Learn More
The classification of normal and ailing brain activities through visual inspection proves to be very challenging even for any experienced neurologist. The case is even worse for detection of heterogeneous anomalies like epileptic seizures. Authors have presented robust expert system design for classification of epileptic seizures automatically with an(More)
Epilepsy affects about 1-2 % of world's population, out of which 5-30 % of the patients are misdiagnosed during visual inspection of EEG. Automated seizure detection system can help health professionals in correctly diagnosing epilepsy. Design of automated seizure detection algorithms often requires using multiple features which increases the computational(More)
Epilepsy is a common neurological disorder hallmarked by frequent seizures. Electroencephalography plays an imperative role for diagnosis of epileptic seizures. But since, electroencephalogram (EEG) signals are contaminated with artifacts, detection of epileptic activities is a difficult task even for an experienced neurophysiologist. Therefore, development(More)
Epilepsy is one of the most common brain disorder which affects more than sixty-five million people worldwide. Its diagnosis is usually performed using electroencephalography technique. Since, electroencephalogram (EEG) signals are highly susceptible to artifacts, epilepsy diagnosis is often challenging task. In addition, locating the origin of seizure(More)
This paper demonstrates a novel design for knee-angle measurement in the sagittal plane. In this study, a wearable knee-brace was fabricated using vacuum moulding technique with an infrared (IR) sensor mounted on the brace. The subtle variations in the knee-angle positions were measured in the form of voltage fluctuations of sensor. These signals were(More)
Smart technology provides an important alternative for the assistance of speech disabled individuals like spinal cord injury patients. Out of all biological signals, electro-oculogram promises to be the most appropriate residual ability which could be extracted to generate different characters for daily life communication. The precise change of(More)
Manual classification of ictal and non-ictal activities continues to be very perplexing even for any experienced neurophysiologist. Mostly due of the presence of considerable heterogeneity in the seizure patterns. Extensive research efforts have gone in solving this issue. But, the shortcomings and complexity of the deployed methods till date have been(More)
  • 1