Abstract
Several types of bioelectric current source produce external electric and magnetic fields with oscillatory characteristics. Often, these sources are not well localized and may be distributed over a wide spatial range or may consist of several simultaneously-active localized sources distributed over a wide area. Additionally, the oscillation associated with such activity may not be synchronized over space — activity in different regions may oscillate at different frequencies. The brain’s alpha rhythm is one such example, with activity spread over a large region of the brain oscillating at a characteristic frequency between 8 and 12 Hz [1]. The basic electrical activity of the gastrointestinal system is another example. Frequencies of oscillation in gastrointestinal electrical activity include a 3 cycle-per-minute (cpm) slow-wave in the stomach and slow-waves that range from 8–12 cpm in the small intestine, with more distal segments of the small bowel typically having lower frequencies than more proximal segments [2],[3]. We present a technique to address the problem of estimating the source current distribution from external measurements of the electrical activity.
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Bradshaw, L.A., Wikswo, J.P. (2000). Inverse Imaging of Distributed Oscillatory Activity. In: Aine, C.J., Stroink, G., Wood, C.C., Okada, Y., Swithenby, S.J. (eds) Biomag 96. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1260-7_225
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DOI: https://doi.org/10.1007/978-1-4612-1260-7_225
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