An artificial intelligence base system using ECG signal for human identification (Record no. 26692)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00838nam a22001817a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 616.12 |
| Author Mark | ADN |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Adnan (21433) |
| 245 ## - TITLE STATEMENT | |
| Title | An artificial intelligence base system using ECG signal for human identification |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | (unpublished) |
| Date of publication | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 51 p. |
| Illustrations | : ill. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Tassadaq Hussain |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2019 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Electrocardiography |
| Keywords | Artificial intelligence |
| -- | ECG recording |
| -- | Processing time |
| -- | ECG sensor |
| -- | FEAS |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| Main Campus | Main Campus | Riphah International University | 616.12 ADN | 50587 | 1 | Thesis |