Integration of neural sensing microsystem with TSV-embedded dissolvable µ-needles array, biocompatible flexible interposer, and neural recording circuits

التفاصيل البيبلوغرافية
العنوان: Integration of neural sensing microsystem with TSV-embedded dissolvable µ-needles array, biocompatible flexible interposer, and neural recording circuits
المؤلفون: Po-Tsang Huang, Yu-Chieh Huang, Yan-Yu Huang, Ching-Te Chuang, Yen-Han Lin, Jin-Chern Chiou, Yu-Chen Hu, Wei Hwang, Shang-Lin Wu, Yan-Huei You, Tzai-Wen Chiu, Kuan-Neng Chen, Jr-Ming Chen, Jeng Ren Duann, Hsiao-Chun Chang
المصدر: 2016 IEEE Symposium on VLSI Technology.
بيانات النشر: IEEE, 2016.
سنة النشر: 2016
مصطلحات موضوعية: 010302 applied physics, Wire bonding, Engineering, business.industry, Interface (computing), Biocompatible material, 01 natural sciences, Signal, 03 medical and health sciences, 0302 clinical medicine, Signal quality, Microsystem, 0103 physical sciences, Interposer, Electronic engineering, business, 030217 neurology & neurosurgery, Electronic circuit
الوصف: Local brain connectivity is expected to lead to new models for neurological diseases, which may in turn result in advanced understanding and better treatment. This paper presents a neural sensing microsystem integrated with TSV-embedded dissolvable µ-needles array, ENIG bonding technology, biocompatible Au-TSV flexible interposer and neural recording circuits, for neural sensing implantation. An ultra-thin film bonding approach is proposed for integration of interposer assembly. Removing bonding wire by proposed bonding technology, the dimension of neural sensing system can be minimized to reduce surgical area and promote implant success rate. The signal quality of neural recording can be significantly improved by eliminating complex signal paths with 2.5D TSV integration from neural sensing interface to neural recording circuits.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1827b67c759742050ef702085f8c69ca
https://doi.org/10.1109/vlsit.2016.7573441
رقم الأكسشن: edsair.doi...........1827b67c759742050ef702085f8c69ca
قاعدة البيانات: OpenAIRE