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- W285694859 abstract "Abstract : During the past years several projects have been conducted at the University of Texas at Austin by members of the Bio-Medical Engineering Program investigating the automated classification of levels of wakefulness. The primary design and goal of these projects was rapid, inexpensive determination of levels of wakefulness performed accurately using easily derived physiologic parameters. It was felt that by combining some of the procedures and results of previous studies with the procedures developed from the last two years of this research, a conglomerate algorithm which had the capabilities desired could be developed. During the third year of this research, an altered algorithm has been developed from previous algorithms to classify REM(+) - NREM sleep stages from minute-by-minute heart rate. The reclassification of the two training nights yielded accuracies of 51.30% and 63.68% for night one of LES and night one of FER, respectively. Accuracies from the remaining data of subject LES yielded 60.11% to 66.50%, of subject FER 45.99% to 63.68%. Subject OWN, whose data were not used in any training, yielded accuracies from 52.27% to 58.60%." @default.
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- W285694859 date "1977-05-31" @default.
- W285694859 modified "2023-09-27" @default.
- W285694859 title "Sleep Wakefulness Determinations From Heart Rate Data. Volume III." @default.
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