Person

Elisabetta De Giovanni

This person is no longer with EPFL

Elisabetta De Giovanni received the M.Sc. degree in Biomedical Engineering, with specialization in Technology for Healthcare, at University of Pavia, Italy, in April 2016. The final thesis, done in the Embedded System Laboratory (ESL) of EPFL, involved applying a smart and low power algorithm to compute vital parameters from physiological signals implemented in an embedded system.

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https://people.epfl.ch/elisabetta.degiovanni

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Official source

https://people.epfl.ch/elisabetta.degiovanni

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Related publications (8)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise

David Atienza Alonso, Grégoire Millet, Elisabetta De Giovanni, Tomas Teijeiro Campo

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 generally accurate. However, in conditions such as high-intensity exercise, sud ...

2022

System-level Design of Adaptive Wearable Sensors for Health and Wellness Monitoring

Elisabetta De Giovanni

In recent years, population aging and the consequent higher incidence of noncommunicable diseases, have increased the need for long-term health monitoring. Moreover, as healthcare cost is projected to grow substantially by 2030 in OECD countries, the deman ...

EPFL2021

Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors

David Atienza Alonso, Amir Aminifar, Adriana Arza Valdes, Elisabetta De Giovanni, Miguel Peon Quiros

In the recent Internet-of-Things (IoT) era where biomedical applications require continuous monitoring of relevant data, edge computing keeps gaining more and more importance. These new architectures for edge computing include multi-core and parallel compu ...

2021