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pro vyhledávání: '"Daniel Graupe"'
Autor:
Daniel Graupe
Publikováno v:
European Journal of Translational Myology, Vol 20, Iss 3, Pp 131-138 (2010)
The paper discusses how recognition of individual and combined muscular activation modes (functions) and the prediction of intended such modes can be accomplished by identifying parameters of noninvasive surface EMG signals. It outlines the mathemati
Externí odkaz:
https://doaj.org/article/9c043359d4ad48fea6590ea5491fa882
Autor:
Daniel Graupe
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This vol
Autor:
Daniel Graupe
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scient
Autor:
Leo Verhagen Metman, Daniela Tuninetti, Ishita Basu, Nivedita Khobragade, Daniel Graupe, Konstantin V. Slavin
Publikováno v:
Neuromodulation: Technology at the Neural Interface. 21:611-616
BACKGROUND In closed-loop on-demand control (ODC) of deep brain stimulation (DBS), stimulation is applied only when symptoms appear. Following stimulation of a fixed duration, DBS is switched off until the symptoms reappear. By repeating these demand
Autor:
Daniel Graupe
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural netwo
Autor:
Daniel Graupe
Publikováno v:
Advanced Series in Circuits and Systems ISBN: 9789811201226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf08f33fc949269b35ff9c6e6219ce64
https://doi.org/10.1142/11306
https://doi.org/10.1142/11306
Publikováno v:
EMBC
The results presented in this paper indicate that future on-demand Deep Brain Stimulation (DBS) systems for chronic use in patients with movement disorders should continuously and adaptively "learn" in order to maintain high symptom control efficacy.
Publikováno v:
Sleep and Breathing. 19:205-212
Conventional therapies for obstructive sleep apnea (OSA) are effective but suffer from poor patient adherence and may not fully alleviate major OSA-associated cardiovascular risk factors or improve certain aspects of quality of life. Predicting the o
Autor:
Daniel Graupe
Publikováno v:
Deep Learning Neural Networks ISBN: 9789813146440
Deep Learning Neural Networks: Design and Case Studies
Deep Learning Neural Networks: Design and Case Studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8a78e6f9d4e3169c29f3ad45892e19e
https://doi.org/10.1142/9789813146464_0004
https://doi.org/10.1142/9789813146464_0004
Autor:
Daniel Graupe
Publikováno v:
Deep Learning Neural Networks ISBN: 9789813146440
Deep Learning Neural Networks: Design and Case Studies
Deep Learning Neural Networks: Design and Case Studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08ef45cd0b9bd53bdaf8ed4e0b76f7d7
https://doi.org/10.1142/9789813146464_0001
https://doi.org/10.1142/9789813146464_0001