Now showing items 241-260 of 2402

    • Vulnerabilities and verification of cryptographic protocols and their future in Wireless Body Area Networks 

      Chaudhry, Junaid; Qidwai, Uvais A.; Rittenhouse, Robert G.; Lee, Malrey ( IEEE , 2012 , Conference)
      In network security goals such as confidentiality, authentication, integrity and non-repudiation can be achieved using cryptographic techniques. Cryptographic techniques are techniques to hide information from unauthorized ...
    • Embedded wearable EEG seizure detection in ambulatory state 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( UK Simulation Society , 2014 , Article)
      This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. ...
    • Device interface for people with mobility impairment 

      Qidwai, Uvais; Hassan, Eman M.; Halabi, Reham M. Al; Shakir, Mohamed ( IEEE , 2013 , Conference)
      This paper presents a modified design of an electronically controlled wheelchair that integrates a general-purpose controlling system attached with the main actuators to provide mobility as well as additional control of ...
    • Robotic toys for autistic children: Innovative tools for teaching and treatment 

      Qidwai, Uvais; Shakir, Mohamed; Connor, Olcay B. ( IEEE , 2013 , Conference)
      This paper presents an initial study related to the use of robotic toys as teaching and therapeutic aid tools for teachers and care-givers as well as parents of children with various levels of autism spectrum disorder ...
    • Parametric modeling of EEG signals with real patient data for simulating seizures and pre-seizures 

      Qidwai, Uvais; Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal ( IEEE , 2013 , Conference)
      Numerous theories and models have been developed to associate various findings or in relating EEG patterns to develop a software simulators. In this paper, a Dynamic model for simulating the EEG signal has been developed ...
    • Color-based Fuzzy Classifier for automated detection of cancerous cells in histopathological analysis 

      Qidwai, Uvais; Sadia, Madeeha ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)
      In usual clinical practice, grading of cancer tissues is often done by an expert histopathologist based on their analysis of micro-level architectural features of the cancerous tissue specimen as well as level of presence ...
    • Wirelessly controlled mimicing humanoid robot 

      Qidwai, Uvais; Shakir, Mohamed; Hakouz, Wa'ed; Musa, Nour ( IEEE , 2014 , Conference)
      Educational humanoid robots have started to find there place in institutions for children with special needs and Autism Spectrum Disorder (ASD) children therapy centers. Most of the humanoid robots are expensive, or come ...
    • Fuzzy-EMG-based Assistive interface for children with Spinal-Muscular-Atrophy 

      Qidwai, Uvais; Zahid, Aejaz ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)
      Spinal Muscular Atrophy (SMA) is a progressive neuromuscular disorder. Usually, this condition is considered genetically induced with no known cure to date. Children are born with the condition and develop muscular weakness ...
    • Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( IEEE , 2014 , Conference)
      Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. One such research field is related to epilepsy. The ...
    • Embedded fuzzy classifier for detection and classification of preseizure state using real EEG data 

      Qidwai, Uvais; Malik, Aamir Saeed; Shakir, Mohamed ( Springer Verlag , 2014 , Conference)
      A Classification technique using Fuzzy Logic Inference System to identify and predict the partial seizure from the epileptic EEG data along with preliminary brain conditions in different scenarios is presented in this ...
    • A novel system for scoring of hormone receptors in breast cancer histopathology slides 

      Khan, Adnan M.; Mohammed, Aisha F.; Al-Hajri, Shama A.; Shamari, Hajer M. Al; Qidwai, Uvais; ... more authors ( IEEE , 2014 , Conference)
      Grading of breast cancer is often done by an expert pathologist based on their analysis of micro-level structural features of the cancerous tissue specimen as well as the level of presence of certain protein molecules in ...
    • Ubiquitous monitoring system for critical cardiac abnormalities 

      Qidwai, Uvais; Chaudhry, Junaid Ahsenali; Shakir, Mohamed ( IEEE , 2012 , Conference)
      In many critical cardiac abnormalities, it is desirable to have a monitoring system that can keep a constant surveillance on the conditions of the heart and its related patterns. This can be very convenient in clinical ...
    • Electroencephalography simulation hardware for realistic seizure, preseizure and normal mode signal generation 

      Shakir, Mohamed; Qidwai, Uvais; Malik, Aamir Saeed; Kamel, Nidal ( American Scientific Publishers , 2015 , Article)
      Unlike the ECG and EKG simulators which are very commonly used for these applications, there is a big need for seizure related EEG simulator. Having a hardware system that can be used instead of a real patient to generate ...
    • An automated robust segmentation method for intravascular ultrasound images 

      Manandhar, Prakash; Chen, Chi Hau; Coskun, Ahmet Umit; Qidwai, Uvais A. ( World Scientific Publishing Co. , 2014 , Book chapter)
      It is widely known that the state of a patient's coronary heart disease can be better assessed using intravascular ultrasound (IVUS) than with more conventional angiography. Recent work has shown that segmentation and 3D ...
    • Retinal image enhancement using Laplacian pyramidal multi-scaling 

      Khan, Sharifuzzaman; Qidwai, Uvais; Muhammad, Hamed; Qidwai, Umair ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)
      Early detection of retinal diseases is important to avoid complications and permanent vision loss. In this paper retinal neovascularization and molecular degeneration has been emphasized. Neovascularization is in form of ...
    • Arrhythmia classification using DWT-coefficient energy ratios 

      Mahgoub, Asma; Tanveer, Adeen; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)
      Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ...
    • A Cloud-based Solution for Rapid and Smart Neuropathy Detection 

      Salahuddin, Tooba; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Cloud hosting of software allows easy and quick access to a wider community. In this paper, we propose a cloud-based solution for a smart neuropathy detection system that will benefit the community in three ways. Medical ...
    • Emotional Stability Detection Using Convolutional Neural Networks 

      Hussein, Ealaf S.; Qidwai, Uvais; Al-Meer, Mohamed ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Emotion recognition is the process of identifying human emotions. It is made possible by processing various modalities including facial expressions, speech signals, biometric signals, etc. Facial Emotion Recognition (FER) ...
    • An intelligent sensing system tor healthcare applications using real-time EMG and gaze fusion 

      Al-Mansoori, Aisha; Al-Harami, Alkhzami; AlMesallam, Rawda; Qidwai, Uvais; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)
      This paper propose and discuss a solution of an intelligent visualization/sensing system for people who suffer from spinal muscular atrophy (SMA) which is a disorder that gradually makes the person paralyzed. The solution ...
    • Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)
      In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' ...