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Discriminant Analysis

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Evaluation of periodic breathing in respiratory flow signal of elderly patients using SVM and linear discriminant analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The pe...
Electrocardiography Aged Humans Respiratory Rate Support Vector Machine Female Aged, 80 and over Discriminant Analysis Signal Processing, Computer-Assisted Male Heart Failure
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Sensor data quality processing for vital signs with opportunistic ambient sensing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Opportunistic ambient sensing involves placement of sensors appropriately so that intermittent contact can be made unobtrusively for gathering physiological signals for vital signs. In this paper, we discuss the results of our quality processing syst...
Humans Discriminant Analysis Heart Rate Data Accuracy Neural Networks, Computer Support Vector Machine Decision Trees
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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cases, linear classifiers are preferable. Particularly, as non-linear classifiers often involve a numbe...
Machine Learning Algorithms Computer Simulation Humans Male Evoked Potentials, Somatosensory Evoked Potentials, Motor Discriminant Analysis Sensorimotor Cortex Imagination Nonlinear Dynamics Young Adult Pattern Recognition, Automated Adult Brain-Computer Interfaces Sensitivity and Specificity Oscillometry Female Reproducibility of Results
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[Rapid Identification of Epicarpium Citri Grandis via Infrared Spectroscopy and Fluorescence Spectrum Imaging Technology Combined with Neural Network].

Guang pu xue yu guang pu fen xi = Guang pu Oct 1, 2015
To explore rapid reliable methods for detection of Epicarpium citri grandis (ECG), the experiment using Fourier Transform Attenuated Total Reflection Infrared Spectroscopy (FTIR/ATR) and Fluorescence Spectrum Imaging Technology combined with Multilay...
Models, Theoretical Spectroscopy, Fourier Transform Infrared Principal Component Analysis Neural Networks, Computer Fluorescence Discriminant Analysis Optical Imaging
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Optimized echo state networks with leaky integrator neurons for EEG-based microsleep detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
The performance of a microsleep detection system was calculated in terms of its ability to detect the behavioural microsleep state (1-s epochs) from spectral features derived from 16-channel EEG sampled at 256 Hz. Best performance from a single class...
Male Adolescent Discriminant Analysis Electroencephalography Signal Processing, Computer-Assisted Sleep Neural Networks, Computer Young Adult Adult Humans
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[Dynamic Detection of Fresh Jujube Based on ELM and Visible/Near Infrared Spectra].

Guang pu xue yu guang pu fen xi = Guang pu Jul 1, 2015
Jujube was rich in nutrition and variety. In different varieties, there were very different from the market price to the qualities of internal and external. In order to realize the rapid and non-destructive detection of fresh jujubes' classification,...
Ziziphus Support Vector Machine Algorithms Spectroscopy, Near-Infrared Machine Learning Food Analysis Discriminant Analysis Models, Theoretical Least-Squares Analysis Fruit Food Quality
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Machine learning methods for credibility assessment of interviewees based on posturographic data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
This paper discusses the advantages of using posturographic signals from force plates for non-invasive credibility assessment. The contributions of our work are two fold: first, the proposed method is highly efficient and non invasive. Second, feasib...
Machine Learning Algorithms Female Surveys and Questionnaires Humans Young Adult Posture Adult Discriminant Analysis Male
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Improve the diagnosis of atrial hypertrophy with the local discriminative support vector machine.

Bio-medical materials and engineering Jan 1, 2015
Computer-aided diagnosis (CAD) approaches succeed in detecting a number of diseases, however, they are not good at addressing atrial hypertrophy disease due to the lack of training data. Support Vector Machine (SVM) is very popular in few CAD solutio...
Electrocardiography Support Vector Machine Discriminant Analysis Pattern Recognition, Automated Reproducibility of Results Cardiomegaly Humans Sensitivity and Specificity Hypertrophy Algorithms Diagnosis, Computer-Assisted Heart Atria
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