Browsing Researchers by Author "Palaniappan, Rajkumar"

Now showing items 1-11 of 11

    • Artificial intelligence techniques used in respiratory sound analysis – a systematic review 

      Palaniappan, Rajkumar; Sundaraj, Kenneth, Prof. Dr.; Sundaraj, Sebastian (Walter de Gruyter, 2013)
      Artificial intelligence (AI) has recently been established as an alternative method to many conventional methods. The implementation of AI techniques for respiratory sound analysis can assist medical professionals in the ...

    • Computer-based respiratory sound analysis: a systematic review 

      Palaniappan, Rajkumar; Sundaraj, Kenneth, Prof. Dr.; Nizam Uddin, Ahamed; Arjunan, Agilan; Sundaraj, Sebastian (Medknow publications, 2013)
      Over the years, lung auscultation has been used as an effective clinical tool to monitor the state of the respiratory system. Lung auscultation provides valuable information regarding the patient's respiratory function. ...

    • Hybrid markerless tracking of complex articulated motion in golf swings 

      Sim, Kwoh Fung; Sundaraj, Kenneth, Prof. Dr.; Nizam Uddin, Ahamed; Lam, Chee Kiang; Nadarajah, Sivadev; Sahayadhas, Arun; Md. Asraf, Ali; Md. Anamul, Islam; Palaniappan, Rajkumar (Elsevier Ltd., Apr-2014)
      Sports video tracking is a research topic that has attained increasing attention due to its high commercial potential. A number of sports, including tennis, soccer, gymnastics, running, golf, badminton and cricket have ...

    • Image quality assessment using Elman neural network model 

      Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Palaniappan, Rajkumar; Mohd Shuhanaz, Zanar Azalan (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      Measurement of visual quality is of fundamental importance for numerous image and video processing applications, where the goal of quality assessment algorithms is to automatically assess the quality of images or videos ...

    • Machine learning in lung sound analysis: a systematic review 

      Palaniappan, Rajkumar; Sundaraj, Kenneth, Prof. Dr.; Nizam Uddin, Ahamed (Elsevier Ltd., 2013)
      Machine learning has proven to be an effective technique in recent years and machine learning algorithms have been successfully used in a large number of applications. The development of computerized lung sound analysis ...

    • A phoneme based sign language recognition system using interleaving feature and neural network 

      Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan; Palaniappan, Rajkumar (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed in hearing impaired communities, which can include ...

    • A phoneme based sign language recognition system using skin color segmentation 

      Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan; Palaniappan, Rajkumar (Institute of Electrical and Elctronics Engineering (IEEE), 2010-05-21)
      A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed for deaf communities, which can include interpreters, ...

    • Rehabilitation systems for physically disabled patients: A brief review of sensor-based computerised signal-monitoring systems 

      Nizam Uddin, Ahamed; Sundaraj, Kenneth, Assoc. Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Matiur J., Rahman; Md. Asraf, Ali; Md. Anamul, Islam; Palaniappan, Rajkumar (Scientific Publishers of India, 2013)
      This brief review addresses the existing systems and challenges and provides future recommendations on computer- and biosensor-assisted rehabilitation systems for physically disabled patients. We further list the types of ...

    • Respiratory sound classification using cepstral features and support vector machine 

      Palaniappan, Rajkumar; Sundaraj, Kenneth, Prof. Dr. (IEEE Conference Publications, 2013)
      Respiratory sound analysis provides vital information of the present condition of the Lungs. It can be used to assist medical professionals in differential diagnosis. In this paper, we intend to distinguish between normal ...

    • A survey on automated wheeze detection systems for asthmatic patients 

      Syamimi Mardiah, Shaharum; Sundaraj, Kenneth, Prof. Dr.; Palaniappan, Rajkumar (Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina, 2012)
      The purpose of this paper is to present an evidence of automated wheeze detection system by a survey that can be very beneficial for asthmatic patients. Generally, for detecting asthma in a patient, stethoscope is used for ...

    • Tracheal sound reliability for wheeze data collection method: a review 

      Syamimi Mardiah, Shaharum; Sundaraj, Kenneth, Prof. Dr.; Palaniappan, Rajkumar (IEEE Conference Publications, 2012)
      The purpose of this review is to present the reliability of sound obtained from trachea for wheeze data collection method. Wheeze is the most common sign used in the detection of airway obstruction. Airway obstruction such ...