1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SP2023★ 1 cited
Feed-forward and recurrent inhibition for compressing and classifying high dynamic range biosignals in spiking neural network architectures
Rachel Sava, Elisa Donati, Giacomo Indiveri
Neuromorphic processors that implement Spiking Neural Networks (SNNs) using mixed-signal analog/digital circuits represent a promising technology for closed-loop real-time processi…
cs.LG2023
Long-term stable Electromyography classification using Canonical Correlation Analysis
Elisa Donati, Simone Benatti, Enea Ceolini +1
Discrimination of hand gestures based on the decoding of surface electromyography (sEMG) signals is a well-establish approach for controlling prosthetic devices and for Human-Machi…
eess.SP2022
Neuromorphic implementation of ECG anomaly detection using delay chains
Stefan Gerber, Marc Steiner, Maryada +2
Real-time analysis and classification of bio-signals measured using wearable devices is computationally costly and requires dedicated low-power hardware. One promising approach is…