Embedded Learning for Smart Functional Electrical Stimulation
| Autor: | Hervé Glotin, Edith Kussener, Sebastian Marzetti, Herve Barthelemy, Valentin Barchasz, Valentin Gies, Remy Vauche |
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| Přispěvatelé: | Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (IM2NP), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique et Systèmes (LIS), Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Electrical stimulator 0206 medical engineering Feature extraction Embedded processing 02 engineering and technology 020601 biomedical engineering 03 medical and health sciences Movement pattern [SPI]Engineering Sciences [physics] 0302 clinical medicine Inertial measurement unit Functional electrical stimulation Medicine business Neural network classification Classifier (UML) 030217 neurology & neurosurgery Computer hardware ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2020, Dubrovnik, Croatia. pp.1-6, ⟨10.1109/I2MTC43012.2020.9128681⟩ I2MTC |
| DOI: | 10.1109/I2MTC43012.2020.9128681⟩ |
| Popis: | This paper presents a smart embedded Functional Electrical Stimulator (FES), able to stimulate a muscle only when a specific movement pattern occurs. This pattern is detected using an inertial measurement unit (IMU) coupled with a feature detector and a neural classifier. Architecture of the FES is first presented, then embedded processing algorithms composed of feature extraction and neural network classification are detailed. Results show that the muscle vibration happening when stimulation is needed can be recognized in more than 90% of cases using less than 3% of average embedded processor resources on a ARM M4F. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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