Biomedical Engineering Reference
In-Depth Information
largely conducted in the past, may not yield optimal BMI systems that are capable of chronically
interfacing with large neural assemblies and delivering meaningful function to the patient. The
complete specifications of future BMI systems will be driven by the technical challenges encoun-
tered in a particular specialization of BMI neurotechnology and transferred bidirectionally to the
others. For example, the choice of the appropriate physiological scale to derive the most robust
control hinges upon the electrode design and polymer science to sense signals throughout the life
of the patient. However, without feedback on the performance of neural decoding, one may have
the nonoptimal but biocompatible electrodes that do not provide the most relevant information.
It is clear that the next generation of BMI technologies cannot be built solely from existing engi-
neering principles. So the question then becomes, “What is the best strategy to deal with technol-
ogy bottlenecks?” Fortunately, neural engineering approaches can benefit from the intersection of
top-down signal processing techniques with bottom-up theories of neurophysiology. By reverse
engineering the neural interface problem using modified versions of standard signal processing
techniques, one can overcome the bottlenecks.
REFERENCES
1. Xu, S., et al.,
A multi-channel telemetry system for brain microstimulation in freely roaming animals.
Journal of Neuroscience Methods, 2004.
133
: pp. 57-63.
doi:10.1016/j.jneumeth.2003.09.012
2. Beechey, P., and D.W. Lincoln,
A miniature FM transmitter for radio-telemetry of unit activity.
Journal of Physiology (London), 1969.
203
(1): p. 5.
3. Edge, G.M., G. Horn, and G. Stechler,
Telemetry of single unit activity from a remotely controlled
microelectrode.
Journal of Physiology (London), 1969.
204
(1): p. 2.
4. Eichenbaum, H., et al.,
Compact miniature microelectrode-telemetry system.
Physiology & Behav-
ior, 1977.
1
(6): pp. 1175-1178.
doi:10.1016/0031-9384(77)90026-9
5. Grohrock, P., U. Hausler, and U. Jurgens,
Dual-channel telemetry system for recording vocaliza-
tion-correlated neuronal activity in freely moving squirrel monkeys
. Journal of Neuroscience Meth-
ods, 1997.
76
(1): pp. 7-13.
doi:10.1016/S0165-0270(97)00068-X
6. Strumwasser, F.,
Long-term recording from single neurons in brain of unrestrained mammals
. Sci-
ence, 1958.
127
(3296): pp. 469-470.
7. Warner, H., et al.,
A remote control brain telestimulator with solar cell power supply.
IEEE Transac-
tions on Biomedical Engineering, 1968.
BM15
(2): p. 94.
8. Akin, T., et al.,
A modular micromachined high-density connector system for biomedical ap-
plications.
IEEE Transactions on Biomedical Engineering, 1999.
46
(4): pp. 471-480.
