Mohamed Shakir

Learn More
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 with empirical reference to real EEG signals from patients suffering from Seizure and Partial Seizure. Real EEG data set can be obtained(More)
Electrocardiogram (ECG) based health diagnosis of cardiac diseases has been a saturated area of research and almost any known heart-condition can be detected and diagnosed by doctors in the hospital setting. However, these approaches fall extremely short when attempting to design an automatic detection system to do the same. The situation becomes even more(More)
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 with specific software or method for controlling the robot. This gives limits to what can be done with the robot and the software or(More)
This paper describes a classification method for raw sensor data using a Fuzzy Inference System to detect the defects in large LNG tanks. The data is obtained from a Magnetic Flux Leakage (MFL) sensing system which is usually used in the industry to located defects in metallic surfaces, such as tank floors. A robotic inspection system has been developed in(More)
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 have a variety of applications but can be of exceptional importance for patients suffering with spinal muscular atrophy (SMA) disorder,(More)
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' states using on-the-fly calculated features representing the statistical measures for specifically filtered signals from the raw data.(More)
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 EEG based methods are not will designed for pre-occurrence recognition scheme to detect and predict partial seizure for epileptic(More)
  • 1