Browsing by Subject "Electrocardiogram (ECG)"

Now showing items 1-14 of 14

    • 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, ...

    • Detection of human stress using short-term ECG and HRV signals 

      Karthikeyan, Palanisamy; Murugappan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (World Scientific Publishing Company, 2013-04)
      This paper introduces a method for resolving the problem of human stress detection through short-term (less than 5 min) electrocardiogram (ECG) and heart rate variability (HRV) signals. The explored methodology helps to ...

    • Development of Electrocardiogram (ECG) monitoring device 

      Amy Shikin, Andi Asdi (Universiti Malaysia Perlis (UniMAP)Faculty of Engineering Technology, 2015-12)
      Heart related diseases such as Heart Disease, Stroke and other Cardiovascular Diseases are the leading killer diseases all over the world. Many devices are developed to detect early sign or symptoms of heart abnormalities. ...

    • Early predictionof cardiovascular diseases using ECG signal: A review 

      Nurul Hikmah, Kamaruddin; Murugappan, Muthusamy, Dr.; Mohd Iqbal, Omar, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Electrocardiography is considered a representative signal of cardiac physiology. ECG signal analysis can provide lots of information about heart condition whether it is normal and abnormal. Cardiovascular Disease (CVD) is ...

    • Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform 

      Jerritta, S.; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (John Wiley & Sons, Inc., 2014)
      Emotion recognition using physiological signals has gained momentum in the field of human computer–interaction. This work focuses on developing a user-independent emotion recognition system that would classify five emotions ...

    • FCM clustering of emotional stress using ECG features 

      Zheng, Bong Siao; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2013-04)
      Emotional stress refers to the inducement of stress due to the consequence of a continuous experience of negative emotions (sad, anger, fear and disgust). This work aims to investigate the effect of negative emotions in ...

    • Human emotional stress assessment through Heart Rate Detection in a customized protocol experiment 

      Zheng, Bong Siao; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (IEEE Conference Publications, 2012-09)
      Continuous existence of negative emotions (disgust, anger, fear and sad) over a longer period of time induces emotional stress. This emotional stress can be analyzed through physiological signal characteristics such as ...

    • Methods and approaches on inferring human emotional stress changes through physiological signals: A review 

      Bong, Siao Zheng; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. Under stressful condition, Autonomic ...

    • A new fuzzy based diagnosing system for instantaneous processing 12 lead ECG signal 

      Sameer Kleban, Salih (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2014)
      The Electrocardiogram (ECG) signal reflects the performance of the human heart as an electrical signal. It consists of three main waves (P, QRS complex, and T), and is recorded by an ECG machine in the form of 12 leads ...

    • Non-linear human emotion recognition system using ECG and EMG 

      Jerritta, Selvaraj (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2013)
      This thesis focuses on analyzing different nonlinear algorithms to capture the emotional information present in two bio-signals namely Electrocardiogram (ECG) and Electromyogram (EMG). Emotion recognition is one of the ...

    • Physiological signal analysis for cognitive state estimation 

      Mohiuddin, Ahmad; Atiqul, Islam; Khan Munia, T. T.; Mohd Abdur, Rashid; Tunku Muhammad Nizar, Tunku Mansur (World Scientific Publishing Co., 2012-02)
      The purpose of this paper is to identify inconsistency in human physiological signals based on cognitive states by measuring and analyzing bio-signals. In this paper, the cognitive states are estimated using physiological ...

    • Physiological signal based detection of driver hypovigilance using higher order spectra 

      Arun, Sahayadhas (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2013)
      In recent years, driver hypovigilance which includes driver drowsiness and driver inattention is one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. ...

    • Sudden cardiac death prediction using ECG signal derivative (heart rate variability): a review 

      Murukesan, Loganathan; Murugappan, M.; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr. (IEEE Conference Publications, 2013)
      Sudden cardiac death (SCD) prediction using Electrocardiogram (ECG) signal is a popular area of research because of the seriousness of the matter. There are tons of papers published in this research which available online. ...

    • Wavelet based distortion measurement and enhancement of ECG signal 

      Md. Abdul, Awal; Mohiuddin, Ahmad, Prof. Dr. Engr.; Ismail, Daut, Prof. Dr.; Ernie, Che Mid; Mohd. Abdur, Rashid, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      This paper describes the research carried out to eliminate the noise found in ECG signal and cardiac rhythm using Coiflet wavelet since its scaling function is closely related to the shape of ECG and suited for denoising ...