Apparatus for Stimulating Open-Loop Electrical for Intracerebral Sensing Stimulation

Abstract

An open-loop electrical stimulation device for intrabrain sensing stimulation detects specific intrabrain signals signifying the onset of symptoms of brain disease, and then uses these signals as triggers to deliver appropriate electrical stimulation, thereby enabling an immediate response to the manifested symptoms. The present invention develops open-loop system-based software that performs electrical stimulation according to specific signals generated within the brain for efficient treatment of deep brain stimulation, and can provide a technology capable of treating manifested symptoms in real time.

Description

Technology Field

[0001] The present invention relates to an electrical stimulation device, and more specifically, to an open-loop electrical stimulation device for brain detection stimulation capable of immediately responding to manifested symptoms by detecting a specific signal within the brain indicating the manifestation of symptoms of a brain disease and then using this as a trigger signal to deliver appropriate electrical stimulation. Background Technology

[0002] High-frequency deep brain stimulation (DBS) targeting the subthalamic nucleus (STN) is a widely used surgical treatment for idiopathic Parkinson's disease and has been known to improve clinical symptoms such as tremor, rigidity, bradykinesia, and gait disturbance.

[0003] As the neuropathic relief effects and safety of deep brain stimulation (DBS) for neuromodulation have been proven as an alternative to drug treatment for degenerative brain diseases such as Parkinson's disease and chronic pain, neuromodulation therapies using electrical stimulation have been clinically adopted.

[0004] Clinical improvement without major neurological impairment has been confirmed in large-scale and long-term follow-up studies on patients with Parkinson's disease.

[0005] The most commonly performed surgical treatment for neurodegenerative brain diseases such as Parkinson's disease is deep brain stimulation, which can improve symptoms by inserting electrodes into specific areas of the brain to continuously deliver micro-electrical stimulation.

[0006] Deep brain stimulation currently being performed clinically is conducted after the patient visits the hospital following the onset of symptoms, making immediate response to the manifested symptoms impossible.

[0007] The method of implanting a stimulator deep into the brain to deliver continuous micro-electrical stimulation had the problem of increased neurological fatigue because it did not reflect the patient's current condition and only delivered continuous electrical stimulation. Prior art literature

[0008] Korean Patent Application No. 10-2017-0123419 The problem to be solved

[0009] To solve such problems, the present invention aims to provide an open-loop electrical stimulation device for brain detection stimulation capable of immediately responding to manifested symptoms by detecting a specific brain signal indicating the manifestation of symptoms of a brain disease and delivering appropriate electrical stimulation using this as a trigger signal.

[0010] The purpose of the present invention is to provide an open-loop electrical stimulation device for intrabrain sensing stimulation that records and analyzes the patterns of neural signals generated deep within the brain in real time to determine the timing of stimulation and delivers the correct type of stimulation to a target area. means of solving the problem

[0011] An open-loop electrical stimulation device for intrabrain sensing stimulation according to the features of the present invention for achieving the above objective is,

[0012] A brainwave signal detection unit that receives electrophysiological signals generated in specific parts of the brain from microelectrodes inserted deep into the brain;

[0013] An amplification unit that amplifies the electrophysiological signal received from the above-mentioned brainwave signal detection unit to a certain magnitude;

[0014] A filtering unit that obtains electrophysiological information contained in each band by filtering the amplified electrophysiological signal using a Fast Fourier Transform into a Local Field Potential (LFP) in the 0.1Hz to 300Hz band and a Single Unit Potential (SUP) in the 300Hz to 3000Hz band; and

[0015] It includes a signal analysis unit that analyzes the acquired electrophysiological information to determine a brain-specific signal corresponding to a specific disease, determines the brain-specific signal as a trigger signal to generate an electrical stimulation signal, and transmits it to the specific brain region.

[0016] Specific areas of the brain may become activated or show abnormal tendencies depending on the specific disease.

[0017] The filtering unit further filters and classifies the above LFP according to frequency ranges of brain waves in the delta band (0.1 Hz to 4 Hz), theta band (4 Hz to 8 Hz), alpha band (8 Hz to 12 Hz), beta band (12 Hz to 28 Hz), and gamma band (30 Hz to 100 Hz), and the signal change pattern for each band may appear differently depending on the specific disease. Effects of the invention

[0018] By the above-described configuration, the present invention can develop open-loop system-based software that performs electrical stimulation according to specific signals generated inside the brain for efficient treatment of deep brain stimulation, and can provide a technology capable of treating manifested symptoms in real time.

[0019] The present invention has the effect of recording and analyzing the patterns of neural signals generated deep within the brain in real time to determine the timing of stimulation and delivering the correct type of stimulation to the target area. Brief explanation of the drawing

[0020] FIG. 1 is a diagram showing the overall concept of an open-loop electrical stimulation device for brain sensing stimulation according to an embodiment of the present invention. FIG. 2 is a diagram briefly showing the internal configuration of an electric stimulation device according to an embodiment of the present invention. Figure 3 is a diagram showing the structure of the basal ganglia associated with Parkinson's disease. FIG. 4 is a diagram showing an example of filtered LFP and SUP according to an embodiment of the present invention. Figure 5 is a diagram showing detailed bands of an LFP according to an embodiment of the present invention. FIG. 6 is a diagram showing an example of a spike firing detected in the subthalamic nucleus and motor cortex according to an embodiment of the present invention. FIG. 7 is a diagram showing an example of phase locking within the beta band in Parkinson's disease according to an embodiment of the present invention. FIG. 8 is a diagram illustrating the concept of an open-loop electrical stimulation device that delivers electrical stimulation when the oscillation power of the beta band according to an embodiment of the present invention is greater than or equal to a preset threshold. Specific details for implementing the invention

[0021] The present invention is susceptible to various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing.

[0022] Terms such as first, second, A, B, etc., may be used to describe various components, but said components shall not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0023] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0024] The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0025] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0026] Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the attached drawings. In order to facilitate an overall understanding of the present invention, the same reference numerals are used for identical components in the drawings, and redundant descriptions of identical components are omitted.

[0027] FIG. 1 is a diagram showing the overall concept of an open-loop electrical stimulation device for brain sensing stimulation according to an embodiment of the present invention, and FIG. 2 is a diagram showing the internal configuration of an electrical stimulation device according to an embodiment of the present invention.

[0028] An open-loop electrical stimulation device (100) for intracerebral sensing stimulation according to an embodiment of the present invention can obtain electrophysiological information by analyzing an electrical signal received from one or more surgical microelectrodes (10), and can determine the obtained electrophysiological information as a trigger signal for electrical stimulation.

[0029] An open-loop electrical stimulation device (100) for brain-sensing stimulation according to an embodiment of the present invention includes a brainwave signal detection unit (110), an amplification unit (120), a filtering unit (130), and a signal analysis unit (140).

[0030] One or more surgical microelectrodes (10) are electrodes that can be inserted into the deep part of the brain (specific part of the brain), are capable of signal recognition, and can be inserted to a target location of the patient.

[0031] Parkinson's disease is a representative example of a neurodegenerative disease to which the open-loop electrical stimulation device for brain sensing stimulation of the present invention can be applied.

[0032] Figure 3 is a diagram showing the structure of the basal ganglia associated with Parkinson's disease.

[0033] The loss of dopaminergic neurons distributed in the substantia nigra (SN) causes changes in neural signals within the basal ganglia and acts as a major cause of Parkinson's disease.

[0034] In particular, the subthalamic nucleus (STN) and the motor cortex (M1) are regions that cause prominent electrophysiological changes in Parkinson's disease models, and the trigger signal for open-loop electrical stimulation can be determined by analyzing the electrical signals generated in these regions.

[0035] In addition, deep brain stimulation targeting the subthalamic nucleus is one of the surgical treatments for Parkinson's disease that regulates neural signals within the basal ganglia through electrical stimulation.

[0036] Specific areas of the brain that cause prominent electrophysiological changes in the disease are, for example, the substantia nigra of the basal ganglia, the subthalamus, and the motor cortex in the case of Parkinson's disease.

[0037] Parkinson's disease is a neurodegenerative disease accompanied by motor disorders. Therefore, the electrophysiological pathway of Parkinson's disease is structured around the basal ganglia, which are responsible for motor functions.

[0038] The subthalamic nucleus (STN), a region within the basal ganglia, is the target site for electrical stimulation therapy in Parkinson's disease.

[0039] Because the STN is located in the deep parts of the brain, the corresponding electrical stimulation therapy is called DBS (Deep Brain Stimulation).

[0040] In Parkinson's disease, electrophysiological signals in the beta band are activated.

[0041] By analyzing beta band signals measured in the subthalamic nucleus (STN) and motor cortex within the basal ganglia, it is possible to diagnose Parkinson's disease or detect signals such as tremors and rigidity, which are symptoms of the disease.

[0042] The brainwave signal detection unit (110) receives electrophysiological signals generated in the deep brain (specific part of the brain) received from the microelectrode (10).

[0043] Electrophysiological signals can be broadly divided into LFP (Local Field Potential) in the 0.1 Hz to 300 Hz range and SUP (Single Unit Potential) in the 300 Hz to 3000 Hz range, depending on the frequency band.

[0044] SUP is a signal that detects the activity of a single neuron (nerve cell) and contains information about the cell's firing (activation), called a Spike.

[0045] Spike is electrophysiological information contained in the Single Unit Potential (SUP) in the 300Hz to 3000Hz band, and is an indicator of nerve cell activity.

[0046] LFP contains a wider range of information than SUP, and when analyzing specific diseases from an electrophysiological perspective, LFP can be filtered more finely to observe activity in specific frequency bands.

[0047] The amplification unit (120) amplifies the minute electrical signal (electrophysiological signal) received from the brainwave signal detection unit (110) to a certain size.

[0048] The filtering unit (130) may be equipped with a plurality of filters that remove Gaussian noise from the amplified electrical signal and filter it by frequency.

[0049] FIG. 4 is a diagram showing an example of filtered LFP and SUP according to an embodiment of the present invention, and FIG. 5 is a diagram showing a detailed band of LFP according to an embodiment of the present invention.

[0050] As illustrated in FIG. 4, the filtering unit (130) filters the amplified electrical signal using Fast Fourier Transform into LFP (Local Field Potential) in the 0.1 Hz to 300 Hz band and SUP (Single Unit Potential) in the 300 Hz to 3000 Hz band to obtain electrophysiological information contained in each band.

[0051] As illustrated in FIG. 5, the filtering unit (130) further filters the LFP (0.1 Hz to 300 Hz) to classify the brainwaves by frequency ranges of the delta band (0.1 Hz to 4 Hz), theta band (4 Hz to 8 Hz), alpha band (8 Hz to 12 Hz), beta band (12 Hz to 28 Hz), and gamma band (30 Hz to 100 Hz). Depending on the specific disease, the pattern of signal change for each frequency band may appear differently.

[0052] The reason for analyzing in such detail is that the frequency bands activated vary depending on the type of disease, and electrophysiological information indicates that the dominant bands activated differ for each frequency range.

[0053] Electrical signals (neural signals) generated within the brain contain different electrophysiological information depending on the frequency of the signal.

[0054] The signal analysis unit (140) analyzes the acquired electrophysiological information to determine a brain-specific signal corresponding to a specific disease, determines the brain-specific signal as a trigger signal, generates an electrical stimulation signal, and transmits it to a specific part of the brain.

[0055] Specific regions of the brain have LFP bands that become activated or show abnormal tendencies depending on the specific disease. Brain-specific signals can indicate the onset of symptoms of brain disease.

[0056] The signal analysis unit (140) can implement an open-loop electrical stimulation system by filtering the electrical signal measured through the microelectrode (10) inserted into the deep brain in detail according to the frequency band and determining the trigger signal of the disease based on the electrophysiological characteristics revealed for the target disease (Parkinson's disease, epilepsy, etc.).

[0057] The signal analysis unit (140) can determine the brain-specific signal as a trigger signal for Parkinson's disease by analyzing LFP centered on the beta band when the electrophysiological signal in the beta band measured in the subthalamic nucleus (STN) within the basal ganglia is activated.

[0058] The signal analysis unit (140) can determine the disease-specific pattern of a specific disease by analyzing the band-specific voltage, phase, and power of the LFP.

[0059] The signal analysis unit (140) can determine specific signals by analyzing the LFP signal centered on the beta band, as power in the beta band tends to be activated in the case of a Parkinson's disease model.

[0060] For example, Power Analysis is a method for determining how power is distributed across detailed frequency bands of LFP; in the involuntary movements (tremors, rigidity) of Parkinson's disease patients, power in the Beta Band measured in the motor cortex and STN shows a pattern of being higher than in other frequency bands.

[0061] The signal analysis unit (140) determines that the brain-specific signal is a trigger signal for Parkinson's disease if the frequency band of the electrical signal measured in the subthalamic nucleus (STN) within the basal ganglia has a power in the beta band that is greater than or equal to a preset reference power, and the remaining frequency bands do not increase.

[0062] The signal analysis unit (140) determines the brain-specific signal as a trigger signal for Parkinson's disease when the frequency band of the electrical signal measured in the subthalamic nucleus (STN) within the basal ganglia is the Single Unit Potential (SUP), a Spike which is an indicator of neuronal activity is obtained from the SUP, the Firing Rate which is related to the frequency of the Spike increases, and the Inter Spike Interval (ISI) which indicates the interval between Spikes decreases.

[0063] The signal analysis unit (140) receives electrical signals measured in the subthalamic nucleus (STN) and motor cortex (M1) within the basal ganglia, obtains Spike information which is an indicator of neuronal activity in the SUP, and analyzes the phase distribution of the beta band of the motor cortex at the time the Spike information occurs, and determines the brain-specific signal as a trigger signal for Parkinson's disease when the Phase Locking Value is 0.05 or less.

[0064] In this way, the signal analysis unit (140) can set the open-loop electrical stimulation for Parkinson's disease to be applied when all of the following conditions (first condition, second condition, and third condition) are satisfied simultaneously, based on the electrophysiological findings regarding Parkinson's disease.

[0065] The first condition is that the power of the electrical signal measured in the subthalamic nucleus (STN) within the basal ganglia in the beta band is greater than or equal to a preset reference power, and the remaining frequency bands other than the beta band do not increase.

[0066] The second condition is that the frequency band of the electrical signal measured in the STN is the Single Unit Potential (SUP), a spike—an indicator of neuronal activity—is obtained from the SUP, the firing rate related to the frequency of spikes increases, and the Inter-Spike Interval (ISI), representing the interval between spikes, decreases. In the case of Parkinson's disease, neuronal activation (firing, number of spikes) in the STN increases.

[0067] The third condition is to receive electrical signals measured in the STN and the motor cortex, and the frequency band of the electrical signal measured in the STN is the Single Unit Potential (SUP), and a spike is obtained from the SUP, and when the phase distribution of the beta band of the motor cortex is analyzed at the time the spike occurs, phase locking occurs when the phase locking value is 0.05 or less.

[0068] The signal analysis unit (140) can determine that a brain-specific signal is a trigger signal for Parkinson's disease if all of the first, second, and third conditions are satisfied.

[0069] In this case, the analysis is performed using signals measured simultaneously in the STN and the motor cortex. A spike is obtained from the single unit potential of the STN, and it is determined what signal appeared in the motor cortex at the time the spike occurred.

[0070] When the beta band phase distribution of the motor cortex at that time is analyzed for all spikes occurring in the STN, if the distribution is concentrated in a specific phase, it may exhibit a phase locking pattern.

[0071] In this case, the closer the Phase Locking Value is to 0, the more concentrated it is in a specific phase; generally, phase locking occurs when the Phase Locking Value becomes 0.05 or less. In the case of Parkinson's disease, phase locking occurs when the Phase Locking Value in the beta band is 0.05 or less.

[0072] FIG. 6 is a diagram showing an example of spike firing detected in the subthalamic nucleus and motor cortex according to an embodiment of the present invention, FIG. 7 is a diagram showing an example of phase locking in the beta band in Parkinson's disease according to an embodiment of the present invention, and FIG. 8 is a diagram showing the concept of an open-loop electrical stimulation device that delivers electrical stimulation when the oscillation power of the beta band is above a preset threshold according to an embodiment of the present invention.

[0073] As illustrated in FIG. 6, the signal analysis unit (140) receives electrical signals measured in the subthalamic nucleus (STN) and motor cortex within the basal ganglia, obtains a spike which is an indicator of neuronal activity in the SUP, and shows irregular spike firing (bursting) in the STN and motor cortex, and sets the change in the inter-spike interval (ISI) which indicates the interval between spikes as a parameter of the brain-specific signal so that it can be used as a trigger signal for Parkinson's disease.

[0074] The Parkinson's disease model exhibits irregular spike firing patterns in the subthalamic nucleus and motor cortex compared to the normal model. Therefore, the Inter-Spike Interval (ISI), which represents the interval between consecutively occurring spikes, can be set as a specific parameter and used as a trigger signal for an open-loop electrical stimulation device.

[0075] The signal analysis unit (140) can identify specific patterns of a specific disease by performing principal component analysis (PCA), inter-spike interval (ISI) analysis, etc., on the detected spike.

[0076] As illustrated in FIG. 7, the signal analysis unit (140) receives electrical signals measured in the subthalamic nucleus (STN) and motor cortex within the basal ganglia, and sets the phase locking pattern within the beta band of the frequency band of the received electrical signals as a parameter of the brain-specific signal so that it can be used as a trigger signal for Parkinson's disease.

[0077] Figure 7 shows phase locking, which is one of the analysis methods for obtaining disease-specific signals using information obtained from the detailed band of LFP and Spike.

[0078] The signal analysis unit (140) can analyze the LFP phase at the time when a spike occurs in a specific part of the brain by checking the circular distribution by frequency band.

[0079] As shown in Figure 7, when examining the signals detected in the motor cortex of a Parkinson's disease model, it can be observed that the distribution of spikes is specifically concentrated at a specific LFP phase in the beta band.

[0080] When comparing the phase locking pattern within the beta band with the normal model, prominent phase locking can be observed in the Parkinson's disease model.

[0081] Accordingly, the signal analysis unit (140) can determine phase locking within the beta band as a specific signal of Parkinson's disease and use it as a trigger signal for open-loop DBS.

[0082] As illustrated in FIG. 8, the signal analysis unit (140) receives an electrical signal measured in the subthalamic nucleus (STN) within the basal ganglia, and if the frequency band of the received electrical signal is the beta band and the oscillation power of the beta band is greater than or equal to a preset threshold, the brain-specific signal is determined as a trigger signal and can generate an electrical stimulation signal and transmit it to the STN.

[0083] In epilepsy, signals generated in the hippocampus of the brain are analyzed; if a spike firing pattern appears in the hippocampal region, it is determined to be a specific signal of epilepsy and can be used as a trigger signal for open-loop DBS.

[0084] As such, the present invention analyzes brain-specific signals of Parkinson's disease and utilizes them as trigger signals for open-loop DBS, but is not limited thereto, and may be a technology applicable to both neurodegenerative diseases and diseases occurring in the brain.

[0085] The operation according to the embodiments of this specification may be implemented as a computer-readable program or code on a computer-readable recording medium. A computer-readable recording medium includes all types of recording devices in which data that can be read by a computer system is stored. Additionally, a computer-readable recording medium may be distributed across networked computer systems, allowing computer-readable programs or code to be stored and executed in a distributed manner.

[0086] When the embodiment is implemented in software, the above-described technique may be implemented as a module (process, function, etc.) that performs the above-described function. The module may be stored in memory and executed by a processor. The memory may be located inside or outside the processor and may be connected to the processor by various well-known means.

[0087] In addition, computer-readable recording media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Program instructions may include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

[0088] Some aspects of the invention have been described in the context of a device, but may also be described according to a corresponding method, wherein a block or device corresponds to a method step or a feature of a method step. Similarly, aspects described in the context of a method may also be described according to a corresponding block or item or a feature of a corresponding device. Some or all of the method steps may be performed by (or using) a hardware device, such as, for example, a microprocessor, a programmable computer, or an electronic circuit. In some embodiments, one or more of the most important method steps may be performed by such a device.

[0089] In the embodiments, a programmable logic device (e.g., a field-programmable gate array) may be used to perform some or all of the functions of the methods described herein. In the embodiments, the field-programmable gate array may operate with a microprocessor to perform one of the methods described herein. Generally, it is preferable that the methods be performed by some hardware device.

[0090] Although the present invention has been described above with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the invention without departing from the spirit and scope of the invention as described in the following claims. Explanation of the symbols

[0091] 10: Microelectrode 100: Electric stimulation device 110: Brainwave signal detection unit 120: Amplification section 130: Filtering section 140: Signal Analysis Unit

Claims

Claim 1 A brainwave signal detection unit that receives electrophysiological signals generated in the subthalamic nucleus (STN) within the basal ganglia from microelectrodes inserted deep into the brain; an amplification unit that amplifies the electrophysiological signals received from the brainwave signal detection unit to a certain magnitude; and the amplified electrophysiological signals filtered using a Fast Fourier Transform into Local Field Potential (LFP) in the 0.1Hz to 300Hz band and Single Unit Potential (SUP) in the 300Hz to 3000Hz band to obtain electrophysiological information contained in each band, and the LFP is filtered into a Delta Band (0.A filtering unit that filters and classifies according to frequency ranges of 1Hz to 4Hz), theta band (4Hz to 8Hz), alpha band (8Hz to 12Hz), beta band (12Hz to 28Hz), and gamma band (30Hz to 100Hz); The system includes a signal analysis unit that analyzes the acquired electrophysiological information to determine a trigger signal corresponding to Parkinson's disease, and when a brain-specific signal is determined as the trigger signal, generates an electrical stimulation signal and transmits it to the subthalamic nucleus; the signal analysis unit comprises: a first condition in which the power in the Beta Band of the electrical signal measured in the subthalamic nucleus within the basal ganglia is greater than or equal to a preset reference power, and the remaining frequency bands other than the Beta Band do not increase; and a second condition in which the frequency band of the electrical signal measured in the STN is a Single Unit Potential (SUP), and a Spike, which is an indicator of neuronal activity, is obtained from the SUP to perform Principal Component Analysis (PCA), and the Firing Rate associated with the frequency of the Spike increases, and the Inter Spike Interval (ISI), which indicates the interval between the Spikes, decreases. and receives electrical signals measured from the STN and the motor cortex, the frequency band of the electrical signal measured from the STN is a Single Unit Potential (SUP), the spike is obtained from the SUP, and at the time the spike occurs, the phase locking value analyzed by confirming the circular distribution for the phase of the beta band of the motor cortex is 0.An open-loop electrical stimulation device for intrabrain sensing stimulation characterized by determining the brain-specific signal as a trigger signal for Parkinson's disease when all of the third conditions of 05 or less are simultaneously satisfied. Claim 2 delete Claim 3 delete Claim 4 An open-loop electrical stimulation device for intrabrain sensing stimulation according to claim 1, wherein the signal analysis unit analyzes the LFP centered on the beta band when an electrophysiological signal in the beta band measured in the subthalamic nucleus (STN) within the basal ganglia is activated, and determines the brain-specific signal as a trigger signal for Parkinson's disease. Claim 5 delete Claim 6 delete Claim 7 delete Claim 8 delete Claim 9 delete Claim 10 An open-loop electrical stimulation device for intrabrain sensing stimulation according to claim 1, wherein the signal analysis unit receives electrical signals measured in the subthalamic nucleus (STN) and motor cortex within the basal ganglia, obtains a spike which is an indicator of neuronal activity in the SUP, and sets changes in the inter-spike interval (ISI) which indicates the interval between spikes, as parameters of the brain-specific signal and uses them as trigger signals for Parkinson's disease. Claim 11 An open-loop electrical stimulation device for intrabrain sensing stimulation according to claim 1, wherein the signal analysis unit receives electrical signals measured in the subthalamic nucleus (STN) and motor cortex within the basal ganglia, and sets the phase locking pattern within the beta band of the frequency band of the received electrical signals as a parameter of the brain-specific signal to use as a trigger signal for Parkinson's disease. Claim 12 An open-loop electrical stimulation device for intrabrain sensing stimulation according to claim 1, wherein the signal analysis unit receives an electrical signal measured in the subthalamic nucleus (STN) within the basal ganglia, and when the frequency band of the received electrical signal is a beta band and the oscillation power of the beta band is greater than or equal to a preset specific threshold, the signal is determined as a brain-specific signal as a trigger signal to generate an electrical stimulation signal and transmit it to the STN.

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