A fully integrated 8-channel closed-loop neural-prosthetic cmos soc for real-time epileptic seizure control

Wei Ming Chen, Herming Chiueh, Tsan Jieh Chen, Chia Lun Ho, Chi Jeng, Ming Dou Ker, Chun Yu Lin, Ya Chun Huang, Chia Wei Chou, Tsun Yuan Fan, Ming Seng Cheng, Yue Loong Hsin, Sheng Fu Liang, Yu Lin Wang, Fu Zen Shaw, Yu Hsing Huang, Chia Hsiang Yang, Chung Yu Wu

Research output: Contribution to journalArticlepeer-review

182 Citations (Scopus)

Abstract

An 8-channel closed-loop neural-prosthetic SoC is presented for real-time intracranial EEG (iEEG) acquisition, seizure detection, and electrical stimulation in order to suppress epileptic seizures. The SoC is composed of eight energy-efficient analog front-end amplifiers (AFEAs), a 10-b delta-modulated SAR ADC (DMSAR ADC), a configurable bio-signal processor (BSP), and an adaptive high-voltage-tolerant stimulator. A wireless power-and-data transmission system is also embedded. By leveraging T-connected pseudo-resistors, the high-pass (low-pass) cutoff frequency of the AFEAs can be adjusted from 0.1 to 10 Hz (0.8 to 7 kHz). The noise-efficiency factor (NEF) of the AFEA is 1.77, and the DMSAR ADC achieves an ENOB of 9.57 bits. The BSP extracts the epileptic features from time-domain entropy and frequency spectrum for seizure detection. A constant 30-μA stimulus current is delivered by closed-loop control. The acquired signals are transmitted with on-off keying (OOK) modulation at 4 Mbps over the MedRadio band for monitoring. A multi-LDO topology is adopted to mitigate the interferences across different power domains. The proposed SoC is fabricated in 0.18-μm CMOS and occupies 13.47 mm2. Verified on Long Evans rats, the proposed SoC dissipates 2.8 mW and achieves high detection accuracy (> 92%) within 0.8 s.

Original languageEnglish
Article number6637111
Pages (from-to)232-247
Number of pages16
JournalIEEE Journal of Solid-State Circuits
Volume49
Issue number1
DOIs
Publication statusPublished - 2014 Jan

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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