Paper Info
Title
A bidirectional neural interface featuring a tunable recorder and electrode impedance estimation.
Abstract
This paper presents an improved, bi-directional neural interface with a tunable lower cut-off frequency and an online electrode impedance estimation. Each channel features a low voltage (LV) recorder and a high voltage (HV) stimulator, separated by a HV protection network. The recorder utilizes a 3-Bit switched capacitor (SC), serial DAC to adjust the resistance of a MOS-bipolar pseudo-resistor in the neural recorder. Thereby, its lower cut-off frequency can be adjusted between 15 mHz and 70 Hz, with a logarithmic scaling. Additionally a low-gain mode is implemented which together with the HV stimulator allows for an estimation of the electrode impulse response. From this impulse response the parameters of a simplified electrode model can be calculated, with a simulated accuracy of +/- 15 %. A single channel prototype has been layouted and is currently manufactured in a 180 nm HV CMOS technology. The prototype occupies an area of 715 mu m x 580 mu m. It has a simulated power consumption of 58 mu W per channel of which 11 mu W are consumed in the tunable Low Noise Amplifier (LNA). The simulated, input referred noise of the LNA ranges between 3.2 mu Vrms (70 Hz - 7.5 kHz) and 4.5 mu Vrms (0.1 Hz - 7.5 kHz) depending on the adjusted value of the lower cut-off frequency.
Year
Venue
Field
2016
PROCEEDINGS OF 2016 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)
Impulse response,Low-noise amplifier,Computer science,Electronic engineering,CMOS,Switched capacitor,Resistor,Low voltage,High voltage,Electrical engineering,Electrode
DocType
ISSN
Citations 
Conference
2163-4025
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Michael Haas121.07
Jens Anders26024.75
Maurits Ortmanns3501114.46