有哪些信誉好的足球投注网站data-driven approaches for computation in intelligent biomedical devices a case study of eeg monitoring for chronic seizure detection数据驱动的方法计算智能生物医学设备的案例研究脑电图监测慢性癫痫检测.pdfVIP
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data-driven approaches for computation in intelligent biomedical devices a case study of eeg monitoring for chronic seizure detection数据驱动的方法计算智能生物医学设备的案例研究脑电图监测慢性癫痫检测
J. Low Power Electron. Appl. 2011, 1, 150-174; doi:10.3390/jlpea1010150 OPEN ACCESS Journal of Low Power Electronics and Applications ISSN 2079-9268 /journal/jlpea Review Data-Driven Approaches for Computation in Intelligent Biomedical Devices: A Case Study of EEG Monitoring for Chronic Seizure Detection Naveen Verma ,⋆, Kyong Ho Lee ,⋆ and Ali Shoeb Princeton University, Engineering Quadrangle B-226, Olden Street, Princeton, NJ 08544, USA Massachusetts General Hospital MIT , 77 Massachusetts Avenue, Cambridge, MA 02139, USA; E-Mail: ashoeb@ ⋆ Authors to whom correspondence should be addressed; E-Mails: nverma@ (N.V.); kyonglee@ (K.H.L.); Tel.: +1-609-258-1424. Received: 25 November 2010; in revised form: 13 April 2011 / Accepted: 20 April 2011 / Published: 26 April 2011 Abstract: Intelligent biomedical devices implies systems that are able to detect specific physiological processes in patients so that particular responses can be generated. This closed-loop capability can have enormous clinical value when we consider the unprecedented modalities that are beginning to emerge for sensing and stimulating patient physiology. Both delivering therapy (e.g., deep-brain stimulation, vagus nerve stimulation, etc.) and treating impairments (e.g., neural prosthesis) requires computational devices that can make clinically relevant inferences, e
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