Wireless EEG/PSG System with Novel Artifact Removal

描述(申请人提供)：脑电神经监测是一种有价值的非侵入性工具，也是诊断和治疗各种神经疾病的最具成本效益的手段。然而，脑电信号非常容易受到各种伪影和环境噪声的影响，这会严重阻碍其视觉或自动分析和解释。目前用于从脑电记录中去除伪影的方法在临床上并不有效，对于实时和长期的神经监测是不可行的。该项目的总体目标是开发一种实时、全自动的信号处理技术，用于高保真地识别和去除通常污染脑电记录的伪像。我们的目标是为包括癫痫、睡眠障碍、神经损伤、麻醉深度和精神障碍在内的各种临床监测应用和系统提供全面、商业可行和用户友好的研究/临床软件包。这些新方法的开发和实施还将显著增强非卧床EEG/PSG监测系统的功能，例如克利夫兰医疗设备公司的无线监测仪。开发的算法将集成到我们的整个EEG/PSG设备系列中。这将使这些无线移动监视器的全部潜力得以实现。它将进一步为实时自动神经监测以及最终的干预系统开辟新的可能性。

DESCRIPTION (provided by applicant): Electroencephalographic neuromonitoring is a valuable non-invasive tool and the most cost-effective means for diagnosis and treatment of various neurological disorders. However, EEG signals are very susceptible to various artifacts and environmental noise, which can seriously impede their visual or automated analysis and interpretation. Methods currently employed for removing artifacts from EEG recordings are not clinically effective or feasible for real-time and long-term neuromonitoring. The overall goal of this project is to develop a real-time, fully-automated signal processing technique for high-fidelity identification and removal of artifacts that commonly contaminate EEG recordings. Our aim is to offer a comprehensive, commercially viable and user-friendly research/clinical software package for a variety of clinical monitoring applications and systems, including epilepsy, sleep disorders, neurological injuries, depth of anesthesia, and psychiatric disorders. The development and implementation of these novel methods will also significantly enhance the functionality of ambulatory EEG/PSG monitoring systems such as Cleveland Medical Devices' wireless monitors. The developed algorithms will be integrated in our entire line of EEG\PSG devices. This will allow realization of the full potential of these wirelessVambulatory monitors. It will further open new possibilities for automated neuromonitoring in real time, and for eventual intervention systems.