CN-121795928-B - Feedback type nerve rehabilitation equipment based on intracranial brain electrical signals

CN121795928BCN 121795928 BCN121795928 BCN 121795928BCN-121795928-B

Abstract

The invention belongs to the technical field of physiological electrical signals, and particularly relates to feedback type nerve rehabilitation equipment based on intracranial brain electrical signals, which decodes the brain electrical signals into training instructions to control a training peripheral to execute a training scheme, acquires signal effectiveness indexes according to the training instructions, unifies evaluation standards of brain electrical signal quality on rehabilitation results by taking the execution results of the training peripheral as standards, avoids differences among different tested and differences of the same tested at different stages, acquires training effectiveness indexes according to rehabilitation index signals, so that the feedback results are more objective, and patients or doctors can make effective regulation and control decisions in time.

Inventors

XU HONGLAI
GONG CHANGHUI
DONG ZEBIN
ZHANG XIRUI
QI MINCHAO

Assignees

博睿康技术(上海)股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260309

Claims (10)

1. A feedback nerve rehabilitation device, comprising: the system comprises a first acquisition module, a second acquisition module, training peripherals, a user side and a management side; the first acquisition module acquires intracranial brain electrical signals; The second acquisition module acquires a rehabilitation index signal; the management end sets a training scheme and corresponding expected results and sends the training scheme and the corresponding expected results to the user end; the user terminal is provided with a signal decoding module, a first data processing module, a second data processing module and a real-time feedback module; the signal decoding module decodes the electroencephalogram signals into training instructions to control the training peripheral equipment to execute a training scheme; the first data processing module acquires a signal effectiveness index according to a training instruction; the second data processing module acquires a training effectiveness index according to the rehabilitation index signal; the real-time feedback module acquires a feedback result according to the signal effectiveness index and the training effectiveness index, and the feedback result is fed back to the management end by the user end.
2. The feedback nerve rehabilitation device according to claim 1, wherein, The obtaining the feedback result comprises the following steps: The first-stage judgment is carried out, namely whether the signal effectiveness index meets a first threshold value is judged, if yes, the second-stage judgment is carried out, and if not, the feedback result is the adjustment equipment parameter; And judging whether the training effectiveness index meets a second threshold value or not in a second stage, if so, the feedback result is that the training scheme is kept, and if not, the feedback result is that the training scheme is adjusted.
3. The feedback nerve rehabilitation device according to claim 2, wherein, The adjusting equipment parameters comprises: judging the parameter, setting a hypothetical value of the parameter parameter, judging whether the parameter-adjusting pre-period result meets the requirement or not by utilizing the electroencephalogram signal before parameter adjustment, if so, entering parameter adjustment verification, and if not, feeding back equipment faults; and (3) parameter adjustment verification, namely setting an assumed value of the parameter adjustment parameter, executing a training scheme, judging whether the signal effectiveness index after parameter adjustment meets a first threshold value or whether the training effectiveness index after parameter adjustment meets a second threshold value, if so, setting the assumed value as a device parameter, and if not, keeping the device parameter unchanged.
4. The feedback nerve rehabilitation device according to claim 3, The parameter adjusting judgment comprises the following steps: Establishing a parameter adjustment evaluation model, and setting fixed parameters, a parameter adjustment parameter and output items of the model; Taking the assumed value of the parameter item as a model parameter of an evaluation model, and acquiring the numerical value of an output item based on the electroencephalogram signal before parameter adjustment; determining whether the value of the output item satisfies a third threshold value, wherein The fixed parameters comprise the channel position and the channel number of the implanted electrode; the output item is a capability evaluation value of a scheduling pre-period result, and the scheduling pre-period result is configured as at least one of a signal quality representation value of an effective channel, the number of channels of the effective channel and a signal effectiveness index.
5. The feedback nerve rehabilitation device according to claim 4, The parameter adjusting judgment further comprises a self-adjusting judgment and a distant adjusting judgment which are executed successively; The self-adjusting judgment is configured to set an assumed value of the tuning parameter by a user side by utilizing a tuning evaluation model and execute tuning verification, and the tuning parameter of the self-adjusting judgment is configured to be used in scenes including hospitals, families, rehabilitation centers and outdoors; the remote tone judgment is configured to set the assumed value of the tone parameter by the management end by using the tone parameter evaluation model and to execute tone parameter verification by the user end, and the tone parameter of the remote tone judgment comprises a usage scene, parameters of the signal acquisition module, parameters of the signal decoding module, channel positions and effective frequency bands.
6. The feedback nerve rehabilitation device according to claim 5, The first prompt module is positioned at the user side; the second prompting module is positioned at the management end; When the feedback result is that the equipment parameters are adjusted, the first prompting module prompts the user side to stop rehabilitation training and execute self-adjusting judgment preferentially, and the second prompting module prompts the management side to adjust the progress of the self-adjusting judgment; when the feedback result is that the training scheme is kept, the first prompt module does not process, and the second prompt module does not process; when the feedback result is that the training scheme is adjusted, the first prompting module prompts the user side to need a new training scheme, and the second prompting module prompts the management side to issue the new training scheme to the user side.
7. The feedback nerve rehabilitation device according to claim 2, wherein, The first data processing module obtains signal effectiveness indexes according to training instructions, and the first data processing module comprises: Establishing a database of effective instructions, namely taking a training instruction with a training result conforming to an expected result as an effective instruction; Acquiring equivalent values of the instructions, and respectively converting the effective instructions and the training instructions into corresponding equivalent values, namely effective equivalent and training equivalent; And taking the extreme value of the effective equivalent as the first threshold value.
8. A computer device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the steps of a rehabilitation training regulation method; the rehabilitation training regulation and control method comprises the following steps: acquiring intracranial brain electrical signals by using a first acquisition module; collecting a rehabilitation index signal by using a second collecting module; setting a training scheme by using a management terminal and sending an expected result to a user terminal; the electroencephalogram signals are decoded into training instructions by utilizing a signal decoding module so as to control the training peripheral equipment to execute a training scheme; Acquiring a signal effectiveness index according to a training instruction by using a first data processing module; Acquiring a training effectiveness index according to the rehabilitation index signal by using a second data processing module; and acquiring a feedback result by using a real-time feedback module according to the signal effectiveness index and the training effectiveness index, and feeding back the feedback result to the management end.
9. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of a rehabilitation training regulation method; the rehabilitation training regulation and control method comprises the following steps: acquiring intracranial brain electrical signals by using a first acquisition module; collecting a rehabilitation index signal by using a second collecting module; setting a training scheme by using a management terminal and sending an expected result to a user terminal; the electroencephalogram signals are decoded into training instructions by utilizing a signal decoding module so as to control the training peripheral equipment to execute a training scheme; Acquiring a signal effectiveness index according to a training instruction by using a first data processing module; Acquiring a training effectiveness index according to the rehabilitation index signal by using a second data processing module; and acquiring a feedback result by using a real-time feedback module according to the signal effectiveness index and the training effectiveness index, and feeding back the feedback result to the management end.
10. A computer program product comprising a computer program, characterized in that the computer program when executed by a processor implements the steps of a rehabilitation training regulation method; the rehabilitation training regulation and control method comprises the following steps: acquiring intracranial brain electrical signals by using a first acquisition module; collecting a rehabilitation index signal by using a second collecting module; setting a training scheme by using a management terminal and sending an expected result to a user terminal; the electroencephalogram signals are decoded into training instructions by utilizing a signal decoding module so as to control the training peripheral equipment to execute a training scheme; Acquiring a signal effectiveness index according to a training instruction by using a first data processing module; Acquiring a training effectiveness index according to the rehabilitation index signal by using a second data processing module; and acquiring a feedback result by using a real-time feedback module according to the signal effectiveness index and the training effectiveness index, and feeding back the feedback result to the management end.

Description

Feedback type nerve rehabilitation equipment based on intracranial brain electrical signals Technical Field The invention belongs to the technical field of physiological electrical signals, and particularly relates to feedback type nerve rehabilitation equipment based on intracranial brain electrical signals. Background The BCI rehabilitation means based on intracranial brain electrical signals usually comprises the steps that a patient uses a 2D plane such as a computer screen and the like as visual prompts or visual feedback in a hospital or a rehabilitation center according to a training scheme, acquires electrophysiological signals of the cerebral cortex of the subject by means of intracranial electrodes, translates the signals into control instructions by means of a signal decoding model, and performs training tasks by means of training peripherals. Therefore, the BCI rehabilitation means has lower requirements on rehabilitation equipment, for example, for arm dyskinesia caused by spinal cord injury, the training peripheral equipment can be a flexible wearable glove robot controlled by instructions, and the robot is worn on hands of a trainer, so that a foundation is provided for a patient to perform rehabilitation training at home and outdoors. In the related art, a doctor generally formulates a training scheme according to the condition of a patient, including information such as a training task, a training pattern, training time and the like, and sends the information to a user side on line or off line, the patient and family members thereof arrange the training time and training places at the user side according to personal conditions, and then the doctor and the patient measure comprehensive physiological indexes of the patient at about regular intervals to evaluate the rehabilitation effect and the adaptation degree of the current training scheme. But the problems of incomplete monitoring or untimely treatment of the potential safety hazard can also occur in the rehabilitation treatment process. For example, patent CN118919042a discloses a multifunctional rehabilitation device in the specification, where the control module is configured to send an alarm or alert to a user by controlling the voice alert module, and when the data analysis module detects a potential safety hazard, automatically adjust parameters and modes of the rehabilitation device according to the result of the data analysis module, and support to remotely control the operation state and setting of the rehabilitation device, so as to respond to the changing treatment requirement and real-time data. However, the technical scheme does not specifically describe how to solve the objective physiological structure difference between different tested objects and the state difference of the same tested object in different stages, and on the premise of lacking big data support, the reliability of analysis results and remote automatic parameter adjustment is to be verified. Disclosure of Invention The invention provides feedback type nerve rehabilitation equipment based on intracranial brain electrical signals, which is used for verifying the reliability of feedback results. The invention provides feedback type nerve rehabilitation equipment, which comprises a first acquisition module, a second acquisition module, a training peripheral, a user side and a management side, wherein the first acquisition module acquires intracranial brain signals, the second acquisition module acquires rehabilitation index signals, the management side sets a training scheme and an expected result thereof and transmits the training scheme and the expected result to the user side, the user side is provided with a signal decoding module, a first data processing module, a second data processing module and a real-time feedback module, the signal decoding module decodes the brain signals into training instructions to control the training peripheral to execute the training scheme, the first data processing module acquires signal effectiveness indexes according to the training instructions, the second data processing module acquires training effectiveness indexes according to the rehabilitation index signals, and the real-time feedback module acquires feedback results according to the signal effectiveness indexes and the training effectiveness indexes and feeds the feedback results back to the management side. Further, the feedback result obtaining comprises a first-stage judgment, namely judging whether the signal effectiveness index meets a first threshold value, if yes, entering a second-stage judgment, if not, enabling the feedback result to be an adjustment device parameter, and if not, judging whether the training effectiveness index meets a second threshold value, if yes, enabling the feedback result to be a maintenance training scheme, and if not, enabling the feedback result to be an adjustment training scheme. Further, the device parameter adjustment compris