Neural network-based classification of ENG recordings in response to naturally evoked stimulation-Reference-Cited by-同舟云学术

Neural network-based classification of ENG recordings in response to naturally evoked stimulation

Published:2022-10-03 Issue: Volume: Page:
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Container-title:Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication
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Author:

Coviello Antonio¹,Porta Federica¹,Magarini Maurizio¹,Spagnolini Umberto¹

Affiliation:

1. Politecnico di Milano, Milan, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3558583.3558855

Reference26 articles.

1. Long-term user perceptions of an implanted neuroprosthesis for exercise, standing, and transfers after spinal cord injury;Agarwal Sanjeev;Journal of rehabilitation research and development,2003

2. Emma Brunton , Christoph W Blau , and Kianoush Nazarpour . 2017 . ENG recordings in response to mechanical stimulation . Retrieved August 29, 2022 from https://data.ncl.ac.uk/articles/dataset/ENG_recordings_in_response_to_mechanical_stimulation/10280846 Emma Brunton, Christoph W Blau, and Kianoush Nazarpour. 2017. ENG recordings in response to mechanical stimulation. Retrieved August 29, 2022 from https://data.ncl.ac.uk/articles/dataset/ENG_recordings_in_response_to_mechanical_stimulation/10280846

3. Emma Brunton , Christoph W Blau , and Kianoush Nazarpour . 2017. Separability of neural responses to standardised mechanical stimulation of limbs. Scientific reports 7, 1 ( 2017 ), 1--14. Emma Brunton, Christoph W Blau, and Kianoush Nazarpour. 2017. Separability of neural responses to standardised mechanical stimulation of limbs. Scientific reports 7, 1 (2017), 1--14.

4. Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition

5. Multivariate Time Series Classification Using Spiking Neural Networks

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