An adaptive adjustment cap and system for electroencephalogram acquisition

Abstract

The application discloses a kind of adaptive adjustment cap and system for electroencephalogram acquisition, it is related to medical instrument technical field, including synchronous acquisition module, rhythm identification module, drift analysis module, adjustment trigger module and phase adjustment module: synchronous acquisition module, in electroencephalogram acquisition process, each partition air pressure variation process and electrode position change process are synchronously collected, and corresponding time sequence change record is formed according to uniform time scale, and the air pressure variation rate result of each partition is calculated and formed, and the air pressure variation rate result of each partition is recorded in the tail of time sequence change record.The application synchronously collects air pressure variation and electrode position data by uniform time scale, identifies partition rhythm difference and is associated with spatial deviation, generates drift identification in advance, realizes abnormal positioning;Meanwhile, by phase reverse progression and alternate staggered peak adjustment, reconstruct air pressure variation rhythm, restore overall contraction consistency, stabilize electrode spatial position, guarantee brain area positioning accuracy and electroencephalogram signal analysis reliability.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, specifically to an adaptive adjustment cap and system for electroencephalogram (EEG) acquisition. Background Technology

[0002] The adaptive adjustment cap system for electroencephalogram (EEG) acquisition is an integrated EEG acquisition device designed for EEG signal acquisition and brain-computer interface applications. It integrates a malleable cap structure, a pressure adjustment mechanism, and an EEG signal acquisition unit. The system features a closed-cavity cap made of double-layered flexible material, connected to an external negative pressure device via an air extraction port. This allows the cap to actively conform to the three-dimensional curvature of the user's skull based on changes in internal air pressure. Furthermore, the cap cavity can be optionally divided into multiple independent or semi-independent regions, with zoned air pressure adjustment for the frontal, parietal, and occipital regions. Differential pressure is applied to the temporal region to achieve precise control over the contact state of the electrode pads, ensuring that each electrode pad presses stably against the scalp and reduces contact resistance while also ensuring wearing comfort. Each electrode pad is connected to the EEG signal acquisition device through sensor wires, forming a complete EEG signal acquisition pathway, providing high-quality signal input for brain-computer interface command interpretation. The negative pressure generating device and the zone control unit constitute the cap fit adjustment subsystem, which works in conjunction with the EEG acquisition device to form an EEG acquisition system that can adaptively adjust the physical structure according to the user's head shape characteristics and support the stable operation of brain-computer interface.

[0003] The existing technology has the following shortcomings:

[0004] In existing technologies, EEG collection caps of two predetermined sizes, X and L, are conventionally used based on the size of the skull of the person being collected. However, these caps often fail to fit snugly against the skull during actual collection, leading to data distortion or collection failure due to excessive impedance. This significantly prolongs the overall collection time. Furthermore, other existing pneumatically adjustable caps, when dynamically adjusting the air pressure in different zones, are prone to imbalance due to varying pressure change rates. This can result in one side contracting first while the other contracts later, causing asymmetrical torsional deformation. With the continuous accumulation of this asymmetrical deformation, the electrode positions fixed to the cap are prone to overall displacement. Electrodes originally positioned according to standard brain regions may deviate from their predetermined spatial coordinates, leading to systematic errors in brain region localization. These deviations are often not immediately noticeable but can cause inconsistencies between the collected EEG signals and the actual corresponding brain regions, easily affecting the accuracy of subsequent brain region functional analysis results.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide an adaptive adjustment cap and system for electroencephalogram (EEG) acquisition, in order to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an adaptive adjustment cap system for electroencephalogram (EEG) acquisition, comprising a synchronous acquisition module, a rhythm recognition module, a drift analysis module, an adjustment trigger module, and a phase adjustment module:

[0008] The synchronous acquisition module synchronously acquires the process of air pressure change and electrode position change in each zone during the EEG acquisition process, and forms a corresponding time series change record according to a unified time scale. It calculates the air pressure change rate result of each zone and records the air pressure change rate result of each zone at the end of the time series change record.

[0009] The rhythm recognition module compares the adjustment rhythm of each zone with the results of the air pressure change rate of each zone in time sequence, determines the time segments where the air pressure change rate has different order, and generates an asymmetric change marker at the end of the time segment.

[0010] The drift analysis module retrieves electrode position change data within the corresponding time segment based on the asymmetric change identifier, performs continuous analysis on the electrode position change data to obtain the overall offset direction and offset amplitude, forms a continuous offset trajectory, and generates a position drift identifier at the end of the continuous offset trajectory.

[0011] The adjustment trigger module determines the time range in which the brain region correspondence shifts based on the position drift marker, extracts the rhythm arrangement of each partition from the time range, and establishes a rhythm adjustment entry at the end of the time range.

[0012] The phase adjustment module adjusts the rate of change of air pressure in each zone in reverse phase around the rhythm adjustment inlet. It performs delayed advance control on the early contraction section and advance control on the late contraction section. By alternating peak staggering adjustment, it restores the overall contraction consistency and stabilizes the spatial position of the electrodes.

[0013] Preferably, the steps for obtaining the air pressure change rate results for each zone are as follows:

[0014] In the EEG acquisition initiation phase, a unified time scale framework is established, and the air pressure change process recording unit and the electrode position change process recording unit are simultaneously triggered to enter the working state, forming a unified time marker sequence.

[0015] Based on a unified time identifier sequence, the data on the process of air pressure change and the process of electrode position change in each zone are continuously recorded and arranged in parallel to form a multi-zone synchronous time series change record.

[0016] The pressure change between adjacent time markers is extracted from the synchronous time series change records of multiple zones, and the pressure change rate value is calculated by combining the corresponding time interval to generate a zone pressure change rate sequence.

[0017] The regional air pressure change rate sequences are aggregated to the end of the time series change record according to a unified time identifier order, forming a comprehensive time series change record that includes the air pressure change process, the electrode position change process, and the air pressure change rate result.

[0018] Preferably, the steps for generating asymmetric change identifiers are as follows:

[0019] The results of the air pressure change rate of each zone are expanded in time sequence according to a unified time scale. The air pressure change rate values ​​of each zone corresponding to each time mark are arranged side by side and divided into continuous time segments to form a time series comparison table of air pressure change rate of multiple zones.

[0020] By comparing the results of the rate of change of air pressure in each zone within a continuous time period, and sorting them by the start time and end time of the change, a time series of multi-zone regulation rhythm is formed.

[0021] Based on the continuous analysis of the time series of multi-zone regulation rhythm, the time segments in which the rate of air pressure change differs are identified, and the start and end time markers of the time segments are recorded.

[0022] An asymmetric change marker is generated at the end of the time segment where the rate of air pressure change differs, and the asymmetric change marker is then bound to the time series of the multi-zone adjustment rhythm.

[0023] Preferably, the time segments where the rate of air pressure change differs are determined by statistically analyzing the time offset between the start and end times of the rhythm. The time offset remains consistent within the range of continuous time markers and is associated with the corresponding multi-zone adjustment rhythm time series. The asymmetric change marker includes the time segment end time marker and rhythm time sequence information.

[0024] Preferably, the steps for generating the position drift marker are as follows:

[0025] Based on the asymmetric change identifier, retrieve the electrode position change data within the corresponding time segment, and form a set of electrode position change time series according to the unified time identifier order;

[0026] A continuous analysis is performed on the time series of electrode position changes. The spatial positions of the electrodes under each time marker are compared and a spatial displacement sequence is formed. The time-progressive changes in the overall offset direction and the overall offset magnitude are obtained.

[0027] Based on the time-progressive changes in the overall offset direction and overall offset magnitude, a continuous offset trajectory is formed by connecting them continuously, and the continuous offset trajectory is associated with the start and end time markers of the corresponding time segment.

[0028] A position drift marker is generated at the end of the continuous offset trajectory, and the position drift marker is bound to the overall offset direction, the overall offset magnitude, and the corresponding time segment.

[0029] Preferably, the time series set of electrode position changes around the time segment corresponding to the asymmetric change marker is used as a reference to decompose and integrate the spatial position of the electrode under each time marker in terms of direction. Based on the integration result, the overall offset direction and the overall offset magnitude are determined and written into the position drift marker.

[0030] Preferably, the steps for establishing the rhythm adjustment entry are as follows:

[0031] Based on the position drift marker, the continuous time range consisting of the start time marker of the asymmetric change marker to the end time marker of the position drift marker is determined, and the time range in which the brain region correspondence shifts is determined by combining the correspondence between the continuous offset trajectory and the standard spatial coordinates of the brain region.

[0032] The results of the rate of change of air pressure in each region and the time series of the regulation rhythm of each region were retrieved under a unified time scale around the time range in which the correspondence between brain regions shifted, and then rearranged according to the time label order.

[0033] A rhythmic arrangement recording sequence is formed based on the rearranged rhythmic time series of each region, and the rhythmic arrangement recording sequence is bound to the time range in which the correspondence between brain regions shifts.

[0034] A rhythm adjustment entry point is established at the end time marker of the time range where the brain region correspondence shifts, and the rhythm adjustment entry point is associated with the position drift marker and the rhythm arrangement recording sequence.

[0035] Preferably, the time range of the shift in the correspondence between brain regions is determined by the mapping of the continuous shift trajectory to the standard spatial coordinates of the brain regions. The rhythm arrangement recording sequence includes the temporal order of the start time and end time of the rhythm of each region. The rhythm adjustment entry is synchronously associated with the overall shift direction and the overall shift amplitude information.

[0036] Preferably, the pressure change rate of each zone is adjusted in a phase-reverse progressive manner around the rhythm adjustment inlet, with delayed advance control implemented for the leading contraction zone and advanced advance control implemented for the lagging contraction zone, and the alternating peak-shifting adjustment steps are as follows:

[0037] Based on the rhythm, adjust the inlet and unfold the pressure change rate sequence of each zone after the corresponding time mark, and combine the rhythm arrangement record sequence to determine the leading contraction zone and the lagging contraction zone;

[0038] By adjusting the entry point around the rhythm, delayed advance control is implemented for the initial contraction section, and advanced advance control is implemented for the lagging contraction section, thus forming a new time arrangement relationship of pressure change rate;

[0039] Based on the new time arrangement of air pressure change rates, the air pressure change rates of each zone are alternately staggered to form an alternating time series.

[0040] By combining position drift markers to continuously maintain the time series of alternating advances, the overall contraction consistency is restored and the spatial position of the electrodes is stabilized.

[0041] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0042] This invention achieves full-process identification and spatial offset correlation analysis of regional regulation rhythm differences by synchronously acquiring the air pressure change process and electrode position change process of each region under a unified time scale, and extracting the air pressure change rate results from the unified time series. This enables the time sequence comparison results of air pressure change rate to form a one-to-one correspondence with the overall electrode offset trajectory, thereby completing the rhythm abnormality localization and spatial drift identification generation when asymmetric changes are still in the formation stage. This effectively suppresses the overall electrode offset problem caused by contraction rhythm differences, ensures the stable maintenance of brain region correspondence during dynamic regulation, and improves the consistency between EEG signal acquisition results and actual brain region spatial location.

[0043] This invention implements phase-reverse progressive adjustment around the rhythm adjustment entry point, performs delayed advancement control on the early contraction segment, and performs advanced advancement control on the lagging contraction segment. By alternating peak-shifting adjustment, it reconstructs the temporal arrangement relationship of the air pressure change rate of each zone, so that the overall contraction process is synchronously advanced in the time dimension. This restores the overall force balance, stabilizes the spatial position of the electrodes, avoids continuous deviation in brain region localization, ensures the spatial correspondence accuracy of EEG signals throughout the acquisition process, and improves the reliability of subsequent brain region functional analysis results. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0045] Figure 1This is a schematic diagram of an adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to the present invention. Detailed Implementation

[0046] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0047] This invention provides, for example Figure 1 The adaptive modulation cap and system shown include a synchronous acquisition module, a rhythm recognition module, a drift analysis module, a modulation trigger module, and a phase modulation module.

[0048] The synchronous acquisition module synchronously acquires the process of air pressure change and electrode position change in each zone during the EEG acquisition process, and forms a corresponding time series change record according to a unified time scale. It calculates the air pressure change rate result of each zone and records the air pressure change rate result of each zone at the end of the time series change record.

[0049] To achieve synchronous acquisition of pressure change processes and electrode position changes in each zone using a unified time reference, and to generate time series change records and pressure change rate results under a unified time scale, the specific implementation steps are as follows:

[0050] During the EEG acquisition initiation phase, a unified time scale framework is established around the pressure change process and electrode position change process of each zone. At the same moment the EEG acquisition begins, the pressure change process recording unit and the electrode position change process recording unit are triggered to enter synchronous working state, so that the pressure change process data and electrode position change process data of each zone are continuously recorded from the same time starting point. During continuous recording, a continuous time marker sequence is set for the pressure change process of each zone, and a corresponding time marker sequence is synchronously added to the electrode position change process, so that the pressure change process data and electrode position change process data of each zone form a one-to-one correspondence on the time axis. The time markers are kept to advance continuously within the recording period, and no non-continuous time periods are inserted, thereby ensuring that the pressure change process and electrode position change process form a strictly aligned original time series change data set under the unified time scale.

[0051] After obtaining the original time series change data set under a unified time scale, the air pressure change process data of each region are continuously organized according to the time identifier order. The air pressure change data corresponding to the same time identifier and the electrode position change data are arranged in parallel to form a multi-region synchronous time series change record. In the multi-region synchronous time series change record, a continuous time difference segment is established for the air pressure change process data of each region. The air pressure value change between adjacent time identifiers is matched with the corresponding time interval, so that the air pressure change process presents a continuous and progressive change trajectory in the time dimension. In the above organization process, the electrode position change data and the air pressure change data are kept synchronously arranged under the same time identifier, laying a unified time reference foundation for subsequent processing of the air pressure change rate results.

[0052] After the multi-partition synchronized time series change record is completed, the pressure change amount between adjacent time markers is extracted segment by segment based on the continuous data of the pressure change process of each partition under a unified time scale, and the pressure change rate value of each partition in the corresponding time segment is calculated in combination with the corresponding time interval. In the process of forming the pressure change rate value, the pressure change rate of each time segment is bound to the corresponding time marker to form a partition pressure change rate sequence. While generating the partition pressure change rate sequence, the electrode position change data and the pressure change rate sequence are kept on the same time axis, so that the pressure change rate in any time segment can be directly associated with the electrode position change data corresponding to that time segment. Through the continuous time segment progressive method, the calculation of the pressure change rate of each partition is completed segment by segment, so that the pressure change rate results form a complete arrangement at the end of the time series change record.

[0053] After calculating the rate of change of air pressure across all time intervals, the air pressure rate sequences of each region are aggregated at the end of the time series change record according to a unified time identifier, forming a comprehensive time series change record that includes the original air pressure change process, the electrode position change process, and the air pressure rate result. In the comprehensive time series change record, the air pressure rate result of each region maintains a time correspondence that is completely consistent with the original air pressure change process data and the electrode position change data, so that the corresponding region's air pressure change value, electrode position change status, and air pressure rate result can be read simultaneously under any time identifier. Through the above-mentioned process of unifying the continuous time scale, synchronizing the arrangement, extracting the rate segment by rate, and integrating at the end, the air pressure rate results of each region are formed in a unified time reference manner, providing a stable time basis and continuous change basis for subsequent regional regulation rhythm comparison and asymmetric change identification based on the air pressure rate results.

[0054] The rhythm recognition module compares the adjustment rhythm of each zone with the results of the air pressure change rate of each zone in time sequence, determines the time segments where the air pressure change rate has different order, and generates an asymmetric change marker at the end of the time segment.

[0055] To achieve a time-series comparison of the adjustment rhythm of each zone based on the results of the air pressure change rate in each zone, and to identify the time segments where the air pressure change rate differs sequentially, and to generate an asymmetric change marker at the end of the time segment, the specific implementation steps are as follows:

[0056] Based on the established results of air pressure change rates for each region and the unified time scale arrangement, the results of air pressure change rates for each region are expanded chronologically according to the unified time scale. The air pressure change rate values ​​for each region corresponding to each time marker are arranged side by side to form a multi-region air pressure change rate time series comparison table. In this multi-region air pressure change rate time series comparison table, the time markers of the air pressure change rate results for each region are kept completely consistent, so that the air pressure change rate values ​​of all regions at the same time node can be read simultaneously under any time marker. Subsequently, based on the unified time marker, the air pressure change rate results for each region are divided into continuous time periods. The time series is divided into several continuous time segments according to fixed time intervals, so that each time segment contains complete multi-region air pressure change rate data, thereby providing clear time segment boundaries and continuous change ranges for subsequent time sequence comparison.

[0057] After forming continuous time intervals, the pressure change rate results for each zone within each time interval are compared temporally. The starting time, peak time, and ending time of the pressure change rate values ​​for each zone within that time interval are sorted temporally, presenting the regulation rhythm of each zone in chronological order. In this temporal sorting process, the starting time of the pressure change rate for each zone is taken as the rhythm starting point, and the time when the pressure change rate reaches a stable state is taken as the rhythm ending point, thus forming a multi-zone regulation rhythm time sequence within a unified time interval. Subsequently, the regulation rhythm time sequences of different zones are compared horizontally by comparing the order of the rhythm starting point and the order of the rhythm ending point for each zone within the same time interval, forming a temporal comparison result, ensuring that the multi-zone regulation rhythms within each time interval have a clear temporal arrangement relationship.

[0058] After the time sequence comparison results are generated, continuous analysis is performed to identify inconsistencies in the start or end times of rhythms within the same time interval. Time intervals with differences in the start and end times of rhythms are marked as candidate time intervals. Within these candidate time intervals, the time offset between the pressure change rates of each zone is further calculated. Candidate time intervals with persistent time offsets that span consecutive time markers are confirmed as time intervals with differences in the rate of pressure change. After confirming time intervals with differences in the rate of pressure change, the start and end times of these time intervals are recorded, and these time intervals are associated with and stored in relation to the corresponding multi-zone regulation rhythm time series, ensuring that each time interval with a difference corresponds to a clear regulation rhythm arrangement.

[0059] After confirming the time segments where the rates of pressure change differ, an asymmetric change marker is generated at the end of each confirmed time segment. This asymmetric change marker is then bound to the start and end time markers of the corresponding time segment, as well as the time sequence of the multi-zone adjustment rhythm. This ensures that the asymmetric change marker not only indicates the end of the time segment but also carries the temporal sequence information of the differences in the rates of pressure change within that time segment. During the generation of the asymmetric change marker, it is kept completely consistent with the unified time scale, allowing subsequent processing stages to directly locate the corresponding time segment and retrieve the complete results of the rates of pressure change and the arrangement of the adjustment rhythms. Through the above process of dividing the time segments, comparing the time sequence, confirming the differences in the rates of change, and generating the asymmetric change marker around the unified time scale, the temporal arrangement of the adjustment rhythms in each zone is clearly presented. This provides a precise time entry and continuous time basis for subsequently retrieving electrode position change data within the corresponding time segment based on the asymmetric change marker.

[0060] The drift analysis module retrieves electrode position change data within the corresponding time segment based on the asymmetric change identifier, performs continuous analysis on the electrode position change data to obtain the overall offset direction and offset amplitude, forms a continuous offset trajectory, and generates a position drift identifier at the end of the continuous offset trajectory.

[0061] To achieve in-depth processing of electrode position change data around asymmetric change markers, and to obtain the overall offset direction and offset amplitude, as well as to form continuous offset trajectories and position drift markers, the specific implementation steps are as follows:

[0062] Based on the established asymmetric change identifiers and their binding with corresponding time segments, all electrode position change data within the corresponding time segment are retrieved from the electrode position change data under a unified time scale, according to the start and end time identifiers of the time segment indicated by the asymmetric change identifiers. This ensures that the retrieved electrode position change data is completely consistent with the asymmetric change identifiers in terms of time range. During the retrieval process, electrode spatial coordinate data within consecutive time periods are extracted sequentially using the time identifiers as indices. The spatial positions of each electrode within that time segment are arranged according to the unified time identifier order, forming a set of electrode position change time series. Simultaneously, the electrode position change time series set and the air pressure change rate results corresponding to the asymmetric change identifiers are kept within the same time axis framework. This ensures that subsequent analysis of the electrode position change data is always based on time segments where differences in air pressure change rates have been confirmed, thereby guaranteeing consistency in the time dimension and the integrity of data association.

[0063] After obtaining the time series set of electrode position changes corresponding to the asymmetric change markers, the time series set is continuously analyzed and processed. Taking the progressive order of the time markers as the main line, the spatial position of each electrode under each time marker is compared with the spatial position corresponding to the starting time marker of the time segment, forming a time-progressive spatial displacement sequence. In the process of forming the spatial displacement sequence, the spatial displacement of each electrode is decomposed into a unified direction, converting the spatial displacement into directional component data in the same coordinate system, so that the displacement change of each electrode in the time segment can be represented by a unified direction. Subsequently, the directional component data of each electrode are superimposed and integrated to form the time-progressive change result of the overall offset direction and the overall offset amplitude. The overall offset direction is used to represent the dominant movement direction of the electrode as a whole in space, and the overall offset amplitude is used to represent the cumulative movement distance of the electrode as a whole in space. Through the above continuous analysis and processing, the electrode position change data is transformed from scattered single-point displacement information into directional and amplitude information reflecting the overall movement trend, while maintaining complete consistency with the time segment corresponding to the asymmetric change marker.

[0064] After generating the time-progressive changes in the overall offset direction and amplitude, the overall offset direction and amplitude are continuously connected using a unified time marker sequence. The overall offset direction and amplitude under each time marker are then chained together in a time-progressive manner to form a continuous offset trajectory. During the formation of this continuous offset trajectory, the spatial position corresponding to the starting time marker of the time segment is used as the trajectory start point, and the spatial position corresponding to the ending time marker of the time segment is used as the trajectory end point. The overall offset direction and amplitude corresponding to each intermediate time marker are used as trajectory path nodes, thus forming a complete continuous offset trajectory within the spatial coordinate system. Maintaining continuity during trajectory formation without interrupting the time sequence ensures that the continuous offset trajectory fully reflects the overall movement process of the electrode within the time segment corresponding to the asymmetric change marker, providing a continuous spatial path basis for subsequent judgment of spatial position change trends.

[0065] After the continuous offset trajectory is formed, a position drift marker is generated at the end of the continuous offset trajectory. The position drift marker is bound to the corresponding time segment end time marker and the spatial coordinates of the end point of the continuous offset trajectory. This makes the position drift marker not only indicate the end position of the continuous offset trajectory, but also indicate the overall spatial position change result formed within the time segment of the asymmetric change marker. During the generation of the position drift marker, the final values ​​of the overall offset direction and the overall offset magnitude are written into the associated information of the position drift marker, so that the position drift marker simultaneously carries spatial direction information and spatial displacement information. Through the above process of retrieving electrode position change data around the asymmetric change marker, continuously analyzing to obtain the overall offset direction and the overall offset magnitude, forming a continuous offset trajectory, and generating a position drift marker, the time segmentation expression of the overall spatial position change state of the electrode is realized. This provides a clear spatial basis and time entry point for subsequent location of the brain region corresponding to the offset based on the position drift marker.

[0066] The adjustment trigger module determines the time range in which the brain region correspondence shifts based on the position drift marker, extracts the rhythm arrangement of each partition from the time range, and establishes a rhythm adjustment entry at the end of the time range.

[0067] To further define the time range of shifts in brain region correspondences around location drift markers, and to extract the rhythmic arrangement of each region and establish rhythmic adjustment entry points within this time range, the specific implementation steps are as follows:

[0068] Based on the established position drift markers and their binding with the time markers at the tail of the continuous offset trajectory, the time markers corresponding to the position drift markers are used as time reference points. The time is traced back to the starting time marker of the time segment indicated by the corresponding asymmetric change marker, forming a continuous time range from the starting time marker of the asymmetric change marker to the ending time marker of the position drift marker. Within this continuous time range, the spatial coordinate data of each electrode at a unified time scale are mapped to the pre-defined standard spatial coordinates of the brain region. By comparing the changes in the correspondence between the electrode spatial position corresponding to each time marker in the continuous offset trajectory and the standard spatial coordinates of the brain region, the specific time segment in which the brain region correspondence shifts is determined. In determining the shift in the brain region correspondence, the overall offset direction and amplitude of the electrodes are used as references. The time period in which the electrode spatial position continuously deviates from the standard spatial coordinates of the brain region is identified as the time range in which the brain region correspondence shifts. This time range has clear starting and ending time markers on the time axis and is directly associated with the position drift markers.

[0069] After determining the time range in which the brain region correspondence shifted, the results of the air pressure change rate of each region and the time sequence of the regulation rhythm of each region within this time range were retrieved from the unified time scale record. The regulation rhythms of each region within this time range were rearranged according to the time marker order, so that the regulation rhythms of each region under each time marker are presented in chronological order. During the rearrangement process, the rhythm start point, rhythm progression stage, and rhythm end point of the air pressure change rate of each region were arranged sequentially on the same time axis, so that the regulation rhythms of multiple regions within the time range in which the brain region correspondence shifted formed a continuous rhythm arrangement map. In this way, the time range in which the brain region correspondence shifted not only has spatial shift information, but also has a complete arrangement of regional regulation rhythms, providing a continuous temporal background for subsequent processing around rhythm adjustment.

[0070] After determining the rhythmic arrangement of each subregion within the timeframe of the shifted brain region correspondence, the rhythmic arrangement within this timeframe is longitudinally organized. The rhythm start time, rhythm progression time, and rhythm end time of each subregion within this timeframe are recorded sequentially in chronological order, forming a rhythmic arrangement recording sequence. In the rhythmic arrangement recording sequence, the rhythmic time differences between each subregion are compared over time, thus fully presenting the rhythmic arrangement relationship within the timeframe of the shifted brain region correspondence. Subsequently, the rhythmic arrangement recording sequence is bound to the timeframe of the shifted brain region correspondence, enabling the simultaneous reading of electrode spatial position changes and the rhythmic arrangement status of each subregion under any given time marker. This establishes a one-to-one correspondence between the timeframe and the rhythmic arrangement, providing a precise time window for rhythm adjustment.

[0071] A rhythm adjustment entry point is established at the end of the time range where the brain region correspondence shifts. This entry point is then linked to the rhythm arrangement record sequence within that time range, making it the starting time node for subsequent correction of the rhythm regulation of each region. When establishing the rhythm adjustment entry point, the overall shift direction and magnitude information recorded in the position drift marker are synchronously associated with it. This ensures that the rhythm adjustment entry point not only indicates the time position but also carries spatial shift and rhythm arrangement information. Through this continuous process of determining the time range where the brain region correspondence shifts around the position drift marker, extracting the rhythm arrangement of each region within that time range, and establishing the rhythm adjustment entry point at the end of the time range, the spatial shift and rhythm arrangement information are integrated in the time dimension. This provides a clear time starting point and continuous rhythm basis for subsequent phase-reverse progressive regulation around the rhythm adjustment entry point.

[0072] The phase adjustment module adjusts the rate of change of air pressure in each zone in reverse phase around the rhythm adjustment inlet. It performs delayed advance control on the early contraction section and advance control on the late contraction section. It restores the overall contraction consistency through alternating peak adjustment to stabilize the spatial position of the electrodes.

[0073] To achieve phase-reverse progressive adjustment of the rate of air pressure change in each zone around the rhythm adjustment inlet, and to implement delayed advance control for the leading contraction segment and advanced advance control for the lagging contraction segment, the overall contraction consistency is restored through alternating peak-shifting adjustment to stabilize the electrode spatial position. The specific implementation steps are as follows:

[0074] Having established a rhythm adjustment entry point and completed the binding of the time range, rhythm arrangement recording sequence, and positional drift markers corresponding to the shift in the brain region correspondence, the time marker corresponding to the rhythm adjustment entry point is used as the starting point for adjustment. The pressure change rate sequence of each region after this time marker is expanded to form a continuous time-progressive sequence after the rhythm adjustment entry point. In this continuous time-progressive sequence, based on the arrangement order of the rhythm start time and rhythm progression time of each region in the rhythm arrangement recording sequence, the rhythm sequence relationship of each region within the time range of the shift in the brain region correspondence is determined. The region with the rhythm start time in the first position is determined as the leading contraction segment, and the region with the rhythm start time in the second position is determined as the lagging contraction segment. In the above determination process, the rhythm adjustment entry point is used as a unified time reference, so that the pressure change rate sequence of each region completes the division of the leading contraction segment and the lagging contraction segment within the same time axis framework, establishing a time basis for subsequent phase-reverse progressive adjustment.

[0075] After dividing the region into leading and lagging contraction zones, the rate of pressure change in each zone is adjusted in a phase-reverse progressive manner around the rhythm adjustment inlet. During the adjustment process, the advance time of the rate of pressure change in the leading contraction zone after the rhythm adjustment inlet is shifted backward, so that the rhythm start time and rhythm advance time of the leading contraction zone are delayed relative to the rhythm adjustment inlet, thus implementing delayed advance control. At the same time, the advance time of the rate of pressure change in the lagging contraction zone after the rhythm adjustment inlet is shifted forward, so that the rhythm start time and rhythm advance time of the lagging contraction zone are advanced relative to the rhythm adjustment inlet, thus implementing advanced advance control. During the delayed advance control and advanced advance control processes, the time markers of the rate of pressure change in each zone are continuously progressively advanced, so that the rate of pressure change in each zone forms a new time arrangement relationship after the rhythm adjustment inlet, and forms a corresponding mapping with the original arrangement in the rhythm arrangement record sequence.

[0076] After completing the delayed advance control and the advanced advance control, the adjusted pressure change rate of each zone is alternately staggered to ensure that the leading contraction segment and the lagging contraction segment alternately advance in the time series after the rhythm adjustment entry. During the alternating staggered adjustment, the advancement phases of the leading contraction segment and the lagging contraction segment are arranged in a time-crossing manner, starting from the rhythm adjustment entry, so that the pressure change rate of each zone forms an alternating staggered distribution on the time axis, thereby avoiding the overall force shift caused by a single segment being continuously in an advance state. Within the continuous time segment of the alternating staggered adjustment, the pressure change rate of each zone is maintained to advance segment by segment under a unified time scale, so that the alternating staggered adjustment forms a continuous time band, thereby making the overall pressure change process show a synchronous contraction trend in the time dimension.

[0077] After alternating peak-shifting regulation forms a continuous time band, the adjusted air pressure change rate time series is simultaneously observed around the changes in electrode spatial position. This allows the electrode spatial position to gradually return to the standard spatial coordinate correspondence of brain regions within the time segment after the rhythm adjustment entry. During the overall contraction consistency recovery process, the adjusted air pressure change rate time series of each region is compared with the overall offset direction and overall offset amplitude recorded in the position drift marker, ensuring a consistent mapping between the time series changes formed by alternating peak-shifting regulation and the spatial position return path. When the electrode spatial position remains stable during the continuous time progression, the current air pressure change rate time arrangement is maintained, ensuring that the overall contraction consistency is continuously maintained under a unified time scale, thereby stabilizing the electrode spatial position. Through the above continuous process of phase-reverse progressive regulation, delayed advancement control, advanced advancement control, and alternating peak-shifting regulation around the rhythm adjustment entry, the air pressure change rate of each region is rearranged in the time dimension, correcting the asymmetric contraction state caused by rhythm differences, thereby restoring overall contraction consistency and stabilizing the electrode spatial position. This provides temporal and spatial coordination to ensure the continuous and accurate maintenance of brain region correspondence.

[0078] This invention achieves full-process identification and spatial offset correlation analysis of regional regulation rhythm differences by synchronously acquiring the air pressure change process and electrode position change process of each region under a unified time scale, and extracting the air pressure change rate results from the unified time series. This enables the time sequence comparison results of air pressure change rate to form a one-to-one correspondence with the overall electrode offset trajectory, thereby completing the rhythm abnormality localization and spatial drift identification generation when asymmetric changes are still in the formation stage. This effectively suppresses the overall electrode offset problem caused by contraction rhythm differences, ensures the stable maintenance of brain region correspondence during dynamic regulation, and improves the consistency between EEG signal acquisition results and actual brain region spatial location.

[0079] This invention implements phase-reverse progressive adjustment around the rhythm adjustment entry point, performs delayed advancement control on the early contraction segment, and performs advanced advancement control on the lagging contraction segment. By alternating peak-shifting adjustment, it reconstructs the temporal arrangement relationship of the air pressure change rate of each zone, so that the overall contraction process is synchronously advanced in the time dimension. This restores the overall force balance, stabilizes the spatial position of the electrodes, avoids continuous deviation in brain region localization, ensures the spatial correspondence accuracy of EEG signals throughout the acquisition process, and improves the reliability of subsequent brain region functional analysis results.

[0080] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. An adaptive adjustment cap system for electroencephalogram (EEG) acquisition, characterized in that, It includes a synchronous acquisition module, a rhythm recognition module, a drift analysis module, an adjustment trigger module, and a phase adjustment module: The synchronous acquisition module synchronously acquires the process of air pressure change and electrode position change in each zone during the EEG acquisition process, and forms a corresponding time series change record according to a unified time scale. It calculates the air pressure change rate result of each zone and records the air pressure change rate result of each zone at the end of the time series change record. The rhythm recognition module compares the adjustment rhythm of each zone with the results of the air pressure change rate of each zone in time sequence, determines the time segments where the air pressure change rate has different order, and generates an asymmetric change marker at the end of the time segment. The drift analysis module retrieves electrode position change data within the corresponding time segment based on the asymmetric change identifier, performs continuous analysis on the electrode position change data to obtain the overall offset direction and offset amplitude, forms a continuous offset trajectory, and generates a position drift identifier at the end of the continuous offset trajectory. The adjustment trigger module determines the time range in which the brain region correspondence shifts based on the position drift marker, extracts the rhythm arrangement of each partition from the time range, and establishes a rhythm adjustment entry at the end of the time range. The phase adjustment module adjusts the rate of change of air pressure in each zone in reverse phase around the rhythm adjustment inlet. It performs delayed advance control on the early contraction section and advance control on the late contraction section. By alternating peak staggering adjustment, it restores the overall contraction consistency and stabilizes the spatial position of the electrodes.

2. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 1, characterized in that, The steps for obtaining the air pressure change rate results for each zone are as follows: In the EEG acquisition initiation phase, a unified time scale framework is established, and the air pressure change process recording unit and the electrode position change process recording unit are simultaneously triggered to enter the working state, forming a unified time marker sequence. Based on a unified time identifier sequence, the data on the process of air pressure change and the process of electrode position change in each zone are continuously recorded and arranged in parallel to form a multi-zone synchronous time series change record. The pressure change between adjacent time markers is extracted from the synchronous time series change records of multiple zones, and the pressure change rate value is calculated by combining the corresponding time interval to generate a zone pressure change rate sequence. The regional air pressure change rate sequences are aggregated to the end of the time series change record according to a unified time identifier order, forming a comprehensive time series change record that includes the air pressure change process, the electrode position change process, and the air pressure change rate result.

3. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 2, characterized in that, The steps for generating asymmetric change identifiers are as follows: The results of the air pressure change rate of each zone are expanded in time sequence according to a unified time scale. The air pressure change rate values ​​of each zone corresponding to each time mark are arranged side by side and divided into continuous time segments to form a time series comparison table of air pressure change rate of multiple zones. By comparing the results of the rate of change of air pressure in each zone within a continuous time period, and sorting them by the start time and end time of the change, a time series of multi-zone regulation rhythm is formed. Based on the continuous analysis of the time series of multi-zone regulation rhythm, the time segments in which the rate of air pressure change differs are identified, and the start and end time markers of the time segments are recorded. An asymmetric change marker is generated at the end of the time segment where the rate of air pressure change differs, and the asymmetric change marker is then bound to the time series of the multi-zone adjustment rhythm.

4. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 3, characterized in that, The time segments where the rate of air pressure change differs are determined by statistically analyzing the time offset between the start and end times of the rhythm. The time offset remains consistent within the range of continuous time markers and is associated with the corresponding multi-zone adjustment rhythm time series. The asymmetric change marker includes the time segment end time marker and rhythm time sequence information.

5. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 3, characterized in that, The steps for generating position drift markers are as follows: Based on the asymmetric change identifier, retrieve the electrode position change data within the corresponding time segment, and form a set of electrode position change time series according to the unified time identifier order; A continuous analysis is performed on the time series of electrode position changes. The spatial positions of the electrodes under each time marker are compared and a spatial displacement sequence is formed. The time-progressive changes in the overall offset direction and the overall offset magnitude are obtained. Based on the time-progressive changes in the overall offset direction and overall offset magnitude, a continuous offset trajectory is formed by connecting them continuously, and the continuous offset trajectory is associated with the start and end time markers of the corresponding time segment. A position drift marker is generated at the end of the continuous offset trajectory, and the position drift marker is bound to the overall offset direction, the overall offset magnitude, and the corresponding time segment.

6. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 5, characterized in that, The time series of electrode position changes around the time segment corresponding to the asymmetric change marker is used as a reference. The spatial position of the electrode under each time marker is decomposed and integrated in terms of direction. The overall offset direction and overall offset magnitude are determined based on the integration result and written into the position drift marker.

7. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 5, characterized in that, The steps to establish a rhythm adjustment entry are as follows: Based on the position drift marker, the continuous time range consisting of the start time marker of the asymmetric change marker to the end time marker of the position drift marker is determined, and the time range in which the brain region correspondence shifts is determined by combining the correspondence between the continuous offset trajectory and the standard spatial coordinates of the brain region. The results of the rate of change of air pressure in each region and the time series of the regulation rhythm of each region were retrieved under a unified time scale around the time range in which the correspondence between brain regions shifted, and then rearranged according to the time label order. A rhythmic arrangement recording sequence is formed based on the rearranged rhythmic time series of each region, and the rhythmic arrangement recording sequence is bound to the time range in which the correspondence between brain regions shifts. A rhythm adjustment entry point is established at the end time marker of the time range where the brain region correspondence shifts, and the rhythm adjustment entry point is associated with the position drift marker and the rhythm arrangement recording sequence.

8. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 7, characterized in that, The time range of brain region correspondence shifts is determined by mapping the continuous shift trajectory to the standard spatial coordinates of the brain region. The rhythm arrangement recording sequence includes the temporal order of the rhythm start time and rhythm end time of each region. The rhythm adjustment entry is synchronously associated with the overall shift direction and overall shift amplitude information.

9. The adaptive adjustment cap system for electroencephalogram (EEG) acquisition according to claim 7, characterized in that, The rate of pressure change in each zone is progressively adjusted in reverse phase around the rhythm adjustment inlet. Delayed advance control is implemented for the leading contraction zone, and advanced advance control is implemented for the lagging contraction zone. The alternating peak-shifting adjustment steps are as follows: Based on the rhythm, adjust the inlet and unfold the pressure change rate sequence of each zone after the corresponding time mark, and combine the rhythm arrangement record sequence to determine the leading contraction zone and the lagging contraction zone; By adjusting the entry point around the rhythm, delayed advance control is implemented for the initial contraction section, and advanced advance control is implemented for the lagging contraction section, thus forming a new time arrangement relationship of pressure change rate; Based on the new time arrangement relationship of air pressure change rate, the air pressure change rate of each zone is adjusted alternately to stagger peaks, forming an alternating time series. By combining position drift markers to continuously maintain the time series of alternating advances, the overall contraction consistency is restored and the spatial position of the electrodes is stabilized.

10. An adaptive adjustment cap for use in electroencephalogram (EEG) acquisition, characterized in that, Includes the adaptive adjustment cap system for electroencephalogram (EEG) acquisition as described in any one of claims 1-9.

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