Nuclear Physics By Dc Tayal Pdf ((LINK))

Nuclear Physics By Dc Tayal Pdf

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ABSTRACT This paper reports a novel method based on the NIR spectroscopy of biofluids for the automatic and immediate evaluation of trans-abdominal fetal electrocardiograms (FECG). The proposed method takes advantage of the existence of a correlation between fetal rhythmic heart activity and blood glucose levels in gestational diabetes mellitus (GDM). The FECG signals are firstly pre-processed to highlight the ECG features, then the pre-processed signals are classified into one of the two states by a novel classifier based on recursive neural networks (RNN), called the neural fuzzy classifier (NFC). The performance of the proposed method is compared with that of the state-of-the-art methods and results show that the NFC significantly increases the performance in terms of sensitivity and specificity. The system has been validated using clinical data, achieving 97.3% of sensitivity and 98.1% of specificity, and it is therefore proposed for the general application with satisfactory performance.Keywords: NIR Spectroscopy, ECG, Fetal Pulse Oximetry, Noninvasive Fetal Monitoring, GDM. ABSTRACT This paper reports a novel method based on the NIR spectroscopy of biofluids for the automatic and immediate evaluation of trans-abdominal fetal electrocardiograms (FECG). The proposed method takes advantage of the existence of a correlation between fetal rhythmic heart activity and blood glucose levels in gestational diabetes mellitus (GDM). The FECG signals are firstly pre-processed to highlight the ECG features, then the pre-processed signals are classified into one of the two states by a novel classifier based on recursive neural networks (RNN), called the neural fuzzy classifier (NFC). The performance of the proposed method is compared with that of the state-of-the-art methods and results show that the NFC significantly increases the performance in terms of sensitivity and specificity. The system has been validated using clinical data, achieving 97.3% of sensitivity and 98.1% of specificity, and it is therefore proposed for the general application with satisfactory performance.Keywords: NIR Spectroscopy, ECG, Fetal Pulse Oximetry, Noninvasive Fetal Monitoring, GDM. ABSTRACT Phoneme recognition using the Mel-frequency cepstrum coefficients (MFCC) is investigated in this paper. Learning curves for training different users are described. A standard a2fa7ad3d0

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