Intelligent nursing bed based on brain-computer interface (BCI) and control method thereof

A technology of brain-computer interface and control method, which is applied in vehicle rescue, input/output of user/computer interaction, hospital bed, etc., and can solve problems such as inability to obtain EEG signals, user visual fatigue, user interference, etc.

Active Publication Date: 2016-12-14
SHANDONG JIANZHU UNIV
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AI Technical Summary

Problems solved by technology

[0006] The above intelligent nursing device and method based on brain-computer interface and the cursor control system and method based on brain-computer interface all set different relevant stimulation keys on the interface, and present them to users in the form of flickering frequency, color, characters, etc. The user needs to focus on the relevant keys to obtain accurate EEG signals. This method of simply using stimulation can easi...

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  • Intelligent nursing bed based on brain-computer interface (BCI) and control method thereof
  • Intelligent nursing bed based on brain-computer interface (BCI) and control method thereof
  • Intelligent nursing bed based on brain-computer interface (BCI) and control method thereof

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Embodiment Construction

[0073] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0074] On the one hand, the present invention provides an intelligent nursing bed based on a brain-computer interface, such as Figure 1 to Figure 3 As shown, it includes an EEG signal collector 1, a computer 2, a visual stimulation and control interface 3, a control module 4 and a nursing bed 5 connected in sequence, wherein:

[0075] The EEG signal acquisition instrument 1 is used to collect the user's original EEG signal in real time, and perform signal amplification and analog-to-digital conversion on the original EEG signal;

[0076] The computer 2 is used for the preprocessing 201, feature extraction 202, and feature classification 203 of the EEG signal, and according to the EEG signal of the feature classification, controls the visual stimulation ...

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Abstract

The invention discloses an intelligent nursing bed based on a brain-computer interface (BCI) and a control method thereof, and belongs to the robot control field; the intelligent nursing bed comprises an EEG signal acquisition instrument, a computer, a visual sense stimulation and control interface, a control module, and a nursing bed connected in sequence; the EEG signal acquisition instrument is used for collecting EEG signals of a user in real time; the computer is used for preprocessing the EEG signal, extracting features, carrying out feature classification, controlling a cursor on the visual sense stimulation and control interface to move, and sending a control order to the control module; the visual sense stimulation and control interface is provided with four visual stimulation keys, a first mode key and a second mode key; the control module is used for receiving the control order sent by the computer and driving the nursing bed to finish assigned motions. The intelligent nursing bed and the control method can effectively mitigate user visual fatigues, can realize more control functions, thus greatly improving EEG signal identification accuracy and system control precision.

Description

technical field [0001] The invention relates to the field of robot control, in particular to an intelligent nursing bed based on a brain-computer interface and a control method thereof. Background technique [0002] With the rapid development of intelligent control technology, rehabilitation robots have become a new research hotspot. Paralyzed patients or patients who have basically lost their ability to exercise have to stay in bed for a long time. On the one hand, patients who stay in bed for a long time will have long-term pressure on their back and buttocks, resulting in bedsores. . At present, most service robots interact with people through traditional methods such as voice and buttons. However, many elderly and disabled people have partially or completely lost the ability to control their muscles autonomously. It is very difficult for these people to control such robots. How to restore these people's ability to control and interact with the outside world has become ...

Claims

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Application Information

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IPC IPC(8): A61G7/015A61G7/05A61B5/0476G06F3/01G06K9/62
CPCG06F3/015A61B5/7225A61B5/7235A61G7/001A61G7/015A61G7/05A61G2200/20A61G2203/10A61B5/316A61B5/369G06F18/2411
Inventor 鲁守银李臣高诺李艳萍隋首钢王涛
Owner SHANDONG JIANZHU UNIV
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