Publications by authors named "Marcelo K Zuffo"

Background: Wheelchair positioning systems can prevent postural deficits and pressure injuries. However, a more effective professional follow-up is needed to assess and monitor positioning according to the specificities and clinical conditions of each user.

Objective: This study aims to present the concept of an electronic system embedded in a motorized wheelchair, based on the Internet of Things (IoT), for automated positioning as part of a study on wheelchairs and telemonitoring.

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The Internet of Things (IoT) leverages added valued services by the wide spread of connected smart devices. The Swarm Computing paradigm considers a single abstraction layer that connects all kinds of devices globally, from sensors to super computers. In this context, the Low-Power Wide-Area Network (LPWAN) emerges, spreading out connection to the IoT end devices.

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The fine needle biopsy is an important minimally invasive procedure for providing accurate diagnosis in cases of thyroid gland nodules. This paper presents the research, development and evaluation of a virtual reality simulator for the training of ultrasound guided needle biopsy of thyroid gland nodules, using 3D models and haptic devices. The system is also an educative tool, where the user can interact with a thyroid 3D model to feel its texture, as well as rotate a complete model of the neck with transparency in order to study all its internal organs.

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Segmentation of the tumor in neuroblastoma is complicated by the fact that the mass is almost always heterogeneous in nature; furthermore, viable tumor, necrosis, and normal tissue are often intermixed. Tumor definition and diagnosis require the analysis of the spatial distribution and Hounsfield unit (HU) values of voxels in computed tomography (CT) images, coupled with a knowledge of normal anatomy. Segmentation and analysis of the tissue composition of the tumor can assist in quantitative assessment of the response to therapy and in the planning of the delayed surgery for resection of the tumor.

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The aim of this project is to present a renderization by software algorithm of acquired volumetric data. The algorithm was implemented in Java language and the LWJGL graphical library was used, allowing the volume renderization by software and thus preventing the necessity to acquire specific graphical boards for the 3D reconstruction. The considered algorithm creates a model in OpenGL, through point primitives, where each voxel becomes a point with the color values related to this pixel position in the corresponding images.

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We have established a Web-based system in Brazil offering health information in childhood cancer and services such as electronic patient records and treatment protocols. The system was based on open-source software. The database has records for about 3,200 patients from 30 Brazilian hospitals.

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A telemedicine network has been established in Brazil to support distance medical practice in paediatric oncology. ONCONET comprises a national network of universities, research institutes and medical institutions. The system is Web-based and hosted on a high-performance computing infrastructure based on clusters of computers.

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We established a pilot telemedicine network for paediatric oncology in Brazil, linking the School of Medicine at the University of Sao Paulo in Sao Paulo City to the 'Hospital de Base' in Porto Velho, Rondonia, located in the Amazon region, 3,000 km away. The videoconferencing link used ISDN transmission at 384 kbit/s. The network was used for patient screening, follow-up, treatment monitoring and other activities.

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In the past we proposed the development of a bone marrow harvest simulator to support the learning of this procedure. This work presents some aspects of this development and shows the results and analysis of the simulator after its first evaluation.

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