Next Article in Journal
A Super-Harmonic Feature Based Updating Method for Crack Identification in Rotors Using a Kriging Surrogate Model
Next Article in Special Issue
External Robotic Arm vs. Upper Limb Exoskeleton: What Do Potential Users Need?
Previous Article in Journal
Metal–Organic Frameworks Toward Electrocatalytic Applications
Previous Article in Special Issue
Modular Design and Decentralized Control of the Recupera Exoskeleton for Stroke Rehabilitation
Open AccessArticle

Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning

Department of Human System Interaction, School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda 669-1337, Japan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(12), 2429; https://doi.org/10.3390/app9122429
Received: 28 April 2019 / Revised: 5 June 2019 / Accepted: 6 June 2019 / Published: 14 June 2019
Neurorehabilitation using a brain–computer interface (BCI) requires machine learning, for which calculations take a long time, even days. However, the demands of actual rehabilitation are becoming increasingly rigorous, requiring that processes be completed within tens of minutes. Therefore, we developed a new effective rehabilitation system for treating patients such as those with stroke hemiplegia. The system can smoothly perform rehabilitation training on the day of admission to the hospital. We designed a heuristic BCI with simplified fuzzy reasoning, which can detect motor intention signals from an electroencephalogram (EEG) within several tens of minutes. The detected signal is sent to the newly developed ankle rehabilitation device (ARD), and the patient repeats the dorsiflexion motion by the ARD. View Full-Text
Keywords: ankle rehabilitation; brain–computer interface (BCI); EEG; fuzzy template matching; neurorehabilitation ankle rehabilitation; brain–computer interface (BCI); EEG; fuzzy template matching; neurorehabilitation
Show Figures

Figure 1

MDPI and ACS Style

Saga, N.; Tanaka, Y.; Doi, A.; Oda, T.; Kudoh, S.N.; Fujie, H. Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning. Appl. Sci. 2019, 9, 2429.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop