An Inference Engine to Detect Cardiac Arrhythmia using ECG Signals
| dc.contributor.guide | Padma Sai Y | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Mohebbanaaz | |
| dc.date.accessioned | 2025-01-13T07:22:22Z | |
| dc.date.available | 2025-01-13T07:22:22Z | |
| dc.date.awarded | 2024 | |
| dc.date.completed | 2024 | |
| dc.date.registered | 2019 | |
| dc.description.abstract | Attached | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | 116pp. | |
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/614454 | |
| dc.language | English | |
| dc.publisher.institution | Department of Electronics and Communication Engineering | |
| dc.publisher.place | Kukatpally | |
| dc.publisher.university | Jawaharlal Nehru Technological University, Hyderabad | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Artificial Intelligence | |
| dc.subject.keyword | Cardiac abnormalities | |
| dc.subject.keyword | Cardiac Arrhythmia detection | |
| dc.subject.keyword | Convolutional Neural Network (CNN) unit | |
| dc.subject.keyword | Deep Learning | |
| dc.subject.keyword | DeepNet model | |
| dc.subject.keyword | ECG Signal | |
| dc.subject.keyword | Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Engineering Electrical and Electronic | |
| dc.title | An Inference Engine to Detect Cardiac Arrhythmia using ECG Signals | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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