Exploiting Electrocorticographic Spectral Characteristics for Optimized Signal Chain Design: A 1.08 W Analog Front End With Reduced ADC Resolution Requirements
- Resource Type
- Periodical
- Authors
- Smith, W. A.; Mogen, B. J.; Fetz, E. E.; Sathe, V. S.; Otis, B. P.
- Source
- IEEE Transactions on Biomedical Circuits and Systems IEEE Trans. Biomed. Circuits Syst. Biomedical Circuits and Systems, IEEE Transactions on. 10(6):1171-1180 Dec, 2016
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Thermal noise
Brain-computer interfaces
Prototypes
Low-power electronics
Signal to noise ratio
Time-domain analysis
Analog-digital conversion
Biopotential
brain-computer interface (BCI)
electrocorticography (ECoG)
flicker noise
low-power
neural amplifier
- Language
- ISSN
- 1932-4545
1940-9990
Electrocorticography (ECoG) is an important area of research for Brain-Computer Interface (BCI) development. ECoG, along with some other biopotentials, has spectral characteristics that can be exploited for more optimal front-end performance than is achievable with conventional techniques. This paper optimizes noise performance of such a system and discusses an equalization technique that reduces the analog-to-digital converter (ADC) dynamic range requirements and eliminates the need for a variable gain amplifier (VGA). We demonstrate a fabricated prototype in 1p9m 65 nm CMOS that takes advantage of the presented findings to achieve high-fidelity, full-spectrum ECoG recording. It requires 1.08 $\mu{\rm W}$ over a 150 Hz bandwidth for the entire analog front end and only 7 bits of ADC resolution.