2024
DOI: 10.3390/electronics13142770
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Trial of Brain–Computer Interface for Continuous Motion Using Electroencephalography and Electromyography

Norihiko Saga,
Yukina Okawa,
Takuma Saga
et al.

Abstract: Most BCI systems used in neurorehabilitation detect EEG features indicating motor intent based on machine learning, focusing on repetitive movements, such as limb flexion and extension. These machine learning methods require large datasets and are time consuming, making them unsuitable for same-day rehabilitation training following EEG measurements. Therefore, we propose a BMI system based on fuzzy inference that bypasses the need for specific EEG features, introducing an algorithm that allows patients to prog… Show more

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