Browsing Researchers by Author "prkmect@gmail.com"

Now showing items 1-7 of 7

    • 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. ...

    • 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 ...

    • 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 simple sign language recognition system using affine moment blur invariant features 

      Rajkumar, Palaniappan; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Shuhanaz, Zanar Azalan (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Sign language recognition is one of the most promising sub-fields in gesture recognition research. Effective sign language recognition would grant the deaf and hard-of-hearing expanded tools for communicating with both ...

    • 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 ...