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33 results on '"Pierleoni, Paola"'

22. A new chaotic algorithm for video encryption

Author

Chiaraluce, Franco, Ciccarelli, Lorenzo, Gambi, Ennio, Pierleoni, Paola, and Reginelli, Maurizio

Subjects
Business, Electronics and electrical industries, Engineering and manufacturing industries
Abstract

We present a new encryption algorithm for the video signal that, employing suitably arranged chaotic functions, allows to increase the security level while maintaining acceptable processing times. We analyze the performance of the new scheme either though simulation or via practical implementation, thus demonstrating its efficiency, also in comparison with previous proposals. Index Terms--Chaotic functions, Cryptography, Secure transmissions, Video Encryption Algorithm.

Published
2002

27. An Android-Based Heart Monitoring System for the Elderly and for Patients with Heart Disease

Author

Pierleoni, Paola, Pernini, Luca, Belli, Alberto, and Palma, Lorenzo

Subjects
Telemedicine, Article Subject, Heart disease, Computer Networks and Communications, business.industry, lcsh:R, Heart rate monitor, Online database, lcsh:Medicine, Medicine (miscellaneous), Health Informatics, Disease, Energy consumption, medicine.disease, Health Information Management, medicine, Medical emergency, Myocardial infarction, Android (operating system), business, Simulation, Research Article
Abstract

The current trend in health monitoring systems is to move from the hospital to portable personal devices. This work shows how consumer devices like heart rate monitors can be used not only for applications in sports, but also for medical research and diagnostic purposes. The goal pursued by our group was to develop a simple, accurate, and inexpensive system that would use a few pieces of data acquired by the heart rate monitor and process them on a smartphone to (i) provide detailed test reports about the user’s health state; (ii) store report records; (iii) generate emergency calls or SMSs; and (iv) connect to a remote telemedicine portal to relay the data to an online database. The system developed by our team uses sophisticated algorithms to detect stress states, detect and classify arrhythmia events, and calculate energy consumption. It is suitable for use by elderly subjects and by patients with heart disease (e.g., those recovering from myocardial infarction) or neurological conditions such as Parkinson’s disease. Easy, immediate, and economical remote health control can therefore be achieved without the need for expensive hospital equipment, using only portable consumer devices.

Published
2014

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