In this paper, it is aimed to analysis of Electrooculography (EOG) signals recorded during the back eye movement (retrieving words/re-reading) and skipping lines while reading. Two situations are characterized by large amplitude fluctuations in EOG signals. For aim, were simultaneously reading a text from 10 volunteers changes caused jumping bottom line movements as analyzed. The classification these may allow development new method for early rapid diagnosis various disorders (for example...

Dyslexia is a learning disability that can be characterized by reading difficulties. The EOG signals are widely used in biomedical applications such as Human Computer Interaction (HCI), and the use of signal diagnosis neurodegenerative diseases increasing. In this paper, we proposed novel approach for with dyslexia using one dimensional convolutional neural network (1D CNN) based on signals. first stage study, were during healthy dyslexic children read four different texts. second stage,...

Nowadays, skin cancer is a life-threatening disease that causes human death. The body contains melanocytic cells and these are found in the skin. Abnormal growth of cancer. This can be diagnosed by an expert dermatologist as result interpretation dermoscopy images ABCD rule. Because diagnosis made physicians, there some problems such misdiagnosis due to errors. Therefore, order solve problems, computer-assisted necessary diagnose assist doctor. aim this study was determine melanoma using...

Speech is the basis of communication between people. In daily life, function loss occurs in mechanisms that create voice due to reasons such as occupation, environment, age and gender. this study, 57 healthy 150 pathological data (from Hyperkinetic Dysphonia, Hypokinetic Reflux Laryngitis) was classified using proposed fetaures Artificial Neural Networks (ANN). The obtained from given input ANN model. Depending on these data, output information artificial neural network determined patient or...

Intensive care is a form of multidisciplinary and treatment given to patients who have an acute lifethreatening disease or are expected develop such disease. Talking with interacting intubated in the ICU can positive effect. It stated that described as unconscious do not hear what going on around them aware it. However, families say their react them. In this study, unlike literature studies, EEG GSR signals were obtained from hospitalized ICU. aimed examine effects family members nurses...

In this study, Electrodermal Activity (EDA) signals were analyzed to evaluate the changes between physical stress, cognitive and emotional stress. For purpose, energy variance properties of EDA in time domain for each case as short-time frames. addition, decomposed using Empirical Mode Decomposition (EMD) method, sub-band case. Further, Short Time Fourier Transform (STFT) method was used analyze time-frequency these signals. Also, according obtained features, classified determine stages....

Amyotrophic lateral sclerosis (ALS), also known as motor neuron disease, is a neurological disease that occurs result of damage to the nerves in brain and restriction muscle movements. Electroencephalography (EEG) most common method used imaging study disorders. Diagnosis disorders such ALS, Parkinson's, attention deficit hyperactivity disorder important biomedical studies. In recent years, deep learning (DL) models have been started be applied literature for diagnosis these diseases. this...

In this study, a new approach is proposed to detection of Parkinson's disease by using Electroencephalography (EEG) signals and three different subband generated Variational Mode Decomposition (VMD) method. the method, EEG are applied separately 1D CNN model classification results compared. The showed that VMD-sub band obtained from were successful in diagnosing Parkinson's. highest classifier accuracy was second VMD data 98.10%.

Electroencephalogram (EEG) is a non-invasive electrophysiological monitoring method used for evaluation of electrical activity in the brain. EEG analysis useful tool continuous measurement neurological function. Evaluation patient's state consciousness important evaluation. Glasgow Coma Score (GCS) most system coma status intensive care units. The examination eye movements, motor response and verbal from functions results decision GCS. GCS provides information about but not complete...

Attention deficit hyperactivity disorder (ADHD), one of the most common neurodevelopmental disorders in childhood, is diagnosed clinically by assessing symptoms inattention, hyperactivity, and impulsivity. Also, there are limited objective assessment tools to support diagnosis. Thus, this study, a new electrooculography (EOG) based on visual stimulus tracking diagnosis ADHD was proposed.Reference one-to-one numbers (RSOT) colour game detection (CGD) were applied 53 medication-free children...

Intensive Care Units (ICUs) are more difficult and complex areas of hospital as treatment care. In these units, the patients monitored continuously with a bedside monitor for respiration, O2 saturation pulse information. However, this information, which is periodically noted on patient observation papers, may not represent definite diagnose/follow up about patient's health condition in all times. Therefore, order to assist physician units where diagnosis/follow important, attributes...

According to the World Health Organization, epilepsy is a disease that affects approximately 50 million people worldwide. Due unexpected onset of epileptic seizures, it can lead bodily injury and death. For this reason, very important predict epilepsy. In study, was aimed detect by using Electroencephalogram (EEG) signals recorded from Bonn Epilepsy Laboratory. Wavelet Coherence Analysis Convolutional Neural Networks were used for aim. Classification results show accuracy different clusters...