CN109394442A - A kind of showing for E.E.G control is multifunction nursing bed with voice prompting - Google Patents
A kind of showing for E.E.G control is multifunction nursing bed with voice prompting Download PDFInfo
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- CN109394442A CN109394442A CN201811219750.2A CN201811219750A CN109394442A CN 109394442 A CN109394442 A CN 109394442A CN 201811219750 A CN201811219750 A CN 201811219750A CN 109394442 A CN109394442 A CN 109394442A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G7/00—Beds specially adapted for nursing; Devices for lifting patients or disabled persons
- A61G7/001—Beds specially adapted for nursing; Devices for lifting patients or disabled persons with means for turning-over the patient
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G7/00—Beds specially adapted for nursing; Devices for lifting patients or disabled persons
- A61G7/05—Parts, details or accessories of beds
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2200/00—Information related to the kind of patient or his position
- A61G2200/10—Type of patient
- A61G2200/20—Type of patient with asymmetric abilities, e.g. hemiplegic or missing a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2203/00—General characteristics of devices
- A61G2203/10—General characteristics of devices characterised by specific control means, e.g. for adjustment or steering
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2203/00—General characteristics of devices
- A61G2203/10—General characteristics of devices characterised by specific control means, e.g. for adjustment or steering
- A61G2203/18—General characteristics of devices characterised by specific control means, e.g. for adjustment or steering by patient's head, eyes, facial muscles or voice
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2203/00—General characteristics of devices
- A61G2203/10—General characteristics of devices characterised by specific control means, e.g. for adjustment or steering
- A61G2203/20—Displays or monitors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
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- Health & Medical Sciences (AREA)
- Nursing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present invention relates to nursing bed technical fields, showing in particular a kind of E.E.G control is multifunction nursing bed with voice prompting, including the nursing bed ontology treated for patient, it is worn on the brain cap device of patients head and the analytical equipment for analyzing brain wave, showing for E.E.G control is multifunction nursing bed with voice prompting, the connector rotation of the first winding roll side is driven by shaking crank, so that traction rope can be recovered on spool by spool with crank rotation, and mattress is pulled by connection cloth, and then realize the turn work of patient, the received EEG signals of brain cap device can be acquired by EEG signals front end acquisition module, and feature extraction can be carried out to the EEG signals received by characteristic extracting module, and then phonetic representation can be carried out to EEG signals by voice module.
Description
Technical field
The present invention relates to nursing bed technical field, what specially a kind of E.E.G controlled is shown and voice prompting Multifunctional protective
Manage bed.
Background technique
For the old perhaps conscious form of Critical Ill Patient but can not speech or limbs can not movable patient,
Clinical staff can not know that the exact demand of patient, such as patient will drink water and to eat in care operation, to turn over or
Person proposes that some other demands, clinic not can effectively solve now.In consideration of it, it is proposed that a kind of E.E.G control can
Display and voice prompting are multifunction nursing bed.
Summary of the invention
The purpose of the present invention is to provide a kind of E.E.G control show it is multifunction nursing bed with voice prompting, with solve
The old perhaps conscious form of Critical Ill Patient mentioned above in the background art but can not speech or limbs can not be movable
The problem of patient, clinical staff can not know the exact demand of patient in care operation.
To achieve the above object, the invention provides the following technical scheme:
A kind of showing for E.E.G control is multifunction nursing bed with voice prompting, including the nursing bed sheet treated for patient
Body, the brain cap device for being worn on patients head and the analytical equipment for analyzing brain wave, the nursing bed ontology include
The mattress of the nursing bed bodies top is set, and the back side of the mattress is provided with one end connection cloth, described to connect the another of cloth
One end is provided with traction rope, and edge of bed one end of the nursing bed ontology is equipped with wrap-up, and the wrap-up includes clamping
A pair of of fixture on edge of bed, one of them described fixture back side are equipped with the first winding roll, another described fixture back side peace
Equipped with the second winding roll, the inside of first winding roll and second winding roll is mounted on spool, the first volume
The outer wall of drum and second winding roll is provided with connector, the inside of the connector open up it is fluted, described in two
Conveyer belt is provided between groove, the connector outer wall close to first winding roll side is equipped with crank.
Preferably, it is described connection cloth one end and mattress by needlework suture fix, it is described connection cloth the other end with
The traction rope suture is fixed.
Preferably, the other end ring-wound of the traction rope is in the spool outer wall.
Preferably, the crank and the connector are welded and fixed.
Preferably, the analytical equipment includes EEG signals front end acquisition module, single chip control module, wireless transmission
Module, display module, characteristic extracting module and voice module；
The EEG signals front end acquisition module is for being acquired the received EEG signals of brain cap device；
The single chip control module is for converting analog signals into digital signal；
The wireless transport module is used to the digital signal of brain electricity being sent to receiving end；
The display module, which is used to receiving end single-chip microcontroller receiving eeg data, to be transmitted to liquid crystal display and shows；
The characteristic extracting module is used to carry out feature extraction to the EEG signals received；
The voice module is used to carry out phonetic representation to EEG signals.
Preferably, the characteristic extracting module includes autoregression model module, statistical nature extraction module, frequency-domain analysis
Module and feature verification module；
The autoregression model module is used to carry out parameter Estimation using AR model；
The statistical nature extraction module is used to detect the dispersion degree of signal；
Frequency-domain analysis module analysis power spectrum, frequency of average power and power spectral density ratio these features
Value；
The feature verification module tests to the characteristic value of extraction using K-W method of inspection.
Preferably, the voice module includes speech recognition module, tone decoding module and voice output module；
The data that the speech recognition module is used to analyze brain wave identify；
Corresponding voice is analyzed and identified to the tone decoding module for being decoded to brain wave；
The voice output module is for exporting voice messaging.
Preferably, the tone decoding module includes information identification module, speech model module and Language Modeling mould
Block；
The information identification module for identification when, speech characteristic parameter to be identified is matched with acoustic model,
Obtain recognition result；
The speech model module is used to calculate the probabilistic model of a sentence probability of occurrence；
The Language Modeling module is used to combining Chinese grammar and semantic knowledge, the internal relation between descriptor, from
And discrimination is improved, reduce search range.
Preferably, E.E.G control shows that the operating procedure multifunction nursing bed with voice prompting is as follows:
S1: patient lies low on nursing bed ontology first, and operator drives the first winding roll side by shaking crank
Connector rotation, and the connector for being located at the second winding roll side is rotated driven by the conveyor belt, the first volume at this time
Traction rope can be recovered on spool by the spool in drum and the second winding roll as crank rotates, and pass through connection cloth
Mattress is pulled, and then realizes the turn work of patient；
S2: the received EEG signals of brain cap device 2 can be acquired by EEG signals front end acquisition module；
S3: digital signal is converted analog signals by single chip control module；
S4: the digital signal of brain electricity can be sent to by receiving end by wireless transport module；
S5: it receiving end single-chip microcontroller can be received by display module by eeg data is transmitted to liquid crystal display and show
Show；
S6: feature extraction can be carried out to the EEG signals received by characteristic extracting module；
S7: phonetic representation can be carried out to EEG signals by voice module.
Compared with prior art, beneficial effects of the present invention:
1, the E.E.G control show and voice prompting is multifunction nursing bed, pass through shake crank drive the first winding roll
The connector of side rotates, so that traction rope can be recovered on spool by spool with crank rotation, and passes through connection
Cloth pulls mattress, and then realizes the turn work of patient.
2, the E.E.G control show and voice prompting is multifunction nursing bed, pass through EEG signals front end acquisition module energy
It is enough that the received EEG signals of brain cap device are acquired, and by characteristic extracting module can to the EEG signals received into
Row feature extraction, and then phonetic representation can be carried out to EEG signals by voice module.
3, the E.E.G control show and voice prompting is multifunction nursing bed, by characteristic extracting module be convenient for brain electricity
The feature of wave extracts, and brain wave is tested and analyzed.
4, the E.E.G control show and voice prompting is multifunction nursing bed, can be by brain wave by voice module
Feature be converted into voice and export voice messaging；
5, the E.E.G control show and voice prompting is multifunction nursing bed, can be to brain by tone decoding module
The feature of electric wave is decoded, and in conjunction with Language Modeling module, in conjunction with Chinese grammar and semantic knowledge, carries out quickly progress
Match, obtains recognition result.
Detailed description of the invention
Fig. 1 is nursing bed body construction schematic diagram of the invention；
Fig. 2 is wrap-up structural schematic diagram of the invention；
Fig. 3 is brain cap device and analytical equipment connection figure of the invention；
Fig. 4 is EEG signals front end acquisition module figure of the invention；
Fig. 5 is characteristic extracting module figure of the invention；
Fig. 6 is voice module figure of the invention；
Fig. 7 is tone decoding module map of the invention；
Fig. 8 is EEG signals front end acquisition module input system functional block diagram of the invention；
Fig. 9 is EEG signals front end acquisition module output system functional block diagram of the invention；
Figure 10 is wireless module circuit diagram of the invention；
Figure 11 is display module circuit diagram of the invention；
Figure 12 is that STC12C5A60S2 single-chip microcontroller of the invention sends data flowchart；
Figure 13 is that STC12C5A60S2 single-chip microcontroller of the invention receives data flowchart；
Figure 14 is EEG signals front end acquisition module simulation result diagram of the invention；
Figure 15 is WT558 speech chip pinouts of the invention；
Figure 16 is speech chip of the invention and single-chip microcontroller connection figure.
In figure: 1, nursing bed ontology；11, mattress；12, cloth is connected；13, traction rope；14, wrap-up；141, fixture；
142, the first winding roll；143, the second winding roll；144, spool；145, connector；146, groove；147, conveyer belt；148,
Crank；2, brain cap device；3, analytical equipment.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", " length ", " width ",
" thickness ", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside", " up time
The orientation or positional relationship of the instructions such as needle ", " counterclockwise " is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of
The description present invention and simplified description, rather than the equipment of indication or suggestion meaning or element must have a particular orientation, with spy
Fixed orientation construction and operation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include one or more of the features.In the description of the present invention, the meaning of " plurality " is two or more,
Unless otherwise specifically defined.
Embodiment 1
A kind of showing for E.E.G control is multifunction nursing bed with voice prompting, as shown in Figure 1 to Figure 3, including for suffering from
The nursing bed ontology 1 of person's treatment is worn on the brain cap device 2 of patients head and the analytical equipment 3 for analyzing brain wave,
Nursing bed ontology 1 includes the mattress 11 that 1 top of nursing bed ontology is arranged in, and the back side of mattress 11 is provided with one end connection cloth 12,
The other end of connection cloth 12 is provided with traction rope 13, and edge of bed one end of nursing bed ontology 1 is equipped with wrap-up 14, wrap-up
14 include a pair of of the fixture 141 being clamped on edge of bed, and one of 141 back side of fixture is equipped with the first winding roll 142, another
141 back side of fixture is equipped with the second winding roll 143, and the inside of the first winding roll 142 and the second winding roll 143 is mounted on spiral
The outer wall of axis 144, the first winding roll 142 and the second winding roll 143 is provided with connector 145, and the inside of connector 145 opens up
Fluted 146, conveyer belt 147 is provided between two grooves 146,145 outer wall of connector close to 142 side of the first winding roll
Crank 148 is installed, the one end and mattress 11 for connecting cloth 12 are sutured by needlework to be fixed, and the other end and traction rope of cloth 12 are connected
13 sutures are fixed, and for the other end ring-wound of traction rope 13 in 144 outer wall of spool, crank 148 and the welding of connector 145 are solid
It is fixed.
In the present embodiment, connection cloth 12 is made of elastical cloth material, and material has good toughness, and elasticity is good,
Wearability is high.
Further, connector 145 and spool 144 are coaxially disposed, convenient for driving spool 144 by connector 145
Rotation, to carry out winding work.
Showing for the E.E.G control of the present embodiment is multifunction nursing bed when carrying out turn-over bed for patient with voice prompting, first
Patient lies low on nursing bed ontology 1, and operator drives the connector of 142 side of the first winding roll by shaking crank 148
145 rotations, and the connector 145 for being located at 143 side of the second winding roll is rotated under the drive of conveyer belt 147, at this time the
Traction rope 13 can be recovered to spool as crank rotates by the spool 144 in one winding roll 142 and the second winding roll 143
On 144, and mattress 11 is pulled by connection cloth 12, and then realize the turn work of patient.
Embodiment 2
As a kind of preferred embodiment, for the ease of analyzing brain wave, the present invention staff is provided with analytical equipment
3, as a kind of preferred embodiment, as shown in figure 4, analytical equipment 3 includes EEG signals front end acquisition module, single-chip microcontroller control mould
Block, wireless transport module, display module, characteristic extracting module and voice module, EEG signals front end acquisition module for pair
The received EEG signals of brain cap device 2 are acquired, and single chip control module is for converting analog signals into digital signal, nothing
Line transmission module is used to for the digital signal of brain electricity being sent to receiving end, and display module is used to receiving end single-chip microcontroller receiving brain
Electric data transmission is shown that characteristic extracting module is used to carry out feature to the EEG signals received to mention to liquid crystal display
It takes, voice module is used to carry out phonetic representation to EEG signals.
In the present embodiment, as shown in Figure 8 and Figure 9, analytical equipment 3 is based on STC12C5A60S2 single-chip microcontroller, wireless chip
The EEG signals front end acquisition module system of nRF24L01, very color liquid crystal display TFT6448BS-5.7, wherein transmitting terminal
STC12C5A60S2 single-chip microcontroller is responsible for data acquisition and pretreatment, and nRF24L01 module is responsible for data transmit-receive transmission, receiving end
The data received are carried out waveform by liquid crystal display TFT6448BS-5.7 and shown by STC12C5A60S2 single-chip microcontroller.
In the present embodiment, as shown in Figure 12 and Figure 13, EEG signals front end acquisition module system is mono- by STC12C5A60S2
The transmitting terminal and receiving end that piece machine and nRF24L01 radio transmitting and receiving chip are constituted form, and transmitting terminal carries out A/D change by single-chip microcontroller
It changes and is wirelessly transferred, receiving end receives data by nRF24L01, then send to STC12C5A60S2 single-chip microcontroller and shown and divided
Analysis, all configuration works of wireless module nRF24L01 are completed by SPI, share the configuration words of 30B, general to use
Enhanced Shock BurstTM transceiver mode, under this operating mode, the program composition of system can be simpler, and steady
It is qualitative also can be higher, the configuration words of Enhanced Shock BurstTM make nRF24L01 be capable of handling radio frequency protocol, configure
Cheng Hou, during nRF24L01 work, the content that need to only change in its minimum byte can realize reception pattern
Switching between sending mode.
In the present embodiment, since the primary frequency range of human body electroencephalogram's signal is 0.05~100Hz, amplitude is about 10~
200 μ V, signal is very faint, while other biological electric signal is usually contaminated in EEG signals, along with the power frequency of 50Hz is dry
It disturbs, so that the measuring condition of EEG signals is extremely complex, tradition acquisition front end usually passes through simulation anti alias filter, multistage amplification
Circuit and wave circuit etc. improve the signal-to-noise ratio of signal, this will lead to the disadvantages of system bulk is larger, inconvenient and power consumption is high,
In order to accurately detect the EEG signals of clinical meaning, front end acquisition module selects the ADC1299 chip of TI company.
Further, single chip control module includes the single-chip microcontroller and receiving end single-chip microcontroller of transmitting terminal, transmitting terminal single-chip microcontroller
Must have Embedded A/D converter, the single-chip microcontroller external LCD of palpus of receiving end, therefore select model STC12C5A60S2 mono-
Piece machine, which is 8051 single-chip microcontrollers of macrocrystalline science and technology a new generation, using the newest 6th generation encryption technology of macrocrystalline
STC12C5A60S2 series monolithic can not be decrypted, and have very strong anti-interference ability, be internally integrated the A/D conversion of 10,8 tunnel
Device has used A/D conversion function in the system, system is made to be not required to additional A/D conversion chip, meanwhile, the single-chip microcomputer speed is fast, essence
Degree is high, and the ADC of STC12C5A60S2 is gradually comparison A/D C, and after energization, EEG signals pass through after 8 conductive electrodes acquire by electricity
Sub switch control enters the single-chip microcontroller of transmitting terminal, guarantees that a moment only has and leads signal entrance, ADC input channel is multiple with P1 mouthfuls
With, P1 mouthfuls are I/O mouthfuls of weak pull-up type after electrification reset, it may continue as I/O mouthfuls not as the mouth that ADC is used and use, single-chip microcontroller
Digital signal is converted analog signals by ADC, while controlling wireless module and the digital signal of brain electricity is sent to receiving end
Wireless module, enter the real-time display and storage of the chip microcontroller signal of receiving end.
Specifically, wireless transport module can using FSK modulation using 2.4GHz Wireless monolithic transceiving chip nRF24L01
To realize point-to-point or 1 pair 6 wireless communication, wireless communication speeds can achieve 2Mb/s, and nRF24L01 can be by SPI interface
It is connect with microprocessor, setting is completed by this interface and sending and receiving data works, STC12C5A60S2 single-chip microcontroller is integrated with SPI
Controller can be easily arranged by software, and the machine address Shi Caihui output data is only received, and programming is very convenient,
The connection figure of nRF24L01 and single-chip microcontroller is as shown in Figure 10.
In addition, display module include ken diagonal line be 5.7 inches, resolution ratio 640&TImes；480 very color liquid crystal
Display TFT6448BS-5.7, this display screen operating voltage are 3.3/5V, support 256 colors, and the programming of the system includes single
Piece machine program, LCD driver, transmitting terminal carry out A/D transformation and wireless transmission by single-chip microcontroller, and receiving end is by list
Piece machine receives data by nRF24L01, send to liquid crystal display and is shown.Receiving end single-chip microcontroller receive eeg data it
After be transmitted to liquid crystal display and shown, each point hints obliquely at a byte in display-memory in display screen, on display screen
X, Y coordinates and display-memory address correspond, therefore, only need to input X, Y coordinates can direct read/write accordingly count
According to without calculating address of the pixel in display-memory, X-coordinate adds 1 automatically after data are written, and moves certainly after writing full a line
Row, can also realize that Y-coordinate adds 1 automatically, the connection of single-chip microcontroller and liquid crystal display is as shown in figure 11.
In addition to this, the core code of EEG signals front end acquisition module is as follows:
#codeforbuildinganLSTMwith100neuronsanddropout.Runsfor50epochs
Model=Sequential ()
Model.add (LSTM (100, return_sequences=False, input_shape=(time_st eps,
n_features)))
Wherein, each eeg signal is made of time_steps unit, and each unit is tieed up with n_features
Vector indicate.
Return_sequences: Boolean defaults False, controls return type.Entire sequence is then returned if True
Otherwise column are returned only to the last one output of output sequence
model.add(Dropout(0.5))
Model.add (Dense (1, activation='sigmoid'))
Model.compile (loss='binary_crossentropy',
Optimizer='rmsprop',
Metrics=[' accuracy'])
Model.fit (X_train, y_train, batch_size=16, epochs=50)
Score=model.evaluate (X_test, y_test, batch_size=16)
In addition to this, as shown in figure 14 using the brain wave analogous diagram of the system detection, initialization CS "=' 1 ', A0 first
"=' 1 ', RC "=' 1 ', LOCK "=' 0 '；Then starting conversion CS "=' 0 ', A0 "=' 0 ', RC "=' 0 '；Then keeping should
State is until " when=' 1 ', the data output converted reads change data after STS becomes low level from high level to RC.
In figure, the data 235 converted are sent to output end Q [11:0].
Showing with the multifunction nursing bed entirety of voice prompting when in use for the E.E.G control of the present embodiment, passes through brain electricity
Signal front end acquisition module can be acquired the received EEG signals of brain cap device 2, by single chip control module by mould
Quasi- signal is converted to digital signal, the digital signal of brain electricity can be sent to receiving end by wireless transport module, by aobvious
Show that receiving end single-chip microcontroller can be received eeg data and is transmitted to liquid crystal display by module to show, passes through feature extraction mould
Block can carry out feature extraction to the EEG signals received, can carry out phonetic representation to EEG signals by voice module.
Embodiment 3
It as the third embodiment of invention, is extracted for the ease of the feature to brain wave, the present invention staff's setting
Characteristic extracting module, as a kind of preferred embodiment, as shown in figure 5, characteristic extracting module includes autoregression model module, statistics
Characteristic extracting module, frequency-domain analysis module and feature verification module, autoregression model module are used to be joined using AR model
Number estimation, statistical nature extraction module are used to detect the dispersion degree of signal, frequency-domain analysis module analysis power spectrum, average function
Rate frequency and power spectral density ratio these characteristic values, feature verification module using K-W method of inspection to the characteristic value of extraction into
Performing check.
In the present embodiment, autoregression model method algorithm is calculated using AR model, if single channel EEG signals are by n sampled point
The active segment of x0 ... xn-1 forms, according to AR model, k-th of sampled value xk such as formula in signal:
In formula, ai is AR model coefficient, and p is the order of model, and ek is residual error white noise, carries out parameter Estimation to AR model
Method mainly have correlation method, improve covariance method and Burg algorithm etc., wherein Burg algorithm calculates simple, the spectrum matter of generation
It measures higher.
Further, statistical nature extraction algorithm such as formula:
Set EEG signals wherein as x (i), data length N, this feature is demonstrated by the intensity of signal；
EEG signals root-mean-square value algorithm such as formula:This feature embodies the discrete journey of signal
Degree.
Specifically, regarding EEG signals as random signal x (n), there are N point sample value and finite energy, it is carried out in Fu
Leaf transformation obtains XN (ej ω)；Then take again amplitude square and divided by N, the power spectrum P (ej ω) as x (n) is such as formula:
It can see the appearance of peak value from the power spectrum of EEG signals, and the amplitude of peak value two sides is successively decreased, it can be diligent
Power in rate spectrum in certain particular frequency range is divided by the power entirely composed, to obtain this characteristic value of power spectral density ratio
I ", such as formula:In formula, fmax indicates frequency when peak value occurs in power spectrum, and n indicates limit of integration；This
Outside, frequency of average power refers to the frequency of average power that EEG signals are calculated in frequency domain, can quantitatively portray brain telecommunications
The feature of number frequency spectrum, computational algorithm such as formula:
In addition, being tested to improve the accuracy of classification using characteristic value of the K-W method of inspection to extraction, K-W is examined
Such as formula:In formula, N is sample number, and m is sample class number, and R is each sample
The value of the average value of number, H is bigger, shows that the classification capacity of this feature is stronger.
Showing for the E.E.G control of the present embodiment is mentioned with the multifunction nursing bed feature in progress brain wave of voice prompting
When taking, parameter Estimation is carried out to AR model by autoregression model module, signal is able to detect by statistical nature extraction module
Dispersion degree, by frequency-domain analysis module can analyze power spectrum, frequency of average power and power spectral density ratio these
Characteristic value is tested by characteristic value of the feature verification module to extraction.
Embodiment 4
As the 4th kind of embodiment of invention, it is converted into voice for the ease of the feature to brain wave, the present invention staff sets
Voice module is set, as a kind of preferred embodiment, as shown in fig. 6, voice module includes speech recognition module, tone decoding module
And voice output module, the data that speech recognition module is used to analyze brain wave identify that tone decoding module is used for
Brain wave is decoded, and analyzes and identify corresponding voice, voice output module is for exporting voice messaging.
In the present embodiment, as shown in figure 15, voice module include 16 pins speech chip and one to voice module
The programmable device and upper computer software VioceChip, WT588D speech chip for carrying out voice downloading are WT588D speech chip, are
The voice singlechip chip of a repeatable erasing programming, mating WT588DVioceChip host computer operating software can arbitrarily more
Any control model for changing WT588D speech chip, information is downloaded on SPI-Flash, can control 220 languages
Sound address, each address bit can load 128 sections of voices of combination, support two kinds of way of outputs of DAC/PWM, and PWM output can be pushed away directly
Dynamic 0.5W/8 Ω loudspeaker, first will be prompted to voice and downloads on speech chip, connect road voice by the 6th pin of single-chip microcontroller
The third pin of chip, and PWM audio output mode is selected, and the third and fourth pin of speech chip is connected to loudspeaker.
Further, as shown in figure 16, WT588D speech chip is also connected with AT89S52 single-chip microcontroller, AT89S52 single-chip microcontroller
The 5th pin be P1.4 pin, P1.4 pin connect AT89S52 single-chip microcontroller RESET control reset signal, AT89S52 monolithic
6th pin of machine is P1.5 pin, and the 6th pin of AT89S52 single-chip microcontroller connects the third pin of WT588D speech chip, as
Data output end, selects PWM audio output mode, and the third and fourth pin of WT588D speech chip is connected to loudspeaker.
The showing for E.E.G control of the present embodiment is converted into the multifunction nursing bed feature to brain wave of voice prompting
When voice, identified by the data that speech recognition module analyzes brain wave, by tone decoding module to brain wave into
Row decoding, and analyze and identify corresponding voice, voice messaging can be exported by being output by voice module.
Embodiment 5
It as the 5th kind of embodiment of invention, is decoded for the ease of the feature to brain wave, the present invention staff's setting
Tone decoding module, as a kind of preferred embodiment, as shown in fig. 7, tone decoding module includes information identification module, voice mould
Pattern block and Language Modeling module, information identification module for identification when, by the same acoustic mode of speech characteristic parameter to be identified
Type is matched, and recognition result is obtained, and speech model module is used to calculate the probabilistic model of a sentence probability of occurrence, and language is built
Mould module is used to combine Chinese grammar and semantic knowledge, and the internal relation between descriptor, to improve discrimination, reduction is searched
Rope range.
The showing for E.E.G control of the present embodiment solves with the multifunction nursing bed feature to brain wave of voice prompting
When code, when by information identification module for identification, speech characteristic parameter to be identified is matched with acoustic model, is obtained
Recognition result is used to calculate the probabilistic model of a sentence probability of occurrence, passes through Language Modeling module by speech model module
For combining Chinese grammar and semantic knowledge, the internal relation between descriptor reduces search model to improve discrimination
It encloses.
Showing for E.E.G control is as follows with the multifunction nursing bed operating procedure when in use of voice prompting:
S1: patient lies low on nursing bed ontology 1 first, and operator drives the first winding roll by shaking crank 148
The connector 145 of 142 sides rotates, and is located at the connector 145 of 143 side of the second winding roll under the drive of conveyer belt 147
It is rotated, the spool 144 in the first winding roll 142 and the second winding roll 143 can will be drawn as crank rotates at this time
Rope 13 is recovered on spool 144, and pulls mattress 11 by connection cloth 12, and then realize the turn work of patient；
S2: the received EEG signals of brain cap device 2 can be acquired by EEG signals front end acquisition module；
S3: digital signal is converted analog signals by single chip control module；
S4: the digital signal of brain electricity can be sent to by receiving end by wireless transport module；
S5: it receiving end single-chip microcontroller can be received by display module by eeg data is transmitted to liquid crystal display and show
Show；
S6: feature extraction can be carried out to the EEG signals received by characteristic extracting module；
S7: phonetic representation can be carried out to EEG signals by voice module.
The basic principles, main features and advantages of the present invention have been shown and described above.The technology of the industry
For personnel it should be appreciated that the present invention is not limited to the above embodiments, described in the above embodiment and specification is only the present invention
Preference, be not intended to limit the invention, without departing from the spirit and scope of the present invention, the present invention also has various
Changes and improvements, these changes and improvements all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by institute
Attached claims and its equivalent thereof.
Claims (9)
1. a kind of showing for E.E.G control is multifunction nursing bed with voice prompting, including the nursing bed ontology treated for patient
(1), the brain cap device (2) of patients head and the analytical equipment (3) for analyzing brain wave are worn on, it is characterised in that:
The nursing bed ontology (1) includes the mattress (11) being arranged at the top of the nursing bed ontology (1), the back side of the mattress (11)
It is provided with one end connection cloth (12), the other end of connection cloth (12) is provided with traction rope (13), the nursing bed ontology (1)
Edge of bed one end be equipped with wrap-up (14), the wrap-up (14) includes a pair of of the fixture (141) being clamped on edge of bed,
One of them described fixture (141) back side is equipped with the first winding roll (142), another described fixture (141) back side is equipped with
The inside of second winding roll (143), first winding roll (142) and second winding roll (143) is mounted on spool
(144), the outer wall of first winding roll (142) and second winding roll (143) is provided with connector (145), described
The inside of connector (145) opens up fluted (146), is provided with conveyer belt (147) between two grooves (146), close
The connector (145) outer wall of first winding roll (142) side is equipped with crank (148).
2. showing for E.E.G control according to claim 1 is multifunction nursing bed with voice prompting, it is characterised in that: institute
The one end and mattress (11) for stating connection cloth (12) are sutured by needlework to be fixed, the other end of connection cloth (12) and the traction
(13) suture of restricting is fixed.
3. showing for E.E.G control according to claim 1 is multifunction nursing bed with voice prompting, it is characterised in that: institute
The other end ring-wound of traction rope (13) is stated in the spool (144) outer wall.
4. showing for E.E.G control according to claim 1 is multifunction nursing bed with voice prompting, it is characterised in that: institute
It states crank (148) and the connector (145) is welded and fixed.
5. showing for E.E.G control according to claim 1 is multifunction nursing bed with voice prompting, it is characterised in that: institute
Stating analytical equipment (3) includes EEG signals front end acquisition module, single chip control module, wireless transport module, display module, spy
Levy extraction module and voice module；
The EEG signals front end acquisition module is for being acquired brain cap device (2) received EEG signals；
The single chip control module is for converting analog signals into digital signal；
The wireless transport module is used to the digital signal of brain electricity being sent to receiving end；
The display module, which is used to receiving end single-chip microcontroller receiving eeg data, to be transmitted to liquid crystal display and shows；
The characteristic extracting module is used to carry out feature extraction to the EEG signals received；
The voice module is used to carry out phonetic representation to EEG signals.
6. showing for E.E.G control according to claim 5 is multifunction nursing bed with voice prompting, it is characterised in that: institute
Stating characteristic extracting module includes autoregression model module, statistical nature extraction module, frequency-domain analysis module and inspection by attributes mould
Block；
The autoregression model module is used to carry out parameter Estimation using AR model；
The statistical nature extraction module is used to detect the dispersion degree of signal；
Frequency-domain analysis module analysis power spectrum, frequency of average power and power spectral density ratio these characteristic values；
The feature verification module tests to the characteristic value of extraction using K-W method of inspection.
7. showing for E.E.G control according to claim 5 is multifunction nursing bed with voice prompting, it is characterised in that: institute
Stating voice module includes speech recognition module, tone decoding module and voice output module；
The data that the speech recognition module is used to analyze brain wave identify；
Corresponding voice is analyzed and identified to the tone decoding module for being decoded to brain wave；
The voice output module is for exporting voice messaging.
8. showing for E.E.G control according to claim 7 is multifunction nursing bed with voice prompting, it is characterised in that: institute
Predicate sound decoder module includes information identification module, speech model module and Language Modeling module；
The information identification module for identification when, speech characteristic parameter to be identified is matched with acoustic model, is obtained
Recognition result；
The speech model module is used to calculate the probabilistic model of a sentence probability of occurrence；
The Language Modeling module is used to combine Chinese grammar and semantic knowledge, the internal relation between descriptor, to propose
High discrimination reduces search range.
9. showing for E.E.G control according to any one of claims 1 to 8 is multifunction nursing bed with voice prompting,
Be characterized in that: operating procedure is as follows:
S1: patient lies low on nursing bed ontology (1) first, and operator drives the first winding roll by shaking crank (148)
(142) connector (145) rotation of side, and it is located at the connector (145) of the second winding roll (143) side in conveyer belt
(147) rotated under drive, at this time the spool (144) in the first winding roll (142) and the second winding roll (143) with
Traction rope (13) can be recovered on spool (144) by crank rotation, and pull mattress (11) by connection cloth (12), in turn
Realize the turn work of patient；
S2: the received EEG signals of brain cap device 2 can be acquired by EEG signals front end acquisition module；
S3: digital signal is converted analog signals by single chip control module；
S4: the digital signal of brain electricity can be sent to by receiving end by wireless transport module；
S5: it receiving end single-chip microcontroller can be received by display module by eeg data is transmitted to liquid crystal display and show；
S6: feature extraction can be carried out to the EEG signals received by characteristic extracting module；
S7: phonetic representation can be carried out to EEG signals by voice module.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ES2950779R1 (en) * | 2020-10-18 | 2024-02-28 | Liberdade De Movimentos Unipessoal Lda | Wheelchair/stretcher |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1113739A (en) * | 1994-06-23 | 1995-12-27 | 王湘生 | Function testing system for vegetative nervous system and its method |
| CN101551947A (en) * | 2008-06-11 | 2009-10-07 | 俞凯 | Computer system for assisting spoken language learning |
| CN105769470A (en) * | 2016-04-07 | 2016-07-20 | 丁玉兰 | Nursing bed capable of turning over patient completely |
| CN106725458A (en) * | 2016-12-31 | 2017-05-31 | 深圳市达实智控科技股份有限公司 | One kind is detected based on brain wave and notifies system |
| CN107440848A (en) * | 2017-08-03 | 2017-12-08 | 宁波市智能制造产业研究院 | Medical bed transport control system based on idea |
| CN107802263A (en) * | 2016-09-08 | 2018-03-16 | 候俊英 | A kind of wearable sound feedback system based on Electroencephalo signal |
| CN107818785A (en) * | 2017-09-26 | 2018-03-20 | 平安普惠企业管理有限公司 | A kind of method and terminal device that information is extracted from multimedia file |
-
2018
- 2018-10-19 CN CN201811219750.2A patent/CN109394442A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1113739A (en) * | 1994-06-23 | 1995-12-27 | 王湘生 | Function testing system for vegetative nervous system and its method |
| CN101551947A (en) * | 2008-06-11 | 2009-10-07 | 俞凯 | Computer system for assisting spoken language learning |
| CN105769470A (en) * | 2016-04-07 | 2016-07-20 | 丁玉兰 | Nursing bed capable of turning over patient completely |
| CN107802263A (en) * | 2016-09-08 | 2018-03-16 | 候俊英 | A kind of wearable sound feedback system based on Electroencephalo signal |
| CN106725458A (en) * | 2016-12-31 | 2017-05-31 | 深圳市达实智控科技股份有限公司 | One kind is detected based on brain wave and notifies system |
| CN107440848A (en) * | 2017-08-03 | 2017-12-08 | 宁波市智能制造产业研究院 | Medical bed transport control system based on idea |
| CN107818785A (en) * | 2017-09-26 | 2018-03-20 | 平安普惠企业管理有限公司 | A kind of method and terminal device that information is extracted from multimedia file |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ES2950779R1 (en) * | 2020-10-18 | 2024-02-28 | Liberdade De Movimentos Unipessoal Lda | Wheelchair/stretcher |
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