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Open source data sensing software for ultrasonic non-invasive temperature estimation
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Resumo(s)
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.
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Citação
Teixeira, C. A.; Ruano, M. G.; Ruano, A. E.; Pereira, W. C.A . Open source data sensing software for ultrasonic non-invasive temperature estimation, Trabalho apresentado em 5th Ibero-American Congress on Sensors - Ibersensor 2006, In Proceedings of the 5th Ibero-American Congress on Sensors - Ibersensor 2006, Montevideo, 2006.