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Your search keyword '"Maccione, G"' showing total 2 results
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2 results on '"Maccione, G"'

1. Towards the improvement of postural stability through audio bio-feedback

Author

Costantini, G, Casali, D, Todisco, M, Saggio, G, Maccione, G, and Giansanti, D

Subjects
business.product_category, sensor interface, Computer science, business.industry, Gyroscope, Accelerometer, Settore ING-INF/01 - Elettronica, audio feedback, Bio-feedback, e-rehabilitation, postural stability, law.invention, Set (abstract data type), Acceleration, law, Arduino, Embedded system, Laptop, Real-time data, business, Headphones, Simulation
Abstract

We describe a bio-feedback system for rehabilitation based on an accelerometric sensor, a processing unit and an output unit. The sensory unit, which incorporates a cell with three uni-axial accelerometers and three rate gyroscopes, is mounted on the subject's back (L5 level) using a velcro belt and allows to evaluate the trunk accelerations in the anterior-posterior (AP) and medial-lateral (ML) directions. The processing unit is composed by a laptop with Arduino board, able to acquire in real time data coming from sensory unit through the data acquisition module of Max/MSP, and to produce an audio output. The output unit is a pair of headphones which produce a kind of sound whose activation level is proportional to the magnitude of patient's displacement. A set of experiments have been carried out in order to measure the performance of this system, and results show that it can significantly improve rehabilitation times.

Published
2015
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2. Structural equation modeling to shed light on the controversial role of climate on the spread of SARS-CoV-2.

Author

Spada A, Tucci FA, Ummarino A, Ciavarella PP, Calà N, Troiano V, Caputo M, Ianzano R, Corbo S, de Biase M, Fascia N, Forte C, Gambacorta G, Maccione G, Prencipe G, Tomaiuolo M, and Tucci A

Subjects
Atmospheric Pressure, COVID-19 epidemiology, COVID-19 pathology, COVID-19 virology, Humans, Humidity, Population Density, Prevalence, Rain, SARS-CoV-2 isolation & purification, Temperature, COVID-19 transmission, Climate, Models, Theoretical
Abstract

Climate seems to influence the spread of SARS-CoV-2, but the findings of the studies performed so far are conflicting. To overcome these issues, we performed a global scale study considering 134,871 virologic-climatic-demographic data (209 countries, first 16 weeks of the pandemic). To analyze the relation among COVID-19, population density, and climate, a theoretical path diagram was hypothesized and tested using structural equation modeling (SEM), a powerful statistical technique for the evaluation of causal assumptions. The results of the analysis showed that both climate and population density significantly influence the spread of COVID-19 (p < 0.001 and p < 0.01, respectively). Overall, climate outweighs population density (path coefficients: climate vs. incidence = 0.18, climate vs. prevalence = 0.11, population density vs. incidence = 0.04, population density vs. prevalence = 0.05). Among the climatic factors, irradiation plays the most relevant role, with a factor-loading of - 0.77, followed by temperature (- 0.56), humidity (0.52), precipitation (0.44), and pressure (0.073); for all p < 0.001. In conclusion, this study demonstrates that climatic factors significantly influence the spread of SARS-CoV-2. However, demographic factors, together with other determinants, can affect the transmission, and their influence may overcome the protective effect of climate, where favourable.

Published
2021
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