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

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 ...

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 easily cause visual fatigue for the user. If many functions need to be realized, it is necessary to set a lot of stimulation keys. If they are densely arranged on the screen, it is difficult for the user to concentrate on a relevant key. Different keys will interfere with the user, which will seriously affect the accuracy of EEG signal recognition, and even fail to obtain ideal EEG signals. , which seriously affects the accuracy of the control

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