Active hand training system and method based on brain-computer interaction and deep learning

The invention discloses an active hand training system and method based on brain-computer interaction and deep learning. The active hand training system comprises an electroencephalogram cap, an FPGAacquisition device, an image stimulation module, an upper computer and a hand movement support; the e...

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Hauptverfasser: MA CHAO, REN FEIYUE, RUI LINGE, MA WENQING, GAO ZHONGKE
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creator MA CHAO
REN FEIYUE
RUI LINGE
MA WENQING
GAO ZHONGKE
description The invention discloses an active hand training system and method based on brain-computer interaction and deep learning. The active hand training system comprises an electroencephalogram cap, an FPGAacquisition device, an image stimulation module, an upper computer and a hand movement support; the electroencephalogram cap and FPGA acquisition equipment are used for acquiring a motor imagery electroencephalogram signal of a testee, carrying out preprocessing operation and wirelessly transmitting the pretreated signal to the upper computer; the image stimulation module generates corresponding motion visual prompts according to the training items so as to prompt the testee to perform imagination of corresponding action; meanwhile, after receiving the electroencephalogram signal, the upper computer decodes the electroencephalogram signal and generates a corresponding control signal; and the hand movement support receives the control signal to pull the hand of the testee to move, and corresponding training is comp
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subjects ARTIFICIAL RESPIRATION
BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSESOR SPECIFIC PARTS OF THE BODY
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MASSAGE
MEDICAL OR VETERINARY SCIENCE
PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING ORSTIMULATING REFLEX POINTS IN THE BODY
PHYSICS
SURGERY
title Active hand training system and method based on brain-computer interaction and deep learning
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