Error-based brain signal brain-computer interface learning to control the robotic arm

Many patients lose the normal ability of the brain to the spinal cord and muscles to communicate with confidence due to mental symptoms or neurodegenerative diseases, which affects people's sense of movement and seriously causes the limbs to be uncontrolled by the human brain. The emergence of the brain-computer interface provides the brain with a new non-muscle communication channel that allows people to communicate directly with the external environment directly through the brain.

Brain-based signal based on error

Brain-computer interfaces (BMIs) are non-muscle communication systems that are a new external signal communication and control pathway that is independent of peripheral nerves and muscle tissue established between the human brain and the external environment through computers or other electronic devices.

The brain-computer interface repairs or replaces the movement or sensory function of a patient with neuromuscular disease due to a stroke or spinal cord injury. The brain-computer interface system has the same components as other communication systems, with input, output, and input signals converted into output signals. And an operational protocol that determines the start, offset, and timing of the run. This electrical signal is acquired through an invasive or non-invasive neural interface and is decoded to control the external device. However, such an external device requires the patient to successfully control the nerve dummy device while training his brain for a long time.

The Jose Millan research team at the Federal Institute of Technology in Lausanne, Switzerland, has published a BMI model in the journal of the Nature, and patients use neurosynthesis equipment in flight mode, thereby reducing the training time for patients on fake equipment. This technique uses an electroencephalogram electrode array (EEG) non-invasively based on error-related potential (ERRP) measurements. When an error occurs or the operation does not meet the patient's expectations, the ERRP will be elicited, and the patient's error signal will be integrated into the neural pseudo-controller. The neuro-false device can learn the incorrect action and then modify the wrong behavior.

The development of things always has two sides. With the continuous research of the brain-computer interface system, "brain control" has become a reality. In the medical field, it can help some neuromuscular patients to communicate with the outside world normally, but at the same time the brain The information sent can be said to be unreservedly displayed, and if this information is provided without any thought, it will pose a certain threat to our privacy.

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