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

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

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. Therefor...

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Main Authors: Norihiko Saga, Yasuto Tanaka, Atsushi Doi, Teruo Oda, Suguru N. Kudoh, Hiroyuki Fujie
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
ankle rehabilitation
brain–computer interface (BCI)
EEG
fuzzy template matching
neurorehabilitation
Online Access:https://www.mdpi.com/2076-3417/9/12/2429
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spelling doaj-0e042ee5f49f437c85c824458dfe80c52020-11-25T00:42:43ZengMDPI AGApplied Sciences2076-34172019-06-01912242910.3390/app9122429app9122429Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy ReasoningNorihiko Saga0Yasuto Tanaka1Atsushi Doi2Teruo Oda3Suguru N. Kudoh4Hiroyuki Fujie5Department of Human System Interaction, School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda 669-1337, JapanDepartment of Human System Interaction, School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda 669-1337, JapanDepartment of Human System Interaction, School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda 669-1337, JapanDepartment of Human System Interaction, School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda 669-1337, JapanDepartment of Human System Interaction, School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda 669-1337, JapanDepartment of Human System Interaction, School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda 669-1337, JapanNeurorehabilitation 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.https://www.mdpi.com/2076-3417/9/12/2429ankle rehabilitationbrain–computer interface (BCI)EEGfuzzy template matchingneurorehabilitation
collection DOAJ
language English
format Article
sources DOAJ
author Norihiko Saga
Yasuto Tanaka
Atsushi Doi
Teruo Oda
Suguru N. Kudoh
Hiroyuki Fujie
spellingShingle Norihiko Saga
Yasuto Tanaka
Atsushi Doi
Teruo Oda
Suguru N. Kudoh
Hiroyuki Fujie
Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
Applied Sciences
ankle rehabilitation
brain–computer interface (BCI)
EEG
fuzzy template matching
neurorehabilitation
author_facet Norihiko Saga
Yasuto Tanaka
Atsushi Doi
Teruo Oda
Suguru N. Kudoh
Hiroyuki Fujie
author_sort Norihiko Saga
title Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
title_short Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
title_full Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
title_fullStr Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
title_full_unstemmed Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
title_sort prototype of an ankle neurorehabilitation system with heuristic bci using simplified fuzzy reasoning
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-06-01
description 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.
topic ankle rehabilitation
brain–computer interface (BCI)
EEG
fuzzy template matching
neurorehabilitation
url https://www.mdpi.com/2076-3417/9/12/2429
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