M. Murugappan, Dr.: Recent submissions

Now showing items 21-40 of 67

    • 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 ...

    • Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications 

      Wali, Mousa Kadhim; Murugappan, M., Dr.; R. Badlishah, Ahmad, Prof. Dr. (World Scientific Publishing Co. Pte Ltd, 2012)
      In recent years, the application of discrete wavelet transform (DWT) on biosignal processing has made a significant impact on developing several applications. However, the existing user-friendly software based on graphical ...

    • EMG signal based human stress level classification using wavelet packet transform 

      Karthikeyan, Palanisamy; Murugappan, M., Dr.; Sazali, Yaacob, Prof. Dr. (Springer-Verlag, 2012)
      Recent days, Electromyogram (EMG) signal acquired from muscles can be useful to measure the human stress levels. The aim of this present work to investigate the relationship between the changes in human stress levels to ...

    • Wavelet packet transform based driver distraction level classification using EEG 

      Wali, Mousa Kadhim; Murugappan, M., Dr.; R. Badlishah, Ahmad, Prof. Dr. (Mathematical Problems in Engineering, 2013)
      We classify the driver distraction level (neutral, low, medium, and high) based on different wavelets and classifiers using wireless electroencephalogram (EEG) signals. 50 subjects were used for data collection using 14 ...

    • Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study 

      Yuvaraj, Rajamanickam; Murugappan, M., Dr.; Norlinah, Mohamed Ibrahim; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Sundaraj, Kenneth, Prof. Dr.; Khairiyah, Mohamad; Palaniappan, Ramaswamy; Satiyan, Marimuthu (World Scientific Publishing Co. Pte Ltd, 2014-03)
      Deficits in the ability to process emotions characterize several neuropsychiatric disorders and are traits of Parkinson's disease (PD), and there is need for a method of quantifying emotion, which is currently performed ...

    • Development of cost effective ECG data acquisition system for clinical applications using LabVIEW 

      Murugappan, M., Dr.; Thirumani, Reena; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Murugappan, Subbulakshmi (IEEE Conference Publications, 2014-03)
      The main objective of this work is to develop a portable and cost effective data acquisition (DAQ) system for clinical applications. This DAQ consists of several modules such as power supply, analog to digital converter ...

    • Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT) 

      Murugappan, M., Dr.; Murugappan, Subbulakshmi; Balaganapathy; Gerard, Celestin (IEEE Conference Publications, 2014-03)
      his work aims to identify the most preferred brand on automotive in Malaysia through wireless EEG signals. A group of four major vehicle brand advertisements such as Toyota, Audi, Proton and Suzuki is considered on this ...

    • On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing 

      Yuvaraj, Rajamanickam; Murugappan, M., Dr.; Norlinah, Mohamed Ibrahim; Mohd Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Sundaraj, Kenneth, Prof. Dr.; Khairiyah, Mohamad; Palaniappan, Ramaswamy; Mesquita, Edgar; Satiyan, Marimuthu (BioMed Central Ltd., 2014-03)
      Objective: While Parkinson's disease (PD) has traditionally been described as a movement disorder, there is growing evidence of disruption in emotion information processing associated with the disease. The aim of this study ...

    • Human emotion recognition through short time Electroencephalogram (EEG) signals using Fast Fourier Transform (FFT) 

      Murugappan, Muthusamy, Dr.; Murugappan, Subbulakshmi (Institute of Electrical and Electronics Engineers (IEEE), 2013-03)
      Human emotion recognition plays a vital role in psychology, psycho-physiology and human machine interface (HMI) design. Electroencephalogram (EEG) reflects the internal emotional state changes of the subject compared to ...

    • Multiple physiological signal-based human stress identification using non-linear classifiers 

      Karthikeyan, Palanisamy; Murugappan, Muthusamy, Dr.; Sazali, Yaacob, Prof. Dr. (2013)
      This paper describes the human stress identification using multiple physiological signals. The Electrocardiogram (ECG), Electromyogram (EMG), Heart Rate Variability (HRV), Galvanic Skin Response (GSR), and Skin Temperature ...

    • 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 ...

    • Mathematical modeling of human body for lifting task 

      Ku Nor Syamimi, Ku Ismail; Shafriza Nisha, Basah, Dr.; Nur Hidayah, Omar; Sazali, Yaacob, Prof. Dr.; Murugappan, Muthusamy, Dr. (IEEE Conference Publications, 2012)
      Physical lifting tasks commonly involve to types of body postures, namely, squat lifting and stoop lifting. Studies shows improper body posture during lifting task has detrimental effect to human lower-back region over ...

    • Emotion recognition from facial EMG signals using higher order statistics and principal component analysis 

      Selvaraj, Jerritta; Murugappan, Muthusamy, Dr.; Wan Khairunizam, Wan Ahmad, Dr.; Sazali, Yaacob, Prof. Dr. (Taylor & Francis, 2014-04)
      Higher order statistics (HOS) is an efficient feature extraction method used in diverse applications such as bio signal processing, seismic data processing, image processing, sonar, and radar. In this work, we have ...

    • Time-frequency analysis of EEG signals for human emotion detection 

      Murugappan, Muthusamy, Dr.; M.Rizon; R., Nagarajan; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Zunaidi, Ibrahim (Springer Berlin Heidelberg, 2008)
      This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The main objective of this work is to compare the efficacy of classifying human emotions using two discrete wavelet transform (DWT) ...

    • 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. ...

    • Facial expression based computer cursor control system for assisting physically disabled person 

      Bukhari, Ilias; Vasanthan, M; Nagarajan, R; Murugappan, M; Letchumikanth, J (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Recent years, several researchers are developingc different kinds of assistive devices for physically disabled peoples. In this work, movement of illuminant markers through facial expressions is used to control the cursor ...

    • Review of emotion recognition in stroke patients 

      Yuvaraj, Rajamanickam; Murugappan, M; Mohamed Ibrahim, Norlinah; Sundaraj, Kenneth, Prof. Dr.; Mohamad, Khairiyah (Karger AG, Basel., 2013)
      Objective: Patients suffering from stroke have a diminished ability to recognize emotions. This paper presents a review of neuropsychological studies that investigated the basic emotion processing deficits involved in ...

    • Methods and approaches on emotions recognition in neurodegenerative disorders: a review 

      Yuvaraj, Rajamanickam; Murugappan, M; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2012)
      Emotion is one of the key factors for estimating the human behavior through verbal or non-verbal communication. Development of emotion recognition system gains a major attention in several applications, mainly in brain ...

    • Emotion processing in Parkinson's disease: an EEG spectral power study 

      Yuvaraj, Rajamanickam; Murugappan, M; Mohd Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Norlinah, Mohamed Ibrahim; Sundaraj, Kenneth, Prof. Dr.; Khairiyah, Mohamad; Satiyan, M (Informa Healthcare, 2013)
      Objective: Although an emotional deficit is a common finding in Parkinson's disease (PD), its neurobiological mechanism on emotion recognition is still unknown. This study examined the emotion processing deficits in PD ...

    • EEG dynamics in neurological disorders: Parkinson's disease and stroke 

      Yuvaraj, Rajamanickam; Murugappan, M; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2012)
      The electroencephalogram (EEG) signals provide oscillatory dynamics and valuable information about brain function. In fact, this permits the detection of changes in neurological state which are especially useful in the ...