15 citations · 26 across the 5 of their papers we have counts for
8 papers
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference
Marco Rios, Flavio Ponzina, Alexandre Levisse +2
By supporting the access of multiple memory words at the same time, Bit-line Computing (BC) architectures allow the parallel execution of bit-wise operations in-memory. At the arra…
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
Una Pale, Tomas Teijeiro, David Atienza
The healthcare landscape is moving from the reactive interventions focused on symptoms treatment to a more proactive prevention, from one-size-fits-all to personalized medicine, an…
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection
Una Pale, Tomas Teijeiro, David Atienza
Wearable and unobtrusive monitoring and prediction of epileptic seizures has the potential to significantly increase the life quality of patients, but is still an unreached goal du…
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm
Una Pale, Nathan Müller, Adriana Arza +1
This work presents ReBeatICG, a real-time, low-complexity beat-to-beat impedance cardiography (ICG) delineation algorithm that allows hemodynamic parameters monitoring. The propose…
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health
Lara Orlandic, Adriana Arza Valdes, David Atienza
A person's passage of time perception (POTP) is strongly linked to their mental state and stress response, and can therefore provide an easily quantifiable means of continuous ment…
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals
Arman Iranfar, Adriana Arza, David Atienza
Continuous and multimodal stress detection has been performed recently through wearable devices and machine learning algorithms. However, a well-known and important challenge of wo…