This paper introduces an efficient Operational Transconductance Amplifier (OTA) design tailored for Transconductance–Capacitor ( \(G_\text {m}\) –C) filter applications in Electroencephalogram (EEG) beta band signal acquisition within brain–machine interface analog frontends. By addressing the inherent noise–power trade-off in OTA design, this method achieves remarkably low filter power consumption, measured at 41.7 nW. This achievement is facilitated by the novel utilization of a back-gate driven split-folded cascode (BG-SFC) OTA, functioning as a \(G_\text {m}\) cell. The resultant filter exhibits a bandwidth of 10.66- \(-\) 40.34 Hz with an approximate –100 dB/decade roll-off, total harmonic distortion (THD) below 1.5%, a dynamic range (DR) of 46.58 dB, and occupies \(0.028\,\textrm{mm}^{2}\) of silicon area. These characteristics render it well-suited for EEG beta band signal acquisition, particularly in the context of Parkinson’s Disease detection within analog frontend design (AFE).
