A Sub-µW Reconfigurable Front-End for Invasive Neural Recording
| Autor: | Ángel Rodríguez-Vázquez, Jose Luis Valtierra, Manuel Delgado-Restituto, Rafaella Fiorelli |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Physics Reconfigurable 030103 biophysics 020208 electrical & electronic engineering Ultra-low power Topology (electrical circuits) 02 engineering and technology Topology Neural front-end Signal Noise (electronics) Frequency spectrum Radio spectrum Front and back ends 03 medical and health sciences Signal-to-noise ratio 0202 electrical engineering electronic engineering information engineering Neural recording Wideband |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname LASCAS |
| Popis: | This paper presents a sub-μW ac-coupled reconfigurable front-end for the purpose of neural recording. The proposed topology embeds in it filtering capabilities allowing it to select among different frequency bands inside the neural signal spectrum. Power consumption is optimized by designing for bandwidth-specific noise targets that take into account the spectral characteristics of the input signal as well as the noise bandwidths of the noise generators in the circuit itself. An experimentally verified prototype designed in a 180 nm CMOS process draws a maximum of 815 nW from a 1 V source. The measured input-referred spot-noise at 500 Hz is 75 nV/√Hz while the integrated noise in the 200 Hz - 5 kHz band is 4.1 μVrms. Ministerio de Economía y Competitividad TEC2016-80923- P Junta de Andalucía TIC 2338 |
| Databáze: | OpenAIRE |
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