CN113730801A - Multi-channel electroconvulsive therapy device, system and server - Google Patents

Multi-channel electroconvulsive therapy device, system and server Download PDF

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CN113730801A
CN113730801A CN202110904162.8A CN202110904162A CN113730801A CN 113730801 A CN113730801 A CN 113730801A CN 202110904162 A CN202110904162 A CN 202110904162A CN 113730801 A CN113730801 A CN 113730801A
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陈翔
程莞鑫
张辉
何长江
李津
杨翰
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XI AN SPIRIT SANITARY CENTRAL
Xian Jiaotong University
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Abstract

The invention provides a multichannel electroconvulsive therapy device, a multichannel electroconvulsive therapy system and a multichannel electroconvulsive therapy server, which are simple in structure, accurate in quantification and low in side effect occurrence probability. The device comprises an image acquisition module, a data acquisition module and a data processing module, wherein the image acquisition module is used for acquiring the brain image of a patient; the image segmentation module is used for segmenting the brain image according to different physiological tissues; the image reconstruction module is used for constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues; the finite element simulation module is used for carrying out finite element simulation calculation on the stimulation parameters of the body surface stimulation channels on the basis of the electrical model of the anatomical structure under the condition that the suprathreshold stimulation of the brain target region is met; the parameter optimization module is used for optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters; and the stimulation electrode module is used for generating corresponding electroconvulsive stimulation according to the received minimum stimulation current parameter.

Description

Multi-channel electroconvulsive therapy device, system and server
Technical Field
The invention relates to the field of biomedical engineering, in particular to a multi-channel electroconvulsive therapy device, a multi-channel electroconvulsive therapy system and a server.
Background
As an improvement of conventional electroconvulsive therapy (ECT), modified electroconvulsive therapy (MECT) is an effective method for treating mental diseases such as depression and schizophrenia by inducing epilepsy through body surface electrical stimulation during general anesthesia.
However, the technology widely used in clinic at present still belongs to empirical therapy, and there are still many places with unclear elucidation on the treatment mechanism; the stimulation current needs to be adjusted according to different patients, and the adjustment needs to depend on a complicated titration method test or is determined by a therapist according to experience; the existing single-channel electroconvulsive therapy has large body surface stimulation current (about 900 mA), and can cause cognitive side effects of patients. Furthermore, in the operational aspect, the conventional ac mains power supply and the conventional complex and expensive ECG and EMG sensing amplifiers are used for intraoperative monitoring, so that the system is complex and expensive.
Of particular note, the current conventional single channel high intensity stimulation currents (around 900 mA) risk cognitive side effects to the patient. It is known that hyperexcitability of brain neurons is the basic neurobiological mechanism of epileptic production. The mechanisms by which the local cortical excitability participates in the ignition of epilepsy are not fully understood. Although the amygdala, the medial temporal lobe deep brain nucleus amygdala, is the nucleus group most likely to induce epilepsy in all brain tissues according to the classical amygdala ignited epilepsy model, during MECT treatment, whether the amygdala is ignited first or not is influenced by individual anatomical structure differences of patients and the relative spatial positions of the deep brain nucleus groups such as the amygdala and the stimulation electrodes, and whether one or a mixture of temporal lobe, frontal lobe, parietal lobe, occipital lobe or insular lobe epilepsy is/are induced after the amygdala is ignited is unknown, the treatment effect can be achieved only by inducing as much brain tissue excitation as possible through high-current stimulation, and overstimulation on unrelated brain tissues in high-intensity stimulation treatment is likely to be the main reason for generating cognitive side effects.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multichannel electroconvulsive therapy device, a multichannel electroconvulsive therapy system and a multichannel electroconvulsive therapy server, which are simple in structure, accurate in quantification and low in side effect occurrence probability.
The invention is realized by the following technical scheme:
a multi-channel electroconvulsive therapy device, comprising,
the image acquisition module is used for acquiring a brain image of a patient;
the image segmentation module is used for segmenting the brain image according to different physiological tissues;
the image reconstruction module is used for constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
the finite element simulation module is used for carrying out finite element simulation calculation on the stimulation parameters of the body surface stimulation channels on the basis of the electrical model of the anatomical structure under the condition that the suprathreshold stimulation of the brain target region is met;
the parameter optimization module is used for optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and the stimulation electrode module is used for generating corresponding electroconvulsive stimulation according to the received minimum stimulation current parameter.
Optionally, the image segmentation module is specifically configured to segment the brain image into a skull, a grey brain matter, a white brain matter, and a cerebrospinal fluid according to a physiological tissue;
the image reconstruction module is specifically used for constructing an electrical model of the brain anatomical structure of the segmented brain image according to electrical parameters corresponding to the physiological tissues of the skull, the gray matter of the brain, the white matter of the brain and the cerebrospinal fluid; the electrical parameters are relative dielectric constant and conductivity.
Optionally, the stimulation apparatus further includes a driving unit for driving the electrodes, and the driving unit drives the stimulation electrodes respectively according to the number of stimulation channels and the stimulation current intensity in the received minimum stimulation current parameter.
Optionally, the system further comprises a vital sign monitoring module, configured to receive the photoplethysmographic signal and the electroencephalogram signal of the patient, and extract physiological indexes in the photoplethysmographic signal and the electroencephalogram signal for monitoring.
Optionally, the system further comprises a data acquisition module for acquiring the photoplethysmographic signal and the electroencephalogram signal of the patient and transmitting the photoplethysmographic signal and the electroencephalogram signal to the vital sign monitoring module.
A multi-channel electroconvulsive therapy system, comprising,
the imaging device is used for acquiring brain images of the patient;
the server is used for segmenting the brain images of different patients according to the types of the physiological tissues; the electrical model is used for constructing the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues; the method is used for carrying out finite element simulation calculation on stimulation parameters of a body surface stimulation channel based on an electrical model under the condition of satisfying suprathreshold stimulation of a brain target region; the stimulation parameter optimization module is used for optimizing the stimulation parameter obtained by simulation calculation to obtain a minimum stimulation current parameter; the system is used for sending the minimum stimulation current parameter to different user terminals;
and the user side is used for receiving the minimum stimulation current parameter which is sent by the server and matched with the patient user side, and generating corresponding electroconvulsive stimulation through the plurality of stimulation electrodes of the user side according to the received minimum stimulation current parameter.
Optionally, the user side further includes a data acquisition unit, configured to receive the photoelectric volume wave lead and acquire the photoelectric volume wave signal of the patient, receive the electroencephalogram signal of the patient acquired by the electroencephalogram lead, and transmit the received photoelectric volume wave signal and the electroencephalogram signal to the server.
Optionally, the system further comprises a vital sign monitoring device, configured to receive the photoplethysmographic signal and the electroencephalogram signal sent by the user side, and extract physiological indexes in the photoplethysmographic signal and the electroencephalogram signal for monitoring.
A multi-channel electroconvulsive therapy server comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the processor implementing the following steps when executing the computer program,
acquiring a brain image of a patient;
segmenting the brain image according to the physiological tissues;
constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
carrying out finite element simulation calculation on stimulation parameters of a body surface stimulation channel based on an electrical model of an anatomical structure under the condition of satisfying suprathreshold stimulation of a brain target region;
optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and sending the minimum stimulation current parameter to the stimulation electrodes corresponding to the plurality of user terminals, wherein the stimulation electrodes of the plurality of user terminals are used for respectively generating corresponding electroconvulsive stimulation.
A multi-channel electroconvulsive therapy computer readable storage medium having a computer program stored thereon, which when executed by the processor implements the steps of,
acquiring a brain image of a patient;
segmenting the brain image according to the physiological tissues;
constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
carrying out finite element simulation calculation on stimulation parameters of a body surface stimulation channel based on an anatomical structure electrical model under the condition of satisfying suprathreshold stimulation of a brain target region;
optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and sending the minimum stimulation current parameter to the stimulation electrodes corresponding to the plurality of user terminals, wherein the stimulation electrodes of the plurality of user terminals are used for generating corresponding electroconvulsive stimulation respectively.
Compared with the prior art, the invention has the following beneficial technical effects:
the method is characterized in that an electrical model is established based on individual images of a patient, and the minimum stimulation current applied to each stimulation channel on the body surface when the target area is stimulated above the threshold can be accurately calculated through simulation, so that the conversion from extensive experience stimulation to accurate quantitative stimulation is realized; and the body surface multichannel electroconvulsive stimulation is used for replacing the traditional single-channel stimulation, so that the tissue activation volume of a stimulation path is reduced on the premise of not influencing the effect, and the possibility of occurrence of cognitive side effects is reduced.
Furthermore, physiological monitoring is carried out through the simple and cost-effective photoelectric volume wave signals, the complexity and the cost of the system are effectively reduced, and the reliability of the system is improved.
Drawings
FIG. 1 is a schematic view of the apparatus described in example 1 of the present invention.
FIG. 2 is a schematic diagram of the system described in example 3 of the present invention.
FIG. 3 is a schematic diagram of the system described in example 4 of the present invention.
Fig. 4 is a schematic diagram of the electrode placement of the multi-channel electroconvulsive therapy described in example 1 of the present invention.
FIG. 5 is a graph comparing the current density developed on the cranium by the multi-channel stimulation described in example 1 of the present invention.
Detailed Description
The present invention will now be described in further detail with reference to specific examples, which are intended to be illustrative, but not limiting, of the invention.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
As used in this disclosure, "module," "device," "system," and the like are intended to refer to a computer-related entity, either hardware, a combination of hardware and software, or software in execution. In particular, for example, an element may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. Also, an application or script running on a server, or a server, may be an element. One or more elements may be in a process and/or thread of execution and an element may be localized on one computer and/or distributed between two or more computers and may be operated by various computer-readable media. The elements may also communicate by way of local and/or remote processes based on a signal having one or more data packets, e.g., from a data packet interacting with another element in a local system, distributed system, and/or across a network in the internet with other systems by way of the signal.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Example 1
The mechanism of the treatment method is not clarified by the conventional single-channel electroconvulsive therapy device and method selected based on empirical values; the single-channel electroconvulsive therapy has large body surface stimulation current which may cause the risk of cognitive side effects, and provides a multi-channel electroconvulsive therapy device, as shown in figure 1, comprising,
the image acquisition module 101 is configured to acquire a brain image of a patient, and send the acquired anatomical image to the image segmentation module 102 for processing.
The brain image of the patient is a cranial magnetic resonance image of the patient, generally, there are many magnetic resonance sequences capable of distinguishing gray matter, white matter and cerebrospinal fluid tissue components, such as conventional cranial T1, T2 sequences and T2 FLAIR sequences, which can provide a single frame of 512 × 512 pixel high-resolution images, but the sequences do not generally acquire a complete cranial image, so that a complete cranial geometric and physical model cannot be established during modeling; the invention selects the OAx DWI Asset axial diffusion weighted imaging sequence of the single frame 256 pixels by 256 collected complete cranial image, and actually, the calculation precision of the 256 pixels by 256 pixels can completely distinguish the skull, the cerebrospinal fluid, the gray matter and the white matter, thereby meeting the requirement of physical modeling.
An image segmentation module 102, configured to segment the target brain image according to the physiological tissue;
the brain magnetic resonance imaging method comprises the following steps of generating and dividing four physiological tissues such as a skull, a grey brain matter, a white brain matter, a cerebrospinal fluid and the like according to a skull brain magnetic resonance image of a patient;
the image reconstruction module 103 is used for constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
wherein the electrical parameters are relative dielectric constant and conductivity.
The multi-physical-field simulation module 104 is used for carrying out finite element simulation calculation on stimulation parameters of the body surface stimulation channels on the basis of the anatomical structure electrical model under the condition that suprathreshold stimulation of the brain target region is met;
when multi-physical-field simulation calculation is carried out, multi-physical-field simulation is carried out by using a finite element model;
the essence of the calculation of the electric field distribution of the craniocerebral region under the condition of external electric stimulation is to solve Maxwell equations in a medium consisting of various biological tissues. Namely:
·D=ρ
·B=0
Figure BDA0003200900450000071
Figure BDA0003200900450000072
at the same time, in each tissue medium, the constitutive relation of the tissue medium must be satisfied between the field quantities, i.e. in a homogeneous, isotropic medium:
D=εE;
B=μH;
J=σE
so as to obtain a defined form of maxwell's equations:
·(εE)=ρ
·(μH)=0
Figure BDA0003200900450000073
Figure BDA0003200900450000081
where ρ is the charge density (C/m)3) And epsilon represents a dielectric constant, mu represents a magnetic permeability, sigma represents a conductivity (S/m), and in the inhomogeneous medium, the boundary value relation of an electromagnetic field on an interface is considered, and the electromagnetic field value of any point in space at any time is solved by using the initial condition of the field quantity when t is 0.
The parameter optimization module 105 is configured to optimize the stimulation parameters obtained through the simulation calculation to obtain minimum stimulation current parameters;
firstly, calculating the magnitude of stimulating current in a target area of a deep brain nucleus (hippocampus and amygdala areas) when the surface stimulating current of the cranium is given; the stimulation current on the surface of the cranium is set to change from 0 to 400mA, 10mA is taken as a stepping value, the surface current density in the target area of the corresponding deep nuclei of the brain (hippocampus and amygdala areas) is calculated every time the stimulation current is set, the size of the cross section is calculated according to the radius of the cross section of the nuclei, and then the stimulation current passing through the cross section is obtained and recorded. After the fact that the stimulation current on the surface of a certain cranium can induce the epileptic seizure of the nucleus tissue is determined, the stimulation current passing through the nucleus cross section corresponding to the set stimulation current value is recalculated by taking the cranium body surface stimulation current +/-5 mA as a range and 1mA as a stepping value, and therefore the minimum cranium surface stimulation current exceeding the threshold value of the epileptic seizure of the nucleus is obtained with the accuracy of 1 mA.
And the stimulation electrode module 106 is configured to generate corresponding electroconvulsive stimulation according to the received minimum stimulation current parameter.
The device is provided with a plurality of independent stimulation channels, 3 are taken as an example in the preferred embodiment, optimized lower minimum stimulation currents are applied to the surface of the cranium through different stimulation channels at different parts, the stimulation currents simultaneously act on a target area of the brain, suprathreshold electrical stimulation is formed by superposing the stimulation currents on the target area, and the device replaces the existing device which directly forms suprathreshold electrical stimulation on the target area by applying a single stronger current stimulation channel only through the same part, so that the stimulation current flowing through each stimulation channel is reduced on the basis of maintaining the original stimulation effect, and the aim of reducing the cognitive side effect is fulfilled. In particular use, as shown in fig. 4, a first pair of stimulation electrodes is located on temporalis acupoints on both sides of the temporal lobe; the second pair of electrodes is positioned at five points on two sides of bregma; the third pair of additional electrodes is located near the back fontanel at the collaterals.
The method is not based on experience to select the magnitude of the stimulation current, but is based on the individual encephalic brain magnetic resonance image of the patient to establish an electrical model, accurately calculates the minimum injury stimulation current applied to each stimulation channel on the body surface when the suprathreshold stimulation of the brain amygdala target region is caused, and realizes the conversion from extensive experience therapy to accurate quantitative therapy; meanwhile, the suprathreshold stimulation is formed by superposing the multi-channel electroconvulsive stimulation on the brain amygdala target area, the traditional mode that the single-channel electroconvulsive stimulation is directly applied to the suprathreshold stimulation of the target area is replaced, and as shown in figure 5, the current density distribution generated by different stimulation channel numbers is realized during the multi-channel electroconvulsive therapy. Obviously, when the amygdala reaches the stimulation threshold, the stimulation current per stimulation channel is reduced along with the increase of the number of channels, so that the stimulation current per channel of 191.38 +/-64.79 mA in the single channel can be reduced to 163.16 +/-55.87 mA in the double channel in the preferred example; the stimulating current of each channel in three channels is 146.73 +/-51.97 mA; and the three have significant difference (p is less than or equal to 0.0001), although the sum of the multi-channel stimulation current is possibly higher than the single-channel stimulation current, the current on each stimulation path is obviously lower than the single-channel stimulation current, the tissue activation volume of the stimulation paths is reduced on the premise of not influencing the treatment effect, and the possibility of occurrence of cognitive side effect is reduced.
Example 2
On the basis of the example 1, the invention also comprises a vital sign monitoring module which is used for receiving the photoplethysmographic signal and the electroencephalogram signal of the patient and extracting the physiological indexes in the photoplethysmographic signal and the electroencephalogram signal for monitoring. So that the vital signs of the patient can be monitored in actual use.
When the device is used, before three independent stimulation channels are respectively driven to form multi-channel electroconvulsive stimulation, the photoelectric volume wave and the electroencephalogram signals detected by the photoelectric volume wave amplifier and the electroencephalogram amplifier are received to monitor vital signs. In a preferred embodiment of the present invention, the monitoring system further comprises a data acquisition module for acquiring the photoplethysmographic signal and the electroencephalographic signal of the patient and transmitting the signals to the vital sign monitoring module. The monitoring function of the device is realized through the complete process of data acquisition, transmission and display.
Example 3
Aiming at the practical situation that the monitoring equipment in the operation is complex and not practical, the monitoring equipment is often abandoned in the actual treatment; the electroconvulsive therapy device has larger volume and complex power supply, and is difficult to leave the current situation of physical therapy operating room for use. In yet another embodiment of the present invention, there is provided a multichannel electroconvulsive therapy system, as shown in fig. 2, including,
an image acquisition module 201, configured to acquire a brain image of a patient;
a server 202 for segmenting the brain image of the patient according to the physiological tissue; constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues; the device is used for carrying out multi-physical-field simulation calculation on stimulation parameters of a body surface stimulation channel based on an electrical structure model under the condition of satisfying suprathreshold stimulation of a brain target region; the stimulation parameter optimization module is used for optimizing the stimulation parameter obtained by simulation calculation to obtain a minimum stimulation current parameter; the system is used for sending the minimum stimulation current parameter to a plurality of corresponding user terminals;
the user end 203 is configured to receive the minimum stimulation current parameter, which is sent by the server and matched with the patient user end, and generate corresponding electroconvulsive stimulation through the multiple stimulation electrodes of the user end according to the received minimum stimulation current parameter.
The server is actually integrated with an image acquisition module 101, an image segmentation module 102, an image reconstruction module 103, a multi-physical-field simulation module 104 and a parameter optimization module 105 in the device; the system is placed in a physical therapy department of large and medium-sized mental health centers, the image acquisition modules 201 are respectively dispersed in the image centers of medical health institutions, so that the separation of all parts of the system is realized, communication equipment such as smart phones and tablet computers can be used as separation platforms, parameters which are optimized in advance are stored in the separation platforms, and patients who only carry the separation platforms and matched user terminals 203 as stimulation devices to enter communities and families and are inconvenient to hospitalize are dispersedly subjected to follow-up electroconvulsive therapy.
Meanwhile, the user side further comprises a data acquisition unit, wherein the data acquisition unit is used for receiving the photoelectric volume wave lead and acquiring the photoelectric volume wave signal of the patient, receiving the electroencephalogram signal of the patient acquired by the electroencephalogram lead, and transmitting the received photoelectric volume wave signal and the electroencephalogram signal to the server. And the vital sign monitoring device is used for receiving the photoelectric volume wave signals and the electroencephalogram signals sent by the user side and extracting physiological indexes in the photoelectric volume wave signals and the electroencephalogram signals for monitoring. This part is together with user 203, can realize with the separation of other two parts with portable carrying and use, and photoelectricity volume wave amplifier, brain electrical amplifier gather finger end or wrist photoelectricity volume wave respectively through photoelectricity volume wave lead, gather the EEG signal through brain electrical lead, monitor physiological parameters such as pulse rate, breathing, oxyhemoglobin saturation and heart rate variability and multichannel electroconvulsive therapy effect simultaneously, provide data for vital sign monitoring in the patient art.
In addition, in this embodiment, the number of the user terminals 203 can be three or more, which can rely on the existing internet or the internet of things, and one server 202 is used as a core, and the acquisition of the patient data is realized by using the plurality of acquisition modules 201, and then the plurality of patients are monitored and treated simultaneously through the corresponding user terminals 203, thereby greatly improving the flexibility and the adaptability of the system.
Example 4
If the system of the present invention is used in only one treatment room, the server of the system may be replaced with an upper computer, as shown in fig. 3.
The multichannel electroconvulsive therapy device comprises the following components:
component 01: and (4) an upper computer. The upper computer comprises 21-25 parts; wherein the content of the first and second substances,
the component 21: an image divider. Generating different tissue images segmented into four physiological tissues such as a skull, a grey brain matter, a white brain matter, a cerebrospinal fluid and the like according to a craniocerebral magnetic resonance image performed before a patient operation; wherein the component 21 influences a segmenter to use a 1.5T or 3.0T OAx DWI Asset axial diffusion weighted imaging sequence magnetic resonance image taken preoperatively by the patient;
component 22: an image reconstructor. Reconstructing a craniocerebral electrical structure model according to electrical parameters of different tissues such as the skull, the gray matter of the brain, the white matter of the brain, the cerebrospinal fluid and the like, specifically relative dielectric constant and conductivity;
wherein, in the component 22 image reconstructor image process, the relative permittivity and conductivity are obtained from actual measurement or experience: the relative dielectric constants of the skull, the grey brain matter, the white brain matter and the cerebrospinal fluid are 217030, 3906100, 1667700 and 109 respectively; the conductivities (S/m) were 0.0810, 2, 0.08918, 0.058093, respectively.
The parts 23: a multi-physical-field simulator. Performing multi-physical field simulation by using a finite element model, and simulating and calculating stimulation parameters such as stimulation current of a body surface stimulation channel under the condition of satisfying suprathreshold stimulation of a brain target region;
wherein, the component 23 is a multi-physical-field simulator, and when the suprathreshold stimulation is formed at the amygdala position of the craniocerebral target area, the suprathreshold stimulation threshold of the amygdala is obtained by actual measurement or experience: about 500 uA.
Component 24: and a parameter optimizer. The stimulation parameters are calculated and optimized, the stimulation parameters such as the number of stimulation channels and the intensity of stimulation current are optimized, the minimal damage stimulation parameters are generated, and then the minimal damage stimulation parameters are transmitted to the component 02 data acquisition card in a wired or wireless mode;
the member 25: vital sign monitor. Electroencephalogram signals and photoplethysmographic signals acquired by the component 02 data acquisition card are displayed on a monitoring screen in a wired or wireless mode, and physiological indexes such as heart rate, respiration, blood oxygen saturation, heart rate variability and the like in the monitoring screen are extracted to monitor vital signs of a patient in an operation;
component 02: a data acquisition card. The stimulation signals are transmitted to a component 02 data acquisition card in a wired or wireless mode to be driven; meanwhile, a vital sign monitor in the upper computer displays the electroencephalogram signal and the photoplethysmographic signal acquired by the component 02 data acquisition card on a monitoring screen in a wired or wireless mode, and extracts physiological indexes such as heart rate, respiration, blood oxygen saturation, heart rate variability and the like for monitoring vital signs of a patient in operation. Specifically, the optimal minimum injury current stimulation parameters transmitted by an upper computer of the component 01 are received in a wired or wireless mode, and three independent stimulation channels of the components 06, 07 and 08 are respectively driven to form multi-channel electroconvulsive stimulation; meanwhile, receiving the photoelectric volume waves and the electroencephalogram signals detected by a photoelectric volume wave amplifier 04 and an electroencephalogram amplifier 05 and transmitting the photoelectric volume waves and the electroencephalogram signals back to an upper computer 01;
and (3) assembly 03: high energy density lithium ion batteries. Providing power supply for other components except the upper computer of the component 01; in particular, corresponding energy supplies are provided for the stimulation outputs of the three stimulation channels of the assembly 06, 07, 08;
and (3) a component 04: photoelectric volume wave amplifier. Collecting finger end or wrist photoelectric volume waves through a component 09 photoelectric volume wave lead, simultaneously monitoring pulse rate, respiration, blood oxygen saturation, heart rate variability and other physiological parameters, sending the physiological parameters to a component 02 data acquisition card and sending the physiological parameters back to a component 01 upper computer, and providing data for monitoring vital signs of a patient in an operation;
component 05: an electroencephalogram amplifier. The electroencephalogram signals are collected through the 10 electroencephalogram leads of the component, and the multichannel electroconvulsive therapy effect is monitored. Monitoring whether epileptic electroencephalogram attacks are induced after stimulation, and judging whether electrical stimulation is effective or not by taking the epileptic electroencephalogram attacks as an indication;
component 06, 07, 08: the three stimulation channels are completely the same and mutually independent and are used for receiving output signals of the data acquisition card, generating electroconvulsive stimulation, respectively transmitting the electroconvulsive stimulation to the components 11, 12 and 13, the stimulation electrode 1, the stimulation electrode 2 and the stimulation electrode 3, sending low-intensity minimum stimulation current to the craniocerebrum of a patient, superposing and combining the low-intensity minimum stimulation current on a target area to generate suprathreshold stimulation, and inducing seizure of epileptic brain electricity so as to achieve the purpose of treatment;
the assembly 09: the photoelectric volume wave leads. The photoelectric volume wave amplifier is used for transmitting finger tip or wrist photoelectric volume wave signals to the component 04 so as to extract physiological information such as pulse rate, respiration, blood oxygen saturation, heart rate variability and the like in the photoelectric volume waves;
the assembly 10: and (4) brain electricity leads. The electroencephalogram detection module is used for detecting electroencephalogram signals of a patient and transmitting the electroencephalogram signals to the component 05 electroencephalogram amplifier so as to detect whether epileptic discharge exists in electroencephalogram;
the photoelectric volume wave amplifier 04 and the electroencephalogram amplifier 05 respectively collect finger tip or wrist photoelectric volume waves through the photoelectric volume wave lead 09, collect electroencephalogram signals through the electroencephalogram lead 10, simultaneously monitor physiological parameters such as pulse rate, respiration, blood oxygen saturation, heart rate variability and the like and multichannel electroconvulsive therapy effect, and provide data for monitoring vital signs in patient operation.
Assembly 11, 12, 13: the number of the stimulation electrodes is 3, which are identical and independent from each other. Used for delivering and transmitting the stimulation current generated by the three stimulation channels of the components 06, 07 and 08 to the cranium of the patient to complete the treatment process;
the device of the invention completes the calculation and optimization of stimulation parameters by an upper computer, does not adopt the traditional complex and expensive ECG and EMG sensing amplifiers to carry out the intra-operative monitoring, but adopts a photoelectric capacitance wave-accumulating sensing amplifier with simple and compact structure and high cost performance to cooperate with an EEG amplifier to carry out the MECT intra-operative monitoring, thereby not only increasing the number of the monitored physiological parameters, but also effectively reducing the complexity and the cost of the system and improving the reliability of the system;
the invention adopts a high-energy density lithium battery power supply mode instead of the traditional alternating current commercial power supply mode, so that the traditional single-channel electroconvulsive therapy which needs to be finished in a physical therapy operating room is evolved into community treatment activities which can be carried out everywhere in families and communities, the treatment application space and the use range are expanded, and the treatment coverage rate of mental diseases can be effectively improved.
In the preferred embodiment, the components 21-25 in the upper computer are integrated into a whole; namely: the image divider, the image reconstructor, the multi-physical-field simulator, the parameter optimizer and the vital sign monitor are integrated into a whole; the device is suitable for being used in large and medium-sized mental health centers in physical therapy departments, and one upper computer can be provided with a plurality of sets of stimulation devices to carry out treatment work synchronously.
Example 5
The invention further provides a server on the basis of example 3, comprising a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor realizes the following steps when executing the computer program,
acquiring a brain image of a patient;
segmenting the brain image according to the physiological tissues;
constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
under the condition of satisfying suprathreshold stimulation of a brain target region, carrying out multi-physical-field simulation calculation on stimulation parameters of a body surface stimulation channel based on an electrical model of an anatomical structure;
optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and sending the minimum stimulation current parameter to the plurality of stimulation electrodes for the plurality of stimulation electrodes to respectively generate corresponding electroconvulsive stimulation.
Example 6
The present invention further includes, on the basis of examples 3 and 5, a computer-readable storage medium having stored thereon a computer program which, when executed by the processor, implements the steps of,
acquiring a brain image of a patient;
segmenting the brain image according to the physiological tissues;
constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
carrying out finite element simulation calculation on stimulation parameters of a body surface stimulation channel based on an anatomical structure electrical model under the condition of satisfying suprathreshold stimulation of a brain target region;
optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and sending the minimum stimulation current parameter to the plurality of stimulation electrodes for the plurality of stimulation electrodes to respectively generate corresponding electroconvulsive stimulation.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A multi-channel electroconvulsive therapy device, comprising,
the image acquisition module is used for acquiring a brain image of a patient;
the image segmentation module is used for segmenting the brain image according to different physiological tissues;
the image reconstruction module is used for constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
the finite element simulation module is used for carrying out finite element simulation calculation on the stimulation parameters of the body surface stimulation channels on the basis of the electrical model of the anatomical structure under the condition that the suprathreshold stimulation of the brain target region is met;
the parameter optimization module is used for optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and the stimulation electrode module is used for generating corresponding electroconvulsive stimulation according to the received minimum stimulation current parameter.
2. The multichannel electroconvulsive therapy device according to claim 1, wherein the image segmentation module is specifically configured to segment the brain image into a skull, a gray brain matter, a white brain matter, and a cerebrospinal fluid according to a physiological tissue;
the image reconstruction module is specifically used for constructing an electrical model of the brain anatomical structure of the segmented brain image according to electrical parameters corresponding to the physiological tissues of the skull, the gray matter of the brain, the white matter of the brain and the cerebrospinal fluid; the electrical parameters are relative dielectric constant and conductivity.
3. The multichannel electroconvulsive therapy device according to claim 1, further comprising a driving unit for driving the electrodes, wherein the driving unit drives the plurality of stimulation electrodes according to the number of stimulation channels and the stimulation current intensity in the received minimum stimulation current parameter.
4. The multi-channel electroconvulsive therapy device of claim 1, further comprising a vital sign monitoring module for receiving the photoplethysmographic signal and the electroencephalographic signal of the patient and extracting physiological indexes from the photoplethysmographic signal and the electroencephalographic signal for monitoring.
5. The multi-channel electroconvulsive therapy device of claim 4, further comprising a data acquisition module for acquiring the photoplethysmographic signal and the electroencephalographic signal of the patient and transmitting the photoplethysmographic signal and the electroencephalographic signal to the vital sign monitoring module.
6. A multi-channel electroconvulsive therapy system, comprising,
the imaging device is used for acquiring brain images of the patient;
the server is used for segmenting the brain images of different patients according to the types of the physiological tissues; the electrical model is used for constructing the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues; the method is used for carrying out finite element simulation calculation on stimulation parameters of a body surface stimulation channel based on an electrical model under the condition of satisfying suprathreshold stimulation of a brain target region; the stimulation parameter optimization module is used for optimizing the stimulation parameter obtained by simulation calculation to obtain a minimum stimulation current parameter; the system is used for sending the minimum stimulation current parameter to different user terminals;
and the user side is used for receiving the minimum stimulation current parameter which is sent by the server and matched with the patient user side, and generating corresponding electroconvulsive stimulation through the plurality of stimulation electrodes of the user side according to the received minimum stimulation current parameter.
7. The multi-channel electroconvulsive therapy system as claimed in claim 6, wherein the user end further comprises a data acquisition unit for receiving the photoplethysmographic lead to acquire the photoplethysmographic signal of the patient, receiving the electroencephalogram lead to acquire the electroencephalogram signal of the patient, and transmitting the received photoplethysmographic signal and the electroencephalogram signal to the server.
8. The multi-channel electroconvulsive therapy system of claim 6, further comprising a vital sign monitoring device for receiving the photoplethysmographic signals and the electroencephalogram signals transmitted from the user terminal and extracting the physiological indexes from the photoplethysmographic signals and the electroencephalogram signals for monitoring.
9. A multi-channel electroconvulsive therapy server comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the processor implementing the following steps when executing the computer program,
acquiring a brain image of a patient;
segmenting the brain image according to the physiological tissues;
constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
carrying out finite element simulation calculation on stimulation parameters of a body surface stimulation channel based on an electrical model of an anatomical structure under the condition of satisfying suprathreshold stimulation of a brain target region;
optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and sending the minimum stimulation current parameter to the stimulation electrodes corresponding to the plurality of user terminals, wherein the stimulation electrodes of the plurality of user terminals are used for respectively generating corresponding electroconvulsive stimulation.
10. A multi-channel electroconvulsive therapy computer-readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when executed by the processor, implements the steps of,
acquiring a brain image of a patient;
segmenting the brain image according to the physiological tissues;
constructing an electrical model of the brain anatomical structure of the segmented brain image according to the electrical parameters corresponding to the physiological tissues;
carrying out finite element simulation calculation on stimulation parameters of a body surface stimulation channel based on an anatomical structure electrical model under the condition of satisfying suprathreshold stimulation of a brain target region;
optimizing the stimulation parameters obtained by simulation calculation to obtain minimum stimulation current parameters;
and sending the minimum stimulation current parameter to the stimulation electrodes corresponding to the plurality of user terminals, wherein the stimulation electrodes of the plurality of user terminals are used for generating corresponding electroconvulsive stimulation respectively.
CN202110904162.8A 2021-08-06 2021-08-06 Multi-channel electroconvulsive therapy device, system and server Pending CN113730801A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114870249A (en) * 2022-04-18 2022-08-09 北京理工大学 Closed-loop adaptive alternating current stimulation neural network regulation method and system
CN117339101A (en) * 2023-09-14 2024-01-05 南通大学 Deep brain electric stimulation system with multiple channels and multiple stimulation sources

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114870249A (en) * 2022-04-18 2022-08-09 北京理工大学 Closed-loop adaptive alternating current stimulation neural network regulation method and system
CN117339101A (en) * 2023-09-14 2024-01-05 南通大学 Deep brain electric stimulation system with multiple channels and multiple stimulation sources
CN117339101B (en) * 2023-09-14 2024-03-01 南通大学 Deep brain electric stimulation system with multiple channels and multiple stimulation sources

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