Abstract
This work presents a novel mechanism for detection of late auditory evoked potentials (AEP). AEPs, which are an important diagnostic tool to detect hearing deficiencies, are contained within the electroencephalogram (EEG) at a very low SNR. The authors' proposed automatic detection of AEPs is based on a Wavelet-Transform of EEG data for feature extraction. Several transform coefficients are then used for a classification by a neural network; its decisions on successive EEG segments are judged by a sequential statistical test. This test stops when a certain confidence is reached to either accept or reject an AEP. Besides providing an objective recognition of AEPs, this procedure can considerably reduce measurement time.
| Original language | English |
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| Title of host publication | Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine |
| Publisher | IEEE |
| Number of pages | 2 |
| ISBN (Print) | 0-7803-3811-1 |
| DOIs | |
| Publication status | Published - Nov 1996 |
| Event | 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Amsterdam, Netherlands Duration: 31 Oct 1996 → 3 Nov 1996 |
Conference
| Conference | 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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| Country/Territory | Netherlands |
| City | Amsterdam |
| Period | 31/10/96 → 3/11/96 |
Keywords
- auditory evoked potentials
- electroencephalogram
- sequential statistical testing
- time frequency analysis