| 000 | 00978nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c57790 _d57790 |
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| 040 | _cRiphah International University | ||
| 082 |
_a610.28 _bSHE |
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| 100 | _aMuhammad Sher Zaman (40810) | ||
| 245 |
_aAdvancing cardiovascular healthcare _ban intelligent approach to arrhythmia detection from ECG signals using machine and deep learinig algorithms |
||
| 260 |
_aIslamabad _b(unpublished) _c2024 |
||
| 300 |
_a65 p. _b: ill. Col. _c; 30 cm. _e+CD |
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| 500 | _aSubmitted in the partial fulfillment of the requirements for the degree of Master of Sciences in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. | ||
| 500 | _aIncludes bibliographical references. | ||
| 500 | _aThesis supervisor: Dr. Faraz Akram | ||
| 502 | _aThesis (MS)--Riphah International University, 2024 | ||
| 546 | _aEnglish | ||
| 650 |
_aBiomedical Engineering _vPremature ventricular contractions _vAbnormal impluse _vAtrial fibrillation _vMorphological _vBME _vFEAS |
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| 942 | _cTH | ||