Now showing items 1-4 of 4

    • 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 ...
    • Internet of Things (IoT) Fall Detection using Wearable Sensor 

      Loh Mei, Yee; Lim Chee, Chin; Chong Yen, Fook; Maslia, Dali; Shafriza Nisha, Basah (IOP Publishing, 2019)
      The IoT fall detection system detects the fall through the data classification of falling and daily living activity. It includes microcontroller board (Arduino Mega 2560), Inertial Measurement Unit sensor (Gy-521 mpu6050) ...
    • A Study of Informative EEG Channel and Brain Region for Typing Activity 

      Ng Wei, Bin; Saidatul Ardeenawatie, Awang; Chong Yen, Fook; Lim Chee, Chin; Ong Zhi, Ying (IOP Publishing, 2019)
      Electroencephalography (EEG) is an electrophysiological monitoring method to record electrical activity of the brain. Brain consists of four lobes which is frontal, parietal, temporal and occipital lobe. Each lobe has ...