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. 2020 Feb 7;20(3):904. doi: 10.3390/s20030904

Table 2.

Comparison between different topologies of neural amplifiers.

Amplifier Topology Figure Ref. Pros Cons
CFN 3a [34] Accurate gain, suitable for multistage amplifier Large cap. area to obtain high gain
CFN with T-network 3b [40] Input and total cap. reduction Low-cutoff frequency increase
Electrode cap. and resistive feedback 3c [41] No need to input cap. Inaccurate and not adjustable high pass pole
OLN 3d [43] Small input cap. area Inaccurate gain
CAFN 3e [16,44] Smaller total cap. area compared to CFN Higher power consumption and noise compared to CFN
MCCFN 3f [45,46] Higher swing as a single stage high gain amplifier compared to CFN Higher power consumption compared to CFN, Higher area consumption compared to multistage CFN
Analog Integrator 4a [48] Elimination of input cap. Inaccurate gain and Low-cutoff frequency, Large power consumption
Differential difference amplifier 4b [49] Elimination of input cap. Inaccurate gain and Low-cutoff frequency, large off-chip passive components
Analog & digital DSL 4c [8,50] Relax analog DSL requirement due to digital DSL Large area and power consumption
Differential pair width modulation 4d [51,52] Fully-digital DC offset rejection IRN and CMRR variation with input offset variation, complexity overhead
Fully-digital DSL 11 [15] Fully-digital DC offset rejection Inaccurate gain, high power consumption and NEF