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Ponencia
A 4-mode reconfigurable low noise amplifier for implantable neural recording channels
(Institute of Electrical and Electronics Engineers, 2016)
In this paper a reconfigurable implantable low noise amplifier for the recording of neural signals is presented. It is comprised by low-power and noise efficient current reuse OTAs in its direct path. The proposed architecture ...
Artículo
System-Level Design of a 64-Channel Low Power Neural Spike Recording Sensor
(Institute of Electrical and Electronics Engineers, 2017)
This paper reports an integrated 64-channel neural spike recording sensor, together with all the circuitry to process and configure the channels, process the neural data, transmit via a wireless link the information and ...
Ponencia
A Sub-µW Reconfigurable Front-End for Invasive Neural Recording
(Institute of Electrical and Electronics Engineers, 2019)
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 ...
Ponencia
An auto-calibrated neural spike recording channel with feature extraction capabilities
(The International Society for Optics and Photonics, 2011)
This paper presents a power efficient architecture for a neural spike recording channel. The channel offers a selfcalibration operation mode and can be used both for signal tracking (to raw digitize the acquired neural ...
Ponencia
A 2.2 μW analog front-end for multichannel neural recording
(Institute of Electrical and Electronics Engineers, 2017)
In this paper an analog front-end for the multi-channel implantable recording of neural signals is presented. It is comprised by a two-stage AC-coupled low-noise amplifier (LNA) and a one stage AC-coupled variable gain ...