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EEG-based meditation detection method

A detection method and brain wave technology, which are applied in biological recognition mode based on physiological signals, recognition of patterns in signals, instruments, etc., can solve the problem that the absolute value of energy is too large, the performance of sensor devices is attenuated, and the absolute value of brain wave energy is not stable enough. and other problems to achieve the effect of enhancing anti-interference and improving accuracy

Inactive Publication Date: 2016-09-28
南京衡思健康科技有限公司
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Problems solved by technology

[0004] However, when collecting and analyzing α-band brainwaves, α-band brainwaves are susceptible to interference from external electromagnetic waves, resulting in a relatively large absolute value of energy; or sensor devices (EEG electrodes and their drive circuits, etc.) ) performance attenuation, resulting in too small absolute value of energy
Therefore, the absolute value of the energy of the α-band brainwave is not stable enough, and the absolute value of the energy cannot be used as a data basis for judging meditation and analyzing the degree of meditation

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  • EEG-based meditation detection method
  • EEG-based meditation detection method
  • EEG-based meditation detection method

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Embodiment Construction

[0027] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0028] The brainwave-based meditation detection method in the embodiment of the present invention detects human brain meditation activities based on brainwave signals captured by brainwave acquisition equipment (such as an EEG instrument); Radio signals, and the unit or region where human brain meditation activities are detected (such as homes, mental health clinics, and yoga classrooms, etc.).

[0029] see figure 1 As shown, the brainwave-based meditation detection method in the embodiment of the present invention includes the following steps:

[0030] S1: Intercept a segment of EEG time-domain signal data from the data sent by the EEG acquisition device; in this embodiment, the EEG signal sampling frequency of the EEG acquisition device is 512 Hz, and one segment of EEG time-domain signal data includes 2048 Data; when intercepting data aga...

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Abstract

The invention discloses an EEG-based meditation detection method, relating to the field of EEG signal emotion feature extraction and analysis. The method includes the steps of acquiring a section of EEG time domain signal data and converting the data into EEG frequency domain signal data; respectively calculating the energy absolute value of the alpha frequency range and the energy absolute value of the beta frequency range based on the EEG frequency domain signal data; calculating the energy relative value ratio of the alpha frequency range based on the energy absolute value of the alpha frequency range and the energy absolute value of the beta frequency range; and calculating the meditation score MedScore based on ratio. According to the invention, the interference immunity of meditation determination is enhanced, and the accuracy of meditation determination result is improved.

Description

technical field [0001] The invention relates to the field of extraction and analysis of emotional features of electroencephalogram signals, in particular to a method for detecting meditation based on electroencephalograms. Background technique [0002] Meditation in psychology is a form of altered consciousness that enhances self-knowledge and well-being through attaining a deep state of stillness. In essence, by stopping the function of intellectual and rational cerebral cortex, the autonomic nerves are activated. In layman's terms, meditation is an act of self-discipline that stops all external activities of consciousness and achieves a state of ecstasy. Under normal circumstances, human beings can only gradually enter the meditative state by reducing conscious brain activity after closing their eyes. At this time, the brain waves emitted by the human brain will undergo greater changes compared with non-meditation with eyes open or sleep with eyes closed. [0003] Electr...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/10G06V40/15G06F2218/16G06F2218/02
Inventor 董豪郭毅可曹锋游晓光郑义
Owner 南京衡思健康科技有限公司
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