Using the parametric time-varying filter to average BAEP signals
Processing of the BAEP signal is achieved with a simple averaging over a number of realizations. The proposed filtering method of BAEP signal is extremely attractive alternative for long-lasting examination with a repeated stimulus. Repetitive stimulus (20-30 times) allows additional averaging to be...
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| creator | Jaskula, M. Kaszynski, R. |
| description | Processing of the BAEP signal is achieved with a simple averaging over a number of realizations. The proposed filtering method of BAEP signal is extremely attractive alternative for long-lasting examination with a repeated stimulus. Repetitive stimulus (20-30 times) allows additional averaging to be performed on the signal under extremely high noise conditions. Using averaging in dine with a parametric fiber (in real time) and then averaging over realizations is a completely new approach to the averaging of the BAEP signal. When we visually compare shapes of responses after a number of realizations we can notice that the result of 20 realizations with simultaneous averaging in time with parametric filter is much better then simple, standard averaging with 20 realization and also as good as averaging with 1000 realization. Simple calculations show that the time of examination could be reduced many times. |
| doi_str_mv | 10.1109/IMTC.2002.1007184 |
| format | Conference Proceeding |
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| ispartof | IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276), 2002, Vol.2, p.1519-1522 vol.2 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aging Computer science Control engineering Filtering Noise shaping Shape Signal processing Stability Time measurement Wiener filter |
| title | Using the parametric time-varying filter to average BAEP signals |
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