Titlebook: Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders; M. Murugappan,Yuvaraj Rajamanickam Book 2022 The Editor(s) (

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Ahmad Martadha Mohamed,Zahrul Akmal DaminSD prior to their onset. As a result, developing an alarm system assists caregivers, doctors and therapists in preventing such aggressive behaviours before they occur. Only a few studies have studied the physiological markers in ASD children and adults. The Pan-Tompkins equation was used to determin

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Ahmad Martadha Mohamed,Zahrul Akmal Damins of motor, sensory, or psychic dysfunction. Tonic-clonic seizure (TCSZ), a type of electroclinical seizure, has a high risk of injury due to the convulsions. Video EEG is an essential tool, employed in the hospitals for the identification of those seizures. This is not practical outside the clinica

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https://doi.org/10.1007/978-981-15-5266-3ous entropy measures have been developed from both theoretical and experimental perspectives. Approximate entropy and Shannon entropy are basic entropy measures that have been successfully applied to various biomedical data. However, these measures have some drawbacks, such as sensitivity to data le

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Land and Housing Controversies in Hong Kongbe made more efficient by using deep learning which can automatically extract effective features. In this work, a 2D convolutional neural network-gated recurrent unit (CNN-GRU) hybrid model is proposed to perform binary, ternary, and quinary classification on the University of Bonn epilepsy database

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Land and Housing Controversies in Hong Konged to automate the final diagnosis step but for the design of sensors, the preprocessing unit, and the processing unit as well. Today, it is an essential requirement that these CAD systems have low latency and low power consumption, which is not possible using a traditional software-based system tha

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https://doi.org/10.1007/978-981-15-5266-3ent losing the capability of controlling his/her actions. Besides being prone to injuries, losing consciousness, and control of the body, patients have a higher risk of experiencing sudden unexpected death in epilepsy (SUDEP). Therefore, continuous multimodal monitoring using electrodermal activity

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