| 000 | 00838nam a22001817a 4500 | ||
|---|---|---|---|
| 999 |
_c26692 _d26692 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a616.12 _bADN |
||
| 100 | _aAdnan (21433) | ||
| 245 | _aAn artificial intelligence base system using ECG signal for human identification | ||
| 260 |
_aIslamabad _b(unpublished) _c2019 |
||
| 300 |
_a51 p. _b: ill. _c; 30 cm. _e+CD |
||
| 500 | _aSubmitted in fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. | ||
| 500 | _aIncludes bibliographical references. | ||
| 500 | _aThesis supervisor: Dr. Tassadaq Hussain | ||
| 502 | _aThesis (MS)--Riphah International University, 2019 | ||
| 546 | _aEnglish | ||
| 650 |
_aElectrocardiography _vArtificial intelligence _vECG recording _vProcessing time _vECG sensor _vFEAS |
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