A new perspective of detecting and classifying neurological disorders through recurrence and machine learning classifiers

Millions of people around the world are affected by various neurological disorders. These disorders lead to difficulty in daily activities and often lead to the medical assistance for prolonged period of time. Neurological disorders like epilepsy affect the muscular functions of body and may lead to fatal injuries because of the loss of control over the body during the epileptic fits. Similarly, Alzheimer's disease occurs mostly in elderly people and lead to memory loss. Bruxism is another such neurological disorder which leads to clenching of teeth during sleep or while the patient is awake. The doctors and clinicians use various methods to detect the neurological disorders. These methods include analyzing the EEG signal patterns or by observing the symptoms of the patient. But analyzing the EEG patterns is not an easy task as EEG signals are highly spontaneous and chaotic and they vary at a very fast pace.This work proposes a novel approach for detection of neurological disorders based on the phenomena of recurrences that are generally found in EEG signals of the patients with neurological disorders. A computer assisted algorithm is developed in this work and then the coding has been done in MATLAB. To quantify the recurrence, a parameter called "Coupling Index (ρπ)", has been used. The disorders are detected on the basis of the value of coupling index. The use of machine learning classifiers has been done to classify the values of coupling index for the various neurological disorders. The machine learning models are trained and tested by taking values of "Coupling Index (ρπ)" as an input and the PYTHON platform is used for testing and training of various machine learning classifiers. Once the models are trained and tested with the known patients it had led to the setting of the range of coupling index for the patients with Epilepsy, Alzheimer's disease and Bruxism. Thus this work acts as an easy test for detecting neurological disorders and further it classifies the patients of epilepsy, Alzheimer's and bruxism, which will help in more focused treatment of patients.