982 research outputs found
Signal Processing Techniques for Data Analysis in Telerehabilitation: Intelligent Remote Rehabilitation Monitoring Enhancement
No full textIn recent years, ICT and IOT devices have been employed to monitor and assist
with patients’ rehabilitation, as well as to analyze their conditions and create and
update individualized care plans. Additionally, they promote continuity of care by
allowing a patient to continue receiving supervision from a multidisciplinary team
even after being released from the hospital. Virtual reality and exergames are further
ICT-enabled technologies that have shown strong potential in the treatment
of cognitive and motor impairments.
The implementation of the ReMoVES telerehabilitation platform in different situations
is the focus of the current thesis. In order to extract the key features and
examine the statistical significance between the patient and healthy groups, the
main contribution of the research activity is to offer a method for evaluating a
subject’s rehabilitation efforts while giving special attention to the pre-processing
of the multidimensional signals obtained during rehabilitation sessions.
In addition, there will be a proposal, description, and application of a systematic
protocol for signal processing and data analysis for specific clinical scenarios
The role of chemistry in the retardant effect of dimethyl methylphosphonate in flame–wall interaction
No full textOrganophosphorous compounds can act as chemical inhibitors for fire suppression and have recently received significant attention in the combustion community due to their potential to induce flame extinction through a radical recombination process. To optimize their use, a comprehensive understanding of the extinction dynamics is essential. In this study, mixtures of methane with dimethyl methylphosphonate (DMMP) are investigated in laminar conditions, with a specific focus on flame–wall interaction. The ultimate objective is obtaining a deeper insight into the flame quenching process, which is synergistically enhanced by heat transfer to the wall and the chemical retardant effect of DMMP. Detailed chemistry information is implemented by setting up an ad-hoc skeletal kinetic mechanism. This is developed and validated for flame configurations with increasing complexity, including freely propagating premixed flames, head-on-quenching flames, and side-wall quenching flames. The results indicate that the skeletal mechanism is able to reproduce available experimental data for flame speed and ignition delay time, as well as the main flame features and quenching characteristics in flame–wall interactions for an increasing level of DMMP. Simulations of a side-wall quenching burner, incorporating a secondary fuel injection through a porous insert at the wall, are carried out. Chemical analyses provide detailed insight into the role of flame retardant during the flame quenching process. The results show that the HOPO/PO2 catalytic cycle is of major importance for the suppressant effect, further supported by the formation of CH3PO2 as an intermediate, increasing the formation of HOPO itself. Moreover, the CO mass fraction is observed to increase also because of the radical scavenging effect, inhibiting the conversion to CO2 via CO + OH → CO2 + H. Overall, this study advances the understanding of the chemical features of flame quenching in the presence of flame retardants containing implications for fire safety applications
Correction to: Management of hepatitis B virus prophylaxis in patients treated with disease-modifying therapies for multiple sclerosis: a multicentric Italian retrospective study (Journal of Neurology, (2022), 269, 6, (3301-3307), 10.1007/s00415-022-11009-x)
No full textThe original version of this article unfortunately contained a mistake. The given and family names of authors were Interchanged and Dr. Spiezia has two given names (Antonio Luca). The author names should be Antonio Riccardo Buonomo, Giulio Viceconte, Massimiliano Calabrese, Giovanna De Luca, Valentina Tomassini, Paola Cavalla, Giorgia Teresa Maniscalco, Diana Ferraro, Viviana Nociti, Marta Radaelli, Maria Chiara Buscarinu, Damiano Paolicelli, Alberto Gajofatto, Pietro Annovazzi, Federica Pinardi, Massimiliano Di Filippo, Cinzia Cordioli, Emanuela Zappulo, Riccardo Scotto, Ivan Gentile, Antonio Luca Spiezia, Martina Petruzzo, Marcello De Angelis, Vincenzo Brescia Morra, Claudio Solaro, Claudio Gasperini, Eleonora Cocco, Marcello Moccia, Roberta Lanzillo The original article has been corrected
Draunara, installation, Federica Cellini, 2014
No full text Draunara, Federica Cellini, Ana B.K, widewalls.ch , 26/05/2014 "Washed away onto the shores of the island, migrants from Africa keep arriving to Lampedusa, a small island just off the coast of Sicily. (...) The Unstoppable Tempest Draunara takes its name from the local term for a storm that swoops over the island coming from the sea. The author of the piece draws a parallel between the tempest and the overwhelming number of people arriving from the same direction. Although the arrivals ar..
Signal Processing and Feature Extraction in Markerless Telerehabilitation
No full textTelerehabilitation solutions are a concrete answer to many needs in the healthcare framework since they enable remote support for patients and foster continuity of care. This paper explores telerehabilitation using the ReMoVES system, a markerless approach that facilitates remote exercise guidance. Focusing on the sit-to-stand (STS) task, which is crucial for daily activities, this study employs the Microsoft Kinect sensor for human movement monitoring. Emphasizing preprocessing and analysis, the research extracts reliable parameters, enabling remote observation and evaluation of patient performance. This study highlights the importance of noise reduction and automatic segmentation for feature extraction, which are essential for assessing task execution and identifying compensatory movements. By utilizing a diverse healthy subject group, a reference model is established, providing optimal features for accurate exercise execution. Statistical analyses involving both healthy subjects and patients revealed key features for remote exercise observation. Automatic feature extraction related to poses and body movements, together with homogeneity within control group sessions, forms the basis for a quantitative parametric model. This model describes and compares accurate exercise execution, offering a method to remotely evaluate and adapt individual rehabilitation plans on the basis of robust and reliable parameters
Camera Color Correction for Cultural Heritage Preservation Based on Clustered Data
No full textCultural heritage preservation is a crucial topic for our society. When dealing with fine art, color is a primary feature that encompasses much information related to the artwork’s conservation status and to the pigments’ composition. As an alternative to more sophisticated devices, the analysis and identification of color pigments may be addressed via a digital camera, i.e., a non-invasive, inexpensive, and portable tool for studying large surfaces. In the present study, we propose a new supervised approach to camera characterization based on clustered data in order to address the homoscedasticity of the acquired data. The experimental phase is conducted on a real pictorial dataset, where pigments are grouped according to their chromatic or chemical properties. The results show that such a procedure leads to better characterization with respect to state-of-the-art methods. In addition, the present study introduces a method to deal with organic pigments in a quantitative visual approach
correction idelalisib exposure before allogenic stem cell transplantation in patients with follicular lymphoma an EBMT survey
No full textThe article “Idelalisib exposure before allogeneic stem cell transplantation in patients with follicular lymphoma: an EBMT survey”, written by Leopold Sellner, Johannes Schetelig, Linda Koster, Goda Choi, Didier Blaise, Dietrich Beelen, Fabrizio Carnevale Schianca, Jakob Passweg, Urs Schanz, Emmanuel Gyan, Federica Sora, Nicolaus Kröger, Gerald. G. Wulf, Gwendolyn Van Gorkom, Jiri Mayer, Corentin Orvain, Jean Henri Bourhis, Pavel Jindra, Victoria Potter, Francesco Zallio, Elisabeth Vandenberghe, Stephen Robinson, Patrick J. Hayden, Ibrahim Yakoub-Agha, Silvia Montoto, Peter Dreger, on behalf of the European Society for Blood and Marrow Transplantation Lymphoma and Chronic Malignancies Working Parties, was originally published Online First without Open Access. After publication in volume 55, issue 12, page 2335–2338, the author decided to opt for Open Choice and to make the article an Open Access publication. Therefore, the copyright of the article has been changed to © The Author(s) 2020 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder
- …
