kind of brain myoelectricity and Inertia information synchronous acquisition device Download PDFInfo
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- 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
- A61B5/369—Electroencephalography [EEG]
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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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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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
- A61B5/389—Electromyography [EMG]
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Abstract
A kind of brain myoelectricity and Inertia information synchronous acquisition device, including multi information synchronous acquisition sensor, embedded microprocessing systems, wireless transmission communication interface, data receiver platform and power module.Multi information synchronous acquisition sensor obtains synchronous EEG signals, electromyography signal and Inertia information in real time, embedded microprocessing systems are sent into after the signal conditions such as prime amplification, active power filtering, rear class amplification, microprocessing systems carry out A/D conversion and optimization processing to EEG signals, electromyography signal and Inertia information, and signal is wirelessly transmitted to data receiver platform by wireless transmission communication interface.Apparatus of the present invention have many advantages, such as multi signal acquisition, wireless transmission, communication robust, scalability strong, portability, easy to operate, it can be used for moving midbrain, electromyography signal and the acquisition of Inertia information real-time synchronization, meet the data receiver process demand of a variety of data application platforms such as PC machine, mobile phone simultaneously, provides great convenience for the analysis of human body athletic posture and functional evaluation, brain-computer interface research and application field.
Description
Technical field
The present invention relates to more physiological signal collection technical fields, more particularly to one kind to have EEG signals, human body surface flesh
The multi information synchronous acquisition device of electric signal and motional inertia information real-time synchronization acquisition function.
Background technique
People under rest state or by extraneous sound, light etc. stimulate when, cerebral cortex can all generate it is lasting, have the rhythm and pace of moving things
Property potential change, the waveform that current potential changes over time can be collected by placing electrode on cerebral cortex or scalp, by it
It extracts and is amplified, record that obtain brain electric (Electroencephalogram, EEG).EEG is that human body is thin to nerves within the body
The concentrated expression of intracellular activity (such as ion exchange, metabolism), wherein including the various forms of thinking mistake area information of people
With a large amount of physiologic informations, it is widely used in the basic research in the fields such as psychology, neuro-physiology, cognitive science.
Surface electromyogram signal is during human body completes various limb actions, during limbs superficial muscle and nerve conduction
Accumulation electrical effect of the electrical activity in skin surface, the integrated informations such as the energy variation of surface electromyogram signal and frequency range,
It being capable of the largely quantitative physiology for reflecting tested muscle and mechanism state.Research to electromyography signal, can be deeper
What is entered seeks the inherent mechanism of Neuscience, deepens the understanding to human body itself.
Human motion Inertia information can directly indicate acceleration, angular speed, the angle etc. of each position movement of human body
It is flexible can to directly obtain Human Stamina, joint motion by capturing and analyzing human motion Inertia information for physical message
Property etc. crucial extrinsic information.More comprehensive reference is provided to demands such as subsequent analysis, control and evaluations.
Traditional electro-physiological signals acquisition equipment often can only to the multi-modal physiological signals such as brain electricity, myoelectricity or electrocardio into
Capable single acquisition, but human body is the entirety with extremely strong circulation uniformity, only extracting presence to single signal can not
Comprehensive acquisition, comprehensive can not analyze, can not comprehensive diagnostic assessment, can not it is comprehensive with etc. many drawbacks, can not
Meet the various fields such as medicine, sport, amusement in current application demand.Inertia information is introduced into acquisition system, by right
The combination collection analysis of the inertia such as acceleration, angle and angular speed parameter and physiological signal, can more accurately describe people
The information such as acceleration, angle, angular speed of the body when electro-physiological signals trigger, and then to be transported in more electro-physiological signals collection process
Kinetic force research provides reliability reference, facilitate more specifically obtain human body in external physiologic information, make be
System is more comprehensively perfect, improves ability of the system in terms of action description, locomotion evaluation and rehabilitation medical analysis.
Summary of the invention
Unlimited, easy to carry, signal wireless transmission that it is an object of that present invention to provide a kind of use environments, multinode acquire
Brain myoelectricity and Inertia information synchronous acquisition device.
To achieve the above object, use following technical scheme: device of the present invention includes that multi information synchronous acquisition passes
Sensor, embedded microprocessing systems, wireless transmission communication interface, data receiver platform, power module；The multi information, which synchronizes, to be adopted
Collection sensor is connected with embedded microprocessing systems, and embedded microprocessing systems are connected with wireless transmission communication interface, wireless to pass
Defeated communication interface is attached with data receiver platform by wireless technology；Power module be multi information synchronous acquisition sensor,
Embedded microprocessing systems, wireless transmission communication interface power supply, and simulate ground and digitally separate.
Further, the multi information synchronous acquisition sensor includes eeg signal acquisition sensor, electromyographic signal collection
Sensor and Inertia information acquire sensor, are used for synchronous acquisition EEG signals, human body surface myoelectric signal and Inertia information；Brain
Electrical signal collection sensor is by electrode for encephalograms, preamplifying circuit, second-order active power filter circuit, rear class amplifying circuit and voltage
It is formed with circuit；Electromyographic signal collection sensor is by electromyographic electrode, difference main amplifying circuit, second-order active power filter circuit and electricity
Press match circuit composition.Wherein, the electrode for encephalograms connects preamplifying circuit, extracts EEG signals；The prime amplification electricity
Road connects second-order active power filter circuit, carries out differential amplification to the signal of extraction, the high cmrr of differential signal can have
The common mode interference of the inhibition small-signal of effect；The second-order active power filter circuit connects rear class amplifying circuit, low-pass filter energy
It enough realizes signal amplification, inhibit HF noise signal and smothing filtering effect, improve signal-to-noise ratio, high-pass filtering realizes that signal is high
Frequency noise filters out.Rear class amplifying circuit carries out last gain adjustment to EEG signals, while guaranteeing signal zero drift
Rejection ability；The myoelectricity acquisition sensor is by electromyographic electrode, difference main amplifying circuit, second-order active power filter circuit and voltage
Match circuit composition.Filter circuit need to only adjust the size of resistance and capacitor, can acquire sensor and brain wave acquisition to myoelectricity
Sensor is applicable in.Wherein, the baseline of brain electromyography signal can be raised to the middle section of A/D range by the voltage matches circuit, from
And converted convenient for subsequent A/D, signal amplitude is also avoided because beyond dropout situation caused by A/D acquisition range.It is described used
Property information acquisition sensor is made of inertia chip drive circuit and communication interface, can acquire head, human synovial angle in real time
The Inertia informations such as degree, upper limks movements, lower limb movement.
Further, the embedded microprocessing systems include embedded type control module, A/D conversion module, SPI communication connect
Mouthful；The A/D conversion module connects embedded type control module, and EEG signals and electromyography signal are converted into number by analog quantity
Amount.The SPI communication interface connects embedded type control module, and the Inertia information received is sent to embedded type control module.
The embedded type control module is responsible for connecing after handling EEG signals, electromyography signal and Inertia information to wireless transmission communication
Mouth sends valid data and control instruction.
Further, the wireless transmission communication interface includes USART serial port, wireless communication module, is to realize node
The synchronous key problem in technology obtained of formula data.It can connect the different wireless communications module such as Wi-Fi, Zigbee, bluetooth, cause the device to
It is enough that wireless data transmission is carried out from different data receiver platforms with communication.
Further, described device is made of several brain wave acquisition nodes and myoelectricity acquisition node networking, number of nodes
It can according to need unrestricted choice, each node can acquire single pass brain electricity or electromyography signal, and acquire Inertia information simultaneously.
Further, electromyographic signal collection frequency range is between 10-500Hz, and the frequency range of brain wave acquisition is in 0.1-
Between 100Hz.
Further, the Inertia information acquisition sensor is made of inertia chip drive circuit and communication interface, is placed in
Each acquisition node can acquire nine axis motional inertia information in real time.
Further, PC machine, laptop, mobile phone, tablet computer and clothes can be used in the data receiver platform
The data receivers platforms such as business device, improve equipment flexibility.
Compared with prior art, the present invention has the advantage that
1, designed using node type, meet the signal acquisition under a variety of environment, signal stabilization, scalability be strong, it is convenient to wear,
Small in size, good portability.
2, it with wireless transmission communication interface technique, realizes wireless signal acquiring, PC machine, mobile phone, plate electricity can be met simultaneously
A variety of data receiver platforms such as brain.
3, EEG signals, electromyography signal and Inertia information synchronous acquisition are realized, by Inertia information and brain electricity, electromyography signal into
Row comprehensive analysis can form multi-faceted assessment, and then make research comprehensively and evaluation to human motion function and health status.
4, EEG signals, human body surface myoelectric signal are effectively combined with motional inertia information, and skill by wireless communication
Art, with terminal device real-time communication.On the one hand can real-time synchronization extract electro-physiological signals feature, believe from time domain, frequency domain etc. are different
Number analytic angle obtains the internal information of human motion.On the other hand by capturing and analyzing human motion Inertia information, directly
Obtain the crucial extrinsic information such as Human Stamina, joint motion flexibility.Meanwhile the present invention has communication signal stabilization, expands
Open up that function is strong, light series of advantages such as portable, easy to operate, for the fields such as medical science of recovery therapy, sports science research provide before
End acquisition equipment and technical support.
Detailed description of the invention
Fig. 1 is the system structure diagram of apparatus of the present invention；
Fig. 2 is wearing schematic of the invention；
Fig. 3 is midbrain myoelectric information of the present invention acquisition and preprocessing part flow chart；
Fig. 4 is Inertia information collecting part flow chart in the present invention.
Drawing reference numeral: 1- multi information synchronous acquisition sensor, the embedded microprocessing systems of 2-, 3- wireless transmission communication connect
Mouth, 4- data receiver platform, 5- power module.
Specific embodiment
The present invention will be further described with reference to the accompanying drawing:
In the structural block diagram of apparatus of the present invention as shown in Figure 1, acquisition device of the present invention includes that multi information is synchronous
Acquire sensor 1, embedded microprocessing systems 2, wireless transmission communication interface 3, data receiver platform 4 and power module 5.Its
In:
The multi information synchronous acquisition sensor 1 include eeg signal acquisition sensor, electromyographic signal collection sensor and
Inertia information acquires sensor.Eeg signal acquisition sensor connects embedded microprocessing systems with electromyographic signal collection sensor
A/D conversion module in 2；Inertia information acquisition sensor connects the SPI interface in embedded microprocessing systems 2.Multi information is same
Step acquisition sensor 1 will be sent to embedded after the EEG signals of acquisition, surface electromyogram signal and motional inertia information pre-processing
Microprocessing systems 2.
The embedded microprocessing systems 2 include A/D conversion module, SPI communication interface, embedded type control module.A/D turns
It changes the mold block and EEG signals and electromyography signal is converted into digital quantity by analog quantity.The Inertia information that SPI communication interface will receive
It is sent to embedded type control module.Embedded Control core does further data to multi signal and extracts classification and algorithm process, and
EEG signals, surface electromyogram signal and motional inertia synchronizing information are transmitted to wireless transmission communication interface 3.
The wireless transmission communication interface 3 includes USART serial port, wireless communication module, is to realize that node type data are same
Walk the key problem in technology obtained.It can connect the different wireless communications module such as Wi-Fi, Zigbee, bluetooth, enable a device to a variety of
Communication mode carries out wireless data transmission from different data receiver platforms.
The number such as PC machine, laptop, mobile phone, tablet computer and server can be used in the data receiver platform 4
According to receiving platform, equipment flexibility is improved.
The power module 5 provides power supply power supply, mould for multi information synchronous acquisition sensor, embedded microprocessor system
Intend ground and digitally separates
The course of work of the invention is described in detail below:
One, multi signal acquires
The wearing schematic of apparatus of the present invention as shown in Figure 2, user acquire myoelectricity and Inertia information as needed
Myoelectricity acquisition device node is fixed on human body surface by position, and electrode uses the differential input of bikini, and two of them are that difference is defeated
Enter end, another is with reference to ground, and two acquisition electrodes of device are placed in the flesh for needing to acquire along muscle fibre direction respectively
On meat；Brain wave acquisition device node is fixed on forehead, it is ensured that electrode contacts well with scalp.
Two, Signal Pretreatment
Multi information acquisition and preprocessing part flow chart, electrode for encephalograms and the collected brain of electromyographic electrode as shown in Figure 3
Through preamplifying circuit differential amplification, the high cmrr of differential signal can effectively inhibit micro- for electric signal and electromyography signal
The common mode interference of weak signal.After prime is amplified, second-order active power filter circuit will mix therein in useful signal frequency model
Outer ambient noise removal is enclosed, the frequency range of electromyography signal is usually between 10-500Hz, and brain electricity is then in 0.1-100Hz
Between, high-pass filter allows the wave band higher than cutoff frequency to pass through, and lower than being attenuated for cutoff frequency, low-pass filter is then realized
The opposite effect.Filter circuit effectively filters out impurity signal, and signal quality is made to be further strengthened.It is carried out while filtering secondary
Signal, is disposably amplified excessively high amplitude by amplification, wherein the noise signal mixed very likely will lead to signal saturation, it is multistage
Amplification is conducive to the processing to noise.EEG signals also need rear class amplifying circuit to carry out last gain, reach required width
Value.Voltage matches circuit carries out voltage lifting to signal, and useful signal amplitude range is lifted within A/D input range, is kept away
Exempt from signal because beyond dropout caused by A/D input range.
Inertia information collecting part flow chart as shown in Figure 4, Inertia information acquire sensor using dynamics resolve and
Kalman filtering algorithm can accurately solve current kinetic posture in a dynamic environment, and transmit a signal to embedded Control
Module, control module carry out classification extraction, obtain the data informations such as acceleration, angular speed, magnetic field strength.
Three, data are analyzed
Collected data are wirelessly transmitted to receiving platform by embedded type control module, host computer by collected brain electricity,
Myoelectricity, Inertia information carry out category filter, show signal waveform and numerical value, and complete feature extraction to electro-physiological signals and when
Frequency-domain analysis realizes the movement function such as human motion concertedness, athletic posture analysis, brain myoelectricity consistency by corresponding analysis algorithm
It can evaluation.
Embodiment described above only describe the preferred embodiments of the invention, not to model of the invention
It encloses and is defined, without departing from the spirit of the design of the present invention, those of ordinary skill in the art are to technical side of the invention
The various changes and improvements that case is made should all be fallen into the protection scope that claims of the present invention determines.
Claims (7)
1. a kind of brain myoelectricity and Inertia information synchronous acquisition device, it is characterised in that: described device includes multi information synchronous acquisition
Sensor, embedded microprocessing systems, wireless transmission communication interface, data receiver platform, power module；The multi information is synchronous
Acquisition sensor is connected with embedded microprocessing systems, and embedded microprocessing systems are connected with wireless transmission communication interface, wirelessly
Transmission communication interface is attached with data receiver platform by wireless technology；Power module is multi information synchronous acquisition sensing
Device, embedded microprocessing systems, wireless transmission communication interface power supply, and simulate ground and digitally separate.
2. a kind of brain myoelectricity according to claim 1 and Inertia information synchronous acquisition device, it is characterised in that: more letters
Breath synchronous acquisition sensor includes eeg signal acquisition sensor, electromyographic signal collection sensor and Inertia information acquisition sensing
Device is used for synchronous acquisition EEG signals, human body surface myoelectric signal and Inertia information；Eeg signal acquisition sensor is by brain electricity electricity
Pole, preamplifying circuit, second-order active power filter circuit, rear class amplifying circuit and voltage matches circuit composition；Electromyographic signal collection
Sensor is made of electromyographic electrode, difference main amplifying circuit, second-order active power filter circuit and voltage matches circuit.
3. a kind of brain myoelectricity according to claim 1 and Inertia information synchronous acquisition device, it is characterised in that: the insertion
The processing system that declines includes embedded type control module, A/D conversion module, SPI communication interface；Wherein, the A/D conversion module connects
Embedded type control module is connect, SPI communication interface connects embedded type control module.
4. a kind of brain myoelectricity according to claim 1 and Inertia information synchronous acquisition device, it is characterised in that: described wireless
Transmission communication interface includes USART serial port, wireless communication module, and it is logical to can connect Wi-Fi, Zigbee, bluetooth different radio
Believe module.
5. a kind of brain myoelectricity according to claim 1 and Inertia information synchronous acquisition device, it is characterised in that: described device
It is made of several brain wave acquisition nodes and myoelectricity acquisition node networking, number of nodes can according to need unrestricted choice, each
Node can acquire single pass brain electricity or electromyography signal, and acquire Inertia information simultaneously.
6. a kind of brain myoelectricity according to claim 1 and Inertia information synchronous acquisition device, it is characterised in that: electromyography signal
Frequency acquisition range is between 10-500Hz, and the frequency range of brain wave acquisition is between 0.1-100Hz.
7. a kind of brain myoelectricity according to claim 1 and Inertia information synchronous acquisition device, it is characterised in that: the inertia
Information acquisition sensor is made of inertia chip drive circuit and communication interface, is placed in each acquisition node, can acquire nine in real time
Axis motional inertia information.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109805912A (en) * | 2019-04-10 | 2019-05-28 | 燕山大学 | The multi signal synchronous acquisition device and method of a kind of human Body Physiology Multi-parameter and inertial signal |
| CN109875534A (en) * | 2019-04-24 | 2019-06-14 | 燕山大学 | A kind of wearable device of human Body Physiology Multi-parameter acquisition |
| CN110236498A (en) * | 2019-05-30 | 2019-09-17 | 北京理工大学 | A kind of more physiological signal synchronous acquisitions, data sharing and online real time processing system |
| CN110584653A (en) * | 2019-10-09 | 2019-12-20 | 褚明礼 | Multi-electric acquisition, analysis and feedback system based on wearable equipment |
| CN110751060A (en) * | 2019-09-29 | 2020-02-04 | 西安交通大学 | Portable motion mode real-time identification system based on multi-source signals |
| CN111938630A (en) * | 2020-08-05 | 2020-11-17 | 北京利美缘科技发展有限公司 | Functional chair with bioelectricity monitoring function |
| WO2021042970A1 (en) * | 2019-09-03 | 2021-03-11 | 北京海益同展信息科技有限公司 | Motion speed analysis method and apparatus, and wearable device |
| CN112834523A (en) * | 2021-01-03 | 2021-05-25 | 福建省万物智联科技有限公司 | Broken yarn detection circuit |
| CN113576403A (en) * | 2021-07-07 | 2021-11-02 | 南方科技大学 | Quantitative evaluation method for human body bidirectional coupling information conduction path and sensing system |
| CN115150768A (en) * | 2022-09-06 | 2022-10-04 | 休美(北京)微系统科技有限公司 | Human body physiological signal acquisition system |
| CN115381455A (en) * | 2022-07-27 | 2022-11-25 | 歌尔股份有限公司 | Electromyographic signal acquisition device, control method and electronic equipment |
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| CN104138258A (en) * | 2014-07-18 | 2014-11-12 | 燕山大学 | Portable electroencephalographic and electromyographic signal synchronous acquisition device |
| CN106377253A (en) * | 2016-09-14 | 2017-02-08 | 燕山大学 | Electromyographic signal and inertia information synchronous collection device |
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| CN104138258A (en) * | 2014-07-18 | 2014-11-12 | 燕山大学 | Portable electroencephalographic and electromyographic signal synchronous acquisition device |
| CN106377253A (en) * | 2016-09-14 | 2017-02-08 | 燕山大学 | Electromyographic signal and inertia information synchronous collection device |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109805912A (en) * | 2019-04-10 | 2019-05-28 | 燕山大学 | The multi signal synchronous acquisition device and method of a kind of human Body Physiology Multi-parameter and inertial signal |
| CN109875534A (en) * | 2019-04-24 | 2019-06-14 | 燕山大学 | A kind of wearable device of human Body Physiology Multi-parameter acquisition |
| CN110236498A (en) * | 2019-05-30 | 2019-09-17 | 北京理工大学 | A kind of more physiological signal synchronous acquisitions, data sharing and online real time processing system |
| WO2021042970A1 (en) * | 2019-09-03 | 2021-03-11 | 北京海益同展信息科技有限公司 | Motion speed analysis method and apparatus, and wearable device |
| CN110751060A (en) * | 2019-09-29 | 2020-02-04 | 西安交通大学 | Portable motion mode real-time identification system based on multi-source signals |
| CN110584653A (en) * | 2019-10-09 | 2019-12-20 | 褚明礼 | Multi-electric acquisition, analysis and feedback system based on wearable equipment |
| CN111938630A (en) * | 2020-08-05 | 2020-11-17 | 北京利美缘科技发展有限公司 | Functional chair with bioelectricity monitoring function |
| CN112834523A (en) * | 2021-01-03 | 2021-05-25 | 福建省万物智联科技有限公司 | Broken yarn detection circuit |
| CN113576403A (en) * | 2021-07-07 | 2021-11-02 | 南方科技大学 | Quantitative evaluation method for human body bidirectional coupling information conduction path and sensing system |
| CN115381455A (en) * | 2022-07-27 | 2022-11-25 | 歌尔股份有限公司 | Electromyographic signal acquisition device, control method and electronic equipment |
| CN115150768A (en) * | 2022-09-06 | 2022-10-04 | 休美(北京)微系统科技有限公司 | Human body physiological signal acquisition system |
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