Brainwave Music Generation Method

A music and brain wave technology, applied in the field of biomedical engineering, can solve problems such as music that does not involve multi-channel brain waves and multi-voice parts

Active Publication Date: 2015-08-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the existing brainwave music generation method does not involve multi-channel brainwave and multi-part music, and proposes a brainwave music generation method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Brainwave Music Generation Method
  • Brainwave Music Generation Method
  • Brainwave Music Generation Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0031] The method for generating brainwave music of the present invention specifically comprises the following steps:

[0032] S1, EEG signal collection, collect EEG according to the standard EEG collection method;

[0033] S2. Generating single-channel brainwave music, analyzing the characteristics of the EEG collected in step S1, establishing a mapping between single-channel brainwave signal parameters and music parameters, obtaining single-channel music, and then obtaining music fragments of all channels.

[0034] In this embodiment, it is specifically 16 channels.

[0035] Here the electroencephalogram signal parameters include the period, amplitude, and average power of each cycle of the electroencephalogram signal, and the parameters of the music include sound length, pitch, and sound intensity. In the step S2, the amplitude, period, and...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a brain wave music generation method. The brain wave music generation method comprises the steps of collecting EEG (Electroencephalograph) signals, generating single track brain wave music, and carrying out rhythm filtration and tone filtration. According to the brain wave music generation method disclosed by the invention, multi-voice coordinating brain wave music can be generated by utilizing multiple EEG data, the specific rhythm sensation of the music can be ensured by the rhythms, and meanwhile, the finally generated music has the specific rhythms through the tone filtration, the multiple voices are coordinating and consistent, and different states to be tested are partitioned according to the music characteristics. According to the brain wave music generation method, the brain waves can be monitored and recorded, so that the new technical support is provided for further analyzing and reading the EEG data.

Description

technical field [0001] The invention belongs to the technical field of biomedical engineering, and relates to a method for generating music with brain wave signals, in particular to a method for generating multi-part ensemble music with multi-channel brain wave signals. Background technique [0002] Electroencephalography (electroencephalogram, EEG), as a technique to monitor the electrical activity of the brain, is widely used in clinical and scientific research. Usually, the EEG is presented in a visual form such as a waveform or a topographic map, and various features of the EEG signal are analyzed by analyzing the waveform or image. It is a meaningful attempt to monitor the signal by listening to convert EEG into sound and even music, because the human ear can distinguish sound quickly and accurately, making this method more sensitive than traditional waveforms. details of the signal. [0003] So far, the generation of brainwave music has used statistical methods, powe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00A61B5/0476
Inventor 吴丹尧德中
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products