AIMC Topic: Support Vector Machine

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Probabilistic prediction of Epileptic Seizures using SVM.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this paper, an algorithm based on the linear Support Vector Machine (SVM) tool was proposed to classify intracranial electroencephalography (iEEG) signals as ictal or interictal to perform human seizure prediction, efficiently. Various univariate ...
Humans Sensitivity and Specificity Electroencephalography Algorithms Support Vector Machine Epilepsy Seizures
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A Comparison of SVM and CNN-LSTM Based Approach for Detecting Smoke Inhalations from Respiratory signal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Wearable sensors have successfully been used in recent studies to monitor cigarette smoking events and analyze people's smoking behavior. Respiratory inductive plethysmography (RIP) has been employed to track breathing and to identify characteristic ...
Wearable Electronic Devices Support Vector Machine Smoking Machine Learning Plethysmography Humans Algorithms Smoke Neural Networks, Computer
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Improving The Performance of Motor Imagery Based Brain-Computer Interface Using Phase Space Reconstruction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In recent decades, motor imagery (MI) based brain-computer interface (BCI) is served as a control system or rehabilitation tool for motor disabled people. But it has limited applications because of its lower classification performance (classification...
Imagination Electroencephalography Brain-Computer Interfaces Humans Algorithms Support Vector Machine
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Applying Machine Learning Algorithms for Automatic Detection of Swallowing from Sound.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Despite the severe consequences of dysfunctional swallowing, there is no simple method of monitoring swallowing outside of clinical settings. People who cannot swallow cannot eat safely, resulting in profound changes in quality of life and risk of de...
Neural Networks, Computer Algorithms Support Vector Machine Decision Trees Adult Humans Sound Deglutition
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Novel Automatic Epilepsy Detection Method Multi-weight Transition Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The automatic diagnosis of epilepsy using Electroencephalogram (EEG) signals had always been an important research direction. A novel automatic epilepsy detection method based on multi-weight transition network was proposed in this paper. The epilept...
Electroencephalography Epilepsy Humans Signal Processing, Computer-Assisted Seizures Algorithms Support Vector Machine
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Detection of Epileptic Seizures using Unsupervised Learning Techniques for Feature Extraction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Automatic epileptic seizure prediction from EEG (electroencephalogram) data is a challenging problem. This is due to the complex nature of the signal itself and of the generated abnormalities. In this paper, we investigate several deep network archit...
Seizures Electroencephalography Epilepsy Support Vector Machine Unsupervised Machine Learning Humans
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Application of Machine Learning to Prediction of Surgical Site Infection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Surgical site infections are an important health concern, particularly in low-resource areas, where there is poor access to clinical facilities or trained clinical staff. As an application of machine learning, we present results from a study conducte...
Sensitivity and Specificity Logistic Models Support Vector Machine Female Cesarean Section Surgical Wound Infection Humans Forecasting Pregnancy Machine Learning
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Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Accurately forecasting well-being may enable people to make desirable behavioral changes that could improve their future well-being. In this paper, we evaluate how well an automated model can forecast the next-day's well-being (specifically focusing ...
Neural Networks, Computer Forecasting Stress, Psychological Humans Happiness Health Status Cell Phone Logistic Models Support Vector Machine
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Machine learning for classification of uterine activity outside pregnancy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The objective of this study was to investigate the use of classification methods by a machine-learning approach for discriminating the uterine activity during the four phases of the menstrual cycle. Four different classifiers, including support vecto...
Uterus Normal Distribution Menstrual Cycle Support Vector Machine Humans Bayes Theorem Algorithms Machine Learning Female
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Detection of Abnormal Segments in Finger Tapping Waveform using One-class SVM.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We have developed a finger-tapping device with magnetic sensors, UB2, for the early detection of dementia. The goal of the present study is to develop a method for detecting abnormal segments in the finger tapping waveform in an objective way using m...
Support Vector Machine Hand Motion Humans Machine Learning
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