324 citations · 625 across the 27 of their papers we have counts for
7 papers · 1 filter
Mathematical model of parameters relevance in adaptive level-crossing sampling for electrocardiogram signals
Silvio Zanoli, Giovanni Ansaloni, Tomás Teijeiro +1
Digital acquisition of bio-signals has been mostly dominated by uniform time sampling following the Nyquist theorem. However, in recent years, new approaches have emerged, focused…
Acoustical Features as Knee Health Biomarkers: A Critical Analysis
Christodoulos Kechris, Jerome Thevenot, Tomas Teijeiro +3
Acoustical knee health assessment has long promised an alternative to clinically available medical imaging tools, but this modality has yet to be adopted in medical practice. The f…
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…
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…