We report an energy- and area-efficient modular analog front-end (AFE) architecture incorporating Δ-modulated ΔΣ (Δ-ΔΣ) signal acquisition for 1,024-channel brain activity monitoring platforms. The AFE employs spectrum-equalizing and continuous-time (CT)-ΔΣ quantization to make use of the inherent spectral characteristics of brain signals. The dynamic range (DR) of the neural signals has been compressed by 27dB (spectrum equalization). The energy-area product is the most critical figure of merit for massively-parallel recordings and the AFE achieves 4.84fJ/C-s·mm2, the smallest ever reported. The fabricated circuits consume 0.05mm2 and 3.05μW/channel, exhibiting 63.8dB SNDR, 3.02 NEF, and 4.56NEF2VDD.
|Title of host publication||2015 Symposium on VLSI Circuits, VLSI Circuits 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2015 Aug 31|
|Event||29th Annual Symposium on VLSI Circuits, VLSI Circuits 2015 - Kyoto, Japan|
Duration: 2015 Jun 17 → 2015 Jun 19
|Name||IEEE Symposium on VLSI Circuits, Digest of Technical Papers|
|Conference||29th Annual Symposium on VLSI Circuits, VLSI Circuits 2015|
|Period||15/6/17 → 15/6/19|
Bibliographical notePublisher Copyright:
© 2015 JSAP.
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering