Abstract
There are many design challenges involved in the circuit design of implantable neural recording systems. A generic biopotential-recording system is illustrated in Fig. 2.1. First, weak neural signals must be amplified, conditioned, and then digitized. The information then needs to be wirelessly transmitted out of the body to avoid possible infection from transcutaneous connectors. The power consumption increases with the number of recording channels and the complexity of system. However, the power dissipation of miniature implantable devices is limited to prevent excessive tissue heating.
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References
Chandran A, Najafi K, Wise K (1999) A new DC baseline stabilization scheme for neural recording microprobes. In: Proceedings of the first joint BMES/EMBS conference, annual fall meeting of the Biomedical Engineering Society, 21st annual international conference of the Engineering in Medicine and Biology Society, Atlanta, Georgia, pp 386–387
Denison T, Consoer K, Santa W, Avestruz A, Cooley J, Kelly A (2009) A 2mW, 100nV/rtHz chopper-stabilized instrumentation amplifier for chronic measurement of neural field potentials. IEEE J Solid-State Circuits 42(12):2934–2945
Donoghue J, Sanes J, Hatsopoulos N, Gaal G (1998) Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements. J Neurophysiol 79:159–173
Gray P, Hurst PJ, Lewis S, Meyer R (2009) Analysis and design of analog integrated circuits. Wiley, Berkeley
Harison R, Charles C (2003) A low-power low-noise cmos amplifier for neural recording applications. IEEE J Solid-State Circuits 39:122–131
Kipke D, ShainW, Buzsaki G, Fetz E, Menderson J, Hetke J, Schalk G (2008) Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities. J Neurosci 28(46):11830–11838
Leuthardt E, Schalk G, Wolpaw J, Ojemann J, Moran D (2004) A braincomputer interface using electrocorticographic signals in humans. J Neural Eng 1(2):63–71
Levy R, Ashby P, Hutchison W, Lang A, Lozano A, Dostrovsky J (2002) Dependence of subthalamic nucleus oscillations on movement and dopamine in parkinson’s disease. Brain 125:1175–1176
Miller K, Leuthardt E, Schalk G, Rao R, Anderson N, Moran D, Miller J, Ojemann J (2009) Spectral changes in cortical surface potentials during motor movement. J Neurosci 27(9):2424–2432
Najafi K, Wise K (1986) An implantable multielectrode array with on-chip signal processing. IEEE J Solid-State Circuits 21:1035–1044
Nordhausen C, Maynard E, Normann R (1996) Single unit recording capabilities of a 100-microelectrode array. Brain Res 726:129–140
Olsson RH III, Gulari M, Wise K (2002) Silicon neural recording arrays with on-chip electronics for in-vivo data acquisition. Paper presented at the 2nd annual international IEEE-EMBS special topic conference on microtechnologies in medicine and biology, Madison, Wisconsin, 2–4 May 2002
Shenoy P, Miller K, Ojemann J, Rao R (2008) Generalized features for electrocorticographic BCIs. IEEE Trans Biomed Eng 55(1):273–280
Steyaert M, Sansen W (1987) A micropower low-noise monolithic instrumentation amplifier for medical purposes. IEEE J Solid-State Circuits 22(6):1163–1168
Wattanapanitch W, Fee M, Sarpeshkar R (2007) An energy-efficient micropower neural recording amplifier. IEEE Trans Biomed Circ Syst 1(2):136–147
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Holleman, J., Zhang, F., Otis, B. (2011). Bio-signal Interface Amplifiers: an Introduction. In: Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6727-5_2
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DOI: https://doi.org/10.1007/978-1-4419-6727-5_2
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