Arduino based System for Indoor and Outdoor ECG Monitoring - Functions and Extended User Model Ontology
Carmelo Pino, Alfio Costanzo
2014
Abstract
In this paper a system for monitoring the environment and biometric parameters like ECG for cardiac patients is presented. Monitoring Health Environment can be considered important like monitoring the patient in direct way. In this paper we propose an architecture consisting of a sensors network to monitor the patient environment in conjunction with other biometric parameters like ECG with the aim to control the health status in outdoor and indoor conditions. The monitoring system makes use of different sensors such as: oxygen level, air quality, humidity, temperature, ECG, integrated with an Arduino controller. The observed data are sent via GPRS or Wi-Fi to a server to activate the regulation of the environment conditions. Patient environment and health status can be monitored in remote way by mobile thanks to a specific App.
References
- Basilakis J., N. H. Lovell, and B. G. Celler, "A decision support architecture for telecare patient management of chronic and complex Disease," in Proc. 29th Annual Int. Conf. of IEEE Engineering in Medicine and Biology Society, pp. 4335-4338, 2007.
- Cannavò F., G. Nunnari, D. Giordano, C. Spampinato, Variational Method for Image Denoising by Distributed Genetic Algorithms on GRID Environment. Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 7806. 227-234, IEEE, 2006.
- Celler B. G., N. H. Lovell, and J. Basilakis, "Using information technology to improve the management of chronic disease," The Medical journal of Australia, vol. 179, pp. 242-246, 2003.
- Cho, S., Jo, H., Jang, S., Park, J., Jung, H. J., Yun, C. B., Spencer, Jr., B.F . and Seo, J., “Structural health monitoring of a cable-stayed bridge using smart sensor technology: data analysis”, Smart Struct. Syst., 6(5-6), 461-480, 2010.
- Costanzo A., A. Faro, D. Giordano, Towards Open and Interoperable Information Platforms for Mobile Users: RDF Methodology and Case Study, AICT 13, Baku, 2013.
- Costanzo A., A. Faro, D. Giordano, Wi-City: living, deciding and planning using mobiles in Intelligent Cities , 3rd International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS13, Barcelona, INSTICC, 2013.
- Costanzo A., C. Pino, A Portable Arduino based Health Monitoring System for Elderly People Living at Home. Submitted to PhyCS 2014, Lisbon.
- Crisafi A., Giordano D., Spampinato C., GRIPLAB 1.0: Grid Image Processing Laboratory for Distributed Machine Vision Applications. Proc. Int. Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 7808. 188-191, IEEE, 2008.
- Faro A., D. Giordano, A. Musarra, Ontology Based Mobility Information Systems. Proc. of IEEE Systems, Men and Cybernetics SMC03, vol.3, 4288-4293, 2003.
- Faro A., D. Giordano, C. Spampinato, Integrating Location Tracking, Traffic Monitoring and Semantics in a Layered ITS Architecture. Intelligent Transport Systems, vol.5(3), 197-206, 2011.
- Faro A., D. Giordano, C. Spampinato, Evaluation of the traffic parameters in a metropolitan area by fusing visual perceptions and CNN processing of webcam images, IEEE Trans. on Neural Networks, Vol.19(6), pp.1108-1129, 2008.
- Faro A., D. Giordano, C. Spampinato, An automated tool for face recognition using visual attention and active shape models analysis, Proc. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, 2006.
- Gargiulo G., et. al., “Wearable dry sensors with bluetooth connection for use in remote patient monitoring systems”. Global Telehealt, 2010.
- Heckmann D., et al., GUMO, the General User Model Ontology, LNCS, N.3538, Springer, 2005.
- Radhakrishnan K., et al., “Use of a homecare electronic health record to find associations between patient characteristics and re-hospitalizations in patients with heart failure using telehealth”. J Telemed Telecare, 2013.
- Xie Y., et. al, Lovell Effect of ECG Quality Measures on Piecewise- Linear Trend Detection for Telehealth Decision Support System, Annual Conference, Proceedings of the Annual International Conference of the IEEE EMBS, 2010.
Paper Citation
in Harvard Style
Pino C. and Costanzo A. (2014). Arduino based System for Indoor and Outdoor ECG Monitoring - Functions and Extended User Model Ontology . In Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 331-335. DOI: 10.5220/0004762203310335
in Bibtex Style
@conference{phycs14,
author={Carmelo Pino and Alfio Costanzo},
title={Arduino based System for Indoor and Outdoor ECG Monitoring - Functions and Extended User Model Ontology},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2014},
pages={331-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004762203310335},
isbn={978-989-758-006-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Arduino based System for Indoor and Outdoor ECG Monitoring - Functions and Extended User Model Ontology
SN - 978-989-758-006-2
AU - Pino C.
AU - Costanzo A.
PY - 2014
SP - 331
EP - 335
DO - 10.5220/0004762203310335