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Author: Giovanni Saggio

Affiliation: Dept. of Electronic Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, Rome, Italy

Keyword(s): Body Contact Sensors, Body Contactless Sensors, Machine Learning, Diagnosis.

Abstract: Effective medical tests are essential in supporting correct clinical decisions by medical doctors. But, have medical tests to be necessarily invasive and painful to be effective? During last decades, new developments of sensors and improvements of data analysis algorithms seem to paying the way to a (more or less near) future with completely non-invasive and not painful medical tests. This work aims to furnish a survey on what is going on within this frame, with an eye to new possibilities.

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Paper citation in several formats:
Saggio, G. (2020). Are Sensors and Data Processing Paving the Way to Completely Non-invasive and Not-painful Medical Tests for Widespread Screening and Diagnosis Purposes?. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIODEVICES; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 207-214. DOI: 10.5220/0009098002070214

@conference{biodevices20,
author={Giovanni Saggio.},
title={Are Sensors and Data Processing Paving the Way to Completely Non-invasive and Not-painful Medical Tests for Widespread Screening and Diagnosis Purposes?},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIODEVICES},
year={2020},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009098002070214},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIODEVICES
TI - Are Sensors and Data Processing Paving the Way to Completely Non-invasive and Not-painful Medical Tests for Widespread Screening and Diagnosis Purposes?
SN - 978-989-758-398-8
IS - 2184-4305
AU - Saggio, G.
PY - 2020
SP - 207
EP - 214
DO - 10.5220/0009098002070214
PB - SciTePress