用于癫痫性猝死生物标志物发现的多模态数据收集与分析
Collection and Analysis of Multimodal Data for SUDEP Biomarker Discovery.
作者信息
Threeanaew Wanchat, MacDonald James, Sinha Amit, Kaffashi Farhad, Lhatoo Samden D, Loparo Kenneth A
机构信息
Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA.
Institute for Smart, Secure and Connected Systems, Case Western Reserve University, Cleveland, OH 44106, USA.
出版信息
IEEE Sens Lett. 2019 Jan;3(1). doi: 10.1109/LSENS.2018.2880594. Epub 2018 Nov 9.
Abstract
This paper discusses the acquisition and processing of multimodal physiological data from patients with epilepsy in Epilepsy Monitoring Units for the discovery of risk factors for Sudden Expected Death in Epilepsy (SUDEP) that can be combined through integrative analysis for biomarker discovery.
摘要
本文讨论了在癫痫监测单元中从癫痫患者获取和处理多模态生理数据，以发现癫痫性猝死（SUDEP）的风险因素，这些因素可通过综合分析进行组合以发现生物标志物。
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IEEE Sens Lett. 2019 Jan;3(1). doi: 10.1109/LSENS.2018.2880594. Epub 2018 Nov 9.
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