Ponencia
Self-calibration of neural recording sensors
Autor/es | Rodríguez Pérez, Alberto
Delgado Restituto, Manuel Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2014 |
Fecha de depósito | 2019-10-07 |
Publicado en |
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ISBN/ISSN | 978-1-4799-2346-5 2163-4025 |
Resumen | This paper reports a calibration system for automatically adjusting the bandpass and gain characteristics of programmable E×G sensors. The calibration mechanism of the bandpass characteristic is based on a mixed-signal ... This paper reports a calibration system for automatically adjusting the bandpass and gain characteristics of programmable E×G sensors. The calibration mechanism of the bandpass characteristic is based on a mixed-signal tuning loop which uses as feedback signal the output of the data converter following the signal conditioning of the E×G sensor. Intended high-pass and low-pass frequency poles of the transfer function are injected into the loop by means of a direct frequency synthesizer followed by a smoothing atenuator. |
Identificador del proyecto | TEC2012-33634 |
Cita | Rodríguez Pérez, A., Delgado Restituto, M. y Rodríguez Vázquez, Á.B. (2014). Self-calibration of neural recording sensors. En 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Lausanne, Suiza: Institute of Electrical and Electronics Engineers. |
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