Open source data sensing software for ultrasonic non-invasive temperature estimation

In this paper, an open source solution for measurement of temperature and ultrasonic signals (RF-lines) is proposed. This software is an alternative to the expensive commercial data acquisition software, enabling the user to tune applications to particular acquisition architectures. The collected ultrasonic and temperature signals were used for non-invasive temperature estimation using neural networks. The existence of precise temperature estimators is an essential point aiming at the secure and effective applica tion of thermal therapies in humans. If such estimators exist then effective controllers could be developed for the therapeutic instrumentation. In previous works the time-shift between RF-lines echoes were extracted, and used for creation of neural networks estimators. The obtained estimators successfully represent the temperature in the time-space domain, achieving a maximum absolute error inferior to the threshold value defined for hyperthermia/diathermia applications.

Remote data acquisition system of environmental data

The implementation of an accurate and reliable data acquisition system is the first step to develope a good control system. This data acquisition should provide valuable data readings, not only for control purposes but also for applications in different research areas.

Design and implementation of a real-time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse

This text describes a real data acquisition and identification system implemented in a soilless greenhouse located at the University of Algarve (south of Portugal). Using the Real Time Workshop, Simulink, Matlab and the C programming language a system was developed to perform real-time data acquisition from a set of sensors.

Real-time data acquisition system for the Identification of dynamic temperature models in a hydroponic greenhouse

A real-time data acquisition and identification system implemented in a soil-less greenhouse located in the south of Portugal is described. The system performs real-time data acquisition from a set of sensors connected to a data logger.

A incorporação das preferências do utilizador no desenvolvimento de software para dados biomédicos: uma contribuição da análise conjunta nas tecnologias de informação da saúde

O aumento significativo de patologias relacionadas com a alimentação, designadamente a obesidade, considerada pela Organização Mundial de Saúde como a “epidemia do século XXI”, remete o profissional da área da nutrição para a necessidade de uma intervenção cada vez mais eficiente. O objectivo deste estudo é avaliar a necessidade do desenvolvimento de novas tecnologias que possibilitem o auxílio aos processos de apoio nutricional, assim como medir as preferências no desenvolvimento de software. Para isso, utilizou-se a Análise Conjunta, na qual os resultados agregados foram hierarquizados mediante uma Análise Categórica de Componentes Principais, para posterior segmentação dos individuos, mediante uma Análise de Clusters Hierárquicos. Neste estudo, pode verificar-se que não existe preferências no desenvolvimento de software genérico, havendo uma grande receptividade dos profissionais de saúde ao desenvolvimento da Telemedicina na área da nutrição. Por fim, existem diferenças, estatisticamente significativas, entre os profissionais da área da nutrição, o que permite a sua caracterização.

A scalable and open source linear positioning system controller

This paper is on the implementation of a dual axis positioning system controller. The system was designed to be used for space-dependent ultrasound signal acquisition problems, such as pressure field mapping. The work developed can be grouped in two main subjects: hardware and software. Each axis includes one stepper motor connected to a driver circuit, which is then connected to a processing unit. The graphical user interface is simple and clear for the user. The system resolution was computed as 127 mu m with an accuracy of 2.44 mu m. Although the target application is ultrasound signal acquisition, the controller can be applied to other devices that has up to four stepper motors. The application was developed as an open source software, thus it can be used or changed to fit different purposes.