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Improved parallel algorithms for the classification of electroencephalograms (EEGs) on the DAP510. (English) Zbl 0741.92009

Parallel Comput. 18, No. 1, 109-115 (1992).

Summary: EEG-classification is necessary, for instance, to test the hearing of babies and to adapt hearing aids. A CPU-time of 3 hours is necessary for these classifications on serial computers like CYBER 845. This is too long to do examinations systematically. We have reduced the CPU-time for these classifications on the DAP. The result is that the DAP needs only 6 minutes CPU-time for the classifications with 8 attributes instead of 4 attributes used in the serial case.

MSC:

92C50	Medical applications (general)
68U99	Computing methodologies and applications
65Y05	Parallel numerical computation
65Y10	Numerical algorithms for specific classes of architectures

Keywords:

DAP510; electroencephalograms; EEG-classification

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