
Hesam Shokouh Alaei
Academic and research departments
Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences.About
My research project
Diagnosis of Psychogenic non-Epileptic Seizures from Epileptic Seizures Using Electroencephalograms and ElectrocardiogramsPsychogenic non-epileptic seizures (PNES) resembling the symptoms of epileptic seizures are a common diagnostic challenge. An incorrect diagnosis of epilepsy can result in inappropriate treatments such as antiepileptic drugs and unnecessary hospital admissions, which may deteriorate health or lead to a financial burden on health services. In this project, we will use a multi-modal model approach to distinguish the PNES from epileptic seizures based on electroencephalograms and electrocardiograms. This approach includes advanced signal processing and machine learning algorithms based on deep learning. We expect that this research work will address the following question: “How can we design an intelligent system to help neurologists and epileptologists in making the correct diagnosis of the seizures?”
Supervisors
Psychogenic non-epileptic seizures (PNES) resembling the symptoms of epileptic seizures are a common diagnostic challenge. An incorrect diagnosis of epilepsy can result in inappropriate treatments such as antiepileptic drugs and unnecessary hospital admissions, which may deteriorate health or lead to a financial burden on health services. In this project, we will use a multi-modal model approach to distinguish the PNES from epileptic seizures based on electroencephalograms and electrocardiograms. This approach includes advanced signal processing and machine learning algorithms based on deep learning. We expect that this research work will address the following question: “How can we design an intelligent system to help neurologists and epileptologists in making the correct diagnosis of the seizures?”
ResearchResearch interests
- Biomedical Signal Processing
- Machine Learning
- Deep Learning
- Feature Engineering
- Electroencephalogram
- Electrocardiogram
Research interests
- Biomedical Signal Processing
- Machine Learning
- Deep Learning
- Feature Engineering
- Electroencephalogram
- Electrocardiogram