Browsing by Author "n 83005244"
Now showing items 1-15 of 15
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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 ... -
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 ... -
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 ... -
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 ... -
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. ... -
Fuzzy classification-based control of wheelchair using EEG data to assist people with disabilities
Qidwai, Uvais A.; Shakir, Mohamed ( Springer Nature , 2012 , Conference)Electroencephalography (EEG) will play an intelligent role our life: especially EEG based health diagnosis of brain disorder and Brain-Computer Interface (BCI) are growing areas of research. However, these approaches fall ... -
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' ... -
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 ... -
Real-time robotic avatar control using fuzzy gaze-classification for people with disability
Qidwai, Uvais; Shakir, Mohamed; Bahameish, Mariam ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)Robotic control with gaze-classification has been an area of interest for quite some time. In this paper, a novel solution of implementing sensing system with intelligent visualization has been presented. Such a system can ... -
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 ... -
Rule-base wearable embedded platform for seizure detection from real EEG data in ambulatory state
Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)This paper describes a classification method is presented using an empirical Rule-base System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable ... -
Ubiquitous Arabic voice control device to assist people with disabilities
Qidwai, Uvais; Shakir, Mohamed ( IEEE , 2012 , Conference)In this paper, the design of a very cost effective Arabic speech language controlled device, with continuous speech recognition is presented. The device has been developed as an integrated prototype (patent pending) with ... -
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 ... -
Ubiquitous monitoring system for critical cardiac abnormalities
Qidwai, Uvais; Chaudhry, Junaid Ahsenali; Shakir, Mohamed; Rittenhouse, Robert G. ( Springer , 2012 , Book chapter)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 ... -
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 ...

