Related publications (34)

Monitoring of Protein and pH Levels in Human Biofluids using FD-SOI Silicon Nanowire Arrays

Luca Capua

Medical research and technological advancements are heading towards tailored healthcare approaches that prioritize individual needs, allowing for more accurate diagnoses, more effective treatments, and better patient outcomes overall. One such approach is ...
EPFL2023

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Una Pale

Hyperdimensional (HD) computing is a novel approach to machine learning inspired by neuroscience, which uses vectors in a hyper-dimensional space to represent data and models. This approach has gained significant interest in recent years with applications ...
EPFL2023

An epidermal wearable microfluidic patch for simultaneous sampling, storage, and analysis of biofluids with counterion monitoring

Silvia Demuru, Brince Paul Kunnel

Simultaneous access to different biofluids enables an accurate analysis of multiple analytes, leading to a precision diagnosis and appropriate medication. Additionally, establishing a relationship between various markers in different biofluids and their co ...
ROYAL SOC CHEMISTRY2022

PROFACTORY: Improving IoT Security via Formalized Protocol Customization

Mathias Josef Payer, Fei Wang, Duo Xu, Xiangyu Zhang

As IoT applications gain widespread adoption, it becomes important to design and implement IoT protocols with security. Existing research in protocol security reveals that the majority of disclosed protocol vulnerabilities are caused by incorrectly impleme ...
USENIX ASSOC2022

Electrolyte-gated carbon nanotube field-effect transistorbased biosensors: Principles and applications

Nako Nakatsuka, Mattia Petrelli

Nowadays, there is a high demand for sensitive and selective real-time analytical methods suitable for a wide range of applications, from personalized telemedicine, drug discovery, food safety, and quality control, to defense, security, as well as environm ...
2021

Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study

Silvestro Micera, Elvira Pirondini, Jenifer Cléa Miehlbradt, Nawal Noëlle Kinany, Martina Coscia, Christian Giang, Camilla Pierella

Background In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The personaliza ...
2020

Wearable multi-electrode platform for ion sensing

Francesca Criscuolo

With the growth of personalized medicine and e-Health, there has been an increasing interest in the development of accurate sensing systems able to support this healthcare revolution for both in- and off-hospital monitoring. Remote biosensing devices can d ...
EPFL2020

Denoising ECG Signal by CSTFM Algorithm: Monitoring During Motorbike and Car Races

Guglielmo Frigo

mHealth technology, by using habitual devices, i.e., smartphones, improves prevention, diagnosis, treatment, monitoring, and management of health. Monitoring heart profile during intense sports activities allows to diagnose pathologies, not identifiable wi ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

AC/DC Ratio Enhancement in Photoplethysmography Using a Pinned Photodiode

Christian Enz, Assim Boukhayma, Antonino Caizzone

Photoplethysmography (PPG) enables non-invasive vitals monitoring. Nevertheless, it is intrinsically limited by the extremely small AC/DC ratio, also called perfusion-index (PI). This increases the dynamic-range requirements to reliably process the PPG wav ...
2019

IoT for Telemedicine Practices enabled by an Android (TM) Application with Cloud System Integration

Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Abuduwaili Tuoheti, Nadia Tamburrano, Thiébaud Modoux

Connected medical devices are already paving the way towards the realization of Smart Hospitals where patient care is improved thanks to Internet of Things (IoT) solutions. Following this trend, in this paper we propose an IoT cloud-based network for anest ...
IEEE2018

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