Ponencia
Real-time phase correlation based integrated system for seizure detection
Autor/es | Romaine, James Brian
Delgado Restituto, Manuel Leñero Bardallo, Juan Antonio Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2017 |
Fecha de depósito | 2019-12-16 |
Publicado en |
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ISBN/ISSN | 978-151060995-2 0277-786X |
Resumen | This paper reports a low area, low power, integer-based digital processor for the calculation of phase synchronization between two neural signals. The processor calculates the phase-frequency content of a signal by identifying ... This paper reports a low area, low power, integer-based digital processor for the calculation of phase synchronization between two neural signals. The processor calculates the phase-frequency content of a signal by identifying the specific time periods associated with two consecutive minima. The simplicity of this phase-frequency content identifier allows for the digital processor to utilize only basic digital blocks, such as registers, counters, adders and subtractors, without incorporating any complex multiplication and or division algorithms. In fact, the processor, fabricated in a 0.18μm CMOS process, only occupies an area of 0.0625μm2 and consumes 12.5nW from a 1.2V supply voltage when operated at 128kHz. These low-area, low-power features make the proposed processor a valuable computing element in closed loop neural prosthesis for the treatment of neural diseases, such as epilepsy, or for extracting functional connectivity maps between different recording sites in the brain. |
Identificador del proyecto | TEC2016- 80923-P |
Cita | Romaine, J.B., Delgado Restituto, M., Leñero Bardallo, J.A. y Rodríguez Vázquez, Á.B. (2017). Real-time phase correlation based integrated system for seizure detection. En Bio-MEMS and Medical Microdevices III Conference (1024709-), Barcelona, España: The Society of Photo-Optical Instrumentation Engineers. |
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