D
Domenico Formica
Researcher at Università Campus Bio-Medico
Publications - 155
Citations - 3293
Domenico Formica is an academic researcher from Università Campus Bio-Medico. The author has contributed to research in topics: Computer science & Respiratory monitoring. The author has an hindex of 24, co-authored 138 publications receiving 2355 citations.
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Journal ArticleDOI
Modulation of brain plasticity in stroke: a novel model for neurorehabilitation
Giovanni Di Pino,Giovanni Pellegrino,Giovanni Assenza,Fioravante Capone,Florinda Ferreri,Domenico Formica,Federico Ranieri,Mario Tombini,Ulf Ziemann,John C. Rothwell,Vincenzo Di Lazzaro +10 more
TL;DR: A bimodal balance–recovery model is suggested that links interhemispheric balancing and functional recovery to the structural reserve spared by the lesion, which could enable NIBS to be tailored to the needs of individual patients.
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Optical fiber-based MR-compatible sensors for medical applications: an overview
TL;DR: The working principles of the most promising MR-compatible FOS are reviewed in terms of their relevant advantages and disadvantages, together with their applications in medicine.
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Biological effects of exposure to magnetic resonance imaging: an overview.
TL;DR: This work gives an overview of the findings about the safety concerns of exposure to static magnetic fields, radio-frequency fields, and time varying magnetic field gradients, focusing primarily on the physics of the interactions between these electromagnetic fields and biological matter.
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Wearable System Based on Flexible FBG for Respiratory and Cardiac Monitoring
Daniela Lo Presti,Carlo Massaroni,Jessica D'Abbraccio,Luca Massari,Michele Arturo Caponero,Umile Giuseppe Longo,Domenico Formica,Calogero Maria Oddo,Emiliano Schena +8 more
TL;DR: In this article, a flexible sensor based on an FBG encapsulated into Dragon skin 20 silicone rubber was used for developing a wearable system for respiratory and cardiac rates' monitoring, which was evaluated on healthy volunteers to evaluate its suitability for monitoring respiratory frequency and heart rate.
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Performance Evaluation of Bluetooth Low Energy: A Systematic Review
TL;DR: This work reviews the main methodologies adopted to investigate BLE performance, and analyzes throughput, maximum number of connectable sensors, power consumption, latency and maximum reachable range with the aim to identify what are the current limits of BLE technology.