Md. Meganur Rhaman

Work place: Ahsanullah University of Science and Technology, Dhaka, Bangladesh

E-mail: mizan_aust@yahoo.com

Website:

Research Interests: Engineering, Computational Engineering, Computational Science and Engineering

Biography

Md. Meganur Rhaman. Assistant professor in the Department of Electrical and Electronic Engineering (EEE), Ahsanullah University of Science and Technology (AUST). He joined at AUST in October 2005 after completion his BSc. Engg. in (EEE). He has completed his MEngg. From Bangladesh University of Engineering and Technology (BUET). Right now he teaches the courses on Biomedical Engineering, Measurement and Instrumentation, Basic Electronic, Digital Signal Processing, Electrical & Electronic Circuits and Control System.

Author Articles
Successive RR Interval Analysis of PVC With Sinus Rhythm Using Fractal Dimension, Poincaré Plot and Sample Entropy Method

By Md. Meganur Rhaman A. H. M. Zadidul Karim Md. Maksudul Hasan Jarin Sultana

DOI: https://doi.org/10.5815/ijigsp.2013.02.03, Pub. Date: 8 Feb. 2013

Premature ventricular contractions (PVC) are premature heartbeats originating from the ventricles of the heart. These heartbeats occur before the regular heartbeat. The Fractal analysis is most mathematical models produce intractable solutions. Some studies tried to apply the fractal dimension (FD) to calculate of cardiac abnormality. Based on FD change, we can identify different abnormalities present in Electrocardiogram (ECG). Present of the uses of Poincaré plot indexes and the sample entropy (SE) analyses of heart rate variability (HRV) from short term ECG recordings as a screening tool for PVC. Poincaré plot indexes and the SE measure used for analyzing variability and complexity of HRV. A clear reduction of standard deviation (SD) projections in Poincaré plot pattern observed a significant difference of SD between healthy Person and PVC subjects. Finally, a comparison shows for FD, SE and Poincaré plot parameters.

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