Analysis of Algorithms for Detection of Pedaling Intention in Brain-Machine Interfaces
The use of brain-machine interfaces in people who has suffered a cerebrovascular accident could help the rehabilitation process through the cognitive involvement of the patient. These interfaces translate the brain waves into commands to control the movement of an assistant mechanical device. Howeve...
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| Vydané v: | Revista iberoamericana de automática e informática industrial Ročník 16; číslo 2; s. 222 - 231 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | Spanish |
| Vydavateľské údaje: |
Universitat Politècnica de València
01.03.2019
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| Predmet: | |
| ISSN: | 1697-7912, 1697-7920 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | The use of brain-machine interfaces in people who has suffered a cerebrovascular accident could help the rehabilitation process through the cognitive involvement of the patient. These interfaces translate the brain waves into commands to control the movement of an assistant mechanical device. However, the control of these devices should be more stable and achieve a higher accuracy. This work studies if algorithms, such as Stockwell or Hilbert-Huang transform, can improve the control of these devices, and if a personalization by subject or electrode configuration is desirable. Besides, through the analysis of five volunteers is determined that the motor intention can not be detected only by data acquired previously to the movement using desynchronized/synchronized related events. Therefore, it is needed to extend the time processing to the two seconds after the movement starting. |
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| ISSN: | 1697-7912 1697-7920 |
| DOI: | 10.4995/riai.2018.9861 |