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CN-121971098-A - Method, device, equipment and storage medium for acquiring cardiac-cerebral magnetic coupling index

CN121971098ACN 121971098 ACN121971098 ACN 121971098ACN-121971098-A

Abstract

The embodiment of the invention discloses a method, a device, equipment and a storage medium for acquiring a magnetoencephalography coupling index, which are characterized by synchronously acquiring magnetoencephalography signals and magnetoencephalography signals of a plurality of space channels in real time, preprocessing the acquired magnetoencephalography signals and the original data of the magnetoencephalography signals, extracting a heartbeat R wave of the preprocessed magnetoencephalography signals as a trigger time point, defining a magnetoencephalography coupling period, defining the preprocessed magnetoencephalography signals of the magnetoencephalography coupling period as magnetoencephalography modulation signals, carrying out characteristic analysis, calculating to obtain a modulation similarity index and a magnetoencephalography modulation synchronization index, and calculating to obtain the magnetoencephalography coupling index for quantifying the functional relation degree between the heart activity and the brain activity.

Inventors

  • LI XIUPING
  • Shen Xutao

Assignees

  • 国磁云数(德清)科技有限公司

Dates

Publication Date
20260505
Application Date
20260407

Claims (10)

  1. 1. The method for acquiring the cardiac-cerebral magnetic coupling index is characterized by comprising the following steps of: Step 1, synchronously collecting magnetoencephalic signals and magnetocardiogram signals of a plurality of space channels in real time; step 2, preprocessing the original data of the acquired brain magnetic signals and heart magnetic signals; Step 3, extracting a heartbeat R wave of the preprocessed magnetocardiogram signals as a trigger time point, defining a time period from 300ms after each heartbeat R wave to 500ms after each heartbeat R wave as a magnetocardiogram strong coupling time period, and performing time locking on the magnetocardiogram signals based on the heartbeat event; step 4, defining the pre-processed magnetoencephalography signals in the magnetoencephalography coupling period as magnetoencephalography modulation signals, performing characteristic analysis, and calculating to obtain a modulation similarity index and a magnetoencephalography modulation synchronization index; and 5, calculating and obtaining the cardiac-cerebral magnetic coupling index for quantifying the functional relation degree between the cardiac activity and the brain activity based on the characteristic analysis in the step 4.
  2. 2. The method of claim 1, wherein the magnetoencephalography signals in step 1 are magnetoencephalography data of a plurality of spatial channels, and the magnetoencephalography signals are used for extracting heartbeat R waves of the plurality of spatial channels as event marker points.
  3. 3. The method for acquiring the magnetocardiogram coupling index according to claim 2, wherein the acquisition of magnetoencephalic signals and magnetocardiogram signals is performed for 5 minutes under a resting state, and 200-500 heartbeat R waves are recorded.
  4. 4. The method for acquiring the magnetocardiogram coupling index according to claim 1, wherein the preprocessing of the magnetoencephalography signals and the original data of the magnetocardiogram signals in the step 2 comprises the steps of probe positioning, filtering, linear drift removal, bad probe detection, artifact removal based on independent component analysis, bad interpolation and re-referencing.
  5. 5. The method for acquiring the magnetocardiogram coupling index according to claim 1, wherein the specific method for calculating the modulation similarity index in the step 4 is that the magnetocardiogram modulation signals of all the spatial channels of a section of magnetocardiogram coupling period are extracted, the correlation coefficient between the magnetoencephalic modulation signals of each spatial channel of the magnetocardiogram coupling period and the average value of the magnetoencephalic modulation signals of all the spatial channels of the section is calculated by adopting a mutual information function, the correlation coefficient of each channel in the magnetocardiogram coupling period is obtained, the average value of the correlation coefficients is calculated, and the average value of the correlation coefficients of all the magnetocardiogram coupling periods is averaged to obtain the modulation similarity index.
  6. 6. The method for acquiring the magnetoencephalography index of claim 5, wherein the step 4 is characterized by comprising the specific steps of extracting magnetoencephalography signals of all spatial channels in a magnetoencephalography coupling period, calculating an average value of the magnetoencephalography signals of all spatial channels in the magnetoencephalography coupling period as a reference average signal, calculating mutual information between the magnetoencephalography signals of each spatial channel in the magnetoencephalography coupling period and the reference average signal, respectively calculating information entropy of the magnetoencephalography signals of the spatial channels and information entropy of the reference average signal, dividing the mutual information by square root of products of the two information entropy to obtain normalized mutual information of the spatial channels, and forming a normalized mutual information sequence by the normalized mutual information of all spatial channels in the magnetoencephalography coupling period; setting the time of each numerical value in the normalized mutual information sequence as the time of the corresponding heartbeat R wave, and performing time marking and alignment on the data; resampling the normalized mutual information sequence and the heart rate variability sequence at the same frequency to obtain a normalized mutual information discrete sequence and a heart rate variability discrete sequence with the same sampling rate; respectively processing the normalized mutual information discrete sequence and the heart rate variability discrete sequence by using Hilbert transformation to obtain an instantaneous phase sequence of the normalized mutual information discrete sequence and an instantaneous phase sequence of the heart rate variability sequence discrete sequence; The method comprises the steps of calculating the phase difference of the instantaneous phase sequence of a normalized mutual information discrete sequence and the instantaneous phase sequence of a heart rate variability discrete sequence at a certain moment, respectively calculating the cosine value and the sine value of the phase difference, finally calculating the average value of the cosine value and the average value of the sine value corresponding to the phase difference at all moments, squaring and rooting the two values, and finally obtaining the heart brain modulation synchronization index.
  7. 7. The method for obtaining the magnetocardiogram coupling index according to claim 6, wherein the specific method for calculating the magnetocardiogram coupling index comprises the following steps: and adding the product of the modulation similarity index and the first weight and the product of the heart-brain modulation synchronization index and the second weight to obtain the comprehensive heart-brain magnetic coupling index, wherein the first weight is 0.4-0.6, and the second weight is 0.4-0.6.
  8. 8. An apparatus for obtaining a magnetocardiogram coupling index, the apparatus comprising: the signal acquisition module is used for synchronously acquiring the magnetoencephalic signals and magnetocardiographic signals in real time; the signal preprocessing module is used for preprocessing the acquired original data of the magnetoencephalic signals and magnetocardiogram signals; the time locking module is used for extracting a heartbeat R wave of the preprocessed magnetocardiogram signal as a trigger time point and defining a magnetocardiogram strong coupling period; The characteristic analysis module is used for defining the pre-processed magnetoencephalic signals in the magnetoencephalic strong coupling period as magnetoencephalic modulation signals and carrying out characteristic analysis, and calculating to obtain a modulation similarity index and a magnetoencephalic modulation synchronization index; the coupling index calculation module is used for calculating and obtaining the cardiac-cerebral magnetic coupling index.
  9. 9. An apparatus for acquiring a magnetocardiogram coupling index, characterized in that the apparatus comprises a processor and a memory storing computer program instructions, the processor reading and executing the computer program instructions to implement the method for acquiring a magnetocardiogram coupling index according to any of the claims 1-7.
  10. 10. A computer readable storage medium, wherein computer program instructions are stored on the computer readable storage medium, which when executed by a processor, implement the method for obtaining a magnetocardiogram coupling index according to any one of claims 1 to 7.

Description

Method, device, equipment and storage medium for acquiring cardiac-cerebral magnetic coupling index Technical Field The present invention relates to a method for processing and analyzing biomedical signals, and more particularly, to a method, apparatus, device and storage medium for acquiring cardiac and cerebral magnetic coupling indexes. Background Electroencephalograms (EEG) and Electrocardiographs (ECG) are the main detection means for existing neuroscience, physiological research and clinical diagnostic evaluation. Electroencephalogram (EEG) reflects physiological activity resulting from brain neuron activity primarily by measuring changes in electrical potential, while Electrocardiogram (ECG) reflects electrophysiological activity resulting from the heart by measuring changes in electrical potential. In recent years, heart brain interaction research has become a leading edge crossover field of neuroscience and cardiovascular physiology. The autonomic nervous system (Autonomic Nervous System, ANS) is closely related to brain dynamics by regulating physiological processes such as heart rate, blood pressure and respiration. The quantitative assessment of this physiological system interaction is a key technological basis for understanding health and disease physiology. Studies have shown that heart beats may modulate brain activity (e.g., through coupling of brain waves, hemodynamic changes, and brain neural activity). Recent studies have also found that heartbeat R-waves may trigger localized synchronization of brain activity around a particular time. However, conventional electroencephalograms and electrocardiographs are generally independently applied to different physiological systems, and data acquisition and processing are also performed separately. For example, the sequence of heart rate variability (HEART RATE Variability, HRV) of the brain and heart, respectively, is subjected to spectral analysis. The separated monitoring method can not only capture real-time associated information between heart and brain activities, but also hardly reveal interaction mechanisms between heart and brain diseases, so that the assessment of the heart and brain health state of a patient is not comprehensive and accurate enough. The Magnetoencephalography (MEG) can be used for non-invasively measuring weak magnetic field signals generated by electric pulses sent by neurotransmitters in the brain, and the Magnetocardiography (MCG) is used for measuring magnetic field signals generated by heart electrophysiological activities, and the signals are usually in the order of 10-100 fT (10-15T), and have high time resolution although only sensing magnetic field changes with limited depth, so that functional neural activities can be directly observed. However, in the prior art, the magnetocardiogram signal and the magnetoencephalic signal are also acquired and analyzed independently, so that no effective method for comprehensively analyzing the magnetocardiogram signal and the magnetoencephalic signal by combining the magnetoencephalic signal and the magnetoencephalic signal exists at present, and particularly, the research on the connection of the functions of the heart and the brain in a resting state is blank. Disclosure of Invention The embodiment of the invention provides a method, a device, equipment and a storage medium for acquiring a cardiac-cerebral magnetic coupling index, which can quantify the functional relation degree between cardiac activity and brain activity in a resting state. In a first aspect, an embodiment of the present invention provides a method for acquiring a magnetocardiogram coupling index, including the following steps: Step 1, synchronously collecting magnetoencephalic signals and magnetocardiogram signals of a plurality of space channels in real time; step 2, preprocessing the original data of the acquired brain magnetic signals and heart magnetic signals; step 3, extracting a heartbeat R wave of the preprocessed magnetocardiogram signal as a trigger time point, and defining a magnetocardiogram strong coupling period; step 4, defining the pre-processed magnetoencephalography signals in the magnetoencephalography coupling period as magnetoencephalography modulation signals, performing characteristic analysis, and calculating to obtain a modulation similarity index and a magnetoencephalography modulation synchronization index; and 5, calculating and obtaining the cardiac-cerebral magnetic coupling index for quantifying the functional relation degree between the cardiac activity and the brain activity based on the characteristic analysis in the step 4. Compared with the prior art, the invention has the advantages that on the premise of synchronously collecting and preprocessing the magnetic field information of the heart and the brain, the modulation similarity index and the heart-brain modulation synchronization index are obtained by defining the heart-brain magnetic strong coupling period and ca