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Titlebook: Brain and Human Body Modeling 2020; Computational Human Sergey N. Makarov,Gregory M. Noetscher,Aapo Nummen Book‘‘‘‘‘‘‘‘ 2021 The Editor(s)

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發(fā)表于 2025-3-21 17:59:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Brain and Human Body Modeling 2020
期刊簡稱Computational Human
影響因子2023Sergey N. Makarov,Gregory M. Noetscher,Aapo Nummen
視頻videohttp://file.papertrans.cn/191/190264/190264.mp4
發(fā)行地址Describes computational human body phantom construction and application.Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations.Includes a surve
圖書封面Titlebook: Brain and Human Body Modeling 2020; Computational Human  Sergey N. Makarov,Gregory M. Noetscher,Aapo Nummen Book‘‘‘‘‘‘‘‘ 2021 The Editor(s)
影響因子.?This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields.? Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner..Describes computational human body phantom construction and application;.Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations;.Includes a survey of modern applications for which computational human phantoms are critical..
Pindex Book‘‘‘‘‘‘‘‘ 2021
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How Do Tumor-Treating Fields Work?lity to treat cancer, along with surgery, chemotherapy, and radiation [1]. TTFields are now in clinical trials for a variety of cancer types. While efficacy has been proven in the clinic, the higher efficacy is demonstrated in vitro and in animal models, which indicates much greater clinical efficac
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A Computational Parcellated Brain Model for Electric Field Analysis in Transcranial Direct Current Srain techniques such as transcranial direct current stimulation (tDCS). Such models predict a poor spatial resolution of tDCS, showing a non-focal EF distribution with similar or even higher magnitude values far from the presumed targeted regions, thus bringing into doubt the classical criteria for
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Computational Models of Brain Stimulation with Tractography Analysise acquired or difficult to acquire from experimental or imaging studies. However, most of these models are purely volume conductor models that overlooked the electric excitability of axons in the white matter of the brain. We hereby combined a finite element (FE) model of electroconvulsive therapy (
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Personalization of Multi-electrode Setups in tCS/tES: Methods and Advantagesom differences in the electric field (E-field) induced in subjects’ brains during stimulation. The E-field determines how neurons respond to stimulation, and it can be used as a proxy for predicting the concurrent effects of stimulation, like changes in cortical excitability, and, ultimately, its pl
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