HYBRID EVENT: You can participate in person at Orlando, USA or Virtually from your home or work.

6th Edition of International Conference on Neurology and Brain Disorders

October 24 -26, 2022

October 24 -26, 2022 | Orlando, Florida, USA
INBC 2022

Elias mazrooei

Speaker at Neurology and Brain Disorders 2022 - Elias mazrooei
Khavaran Higher Education Institute, Iran (Islamic Republic of)
Title : Identification of mild Alzheimer’s diseases with convolutional neural network

Abstract:

The main purpose of this study is to provide a method for early diagnosis of Alzheimer's disease. This disease reduces memory function by destroying neurons in the nervous system and reducing connections and neural interactions. Alzheimer's disease is on the rise and there is no cure for it. With the help of medical image processing, Alzheimer's disease is determined and the similarity of the characteristics of brain signals with medical images is determined. Then, by presenting the characteristics of effective brain signals, the mild Alzheimer's group is determined. The level of this disease should be diagnosed according to the relationship between this disease and different features in the brain signal and medical images. First, with appropriate preprocessing, nonlinear properties such as phase diagram, correlation dimension, entropy and Lyapunov exponential are extracted and classification is done using convolutional neural network. The use of deep learning methods, including channel neural network, can have more appropriate and accurate results among other classification methods. The accuracy of the results in the reminder period is 97.5% for the brain signal and 99% for the MRI images, which is an acceptable result. Among the processing methods proposed to classify the three classes of healthy, mild patient and severe patient, the method of combining brain signal characteristics and medical images has increased the accuracy of CNN classifier results.

 

What will audience learn from your presentation?

       .Introducing new feature extraction methods to diagnose Alzheimer's patient

  •  Application of deep learning in brain signals and images

Combining the spatial features of medical images with the temporal features of brain signals

Biography:

I am a PhD in biomedical Engineering and a researcher in the field of Alzheimer's disease diagnosis by a combination of brain signal methods and medical images to help physicians and patients with deep learning processing methods. I am currently a faculty member and research director at the Khavaran Institute of Higher Education

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