| LAP Lambert Academic Publishing

87,530원  | 20201006  | 9786202815055

This Book describes the epilepsy disorder and it is characterized by the existence of abnormal synchronous discharges in large ensembles of neurons in brain structures. These discharges appear either during seizures (interictal periods) or between seizures (interictal periods). Epileptic seizures are manifestations of epilepsy, which are recorded using the EEG. The objective of this work is to classify the risk level of Epileptic EEG using HMM.

 | KS OmniScriptum Publishing

122,920원  | 20110120  | 9783844300277

Homosexuality has been undermined and pushed down by mainstreams of socio-cultural influences in various societies. However, none of such societal effects could eliminate it. It is the responsibility of every community or mankind to protect them against infections or disease related to their sexual behaviours.

 | KS OmniScriptum Publishing

91,260원  | 20201221  | 9786203198188

Musculoskeletal disorders (MSDs) are an increasing healthcare issue globally, being the second leading cause of disability. MSDs are widespread in many occupations, including those with heavy biomechanical load like construction and factory work, and those with lighter loads like office work. MSDs are injuries or pain in the body's joints, ligaments, muscles, nerves, tendons, and structures that support limbs, neck and back. MSDs can arise from a sudden exertion (e.g.

 | Anchor Academic Publishing

74,310원  | 20170316  | 9783960671220

This project presents the performance analysis of Particle swarm optimization (PSO), hybrid PSO and Bayesian classifier to calculate the epileptic risk level from electroencephalogram (EEG) inputs. PSO is an optimization technique which is initialized with a population of random solutions and searches for optima by updating generations. PSO is initialized with a group of random particles (solutions) and then searches for optima by updating generations.