Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7216
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dc.contributor.authorSingh, Sakshi-
dc.contributor.authorSingh, Suryakiran-
dc.contributor.authorBhooshan, Sunil [Guided by]-
dc.date.accessioned2022-09-30T09:14:30Z-
dc.date.available2022-09-30T09:14:30Z-
dc.date.issued2016-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7216-
dc.description.abstractIn this project, the aim is to detect the defective heartbeat by a non-invasive method. Preliminary detection of the heartbeat can help in various stages afterwards and can lead to high performance heart diagnostics. The Fast-Fourier transform of a defective ECG is found out and is compared against the FFT of a normal ECG. Time-domain analysis is observed by calculating the power spectral density after noise is removed from the ECG and then it is compared against a normal ECG with noise removed as well. Similarly, Auto-correlation of both defective and normal ECG are also found out and then their crosscorrelation helps in establishing relationships between the two wave-forms. All the above mentioned parameters helps in establishing relationships between the defective and normal ECG. And such procedures with pre-processing techniques implemented can help in developing of a non-invasive tool for detecting a defective heart-beat.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectElectrocardiogramen_US
dc.subjectMATLAB codesen_US
dc.titleDefective Heartbeat Detectionen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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