Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Multichannel neural amplifiers are commonly implemented with a shared reference whose input impedance is several times lor than that of the corresponding signal inputs. This huge impedance mismatch significantly degrades the total common mode rejection ratio (TCMRR) regardless of the amplifier’s intrinsic CMRR (ICMRR). This study reports a multichannel neural amplifier system that eliminates this impedance mismatch problem by using single-ended CMOS-inverter-based preamplifiers for both the reference and signal inputs. A common-mode feedback (CMFB) loop through the supply rails of the preamplifiers is implemented to enhance their ac input common mode range to   $220\;\text{mV}_\text{pp}$   and their ICMRR to more than 90 dB at low frequencies. The ICMRR is maintained above 80 dB up to 1 kHz by minimizing the load drive mismatch beten the signal and reference preamplifiers. Implemented in a CMOS 65 nm process, this 16-channel amplifier system operates at 1 V and consumes   $118\; \upmu\text{W}$  . It has input referred noise of   $4.13\; \upmu\text{V}_\text{rms}$  , leading to a noise efficiency factor (NEF) and a por efficiency factor (PEF) of 3.19 and 10.17, respectively.  In vivo  recordings of cortical neurons of a macaque re successfully acquired, demonstrating the ability of the amplifier to acquire neural signals in an unshielded environment.
['Kian Ann Ng', 'Yong Ping Xu']
I am writing a research paper on a idea A Low-Power, High CMRR Neural Amplifier System Employing CMOS Inverter-Based OTAs With CMFB Through Supply Rails
[{"from": "human", "value": "I am writing a research paper on a idea A Low-Power, High CMRR Neural Amplifier System Employing CMOS Inverter-Based OTAs With CMFB Through Supply Rails"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Multichannel neural amplifiers are commonly implemented with a shared reference whose input impedance is several times lor than that of the corresponding signal inputs. This huge impedance mismatch significantly degrades the total common mode rejection ratio (TCMRR) regardless of the amplifier\u2019s intrinsic CMRR (ICMRR). This study reports a multichannel neural amplifier system that eliminates this impedance mismatch problem by using single-ended CMOS-inverter-based preamplifiers for both the reference and signal inputs. A common-mode feedback (CMFB) loop through the supply rails of the preamplifiers is implemented to enhance their ac input common mode range to   $220\\;\\text{mV}_\\text{pp}$   and their ICMRR to more than 90\u00a0dB at low frequencies. The ICMRR is maintained above 80\u00a0dB up to 1\u00a0kHz by minimizing the load drive mismatch beten the signal and reference preamplifiers. Implemented in a CMOS 65\u00a0nm process, this 16-channel amplifier system operates at 1\u00a0V and consumes   $118\\; \\upmu\\text{W}$  . It has input referred noise of   $4.13\\; \\upmu\\text{V}_\\text{rms}$  , leading to a noise efficiency factor (NEF) and a por efficiency factor (PEF) of 3.19 and 10.17, respectively.  In vivo  recordings of cortical neurons of a macaque re successfully acquired, demonstrating the ability of the amplifier to acquire neural signals in an unshielded environment."}]