324 citations · 535 across the 24 of their papers we have counts for
7 papers · 1 filter
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems
Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar +3
Integrating low-power wearable Internet of Things (IoT) systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables…
Event-based sampled ECG morphology reconstruction through self-similarity
Silvio Zanoli, Tomas Teijeiro, Giovanni Ansaloni +1
Background and Objective: Event-based analog-to-digital converters allow for sparse bio-signal acquisition, enabling local sub-Nyquist sampling frequency. However, aggressive event…
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise
Elisabetta De Giovanni, Tomas Teijeiro, Grégoire P. Millet +1
Objective: Continuous monitoring of biosignals via wearable sensors has quickly expanded in the medical and wellness fields. At rest, automatic detection of vital parameters is gen…
An Error-Based Approximation Sensing Circuit for Event-Triggered, Low Power Wearable Sensors
Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro +2
Event-based sensors have the potential to optimize energy consumption at every stage in the signal processing pipeline, including data acquisition, transmission, processing and sto…
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…
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection
Una Pale, Tomas Teijeiro, David Atienza
Hyperdimensional computing is a promising novel paradigm for low-power embedded machine learning. It has been applied on different biomedical applications, and particularly on epil…