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MIPHAS: Military Performances and Health Analysis System

Topics: Decision Support Systems; Design and Development of Methodologies for Healthcare IT; Ehealth; eHealth Applications; Healthcare Management Systems; Medical Informatics; Mobile Technologies for Healthcare Applications; Pattern Recognition and Machine Learning; Wearable Health Informatics; Wellbeing Informatics

Authors: Gennaro Laudato 1 ; Giovanni Rosa 1 ; Simone Scalabrino 2 ; Jonathan Simeone 3 ; Francesco Picariello 4 ; Ioan Tudosa 4 ; Luca De Vito 4 ; Franco Boldi 5 ; Paolo Torchitti 5 ; Riccardo Ceccarelli 6 ; Fabrizio Picariello 7 ; Luca Torricelli 7 ; Aldo Lazich 8 and Rocco Oliveto 2

Affiliations: 1 STAKE Lab, University of Molise, Pesche (IS), Italy ; 2 STAKE Lab, University of Molise, Pesche (IS), Italy, Datasound SRL, Pesche (IS), Italy ; 3 Datasound SRL, Pesche (IS), Italy ; 4 LESIM lab, University of Sannio, Italy ; 5 XEOS, Roncadelle (BS), Italy ; 6 Formula Medicine, Viareggio (LU), Italy ; 7 TexTech Technologies, Reggio Emilia (RE), Italy ; 8 Ministero della Difesa, Roma (RM), Italy

ISBN: 978-989-758-398-8

Keyword(s): Wearable Devices, Machine Learning, Healthcare, Decision Support System.

Abstract: In the last few years wearable devices are becoming always more important. Their usefulness mainly lies in the continuous monitoring of vital parameters and signals, such as electrocardiogram. However, such a monitoring results in an enormous amount of data which cannot be precisely analyzed manually. This recalls the need of approaches and tools for the automatic analysis of acquired data. In this paper we present MIPHAS, a software system devised to meet this need in a well-defined context: the monitoring of athletes during sport activities. MIPHAS is a system composed of several components: a smart t-shirt, an electronic component, a web application, a mobile APP and an advanced decision support system based on machine learning techniques. This latter is the core component of MIPHAS dedicated to the automatic detection of potential anomalies during the monitoring of vital parameters.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Laudato, G.; Rosa, G.; Scalabrino, S.; Simeone, J.; Picariello, F.; Tudosa, I.; De Vito, L.; Boldi, F.; Torchitti, P.; Ceccarelli, R.; Picariello, F.; Torricelli, L.; Lazich, A. and Oliveto, R. (2020). MIPHAS: Military Performances and Health Analysis System.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 198-207. DOI: 10.5220/0008989401980207

@conference{healthinf20,
author={Gennaro Laudato. and Giovanni Rosa. and Simone Scalabrino. and Jonathan Simeone. and Francesco Picariello. and Ioan Tudosa. and Luca De Vito. and Franco Boldi. and Paolo Torchitti. and Riccardo Ceccarelli. and Fabrizio Picariello. and Luca Torricelli. and Aldo Lazich. and Rocco Oliveto.},
title={MIPHAS: Military Performances and Health Analysis System},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2020},
pages={198-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008989401980207},
isbn={978-989-758-398-8},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - MIPHAS: Military Performances and Health Analysis System
SN - 978-989-758-398-8
AU - Laudato, G.
AU - Rosa, G.
AU - Scalabrino, S.
AU - Simeone, J.
AU - Picariello, F.
AU - Tudosa, I.
AU - De Vito, L.
AU - Boldi, F.
AU - Torchitti, P.
AU - Ceccarelli, R.
AU - Picariello, F.
AU - Torricelli, L.
AU - Lazich, A.
AU - Oliveto, R.
PY - 2020
SP - 198
EP - 207
DO - 10.5220/0008989401980207

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