Antora Dev- Master of Science
- Graduate Assistant at Idaho State University
Antora Dev
- Master of Science
- Graduate Assistant at Idaho State University
Graduate Research Assistant at Idaho State University
About
8
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Introduction
I completed my M.Sc. in Electrical and Computer Engineering at Idaho State University and am currently pursuing a Ph.D. During my master's research, I focused on analyzing biomarkers associated with epileptic seizures using EEG and MEG signals.
I have conducted several research projects in Bangladesh, with one of my most significant contributions being "Deep-Depression," where I worked on identifying depression biomarkers and exploring various cognitive responses using 64-channel EEG devices.
Skills and Expertise
Current institution
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Publications
Publications (8)
Malaria is a mosquito-borne, life-threatening, and contagious disease that has caused thousands of fatalities in recent years. Due to inadequate detection, the inexperience of laboratory personnel, and lack of advanced point-of-care equipment, the malaria-induced mortality rate is increasing. In addition to the traditional detection mechanisms, res...
Epilepsy is a prevalent neurological disorder characterized by recurrent seizures, affecting millions of people worldwide. Accurate and timely detection of epileptic seizures is crucial for patient management and treatment. Traditional seizure detection methods are often time-consuming and require expert interpretation, leading to a growing interes...
Malaria, a life-threatening mosquito-borne disease, contributes to a significantly high number of fatalities in tropical/sub-tropical regions due to inadequate detection technology, lack of laboratory experience, and other barriers. From the design perspective of a general-purpose point-of-care solution for detecting malaria along with other tropic...
Depression is the most common mental illness, which has become the major cause of fear and suicidal mortality or tendencies. Currently, about 10% of the world population has been suffering from depression. The classical approach for detecting depression relies on the clinical questionnaire, which depends on the patients’ responses as well as observ...
In this paper, an EEG-based brain controlled wheelchair has been designed using Brain Computer Interface (BCI) with the help of NeuroSky Mind Wave EEG Headset. Quadriplegic patients can not move any organ of their body below their necks. Implementation of this device will assist the quadriplegic patients to move independently on their own. The move...
