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Method of controlling PWM (pulse-width modulation) duty cycle based on brain-computer interface

A technology of brain-computer interface and duty cycle, applied in the field of EEG control, can solve the problem of controlling PWM duty cycle and so on

Inactive Publication Date: 2017-05-10
TIANJIN JINHANG COMP TECH RES INST
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  • Summary
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a method for controlling the PWM duty cycle based on the brain-computer interface to solve the problem of how to control the PWM duty cycle through the EEG signal

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  • Method of controlling PWM (pulse-width modulation) duty cycle based on brain-computer interface

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Embodiment Construction

[0023] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0024] The embodiment of the present invention adopts such as figure 1 The control system shown performs PWM duty cycle control based on the brain-computer interface. Specific control methods include,

[0025] (1) The 16-channel EEG signal was collected using the unipolar lead method.

[0026] (2) Digitally amplify and filter the collected EEG signals. Among them, the EEG signal is amplified by at least 10,000 times, and the signals other than 0.5 Hz to 40 Hz are filtered.

[0027] (3) Transform the amplified and digitally filtered EEG signal using multi-valued output signal transformation functions including difference, cepstrum, autocorrelation function, amplitude probability distribution, spectrum and wavelet tra...

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Abstract

The present invention belongs to the electroencephalogram control and relates to a method of controlling a PWM (pulse-width modulation) duty cycle based on a brain-computer interface. According to the method, multi-dimensional feature extraction is performed on extracted electroencephalogram signals, so that a multi-dimensional feature vector matrix is constructed; an artificial neural network data fusion algorithm is adopted to perform fusion recognition on the normalized multi-dimensional feature vector matrix to be recognized; recognized electroencephalogram signals, adopted as control instructions, are outputted to a single-chip microcomputer; and the single-chip microcomputer controls the PWM duty cycle; and therefore, precise control on devices such as motors can be realized.

Description

technical field [0001] The invention belongs to the field of EEG control, and in particular relates to a method for controlling PWM duty cycle based on a brain-computer interface. Background technique [0002] The human brain is the most complete and complex intelligent system known to mankind so far. It has intelligence such as perception, recognition, learning, association, memory, and reasoning. Linear Information Processing System. EEG signal is a comprehensive expression of brain nerve cell activity, which contains a wealth of brain activity information. EEG research has always been favored by many experts and scholars, and a large number of research results have been widely used in clinical medicine, military medicine, aerospace medicine, nautical medicine, mental task recognition and psychotherapy. Due to the rapid development and application of computer technology, electronic technology, and microelectrode recording technology, EEG signals are not only related to t...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F3/01G06N3/04
CPCG06F3/015G06N3/04G06F18/251
Inventor 聂臣林王刚朵慧智叶旭鸣
Owner TIANJIN JINHANG COMP TECH RES INST
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