Now showing items 1-4 of 4
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 ...
A new hybrid intelligent system for accurate detection of Parkinson's disease
(Elsevier Ireland Ltd, 2014)
Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in ...
Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification
(Elsevier Ireland Ltd, 2018)
Background and objective: Infant cry signal carries several levels of information about the reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status (asphyxia, deaf, jaundice, premature condition ...
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 ...