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Dissertação de mestrado integrado em Engenharia Biomédica

RFID technology (Radio Frequency IDentification) enables putting an identification label (e.g. tag) into a certain object and, by means of a reader, get the information related to it without any physical contact. The use of these tags in medical context enables a rapid and precise identification of each patient and, by means of Internet of Things (IoT), enables a ubiquitous and quick access to medical related records. These technologies, RFID and IoT, integrated within a suitable system, promote a better physician-patient interaction. A simple IoT-enabled system can send warnings to any physician, nurse or other health caregiver. Therefore, with a simple IoT architecture one may remotely monitor and control the patient's well being. This paper presents an IoT architecture, using RFID tags, able to easily and remotely establish a medica...

Currently ImageJ presents itself as a good working tool for medical imaging research. Image processing and analysis using specific ImageJ plugins is a simple process, mainly due to its natively support for a wide range of image formats. However, there are medical imaging modalities (e.g. endoscopy, ultrasound), with video output formats that are still not supported by ImageJ (e.g. VOB, MPG). With the base package of ImageJ it is possible to open videos in AVI format1 and with additional plugins (e.g., QuickTime Movie Writer2, JMF Movie Reader3, QuickTime Opener4) videos in Quicktime Movie format (i.e. MOV and PIC) are also supported. For other video formats it is necessary to convert the video to a supported format using a third party video converter application. A video is basically a temporal sequence of images. An average endoscopy ...