標題: Ultrahigh-Density 256-Channel Neural Sensing Microsystem Using TSV-Embedded Neural Probes
作者: Huang, Yu-Chieh
Huang, Po-Tsang
Wu, Shang-Lin
Hu, Yu-Chen
You, Yan-Huei
Chen, Jr-Ming
Huang, Yan-Yu
Chang, Hsiao-Chun
Lin, Yen-Han
Duann, Jeng-Ren
Chiu, Tzai-Wen
Hwang, Wei
Chen, Kuan-Neng
Chuang, Ching-Te
Chiou, Jin-Chern
生物科技學系
電子工程學系及電子研究所
電機工程學系
電控工程研究所
Department of Biological Science and Technology
Department of Electronics Engineering and Institute of Electronics
Department of Electrical and Computer Engineering
Institute of Electrical and Control Engineering
關鍵字: Electrocorticography (ECoG);local field potential (LFP);microsystem;probe;somatosensory evoked potential (SSEP);TSV-embedded mu-needles
公開日期: 1-十月-2017
摘要: Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, a 256-channel neural sensing microsystem with a sensing area of 5 x 5 mm(2) is presented based on 2.5-D through-silicon-via (TSV) integration. This microsystem composes of dissolvable mu-needles, TSV-embedded mu-probes, 256-channel neural amplifiers, 11-bit area-power-efficient successive approximation register analog-to-digital converters, and serializers. This microsystem can detect 256 electrocorticography and local field potential signals within a small area of 5 mm x 5 mm. The neural amplifier realizes 57.8 dB gain with only 9.8 mu W per channel. The overall power of this microsystem is only 3.79mW for 256-channel neural sensing. A smaller microsystem with dimension of 6 mm x 4 mm has been also implanted into rat brain for somatosensory evoked potentials (SSEPs) recording by using contralateral and ipsilateral electrical stimuli with intensity from 0.2 to 1.0 mA, and successfully observed different SSEPs from left somatosensory cortex of a rat.
URI: http://dx.doi.org/10.1109/TBCAS.2017.2669439
http://hdl.handle.net/11536/144325
ISSN: 1932-4545
DOI: 10.1109/TBCAS.2017.2669439
期刊: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
Volume: 11
起始頁: 1013
結束頁: 1025
顯示於類別:期刊論文