Now showing items 1-2 of 2

    • Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ammar, Zakaria; Latifah Munirah, Kamarudin; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Maz Jamilah, Aznan (Atlantis Press, 2014)
      Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and ...
    • Rapid detection method of bacteria species on diabetic infected foot using E-Nose technology 

      Muhammad Nur Hadi, Salleh; Mohammad Iqbal, Omar, Assoc. Prof. Dr.; Ali Yeon, Md. Shakaff, Prof. Dr.; Amizah, Othman, Dr.; Ammar, Zakaria; Azian Azamimi, Abdullah; Mohd Sadek, Yasin; Saiful Akmal, Yusof (Macao Innovation & Invention Association, 2012-06-29)
      Array based gas sensor technology namely Electronic Nose (E-nose) and Gas Chromatography-Mass Spectrometry (GC-MS) proposed for a rapid and a robust analytical approach for odour measurement especially for a medical use.