An artificial intelligence base system using ECG signal for human identification
Adnan (21433)
An artificial intelligence base system using ECG signal for human identification - Islamabad (unpublished) 2019 - 51 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references. Thesis supervisor: Dr. Tassadaq Hussain
Thesis (MS)--Riphah International University, 2019
English
Electrocardiography--Artificial intelligence--ECG recording--Processing time--ECG sensor--FEAS
616.12 / ADN
An artificial intelligence base system using ECG signal for human identification - Islamabad (unpublished) 2019 - 51 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references. Thesis supervisor: Dr. Tassadaq Hussain
Thesis (MS)--Riphah International University, 2019
English
Electrocardiography--Artificial intelligence--ECG recording--Processing time--ECG sensor--FEAS
616.12 / ADN