Now showing items 1-6 of 6
Non-invasive prediction of hemoglobin level using machine learning techniques with the PPG signal's characteristics features
Hemoglobin can be measured normally after the analysis of the blood sample taken from the body and this measurement is named as invasive. Hemoglobin must continuously be measured to control the disease and its progression ...
Investigation of Effects of Time Domain Features of the Photoplethysmography (PPG) Signal on Sleep Respiratory Arrests
Obstructive Sleep Apnea Syndrome is one of the major diseases of our century. Diagnosis of this disease is very difficult. The reason of the difficulty is the complexity of the system. AHI index is calculated for the ...
(Elsevier Science Bv, 2015)
[No Abstract Available]
Improved Emotion Recognition Using Gaussian Mixture Model and Extreme Learning Machine in Speech and Glottal Signals
(Hindawi Ltd, 2015)
Recently, researchers have paid escalating attention to studying the emotional state of an individual from his/her speech signals as the speech signal is the fastest and the most natural method of communication between ...
Particle Swarm Optimization Based Feature Enhancement and Feature Selection for Improved Emotion Recognition in Speech and Glottal Signals
(Public Library Science, 2015)
In the recent years, many research works have been published using speech related features for speech emotion recognition, however, recent studies show that there is a strong correlation between emotional states and glottal ...
Detection of abnormalities in lumbar discs from clinical lumbar MRI with hybrid models
Disc abnormalities cause a great number of complaints including lower back pain. Lower back pain is one of the most common types of pain in the world. The computer-assisted detection of this ailment will be of great use ...