CN108355246A - Optimal closed loop DBS treatment systems based on phase response curve - Google Patents
Optimal closed loop DBS treatment systems based on phase response curve Download PDFInfo
- Publication number
- CN108355246A CN108355246A CN201810288280.9A CN201810288280A CN108355246A CN 108355246 A CN108355246 A CN 108355246A CN 201810288280 A CN201810288280 A CN 201810288280A CN 108355246 A CN108355246 A CN 108355246A
- Authority
- CN
- China
- Prior art keywords
- electrode
- phase
- response curve
- digital
- phase response
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/02—Details
- A61N1/04—Electrodes
- A61N1/05—Electrodes for implantation or insertion into the body, e.g. heart electrode
- A61N1/0526—Head electrodes
- A61N1/0529—Electrodes for brain stimulation
- A61N1/0534—Electrodes for deep brain stimulation
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6846—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive
- A61B5/6867—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be brought in contact with an internal body part, i.e. invasive specially adapted to be attached or implanted in a specific body part
- A61B5/6868—Brain
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/3605—Implantable neurostimulators for stimulating central or peripheral nerve system
- A61N1/3606—Implantable neurostimulators for stimulating central or peripheral nerve system adapted for a particular treatment
- A61N1/36067—Movement disorders, e.g. tremor or Parkinson disease
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/3605—Implantable neurostimulators for stimulating central or peripheral nerve system
- A61N1/36128—Control systems
- A61N1/36135—Control systems using physiological parameters
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Neurology (AREA)
- Heart & Thoracic Surgery (AREA)
- Neurosurgery (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Surgery (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Psychology (AREA)
- Physiology (AREA)
- Hospice & Palliative Care (AREA)
- Cardiology (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Electrotherapy Devices (AREA)
Abstract
The present invention provides a kind of optimal closed loop DBS treatment systems based on phase response curve, including two-way multi-electrode neural interface, local field potential detection, data processing host computer, boost pulse generate.Two-way multi-electrode neural interface records nerve signal while stimulation.Local field potential detection is made of preamplifier, filter, analog-digital converter, and the microvolt grade signal at electrode is amplified and filtered, and is converted into digital quantity and is passed to host computer.Data processing host computer uses matlab, reconstructs the phase response curve and instantaneous phase of neuron, when instantaneous phase falls within the phase sensitive section of phase response curve, issues instructions to pulse generating portion.Pulse generating portion is made of embedded microprocessor, digital analog converter, multiplexer, and the pulse that microprocessor generates is transmitted to stimulating electrode by digital-to-analogue conversion by multiplexer.Advantageous effect is that the system builds closed loop DBS according to the phase response curve of neuron, and applying in phase sensitive section stimulates, and obtains the DBS of energetic optimum.
Description
Technical field
The present invention relates to biomedical engineering technology, especially a kind of optimal closed loop DBS treatments based on phase response curve
System.
Background technology
Deep brain stimulation DBS is a kind of very effective surgical means for treating Parkinson's disease, it is using the electrode being implanted into
The electric pulse stimulation cerebral basal ganglia position for exporting high frequency, can significantly improve the dyskinesia of Parkinson's disease.However, current
DBS treatments are a kind of patterns of open loop, and in a treatment cycle, DBS equipment continuously exports high frequency high-amplitude electric pulse
Substrate core region is stimulated, real-time parameter adjustment cannot be made according to disease treatment state.Accordingly, it is possible to cause excessive thorn
Swash, generate side effect and the risk for the treatment of, for example, overstimulation can cause to damage to nerve fiber, to influence to recognize and remember
Recall function.Meanwhile overstimulation can accelerate the battery loss of implanted equipment, and then need to perform the operation and replace battery, increase volume
Outer operation risk.
Many experiments are with theoretical studies have shown that the therapeutic modality of closed loop DBS can increase the validity of DBS, reduction treatment
Side effect and risk.For example, have experimental studies have found that treatment primate Parkinson's disease in, according to the skin detected
The stimulation of range upon range of mountains electric discharge triggering basal nuclei is more more effective than traditional open loop stimulation.Also some experiments are found according to the office detected
The amplitude construction closed loop DBS for the beta oscillations that portion potential filters out can effectively reduce the energy consumption of DBS.However, although closed loop DBS
Validity obtained experiment and theoretical verification, but since the therapy mechanism of DBS is not yet fully apparent from, DBS optimal at present
Pattern still can not determine.
From the angle of energy consumption, an optimal closed loop DBS system is constructed, one is to need to find energy accurate response patient's disease
The biological identification of diseased state, the other is being applied in particular moment by control technology stimulates, to reach real with minimum energy consumption
Existing maximum therapeutic effect.More and more experimental studies show that the pathologic synchronized oscillation of substrate core region is Parkinson's disease
Electrophysiological characteristics, one of therapy mechanism of DBS may be by the pathologic synchronized oscillation that electro photoluminescence removes the region.Another party
Face, the phase response curve of neuron are the build-in attributes of neuron, can describe outside stimulus and be applied to one action electricity of neuron
When different moments in bit period, to the impact effect of the next discharging time of neuron.And the peak value description of phase response curve
Be exactly that can farthest influence next discharging time of neuron when outside stimulus is when applying the period（Postpone or
In advance）.This section of phase section is known as phase sensitivity sensillary area by us, then for synchronous neuroid, if in neuron
Phase sensitivity sensillary area apply outside stimulus, maximum network can be obtained with minimum cost and be desynchronized effect.Therefore, according to neuron
This inherent feature, we have proposed an optimal closed loop DBS treatment system based on neuron phase response curve, by
The phase sensitive section of neuron applies stimulation, and optimal network can be obtained with minimum cost and is desynchronized effect, is greatly reduced
The energy consumption of DBS.
Invention content
For above-mentioned problem to be solved, the object of the present invention is to provide a kind of optimal closed loops based on phase response curve
DBS treatment systems allow experimenter to control the application moment of DBS according to the phase response curve feature of neuron, can subtract
Few DBS energy consumptions, the clinical application for intelligence DBS provide important theoretical foundation.
To achieve the above object, the technical solution adopted by the present invention is to provide a kind of optimal closed loop based on phase response curve
DBS treatment systems, wherein：The system includes two-way multi-electrode neural interface, preamplifier, filter, analog-digital converter, number
According to processing host computer, embedded microprocessor, digital analog converter, multiplexer.Two-way multi-electrode neural interface can stimulate
Nerve fiber, and the nerve signal near stimulating electrode can be recorded, the microvolt grade signal that preamplifier can acquire electrode
Amplification makes it be separated with stimulus signal, and the nerve signal of amplification can be carried out rectification and filtering by filter, obtained and it is expected frequency
Filtered signal is converted into digital transfer and is further counted to host computer by the oscillator signal of rate band, analog-digital converter
According to analysis and processing, host computer analyzes data using matlab softwares, the particular moment for applying stimulation is determined, at this
It carves and control instruction is sent to embedded microprocessor, embedded microprocessor generates specific boost pulse, is turned by digital-to-analogue
Pulse signal is transferred directly to stimulating electrode by parallel operation and multiplexer.
Optimal closed loop DBS effects are realized the beneficial effects of the invention are as follows the treatment system, in the specific phase of neuron
Position applies stimulation, can realize that the energy consumption with minimum reaches maximum network and desynchronizes effect, compared with traditional DBS therapies, energy
The energy consumption for greatly reducing DBS reduces side effect and the risk for the treatment of.The design is proposed based on the optimal of phase response curve
Closed loop DBS treatment systems, it is advantageous that the following：1. using two-way multiple electrode array neural interface, god can be realized simultaneously
The record of stimulation and nerve information through tissue contributes to disclose DBS treatments according to the variation of nerve signal caused by stimulation
Inherent mechanism.2. compared with traditional open loop DBS treatments, closed loop DBS is constructed according to the nerve signal of record, can be realized according to disease
The parameter for managing the variation adjustment DBS of zone state, contributes to the treatment for optimizing DBS.3. according to the phase response curve feature of neuron
Apply DBS stimulations in its particular phases, can realize that the energy consumption with minimum reaches maximum network and desynchronizes effect, can greatly subtract
Few DBS energy consumptions.
Description of the drawings
Fig. 1 is the principle schematic that the phase response curve of the present invention defines；
Fig. 2 is the structural schematic diagram of the optimal closed loop DBS treatment systems of the present invention；
Fig. 3 is the concrete structure diagram of the optimal closed loop DBS treatment systems of the present invention；
Fig. 4 is that the data processing host computer of the present invention handles the principle schematic of data；
Fig. 5 is the principle schematic in the application stimulation of neuron phase sensitive section of the present invention
In figure：
1. 3. data processing host computer of two-way 2. local field potential detector of multi-electrode neural interface, 4. pulse generation device
5. stimulating multiple electrode array 6. to record multiple electrode array 7. records 8. preamplifier of multiple electrode array, 9. filter 10.
11. embedded microprocessor of analog-digital converter, 12. digital analog converter, 13. multiplexer.
Specific implementation mode
The structure of the optimal closed loop DBS treatment systems based on phase response curve of the present invention is done into one below in conjunction with the accompanying drawings
Step description.
The optimal closed loop DBS treatment systems based on phase response curve of the present invention include two-way multi-electrode neural interface 1, office
Portion potential detector 2, data processing host computer 3 and pulse generation device 4.Two-way multi-electrode neural interface can stimulate simultaneously
Nerve fiber and the variation for recording nerve signal nearby, the local field that local field potential detector 2 acquires multiple electrode array
Potential is amplified, filters and analog-to-digital conversion, is transformed into the digital quantity with beta waveforms, it is upper to be transferred to data processing
Machine 3 carries out further data analysis and processing.Data processing host computer calculates the instantaneous phase of neuron using algorithm, lays equal stress on
Its phase response curve of structure sends out control instruction to pulse when the instantaneous phase of neuron is equal to the phase in its phase sensitive section
4. pulse generation device of generating means generates the pulse for specifying waveform according to instruction, and straight by digital-to-analogue conversion and multiplexer
It connects and is transferred to stimulation multiple electrode array, realize optimal closed loop DBS stimulations.
The Definition Principle of phase response curve is as shown in Figure 1, phase response curve (PRC) describes outside stimulus and is applied to god
Through member a discharge cycle in any time when, the influence to the next discharging time of neuron describes external thorn
The sharp application moment（Phase）With the relationship between neuron phase shift after stimulation.As shown in Fig. 2, the present invention based on mutually ringing
Answering the structure of the optimal closed loop DBS treatment systems of curve is, which has two-way multi-electrode neural interface 1, the inspection of local field potential
Survey 2, data processing host computer 3, pulse generation device 4.
The two-way multiple electrode array neural interface 1：As shown in figure 4, two-way multiple electrode array neural interface is by more than 3
Electrod-array forms, and can realize the record of nerve stimulation and nerve signal simultaneously, wherein 1 is responsible for applying and be stimulated, in addition 2
A real-time acquisition nerve signal, and by the microvolt grade local field potential data transmission of acquisition to local field potential detector 2.
The local field potential detector 2：The microvolt grade acquired at electrode is believed by high-gain preamplifier 8
Number amplification (100-1000 times), rectification and filtering, the oscillation of the acquisition beta rhythm and pace of moving things are carried out using filter 9 by local field potential
Then wave is digitized oscillation wave by analog-digital converter 10, data processing host computer 3 is sent to.
The data processing host computer 3：As shown in figure 4, being divided local field potential data using matlab softwares
Analysis and processing use Hilbert transform to calculate the instantaneous phase of neuron from filtered local field potential first.For
The phase response curve of reconstruct neuron, as shown in figure 4, since pathological area neuron be in synchronized oscillation state, it is ill
The local field electric potential signal acquired at lower two arrays of electrodes is considered as being synchronised.Two groups of oscillation waves can be equivalent to two mutually
Oscillation being coupled, two groups of oscillation overabundance of amniotic fluids being mutually coupled following relationship enough：
WhereinIndicate the phase of oscillation,Indicate that the autonomous frequency of oscillation, F indicate the coupling function between oscillation, energy
Correlation between description oscillation, if the input for being coupled as another oscillation of one of oscillation,
The phase response curve of neuron can be gone out according to the feature reconstruction of the correlation F between them.Due to being become using Hilbert
Change calculated instantaneous phaseIt is not equally distributed, therefore, it is also desirable to which doing following phase inversion will extract from experimental data
Instantaneous phaseIt is changed into the phase of oscillation：
Wherein,Indicate the discrete data in local field potential time series
Number.Phase inversion obtainsValue after, so that it may to estimate coupling function F using fourier series, to be gone out according to F feature reconstructions
The phase response curve of neuron, formula are as follows：
Wherein, coefficient, n, m indicate that two are mutually coupled and shake respectively
The phase drop lock of vagrant；
After the phase response curve for estimating neuron, host computer works as the phase of neuron using algorithm comparisonIt falls within such as Fig. 5 shades
When phase sensitive section shown in part, sends out control instruction to pulse generating device 4 and generate boost pulse.
The pulse generating device 4：As shown in figure 3, programming, which is realized to be generated by embedded microprocessor 11, specifies waveform
Pulse train, be changed into analog quantity by digital analog converter 12, then directly transmit boost pulse by multiplexer 13
Applying to stimulating electrode 5 stimulates.
The optimal closed loop DBS treatment systems structure innovation point based on phase response curve of the present invention is, according to neuron
The feature of inherent characteristic phase response curve determine the application moment of DBS, realize optimal closed loop DBS effects, can be greatly
Reduce the energy consumption of DBS in ground.Advantage is：1. the present invention uses two-way multiple electrode array neural interface, nerve simultaneously can be realized
Stimulation and nerve signal record, the nerve signal of the stimulating electrode neighborhood recorded in real time, contribute to the inherent machine for disclosing DBS treatments
System, while also adequate condition is provided for construction closed loop DBS.2. closed loop DBS treatment modes are constructed according to the nerve signal of record,
The stimulus modality of DBS, the effect of DBS can be improved can be adjusted according to disease treatment state.3. according to the phase response curve of neuron
Build-in attribute, in the specific phase section of neuron（Phase sensitive section）Apply DBS stimulations, can be realized with minimum pulse maximum
Network desynchronize effect, considerably reduce the energy consumption of DBS.
Example the above is only the implementation of the present invention not does any restrictions to the technical scope of the present invention, therefore every profit
Any trickle amendment for being made of description of the invention and attached drawing, equivalency transform are included in the scope of patent protection of the present invention
It is interior.
Claims (5)
1. a kind of optimal closed loop DBS treatment systems based on phase response curve, it is characterized in that：The system includes two-way multi-electrode
Neural interface device（1）, local field potential detector（2）, data processing host computer（3）, pulse generation device（4）；
The two-way multi-electrode neural interface device（1）Including 1 stimulating electrode（5）, 2 recording electrodes（6）、（7）；It can
Pass through stimulating electrode（5）Apply stimulation, and the recording electrode near stimulating electrode can be collected in real time（6）、（7）The nerve letter at place
Number；
The local field potential detector（2）Including high-gain preamplifier（8）, bandpass filter（9）, analog-to-digital conversion
Device（10）；The high-gain preamplifier（8）With recording electrode（6）、（7）Connection, by the microvolt grade electrode signal of acquisition
Amplification makes it be distinguished with neighbouring stimulus signal, passes through filter（9）And analog-digital converter（10）By the local field electricity of amplification
Gesture signal carries out rectification and filtering, and is converted into digital quantity；
The data processing host computer（3）Acquisition local field potential data in real time, and using matlab softwares to local field electricity
Gesture data carry out power spectrumanalysis, calculate the instantaneous phase of neuron, and reconstruct the intensive phase response curve through member, if meter
The neuron instantaneous phase of calculating falls within the phase sensitivity sensillary area of phase response curve, then sends out the control instruction for generating pulse；
The pulse generation device（4）Including embedded microprocessor（11）, digital analog converter（12）, multiplexer
（13）；The embedded microprocessor（11）The control instruction for receiving host computer, then generate impulse waveform, is turned by digital-to-analogue
Parallel operation（12）Analog signal is converted digital signals into, and passes through multiplexer（13）Pulse signal is directly transferred to stimulation
Electrode.
2. the optimal closed loop DBS treatment systems according to claim 1 based on phase response curve, it is characterized in that：Described
Two-way multi-electrode neural interface device（1）：Nerve fiber and record nerve can be realized while stimulated by multiple multiple electrode arrays
Signal；Two-way multi-electrode neural interface device（1）Including stimulating electrode（5）, local field potential recording electrode（6）、（7）；Stimulation
Electrode（5）It is responsible for applying impulse stimulation, recording electrode（6）、（7）The local field electric potential signal of acquisition neuron in real time.
3. the optimal closed loop DBS treatment systems according to claim 1 based on phase response curve, it is characterized in that：Described
Local field potential detector（2）：The microvolt grade nerve signal of acquisition can be amplified, filtering and analog-to-digital conversion are passed to
Host computer carries out data analysis；Local field potential detector（2）Include mainly three parts：High-gain preamplifier（8）、
Bandpass filter（9）, analog-digital converter（10）；High-gain preamplifier（8）（Amplification factor 100-1000）By recording electrode
（6）、（7）Two groups of nerve signals of place's acquisition amplify respectively, bandpass filter（9）Amplified signal is subjected to rolling average filter
Wave obtains beta frequency bands（3Hz-37Hz）Local field potential data, which is passed through into analog-digital converter（10）It is converted into counting
Word amount is passed to host computer and carries out next step data processing.
4. the optimal closed loop DBS treatment systems according to claim 1 based on phase response curve, it is characterized in that：Described
Data processing host computer（3）：Host computer carries out incoming local field potential digital quantity using matlab softwares real in an experiment
When analysis and processing, the instantaneous phase of neuron is calculated using algorithm and reconstructs its phase response curve, and judge when nerve
When the instantaneous phase of member falls within the phase sensitive section in its phase response curve, control instruction is sent out to pulse generating system, is generated
Stimulation pulse signal.
5. the optimal closed loop DBS treatment systems according to claim 1 based on phase response curve, it is characterized in that：Described
Pulse generating device（4）：After receiving the control instruction that host computer is sent out, the symmetrical impulse wave of two-phase of charge balance can be generated
Shape, and pulse signal is transferred directly to by stimulating electrode by digital analog converter and multiplexer；Pulse generating device（4）It is main
To include three parts：Embedded microprocessor（11）, digital analog converter（12）, multiplexer（13）；Embedded microprocessor
Device（11）By being connect with host computer, after receiving control instruction, the symmetrical pulse of charge balance two-phase met the requirements is generated
Waveform；Digital analog converter（12）Pulse signal is converted into analog quantity, and passes through multiplexer（13）Signal is directly transmitted
To stimulating electrode（5）.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810288280.9A CN108355246A (en) | 2018-04-03 | 2018-04-03 | Optimal closed loop DBS treatment systems based on phase response curve |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810288280.9A CN108355246A (en) | 2018-04-03 | 2018-04-03 | Optimal closed loop DBS treatment systems based on phase response curve |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108355246A true CN108355246A (en) | 2018-08-03 |
Family
ID=63001723
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810288280.9A Pending CN108355246A (en) | 2018-04-03 | 2018-04-03 | Optimal closed loop DBS treatment systems based on phase response curve |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108355246A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110444270A (en) * | 2019-08-01 | 2019-11-12 | 重庆邮电大学 | A kind of closed loop DBS control method based on RBF neural |
| CN110664401A (en) * | 2019-09-27 | 2020-01-10 | 天津大学 | Noise depth brain stimulation system for Parkinson state |
| CN111768836A (en) * | 2020-07-06 | 2020-10-13 | 天津大学 | DBS closed-loop learning method in Parkinson state based on generalized generation countermeasure network |
| CN113282009A (en) * | 2021-05-20 | 2021-08-20 | 天津大学 | Hardware-in-loop test system for Parkinson closed-loop nerve regulation and control |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014052854A2 (en) * | 2012-09-28 | 2014-04-03 | The Regents Of The University Of California | Chaotic desynchronization of neural populations with non-pulsatile inputs |
| CN104225790A (en) * | 2014-09-19 | 2014-12-24 | 清华大学 | Closed loop nerve stimulation system |
| CN105286848A (en) * | 2015-11-06 | 2016-02-03 | 天津大学 | Neuron phase response characteristic measuring system based on discharge rate clamp closed loop |
| US20170128729A1 (en) * | 2015-11-06 | 2017-05-11 | Regents Of The University Of Minnesota | Systems and methods for tuning closed-loop phasic burst stimulation based on a phase response curve |
-
2018
- 2018-04-03 CN CN201810288280.9A patent/CN108355246A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014052854A2 (en) * | 2012-09-28 | 2014-04-03 | The Regents Of The University Of California | Chaotic desynchronization of neural populations with non-pulsatile inputs |
| CN104225790A (en) * | 2014-09-19 | 2014-12-24 | 清华大学 | Closed loop nerve stimulation system |
| CN105286848A (en) * | 2015-11-06 | 2016-02-03 | 天津大学 | Neuron phase response characteristic measuring system based on discharge rate clamp closed loop |
| US20170128729A1 (en) * | 2015-11-06 | 2017-05-11 | Regents Of The University Of Minnesota | Systems and methods for tuning closed-loop phasic burst stimulation based on a phase response curve |
Non-Patent Citations (1)
| Title |
|---|
| 卢梅丽: "基于相响应的神经元网络同步的优化控制", 《中国优秀博士学位论文全文数据库》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110444270A (en) * | 2019-08-01 | 2019-11-12 | 重庆邮电大学 | A kind of closed loop DBS control method based on RBF neural |
| CN110664401A (en) * | 2019-09-27 | 2020-01-10 | 天津大学 | Noise depth brain stimulation system for Parkinson state |
| CN111768836A (en) * | 2020-07-06 | 2020-10-13 | 天津大学 | DBS closed-loop learning method in Parkinson state based on generalized generation countermeasure network |
| CN111768836B (en) * | 2020-07-06 | 2023-11-24 | 天津大学 | DBS closed-loop learning method based on generalized generation countermeasure network in Parkinson's state |
| CN113282009A (en) * | 2021-05-20 | 2021-08-20 | 天津大学 | Hardware-in-loop test system for Parkinson closed-loop nerve regulation and control |
| CN113282009B (en) * | 2021-05-20 | 2022-07-01 | 天津大学 | Hardware-in-loop test system for Parkinson closed-loop nerve regulation and control |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108355246A (en) | Optimal closed loop DBS treatment systems based on phase response curve | |
| US10529450B2 (en) | Real-time phase detection of frequency band | |
| CN107613860B (en) | Cranial nerve activity monitoring | |
| US8165668B2 (en) | Method for magnetic modulation of neural conduction | |
| US8170658B2 (en) | System for electrical modulation of neural conduction | |
| US8195287B2 (en) | Method for electrical modulation of neural conduction | |
| CN106999088B (en) | System and method for monitoring muscle rehabilitation | |
| JP4926072B2 (en) | Method and apparatus for desynchronizing cranial nerve activity, controller, and method for treating neurological and / or psychiatric disorders | |
| CN100496392C (en) | Nerve feedback treating device for insomnia | |
| US8583239B2 (en) | Implantable system enabling responsive therapy for pain | |
| CN101259302B (en) | Intelligent cranial nuclei electric stimulation system | |
| WO2017053504A1 (en) | Systems and methods for monitoring autonomic health | |
| CN107073217A (en) | System and method for delivering vagus nerve therapy | |
| CN104768449A (en) | Device and method for examining a phase distribution used to determine a pathological interaction between different areas of the brain | |
| US8165669B2 (en) | System for magnetic modulation of neural conduction | |
| JP2023058539A (en) | spinal cord stimulator | |
| CN103893915A (en) | Biological self-feedback sleep monitoring magnetic therapy apparatus | |
| WO2009039724A1 (en) | Biological information needle therapeutic equipment for an acupuncture treatment. | |
| CN103919549A (en) | Dysphagia feedback therapy device and apparatus | |
| CN101505828B (en) | Intermittent high-energy cardiac stimulation for therapeutic effect | |
| US11589827B2 (en) | Nerve activity monitoring | |
| CN107260169A (en) | Neural stem cell electric current real-time monitoring device and monitoring method based on magnetosonic coupling effect | |
| CN106964069A (en) | A kind of microcirculation repair system with biofeedback function | |
| McDermott et al. | Feedback control for deep brain stimulation for motor disorders | |
| CN110478631A (en) | A kind of apparatus for ultrasonic therapeutic treatment, method and data processing equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180803 |
|
| WD01 | Invention patent application deemed withdrawn after publication |