Multi-channel electroconvulsive therapy device, system and server

Abstract

The present invention provides a multi-channel electroconvulsive therapy device, system and server, which have a simple structure, precise quantification and a low probability of side effects. The device includes an image acquisition module for acquiring a patient's brain image; an image segmentation module for segmenting the brain image according to different physiological tissues; an image reconstruction module for constructing an electrical model of the brain anatomical structure based on the electrical parameters corresponding to the physiological tissues from the segmented brain image; a finite element simulation module for performing finite element simulation calculations on the stimulation parameters of the surface stimulation channel based on the electrical model of the anatomical structure under the condition of satisfying the suprathreshold stimulation of the brain target area; a parameter optimization module for optimizing the stimulation parameters obtained by the simulation calculation to obtain the minimum stimulation current parameters; and a stimulation electrode module for generating corresponding electroconvulsive stimulation according to the received minimum stimulation current parameters.

Description

Technical Field

[0001] The present invention relates to the field of biomedical engineering, and in particular to a multi-channel electroconvulsive therapy device, system and server. Background Art

[0002] As an improvement on traditional electroconvulsive therapy (ECT), modified electroconvulsive therapy (MECT) is an effective method for treating mental illnesses such as depression and schizophrenia by inducing epilepsy through surface electrical stimulation during general anesthesia.

[0003] However, the technology currently widely used in clinical practice is still an empirical therapy, and there are still many unclear points in the treatment mechanism; when the stimulation current needs to be adjusted for different patients, it must rely on complex titration tests or be determined by the therapist based on experience; and the existing single-channel electroconvulsive therapy has a large surface stimulation current (about 900mA), which may cause cognitive side effects in patients. Furthermore, at the operational level, it uses traditional AC mains power supply and traditional complex and expensive ECG and EMG sensor amplifiers for intraoperative monitoring, making the system more complex and expensive.

[0004] It is particularly noteworthy that the current conventional single-channel high-intensity stimulation current (about 900mA) has the risk of cognitive side effects on patients. It is known that excessive excitation of brain neurons is the basic neurobiological mechanism of epilepsy. However, the mechanism of local cortical excitability in igniting epilepsy is not fully understood. Although according to the classic amygdala ignited epilepsy model, the amygdala, a deep brain nucleus in the medial temporal lobe, is the most likely nucleus to induce epilepsy among all brain tissues, during MECT treatment, due to the influence of individual anatomical differences in patients and the relative spatial position of deep brain nuclei such as the amygdala and the stimulating electrode, it is unknown whether the amygdala is ignited first, and whether the ignition of the amygdala induces one or a mixed form of temporal lobe, frontal lobe, parietal lobe, occipital lobe or insular lobe epilepsy. The only way to achieve the therapeutic effect is to induce as much brain tissue excitement as possible by high-current stimulation, and excessive stimulation of irrelevant brain tissues in high-intensity stimulation treatment is likely to be the main cause of cognitive side effects. Summary of the invention

[0005] In view of the problems existing in the prior art, the present invention provides a multi-channel electroconvulsive therapy device, system and server, which have a simple structure, precise quantification and a low probability of side effects.

[0006] The present invention is achieved through the following technical solutions:

[0007] Multi-channel electroconvulsive therapy device, comprising,

[0008] An image acquisition module, used to acquire a patient's brain image;

[0009] An image segmentation module is used to segment brain images according to different physiological tissues;

[0010] An image reconstruction module is used to construct an electrical model of the brain anatomical structure based on the electrical parameters corresponding to the physiological tissue from the segmented brain images;

[0011] The finite element simulation module is used to perform finite element simulation calculations on the stimulation parameters of the surface stimulation channel based on the electrical model of the anatomical structure under the condition of satisfying the suprathreshold stimulation of the brain target area;

[0012] A parameter optimization module, used to optimize the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters;

[0013] The stimulation electrode module is used to generate corresponding electroconvulsive stimulation according to the received minimum stimulation current parameters.

[0014] Optionally, the image segmentation module is specifically used to segment the brain image into skull, gray matter, white matter and cerebrospinal fluid according to physiological tissues;

[0015] The image reconstruction module is specifically used to construct an electrical model of the brain anatomical structure based on the electrical parameters corresponding to the physiological tissues of the skull, gray matter, white matter and cerebrospinal fluid after segmentation of the brain image; the electrical parameters are relative dielectric constant and conductivity.

[0016] Optionally, a driving unit for electrode driving is further included, and the driving unit drives the multiple stimulation electrodes respectively according to the number of stimulation channels and the stimulation current intensity in the received minimum stimulation current parameters.

[0017] Optionally, it also includes a vital sign monitoring module for receiving the patient's photoplethysmography signal and electroencephalogram signal, and extracting physiological indicators from the photoplethysmography signal and electroencephalogram signal for monitoring.

[0018] Optionally, it also includes a data acquisition module for collecting the patient's photoelectric volume accumulation signal and electroencephalogram signal, and transmitting the photoelectric volume accumulation signal and electroencephalogram signal to the vital sign monitoring module.

[0019] Multi-channel electroconvulsive therapy system, including,

[0020] Imaging equipment, used to collect images of the patient's brain;

[0021] The server is used to segment brain images of different patients according to physiological tissue types; to construct an electrical model of the brain anatomical structure according to the electrical parameters corresponding to the physiological tissues based on the segmented brain images; to perform finite element simulation calculations on stimulation parameters of the surface stimulation channel based on the electrical model under the condition of satisfying suprathreshold stimulation of the brain target area; to optimize the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters; and to send the minimum stimulation current parameters to different user terminals;

[0022] The user end is used to receive the minimum stimulation current parameters sent by the server and matched with the patient's user end, and to generate corresponding electroconvulsive stimulation through multiple stimulation electrodes of the user end according to the received minimum stimulation current parameters.

[0023] Optionally, the user terminal also includes a data acquisition unit for receiving the photoplethysmography signal of the patient collected by the photoplethysmography lead, for receiving the electroencephalogram signal of the patient collected by the electroencephalogram lead, and for transmitting the received photoplethysmography signal and electroencephalogram signal to the server.

[0024] Optionally, it also includes a vital sign monitoring device for receiving the photoplethysmography signal and the electroencephalogram signal sent by the user end, and for extracting physiological indicators from the photoplethysmography signal and the electroencephalogram signal for monitoring.

[0025] A multi-channel electroconvulsive therapy server comprises a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and the processor implements the following steps when executing the computer program:

[0026] Obtaining images of the patient’s brain;

[0027] Segment brain images according to physiological organization;

[0028] The segmented brain images are used to construct an electrical model of the brain anatomical structure according to the electrical parameters corresponding to the physiological tissues;

[0029] Under the condition of satisfying the suprathreshold stimulation of the brain target area, the stimulation parameters of the surface stimulation channel are simulated and calculated by finite element method based on the electrical model of the anatomical structure.

[0030] Optimizing the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters;

[0031] The minimum stimulation current parameter is sent to stimulation electrodes corresponding to the multiple user terminals, so that the stimulation electrodes of the multiple user terminals respectively generate corresponding electroconvulsive stimulation.

[0032] A computer-readable storage medium for multi-channel electroconvulsive therapy, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the following steps are implemented:

[0033] Obtaining images of the patient’s brain;

[0034] Segment brain images according to physiological organization;

[0035] The segmented brain images are used to construct an electrical model of the brain anatomical structure according to the electrical parameters corresponding to the physiological tissues;

[0036] Under the condition of satisfying the suprathreshold stimulation of the brain target area, the stimulation parameters of the surface stimulation channel are simulated and calculated by finite element method based on the anatomical structure electrical model;

[0037] Optimizing the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters;

[0038] The minimum stimulation current parameter is sent to stimulation electrodes corresponding to the multiple user terminals, so that the stimulation electrodes of the multiple user terminals respectively generate corresponding electroconvulsive stimulation.

[0039] Compared with the prior art, the present invention has the following beneficial technical effects:

[0040] The present invention establishes an electrical model based on the individual images of the patient, and through simulation, it can accurately calculate the minimum stimulation current applied by each stimulation channel on the body surface when causing suprathreshold stimulation of the target area, thereby realizing the transformation from extensive empirical stimulation to precise quantitative stimulation; and by replacing the traditional single-channel stimulation with multi-channel electroconvulsive stimulation on the body surface, the tissue activation volume of the stimulation path is reduced without affecting the effect, thereby reducing the possibility of cognitive side effects.

[0041] Furthermore, physiological monitoring is performed using simple and cost-effective photoplethysmographic signals, which effectively reduces system complexity and system cost and improves system reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Schematic diagram of the device described in Example 1 of the present invention.

[0043] Figure 2 This is a schematic diagram of the system described in Example 3 of the present invention.

[0044] Figure 3 This is a schematic diagram of the system described in Example 4 of the present invention.

[0045] Figure 4 This is a schematic diagram of electrode placement for the multi-channel electroconvulsive therapy method described in Example 1 of the present invention.

[0046] Figure 5 This is a comparison diagram of the current density formed in the skull by the multi-channel stimulation described in Example 1 of the present invention. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below in conjunction with specific embodiments, which are intended to explain the present invention rather than to limit it.

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other.

[0050] The present invention may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communications network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0051] In the present invention, "module", "device", "system" and the like refer to related entities applied to computers, such as hardware, a combination of hardware and software, software or software in execution, etc. In detail, for example, an element can be, but is not limited to, a process, a processor, an object, an executable element, an execution thread, a program and / or a computer running on a processor. In addition, an application or script program running on a server, a server can all be an element. One or more elements can be in an execution process and / or thread, and an element can be localized on a computer and / or distributed between two or more computers, and can be operated by various computer-readable media. An element can also communicate through local and / or remote processes according to a signal with one or more data packets, for example, a signal from a data that interacts with another element in a local system, a distributed system, and / or a network on the Internet through a signal to interact with other systems.

[0052] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include" and "comprise" include not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such processes, methods, articles or equipment. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the existence of other identical elements in the process, method, article or equipment that includes the elements.

[0053] Example 1

[0054] The present invention provides a multi-channel electroconvulsive therapy device, such as a single-channel electroconvulsive therapy device, which is selected based on empirical values, but does not clearly explain the mechanism of the treatment method; the single-channel electroconvulsive therapy has a large surface stimulation current and may cause cognitive side effects. Figure 1 As shown, including,

[0055] The image acquisition module 101 is used to acquire the patient's brain image and send the acquired anatomical image to the image segmentation module 102 for processing.

[0056] Among them, the patient's brain image is the patient's cranial magnetic resonance image. Usually, there are many magnetic resonance sequences that can distinguish gray matter, white matter, and cerebrospinal fluid tissue components, such as conventional head T1, T2 sequences, and T2 FLAIR sequences, which can provide a single-frame 512*512 pixel high-resolution image, but the above sequences generally do not collect complete skull images, so it is impossible to establish a complete skull geometry and physical model during modeling; the present invention uses a single-frame 256*256 pixel OAx DWI Asset axial diffusion weighted imaging sequence that collects complete skull images. In fact, the calculation accuracy of 256*256 pixels is sufficient to distinguish the skull, cerebrospinal fluid, gray matter, and white matter, which can meet the needs of physical modeling.

[0057] An image segmentation module 102 is used to segment the target brain image according to physiological tissues;

[0058] Among them, the segmentation is generated based on the patient's brain magnetic resonance imaging into four physiological tissues: skull, gray matter, white matter, and cerebrospinal fluid;

[0059] An image reconstruction module 103 is used to construct an electrical model of the brain anatomical structure based on the segmented brain image according to the electrical parameters corresponding to the physiological tissue;

[0060] Wherein, the electrical parameters are relative dielectric constant and conductivity.

[0061] The multi-physics field simulation module 104 is used to perform finite element simulation calculation on stimulation parameters of the surface stimulation channel based on the anatomical structure electrical model under the condition of satisfying the suprathreshold stimulation of the brain target area;

[0062] Wherein, when performing multi-physics field simulation calculation, multi-physics field simulation is performed using a finite element model;

[0063] The essence of calculating the electric field distribution in the cranial brain under external electrical stimulation is to solve the Maxwell equations in a medium composed of various biological tissues. That is:

[0064] ·D=ρ

[0065] B = 0

[0066]

[0067]

[0068] At the same time, in each tissue medium, the field quantities must satisfy the constitutive relationship of the tissue medium, that is, in a homogeneous, isotropic medium:

[0069] D = εE;

[0070] B = μH;

[0071] J=σE

[0072] This gives us the restricted form of Maxwell's equations:

[0073] ·(εE)=ρ

[0074] ·(μH)=0

[0075]

[0076]

[0077] where ρ is the charge density (C / m 3 ), ε represents the dielectric constant, μ is the magnetic permeability, σ is the electrical conductivity (S / m), and in inhomogeneous media, the boundary value relationship of the electromagnetic field on the interface must also be considered, and the initial conditions of the field quantity at t=0 are used to solve the electromagnetic field value at any point in space at any time.

[0078] A parameter optimization module 105 is used to optimize the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters;

[0079] First, the stimulation current size in the target area of ​​deep brain nuclei (hippocampus, amygdala region) was calculated when the brain surface stimulation current was given; the stimulation current on the brain surface was set to vary from 0 to 400 mA, with a step value of 10 mA. Each time the stimulation current was set, the surface current density in the corresponding target area of ​​deep brain nuclei (hippocampus, amygdala region) was calculated, and the cross-sectional size was calculated according to the radius of the cross-sectional area of ​​the nucleus, and then the stimulation current passing through the cross-sectional area was obtained and recorded. When it was determined that a stimulation current on the brain surface could induce epileptic seizures in the nucleus tissue, the stimulation current size passing through the cross-sectional area of ​​the nucleus corresponding to the set stimulation current value was recalculated with the brain surface stimulation current ±5 mA as the range and 1 mA as the step value, so as to obtain the minimum brain surface stimulation current that exceeded the threshold of epileptic seizures of the nucleus with an accuracy of 1 mA.

[0080] The stimulation electrode module 106 is used to generate corresponding electroconvulsive stimulation according to the received minimum stimulation current parameters.

[0081] Among them, through the multiple independent stimulation channels of the device, 3 are used as examples in this preferred embodiment to apply multiple optimized lower minimum stimulation currents through different stimulation channels at different parts of the skull surface, and act on the target area of ​​the brain at the same time, superimposing above-threshold electrical stimulation in the target area, replacing the existing device that only applies a single stronger current stimulation channel at the same part to directly form above-threshold electrical stimulation in the target area, thereby reducing the stimulation current flowing through each stimulation channel while maintaining the original stimulation effect, and achieving the purpose of reducing cognitive side effects. When it is used specifically, such as Figure 4 As shown, the first pair of stimulating electrodes are located at the temples on both sides of the temporal lobe; the second pair of electrodes are located at five acupoints on both sides of the anterior fontanelle; and the third pair of additional electrodes are located at the Luoque acupoint near the posterior fontanelle.

[0082] The present invention does not select the stimulation current size based on experience, but establishes an electrical model based on the patient's individual brain magnetic resonance imaging, accurately calculates the minimum damaging stimulation current applied by each stimulation channel on the surface of the body when causing suprathreshold stimulation of the target area of ​​the amygdala in the brain, and realizes the transformation from extensive empirical therapy to precise quantitative therapy; at the same time, multi-channel electroconvulsive stimulation on the surface of the body is superimposed on the target area of ​​the amygdala in the brain to form suprathreshold stimulation, replacing the traditional single-channel electroconvulsive stimulation that directly applies suprathreshold stimulation to the target area, such as Figure 5As shown, the current density distribution generated by different numbers of stimulation channels during the multi-channel electroconvulsive therapy of the present invention. Obviously, when the amygdala reaches the stimulation threshold, the stimulation current of each stimulation channel decreases as the number of channels increases, so that in this preferred embodiment, the stimulation current of each channel can be reduced from 191.38±64.79mA in single channel to 163.16±55.87mA in dual channel; the stimulation current of each channel in three channels is 146.73±51.97mA; and there are significant differences between the three (p≤0.0001). Although the sum of the multi-channel stimulation current may be higher than the single-channel stimulation current, the current on each stimulation path is significantly lower than the single-channel stimulation current. Without affecting the treatment effect, the tissue activation volume of the stimulation path is reduced, and the possibility of cognitive side effects is reduced.

[0083] Example 2

[0084] Based on Example 1, the present invention further includes a vital sign monitoring module, which is used to receive the patient's photoplethysmography signal and electroencephalogram signal, extract the physiological indicators in the photoplethysmography signal and the electroencephalogram signal for monitoring, so as to monitor the patient's vital signs in actual use.

[0085] Wherein, when in use, before the three independent stimulation channels are driven to form multi-channel electroconvulsive stimulation, the photoelectric capacitance wave and electroencephalogram signals detected by the photoelectric capacitance wave amplifier and the electroencephalogram amplifier are received to monitor vital signs. In a preferred embodiment of the present invention, a data acquisition module is also included to collect the photoelectric capacitance wave signal and the electroencephalogram signal of the patient and transmit them to the vital sign monitoring module. Through the complete process of data acquisition, transmission and display, the monitoring function of the device described in the present invention is realized.

[0086] Example 3

[0087] In view of the fact that intraoperative monitoring equipment is complex and impractical in actual situations, it is often abandoned in actual treatment; the electroconvulsive therapy device is large in size and complex in power supply, and it is difficult to use it outside the physical therapy operating room. In another embodiment of the present invention, a multi-channel electroconvulsive therapy system is provided, such as Figure 2 As shown, it includes,

[0088] An image acquisition module 201 is used to acquire a patient's brain image;

[0089] Server 202 is used to segment the patient's brain image according to physiological tissue; and to construct an electrical model of the brain anatomical structure based on the segmented brain image according to the electrical parameters corresponding to the physiological tissue; to perform multi-physical field simulation calculations on the stimulation parameters of the surface stimulation channel based on the electrical structure model under the condition of satisfying the suprathreshold stimulation of the brain target area; to optimize the stimulation parameters obtained by the simulation calculation to obtain the minimum stimulation current parameters; and to send the minimum stimulation current parameters to the corresponding plurality of user terminals;

[0090] The user terminal 203 is used to receive the minimum stimulation current parameters sent by the server and matched with the patient's user terminal, and generate corresponding electroconvulsive stimulation through multiple stimulation electrodes of the user terminal according to the received minimum stimulation current parameters.

[0091] The server actually integrates the image acquisition module 101, image segmentation module 102, image reconstruction module 103, multi-physics field simulation module 104 and parameter optimization module 105 in the device; it is placed in the physical therapy department of large and medium-sized mental health centers, and the image acquisition module 201 is dispersed in the imaging centers of medical and health institutions, so as to realize the separation of various parts of the system, and can use smart phones, tablet computers and other communication devices as separation platforms, store the pre-optimized parameters in the separation platform, and only carry the separation platform and the supporting user terminal 203 as a stimulation device into the community and home to carry out follow-up electroconvulsive therapy for patients who are not convenient for hospitalization.

[0092] At the same time, the user terminal also includes a data acquisition unit for receiving the photoelectric capacitance wave signal collected by the photoelectric capacitance wave lead, for receiving the EEG signal collected by the patient, and for transmitting the received photoelectric capacitance wave signal and EEG signal to the server. And also includes a vital sign monitoring device for receiving the photoelectric capacitance wave signal and EEG signal sent by the user terminal, and for extracting the physiological indicators in the photoelectric capacitance wave signal and EEG signal for monitoring. This part, together with the user terminal 203, can be separated from the other two parts and carried and used in a portable manner. The photoelectric capacitance wave amplifier and the EEG amplifier collect the photoelectric capacitance wave of the fingertips or wrists through the photoelectric capacitance wave lead, collect the EEG signal through the EEG lead, and monitor the pulse rate, respiration, blood oxygen saturation, heart rate variability and other physiological parameters and the effect of multi-channel electroconvulsive therapy at the same time, and provide data for the patient's intraoperative vital sign monitoring.

[0093] In this embodiment, the number of user terminals 203 can be three or more, and it can rely on the existing Internet or Internet of Things, with a server 202 as the core, and use multiple acquisition modules 201 to acquire patient data, and then monitor and treat multiple patients at the same time through the corresponding user terminals 203, which greatly improves the flexibility and adaptability of the system.

[0094] Example 4

[0095] If the system of the present invention is used in only one treatment room, the server of the system can actually be replaced by a host computer. Specifically, Figure 3 shown.

[0096] The multi-channel electroconvulsive therapy device of the present invention comprises the following components:

[0097] Component 01: Host computer. The host computer includes components 21 to 25; among them,

[0098] Component 21: Image segmenter. Generates different tissue images segmented into four physiological tissues, namely, skull, gray matter, white matter and cerebrospinal fluid, based on the patient's preoperative cranial magnetic resonance images; wherein, component 21 affects the segmenter, using the 1.5T or 3.0T OAx DWI Asset axial diffusion weighted imaging sequence magnetic resonance images of the patient before the operation;

[0099] Component 22: Image reconstructor. Reconstruct the electrical structure model of the brain based on the electrical parameters of different tissues such as the skull, gray matter, white matter, and cerebrospinal fluid, specifically the relative dielectric constant and conductivity;

[0100] Among them, during the imaging process of the image reconstructor of the component 22, the relative dielectric constant and conductivity are obtained by actual measurement or experience: the relative dielectric constants of the skull, gray matter, white matter, and cerebrospinal fluid are 217030, 3906100, 1667700, and 109, respectively; the conductivity (S / m) is 0.0810, 2, 0.08918, and 0.058093, respectively.

[0101] Component 23: Multi-physics field simulator. Multi-physics field simulation is performed using a finite element model to simulate and calculate stimulation parameters such as stimulation current of the surface stimulation channel under the condition of satisfying the suprathreshold stimulation of the brain target area;

[0102] Wherein, when the component 23 multi-physics field simulator calculates the suprathreshold stimulation formed at the amygdala in the cranial target area, the suprathreshold stimulation threshold of the amygdala is obtained by actual measurement or experience: it is about 500uA.

[0103] Component 24: parameter optimizer. Completes the calculation and optimization of stimulation parameters, optimizes stimulation parameters such as the number of stimulation channels and stimulation current intensity, generates the stimulation parameters with the least damage, and then transmits them to the data acquisition card of component 02 in a wired or wireless manner;

[0104] Component 25: Vital signs monitor. Display the EEG signals and photoelectric capacitance wave signals collected by the data acquisition card of component 02 on the monitoring screen in a wired or wireless manner, and extract physiological indicators such as heart rate, respiration, blood oxygen saturation and heart rate variability for intraoperative monitoring of the patient's vital signs;

[0105] Component 02: Data acquisition card. The stimulation signal is transmitted to the component 02 data acquisition card by wired or wireless means to drive the stimulation signal; at the same time, the vital signs monitor in the host computer displays the EEG signals and photoelectric capacitance wave signals collected by the component 02 data acquisition card on the monitoring screen by wired or wireless means, and extracts physiological indicators such as heart rate, respiration, blood oxygen saturation and heart rate variability for intraoperative monitoring of the patient's vital signs. Specifically, the optimal minimum damage current stimulation parameters transmitted by the component 01 host computer are received by wired or wireless means, and the three independent stimulation channels of components 06, 07, and 08 are driven respectively to form multi-channel electroconvulsive stimulation; at the same time, the photoelectric capacitance wave and EEG signals detected by the component 04 photoelectric capacitance wave amplifier and the 05 EEG amplifier are received, and transmitted back to the component 01 host computer;

[0106] Component 03: High energy density lithium-ion battery. Provides power supply for other components except the host computer of component 01; especially provides corresponding energy supply for the stimulation output of the three stimulation channels of components 06, 07 and 08;

[0107] Component 04: Photoplethysmography amplifier. Component 09 photoplethysmography leads are used to collect photoplethysmography at the fingertips or wrists, and simultaneously monitor physiological parameters such as pulse rate, respiration, blood oxygen saturation, and heart rate variability, which are then sent to component 02 data acquisition card and transmitted back to component 01 host computer to provide data for intraoperative vital sign monitoring of patients.

[0108] Component 05: EEG amplifier. Collect EEG signals through component 10 EEG leads to monitor the effect of multi-channel electroconvulsive therapy. Monitor whether epileptic EEG seizures are induced after stimulation, and use this as an indicator to determine whether the electrical stimulation is effective;

[0109] Components 06, 07, and 08: are three identical and independent stimulation channels, which are used to receive the output signal of the data acquisition card, generate electroconvulsive stimulation, and transmit it to components 11, 12, and 13 stimulation electrode 1, stimulation electrode 2, and stimulation electrode 3, respectively, to release low-intensity minimum stimulation current to the patient's brain, superimpose and combine in the target area to generate suprathreshold stimulation, induce epileptic EEG seizures to achieve the purpose of treatment;

[0110] Component 09: Photoplethysmography lead. It is used to transmit the photoplethysmography signal of the fingertip or wrist to the photoplethysmography amplifier of component 04 to extract the physiological information such as pulse rate, respiration, blood oxygen saturation and heart rate variability from the photoplethysmography;

[0111] Component 10: EEG lead. Used to detect the patient's EEG signal and transmit it to component 05 EEG amplifier to detect whether there is epileptic discharge in the EEG;

[0112] The photoelectric plethysmography amplifier 04 and the electroencephalogram amplifier 05 respectively collect photoelectric plethysmography at the fingertips or wrists through the photoelectric plethysmography lead 09 and collect electroencephalogram signals through the electroencephalogram lead 10, while monitoring physiological parameters such as pulse rate, respiration, blood oxygen saturation, heart rate variability, and the effect of multi-channel electroconvulsive therapy, providing data for intraoperative vital sign monitoring of patients.

[0113] Components 11, 12, and 13: are three identical and independent stimulation electrodes. They are used to deliver and release the stimulation current generated by the three stimulation channels of components 06, 07, and 08 to the patient's brain to complete the treatment process;

[0114] The device of the present invention uses a host computer to calculate and optimize the stimulation parameters. It does not use the traditional complex and expensive ECG and EMG sensor amplifiers for intraoperative monitoring, but uses a simple, compact, and cost-effective photoelectric capacitance wave sensor amplifier in conjunction with an EEG amplifier to implement MECT intraoperative monitoring, which not only increases the number of monitored physiological parameters, but also effectively reduces the complexity and cost of the system and improves the reliability of the system.

[0115] The present invention does not adopt the traditional AC mains power supply method, but instead adopts the high-energy density lithium battery power supply method, which enables the traditional single-channel electroconvulsive therapy that needs to be completed in the physical therapy operating room to evolve into a community treatment activity that can be carried out anywhere in the home and community, expanding the applicable space and scope of treatment, and can effectively improve the treatment coverage of mental illnesses.

[0116] In this preferred embodiment, components 21 to 25 in the host computer are integrated into one; that is, the image segmenter, image reconstructor, multi-physics field simulator, parameter optimizer, and vital sign monitor are integrated into one; suitable for centralized use in the physical therapy departments of large and medium-sized mental health centers, and one host computer can be equipped with multiple stimulation devices to carry out treatment work simultaneously.

[0117] Example 5

[0118] Based on Example 3, the present invention further provides a server, including a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and the processor implements the following steps when executing the computer program:

[0119] Obtaining images of the patient’s brain;

[0120] Segment brain images according to physiological organization;

[0121] The electrical model of the brain anatomical structure is constructed based on the electrical parameters corresponding to the physiological tissues of the segmented brain images;

[0122] Under the condition of satisfying the suprathreshold stimulation of the brain target area, the stimulation parameters of the surface stimulation channel are simulated and calculated by multi-physics field based on the electrical model of the anatomical structure;

[0123] Optimizing the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters;

[0124] The minimum stimulation current parameter is sent to the multiple stimulation electrodes, so that the multiple stimulation electrodes can respectively generate corresponding electroconvulsive stimulation.

[0125] Example 6

[0126] Based on Examples 3 and 5, the present invention further includes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor, the following steps are implemented:

[0127] Obtaining images of the patient’s brain;

[0128] Segment brain images according to physiological organization;

[0129] The electrical model of the brain anatomical structure is constructed based on the electrical parameters corresponding to the physiological tissues of the segmented brain images;

[0130] Under the condition of satisfying the suprathreshold stimulation of the brain target area, the stimulation parameters of the surface stimulation channel are simulated and calculated by finite element method based on the anatomical structure electrical model;

[0131] Optimizing the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters;

[0132] The minimum stimulation current parameter is sent to the multiple stimulation electrodes, so that the multiple stimulation electrodes can respectively generate corresponding electroconvulsive stimulation.

[0133] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0134] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A multi-channel electroconvulsive therapy device, characterized in that: include, An image acquisition module, used to acquire a patient's brain image; An image segmentation module is used to segment brain images according to different physiological tissues; An image reconstruction module is used to construct an electrical model of the brain anatomical structure based on the electrical parameters corresponding to the physiological tissue from the segmented brain images; The finite element simulation module is used to perform finite element simulation calculations on the stimulation parameters of the surface stimulation channel based on the electrical model of the anatomical structure under the condition of satisfying the suprathreshold stimulation of the brain target area; The parameter optimization module is used to optimize the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters; the stimulation current on the surface of the skull is set to vary from 0 to 400 mA, and the minimum stimulation current on the surface of the skull that exceeds the threshold of the epileptic seizure of the nucleus is obtained to obtain the minimum stimulation current parameters; The stimulation electrode module is used to generate corresponding electroconvulsive stimulation according to the received minimum stimulation current parameters; The stimulation electrode module includes multiple independent stimulation channels, which apply multiple optimized minimum stimulation currents through different stimulation channels at different locations on the surface of the skull and brain, and act on the target area of ​​the brain at the same time, thereby forming suprathreshold electrical stimulation in the target area.

2. The multi-channel electroconvulsive therapy device according to claim 1, characterized in that: The image segmentation module is specifically used to segment the brain image into skull, gray matter, white matter and cerebrospinal fluid according to physiological tissues; The image reconstruction module is specifically used to construct an electrical model of the brain anatomical structure based on the electrical parameters corresponding to the physiological tissues of the skull, gray matter, white matter and cerebrospinal fluid after segmentation of the brain image; the electrical parameters are relative dielectric constant and conductivity.

3. The multi-channel electroconvulsive therapy device according to claim 1, characterized in that: It also includes a driving unit for electrode driving, which drives the multiple stimulation electrodes respectively according to the number of stimulation channels and the stimulation current intensity in the received minimum stimulation current parameters.

4. The multi-channel electroconvulsive therapy device according to claim 1, characterized in that: It also includes a vital sign monitoring module, which is used to receive the patient's photoelectric volume accumulation signal and electroencephalogram signal, and extract physiological indicators from the photoelectric volume accumulation signal and electroencephalogram signal for monitoring.

5. The multi-channel electroconvulsive therapy device according to claim 4, characterized in that: It also includes a data acquisition module for acquiring the patient's photoelectric volumetric wave signal and the electroencephalogram signal, and transmitting the photoelectric volumetric wave signal and the electroencephalogram signal to the vital sign monitoring module.

6. A multi-channel electroconvulsive therapy system, characterized in that: include, Imaging equipment, used to collect images of the patient's brain; The server is used to segment brain images of different patients according to physiological tissue types; to construct an electrical model of the brain anatomical structure according to the electrical parameters corresponding to the physiological tissues based on the segmented brain images; to perform finite element simulation calculations on the stimulation parameters of the surface stimulation channel based on the electrical model under the condition of satisfying the suprathreshold stimulation of the brain target area; to optimize the stimulation parameters obtained by the simulation calculation to obtain the minimum stimulation current parameters; to send the minimum stimulation current parameters to different user terminals; to set the stimulation current on the surface of the skull to vary from 0 to 400 mA, and to obtain the minimum skull surface stimulation current that exceeds the threshold of the epileptic seizure of the nucleus, and obtain the minimum stimulation current parameters; The user end is used to receive the minimum stimulation current parameters sent by the server that match the patient's user end, and to generate corresponding electroconvulsive stimulation through multiple stimulation electrodes on the user end according to the received minimum stimulation current parameters; it is used to apply multiple optimized minimum stimulation currents through different stimulation channels at different parts of the surface of the skull and brain, and act on the target area of ​​the brain at the same time, so as to form suprathreshold electrical stimulation superimposed in the target area.

7. The multi-channel electroconvulsive therapy system according to claim 6, characterized in that: The user terminal also includes a data acquisition unit for receiving the photoelectric volumetric wave signal collected by the photoelectric volumetric wave lead, for receiving the electroencephalogram signal collected by the patient by the electroencephalogram lead, and for transmitting the received photoelectric volumetric wave signal and electroencephalogram signal to the server.

8. The multi-channel electroconvulsive therapy system according to claim 6, characterized in that: It also includes a vital sign monitoring device for receiving the photoelectric volume accumulation wave signal and the electroencephalogram signal sent by the user end, and for extracting the physiological indicators in the photoelectric volume accumulation wave signal and the electroencephalogram signal for monitoring.

9. A multi-channel electroconvulsive therapy server, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and the processor implements the following steps when executing the computer program: Obtaining images of the patient’s brain; Segment brain images according to physiological organization; The segmented brain images are used to construct an electrical model of the brain anatomical structure according to the electrical parameters corresponding to the physiological tissues; Under the condition of satisfying the suprathreshold stimulation of the brain target area, the stimulation parameters of the surface stimulation channel are simulated and calculated by finite element method based on the electrical model of the anatomical structure. The stimulation parameters obtained by simulation calculation are optimized to obtain the minimum stimulation current parameters; the stimulation current on the surface of the skull is set to vary from 0 to 400 mA, and the minimum stimulation current on the surface of the skull that exceeds the threshold of epileptic seizure of the nucleus is obtained to obtain the minimum stimulation current parameters; The minimum stimulation current parameters are sent to the stimulation electrodes corresponding to the multiple user terminals, so that the stimulation electrodes of the multiple user terminals respectively generate corresponding electroconvulsive stimulation; the stimulation electrode module includes multiple independent stimulation channels, which apply multiple optimized minimum stimulation currents through different stimulation channels at different parts of the brain surface, and act on the target area of ​​the brain at the same time, so as to form suprathreshold electrical stimulation superimposed in the target area.

10. A computer-readable storage medium for multi-channel electroconvulsive therapy, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by the processor, the following steps are implemented: Obtaining images of the patient’s brain; Segment brain images according to physiological organization; The segmented brain images are used to construct an electrical model of the brain anatomical structure according to the electrical parameters corresponding to the physiological tissues; Under the condition of satisfying the suprathreshold stimulation of the brain target area, the stimulation parameters of the surface stimulation channel are simulated and calculated by finite element method based on the anatomical structure electrical model; Optimizing the stimulation parameters obtained by simulation calculation to obtain the minimum stimulation current parameters; The stimulation current on the surface of the brain is set to vary from 0 to 400 mA, and the minimum stimulation current on the surface of the brain that exceeds the threshold of the epileptic seizure of the nucleus is obtained to obtain the minimum stimulation current parameter; The minimum stimulation current parameters are sent to the stimulation electrodes corresponding to the multiple user ends, so that the stimulation electrodes of the multiple user ends respectively generate corresponding electroconvulsive stimulation; the stimulation electrode module includes multiple independent stimulation channels, which apply multiple optimized minimum stimulation currents through different stimulation channels at different parts of the brain surface, and act on the target area of ​​the brain at the same time, so as to form suprathreshold electrical stimulation superimposed in the target area.

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