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Want to detect and quantify the level of your stress at its early stage? Advanced neuroimaging techniques and Artificial intelligence algorithms have been proven to do that and this book by a leading neuroscientist will show you how!. People spend most of their time in the workplace, often with high workloads and time pressure, a practice that contributes to increased stress levels. An accurate stress assessment method may thus be of importance to clinical intervention and diseases prevention. While different neuroimaging modalities have been proposed to detect mental stress, each modality…mehr

Produktbeschreibung
Want to detect and quantify the level of your stress at its early stage? Advanced neuroimaging techniques and Artificial intelligence algorithms have been proven to do that and this book by a leading neuroscientist will show you how!. People spend most of their time in the workplace, often with high workloads and time pressure, a practice that contributes to increased stress levels. An accurate stress assessment method may thus be of importance to clinical intervention and diseases prevention. While different neuroimaging modalities have been proposed to detect mental stress, each modality experiences certain limitations. Dr. Fares introduced the state of the art of mental stress assessment methods and developed novel fusion methods on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals to improve the detection rate of mental stress. He brings this book to you, in the hope, it will help you to select the best objective assessment method to quantify the level of your stress as well as to help researchers in conducting experiments and developing new data analysis methods.
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Autorenporträt
Dr. Fares Al-Shargie, is working at the American University of Sharjah (AUS), United Arab Emirates. Dr. Fares is a Cognitive/Behavioral/Developmental/Computational Neuroscientist with 9 years of research in academia. Approaches: Behavioral Analysis, Human Brain Imaging, Neurophysiology, Neuroendocrinology, and Computational Modeling.