Swarm intelligence-based mono and multi-objective methods for sizing preamplifier circuits for biomedical applications

Preamplifier
DOI: 10.1504/ijnp.2022.126393 Publication Date: 2022-10-25T11:30:25Z
ABSTRACT
In this article, various high-performance optimisation algorithms are used to optimise circuit parameters: firstly in a modified double ended differential amplifier for area optimisation; and secondly an adaptive recycling folded cascode deal with noise power trade-off. These circuits as preamplifiers neural ailment such epileptic seizure recording systems. Amongst the analogue design challenges preamplifier, minimum consumption good trade-off necessary pre-requisites which require consideration. Traditional sizing methods tedious prone human error, so alternative method is auto-size parameters. work, single objective implemented minimise circuit, where whale algorithm convergences earliest. While multi-verse multi-objective shows performance maintain results evaluated compared MATLAB Cadence environment.
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