Now showing items 1-2 of 2

    • Internet of things based multi-sensor patient fall detection system 

      Khan, Sarah; Qamar, Ramsha; Zaheen, Rahma; Al-Ali, Abdul-Rahman; Al Nabulsi, Ahmad; Al-Nashash, Hasan (National Center for Biotechnology Information, 2019)
      Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness. In this study, the authors present a cost-effective ...
    • Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation 

      Mahmoud, Rwan Adil Osman; Shanableh, Tamer; Bodala, Indu P.; Thakor, Nitish V.; Al-Nashash, Hasan (IEEE, 2017-07)
      This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload ...