Browsing by Author "Vikneswaran, Vijean"

Now showing items 1-5 of 5

    • Atrial Fibrillation Identification through ECG Signals 

      Ng Joe, Yee; Vikneswaran, Vijean; Saidatul Ardeenawatie, Awang; Chong Yen, Fook; Lim Chee, Chin (IOP Publishing, 2019)
      This paper presents an algorithm formulated to identify the atrial fibrillation complications through electrocardiogram (ECG) signals. The ECG data for the study was retrieved from Physio Net which consists of normal, ...

    • Differentiate Characteristic EEG Tobacco Smoking and Nonsmoking 

      Lim Chee, Chin; Asmiedah, Muhamad Zazid; Chong Yen, Fook; Vikneswaran, Vijean; Saidatul Ardeenawatie, Awang; Marwan, Affandi; Lim Sin, Che (IOP Publishing, 2019)
      Electroencephalogram (EEG) signal is non-stationary signal that have low frequency component and amplitude compared to stationary signal. Therefore, present of unwanted substance (nicotine) in Tobacco smoking will alter ...

    • Discrimination of healthy controls and selected visually impaired through visually evoked potentials 

      Vikneswaran, Vijean (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2014)
      This thesis presents a digital signal processing based detection of healthy controls and selected visually impaired through visually evoked potentials (VEP). Visual impairment is a term used by ophthalmologist to describe ...

    • Objective analysis of vision impairments using single trial VEPs 

      Muthusamy, Hariharan, Dr.; Vikneswaran, Vijean; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual stimuli. These VEP are recorded non-invasively by placing the surface electrodes at the scalp, and ...

    • Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm 

      Farah Nazlia, Che Kassim; Vikneswaran, Vijean; Hariharan, Muthusamy; Rokiah, Abdullah; Zulkapli, Abdullah (IOP Publishing, 2019)
      Voice pathology analysis has been one of the useful tools in the diagnosis of the pathological voice. This method is non-invasive, inexpensive and reduces time required for analysis. This paper investigates the feature ...