Ponencia
Artifact-Aware Analogue/Mixed-Signal Front-Ends for Neural Recording Applications
Autor/es | Pérez Prieto, Norberto
Delgado Restituto, Manuel Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2019 |
Fecha de depósito | 2019-11-29 |
Publicado en |
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ISBN/ISSN | 978-1-7281-0397-6 2158-1525 |
Resumen | This paper presents a brief review of techniques to overcome the problems associated with artifacts in analog frontends for neural recording applications. These techniques are employed for handling Common-Mode (CM) ... This paper presents a brief review of techniques to overcome the problems associated with artifacts in analog frontends for neural recording applications. These techniques are employed for handling Common-Mode (CM) Differential-Mode (DM) artifacts and include techniques such as Average Template Subtraction, Channel Blanking or Blind Adaptive Stimulation Artifact Rejection (ASAR), among others. Additionally, a new technique for DM artifacts compression is proposed. It allows to compress these artifacts to the requirements of the analog frontend and, afterwards, it allows to reconstruct the whole artifact or largely suppress it. |
Identificador del proyecto | TEC2016-80923-P |
Cita | Pérez Prieto, N., Delgado Restituto, M. y Rodríguez Vázquez, Á.B. (2019). Artifact-Aware Analogue/Mixed-Signal Front-Ends for Neural Recording Applications. En IEEE International Symposium on Circuits and Systems (ISCAS) Sapporo, Japón: Institute of Electrical and Electronics Engineers. |
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