Publication: Processing EMG signals using reservoir computing on an event-based neuromorphic system
Processing EMG signals using reservoir computing on an event-based neuromorphic system
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Donati, E., Payvand, M., Risi, N., Krause, R., Burelo, K., Indiveri, G., Dalgaty, T., & Vianello, E. (2018, October 17). Processing EMG signals using reservoir computing on an event-based neuromorphic system. BioCAS 2018, Cleveland OH. https://doi.org/10.1109/BIOCAS.2018.8584674
Abstract
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Abstract
Electromyography (EMG) signals carry information about the movements of skeleton muscles. EMG on-line processing and analysis can be applied to different types of human-machine interfaces and provide advantages to patient rehabilitation strategies in case of injuries or stroke. However, continuous monitoring and data collection produces large amounts of data and introduces a bottleneck for further processing by computing devices. Neuromorphic technology offers the possibility to process the data directly on the sensor side in real-tim
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- Donati, Elisa
- Payvand, Melika
- Risi, Nicoletta
- Krause, Renate
- Burelo, Karla
- Indiveri, Giacomo
- Dalgaty, Thomas
- Vianello, Elisa
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Donati, E., Payvand, M., Risi, N., Krause, R., Burelo, K., Indiveri, G., Dalgaty, T., & Vianello, E. (2018, October 17). Processing EMG signals using reservoir computing on an event-based neuromorphic system. BioCAS 2018, Cleveland OH. https://doi.org/10.1109/BIOCAS.2018.8584674
