Caterina Carboni, Lorenzo Bisoni, Nicola Carta and Massimo Barbaro
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[1] T. Boretius, A. Pascual-Font, E. Udina, T. Stieglitz,and X. Navarro, “Biocompatibility of chronically im-planted transverse intrafascicular multichannel elec-trode (time) in the rat sciatic nerve,” IEEE Transac-tion on Biomedical Engineering, vol. 58, no. 8, pp.2324–2332, 2011. [2] F. Shahrokhi, K. Abdelhalim, D. Serletis, P. L. Carlen,and R. Genov, “The 128-channel fully differentialdigital integrated neural recording and stimulationinterface,” IEEE Trans. Biomedical Circuit System,vol. 4, pp. 149–161, 2010. [3] J. Lee, H. G. Rhew, D. R. Kipke, and M. P. Flynn, “A64 channel programmable closed-loop neurostimula-tor with 8 channel neural amplifier and logarithmicadc,” IEEE Journal of Solid-State Circuits, vol. 45,pp. 1935–1945, 2010. [4] D. Loi, C. Carboni, G. Angius, G. Angotzi, M. Bar-baro, L. Raffo, S. Raspopovic, and X. Navarro, “Pe-ripheral neural activity recording and stimulation sys-tem,” Biomedical Circuits and Systems, IEEE Trans-actions on, vol. 5, no. 4, pp. 368–379, 2011. [5] W. Wattanapanitch and R. Sarpeshkar, “A low-power32-channel digitally programmable neural recordingintegrated circuit,” IEEE Transaction on BiomedicalEngineering, vol. 5, no. 6, pp. 593–602, 2011. [6] R. R. Harrison, R. J. Kier, C. A. Chestek, V. Gilja,P. Nuyujukian, S. Ryu, B. Greger, F. Solzbacher, andK. V. Shenoy, “Wireless neural recording with singlelow-power integrated circuit,” IEEE Transactions onNeural Systems and Rehabilitation Engineering, pp.322–329, 2009. [7] R. Rieger, J. Taylor, A. Demosthenous, N. Donaldson,and P. J. Langlois, “Design of a low-noise preampli-fier for nerve cuff electrode recording,” IEEE Journalof Solid-State Circuits, vol. 38, no. 8, pp. 1373–1379,2003. [8] H. Gao, R. Walker, P. Nuyujukian, K. Makinwa,K. Shenoy, B. Murmann, and T. Meng, “Hermese:A 96-channel full data rate direct neural interface in0.13 µm cmos,” IEEE Journal of Solid-State Circuits,vol. 47, no. 4, pp. 1043–1055, 2012. [9] S. Micera, J. Carpaneto, and S. Raspopovic, “Con-trol of hand prostheses using peripheral information,”vol. 3, 2010, pp. 48–68. [10] A. Zabihian and A. Sodagar, “A new architecture formulti-channel neural recording microsystems basedon delta-sigma modulation,” IEEE Conference onBiomedical Circuits and Systems, pp. 81–84, 2009. [11] S. Y. Lee and S. C. Lee, “An implantable wire-less bidirectional communication microstimulator forneuromuscolar stimulation,” IEEE Trans. Circuit Sys-tem, vol. 52, pp. 2526–2538, 2005. [12] W. Grill and J. Mortimer, “Stimulus waveformsfor selective neural stimulation,” Engineering inMedicine and Biology Magazine, IEEE, vol. 14, no. 4,pp. 375 –385, jul/aug 1995. [13] T. Tanzawa and T. Tanaka, “A dynamic analysis of thedickson charge pump circuit,” Solid-State Circuits,IEEE Journal of, vol. 32, no. 8, pp. 1231–1240, Aug. [14] T. Yamazoe, H. Ishida, and Y. Nihongi, “A chargepump that generates positive and negative high volt-ages with low power-supply voltage and low powerconsumption for non-volatile memories,” in Circuitsand Systems, 2009. ISCAS 2009. IEEE InternationalSymposium on, May, pp. 988–991. [15] C. Carboni, D. Loi, and M. Barbaro, “A front-endstage for neural signal recording based on a sigmadelta modulator,” Proceedings of the internationalconference on Biomedical Electronics and Devices(BIODEVICES2012), pp. 207–212, February 2012. [16] R. Schreier and T. Gabor C., “Understandingdelta sigma data converters,” IEEE Press/Wiley-Interscience, 2001.70 [17] C. Carboni, N. Carta, M. Barbaro, and L. Raffo, “Asigma-delta architecture for recording of peripheralneural signals in prosthetic applications,” Biomedi-cal Robotics and Biomechatronics (BioRob), 2012 4thIEEE RAS EMBS International Conference on, pp.448 –453, June 2012. [18] X. Liu, A. Demosthenous, and N. Donaldson, “An in-tegrated implantable stimulator that is fail-safe with-out off-chip blocking-capacitors,” Biomedical Cir-cuits and Systems, IEEE Transactions on, vol. 2,no. 3, pp. 231 –244, sept. 2008.
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