Method for capturing signals and extracting characteristics of stand imagination action brain wave

Abstract

The invention belongs to the field of biomedical engineering and computer, and relates to a signal acquisition and feature extraction method of standing up imaginary action EEG, the method mainly includes the following steps, ① standing up imaginative action EEG signal acquisition and preprocessing; ② feature wavelet Packet space acquisition; ③ wavelet packet independent component analysis; ④ EEG signal reconstruction; ⑤ feature extraction. The invention solves the problem of accurate extraction of EEG features in imaginary action of standing up, thereby providing strong support for correctly identifying lower limb movement patterns, effectively converting them into control commands applied to the lower limb rehabilitation walking aid system, and realizing autonomous standing of paraplegic patients .

Description

technical field [0001] The invention relates to a method for collecting and feature-extracting electroencephalogram signals, belonging to the fields of biomedical engineering and computers. Background technique [0002] Brain-computer interface (Brain-Computer Interface, BCI) is to establish a direct information exchange and control channel between the human brain and computers or other electronic devices that does not depend on conventional brain output pathways (peripheral nerves and muscle tissue). A new human-computer interaction system. The earliest EEG signals applied to the brain-computer interface system are mainly spontaneous EEG signals, such as alpha (α) waves in EEG. However, this type of EEG signal mode is single, and it is impossible to truly achieve "consciousness control action", which seriously restricts the development of brain-computer interface systems. In recent years, scholars from various countries have gradually carried out research on EEG signals u...

AI Technical Summary

Problems solved by technology

But so far, the pattern extraction of lower extremity imaginary action potentials has progressed slowly, and it is difficult to improve the accuracy of judgment

The main reason is that the functional area of ​​the cerebral cortex mapped by the movement of the lower extremities is a relatively narrow area in the parietal sulcus, and the distinction of its spatial structure is already very limited. In addition, the EEG signals extracted by the scalp electrodes are extremely diffuse and inconsistent. Aliasing, very unfavorable for source signal acquisition and identification

This key factor leads to the limited applicability of the feature extraction algorithm applied to the imagery EEG of the upper limbs in the feature extraction of the EEG of the lower limbs.

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