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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 46464 (08)
- University: Sharif University of Technology
- Department: Mechanical Engineering
- Advisor(s): Ahmadian, Mohammad-Taghi
- Abstract:
- After Alzheimer and brain attack, the most common neurological disorder is epilepsy, which often involves seizures. In two-thirds of patients with epilepsy, the seizures can be controlled by antiepileptic drugs, and about 8% of patients can use epilepsy surgery; but unfortunately there is no acceptable treatment for the other 25% of these patients. Therefore preventing from epilepsy losses is a very important topic.
The gold standard for the diagnosis of the epilepsy is EEG monitoring. In this method, electrodes are placed on the scalp. Electrodes are uncomfortable to wear, and cause invasion to the patient, hence long-term monitoring and home monitoring is not feasible. In some patients, seizures manifest themselves as violent, uncontrolled movements of the body. Thus these seizures can be detected by use of accelerometers. In this study a device has been developed to acquire acceleration of wrist of patients in three directions non-invasively.
To remove noises and gravitational force, raw data passes through two filters. To reduce burden of calculations, in an initial process, data related to times without any movement has been removed. In main process stage, after examining different features in time and frequency domains, features have been selected which highly discriminate epileptic seizure and normal activities. With setting a threshold, these two classes of movements have been identified - Keywords:
- Epilepsy ; Epileptic Seizure Detection ; Accelerometer ; Thresholding
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