| Type of Material: | Thesis |
| Title: | Representation and analysis of biomedical signals using fourier decomposition method |
| Researcher: | Mehla, Virender Kumar |
| Guide: | Singhal, Amit | Singh, Pushpendra |
| Department: | Department of Electronics and Communications Engineering |
| Publisher: | Bennett University |
| Place: | Greater Noida |
| Year: | 2021 |
| Language: | English |
| Subject: | Fourier Decomposition Method | Engineering | Engineering and Technology | Engineering Biomedical | Biomedical Signals | Electronics and Communication Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electronics and Communications Engineering, Bennett University, Greater Noida; 2021 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-10-12 17:55:53 | |
| 008 | __ | 261012t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464113 |
| 040 | __ | |dIN-AhILN|aBENN_201310 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aMehla, Virender Kumar |
| 110 | __ | |aDepartment of Electronics and Communications Engineering|0U-0890|dGreater Noida|bBennett University|ein |
| 245 | __ | |aRepresentation and analysis of biomedical signals using fourier decomposition method |
| 260 | __ | |aGreater Noida|c2021|bBennett University |
| 300 | __ | |dDVD |
| 502 | __ | |d2021|bPhD|cDepartment of Electronics and Communications Engineering, Bennett University, Greater Noida |
| 518 | __ | |d2021|oDate of Award |
| 518 | __ | |d2018|oDate of Registration |
| 518 | __ | |d2021|oDate of Completion |
| 520 | __ | |aDue to rapid growth in the arena of health care sectors, various non-invasive tools, for in- stance electroencephalogram (EEG), electrocardiogram (ECG) and positron emission tomog- raphy (PET) have established their signi_cance in the analysis and interpretation of various health issues such as brain disorders, heart diseases, sleep disorders and alcoholism identi_- cation. Epilepsy is one of the most prevalent neurological disorders in humans characterized by transient and hyper-synchronization movement of neuronal discharges in the brain cortex. Clinical information related to brain disorders is complex and multi-dimensional, and such in- formation may produce an amalgamation of multiple research problems. Due to its low cost, high temporal resolution and non-invasive nature, EEG is the most frequently used technique for the analysis of various brain disorders. The detection of such abnormalities is usually performed by trained professionals using continuous monitoring of EEG recording, which is a tedious |
| 650 | __ | |aElectronics and Communication Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aFourier Decomposition Method |
| 653 | __ | |aEngineering |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aEngineering Biomedical |
| 653 | __ | |aBiomedical Signals |
| 700 | __ | |aSinghal, Amit|eGuide |
| 700 | __ | |aSingh, Pushpendra|eGuide |
| 856 | __ | |yShodhganga|uhttp://shodhganga.inflibnet.ac.in/handle/10603/355486 |
| 905 | __ | |afromsg |
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