00982nam a22001937a 4500952013200000999001700132040003600149082001600185100001800201245008600219260003500305300003300340500016400373500004100537500004400578502005500622546001200677650009900689  00104070aRIUbRIUd2019-09-25eRiphah International Universityl0o616.12 ADNp50587r2019-09-25 00:00:00t1w2019-09-25yTH  c26692d26692  cRiphah International University  a616.12bADN  aAdnan (21433)  aAn artificial intelligence base system using ECG signal for human identification   aIslamabadb(unpublished)c2019  a51 p.b: ill.c; 30 cm.e+CD  aSubmitted in fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering to the Faculty of Engineering and Applied Sciences.   aIncludes bibliographical references.  aThesis supervisor: Dr. Tassadaq Hussain  aThesis (MS)--Riphah International University, 2019  aEnglish  aElectrocardiographyvArtificial intelligencevECG recordingvProcessing timevECG sensorvFEAS