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Wireless And Portable Daily Soundscape Monitoring System For Auditory Profiling: Diagnostic Tool For Alzheimer’s Disease

机译:用于听觉分析的无线和便携式日常Soundscape监视系统:阿尔茨海默氏病的诊断工具

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The purpose of this paper is to develop an inexpensive, wearable, and portable monitoring system with wireless capabilities for signal acquisition of the user’s surrounding soundscape and electroencephalography (EEG). The end-goal of this device is to monitor high-risk populations that are developing into earlier stages of Alzheimer’s Disease (AD). Currently, the development of such device is still within preliminary phase and has only been tested in healthy individuals. Future applications of our monitoring system may be used as a non-invasive and inexpensive diagnostic tool for early detection of AD, potentially paving a new platform for therapeutic intervention. The system consists of low-weight bearing components, including an analog front-end and a single-board computer. The analog front-end contains three independent EEG, reference, bias, and auditory recording channels. The single-board computer timestamps and encrypts the incoming channels prior to local or "cloud" storage. Cloud storage provides ease-of-access and offline data analysis without the need to physically extract the data from the monitoring system. A portable/rechargeable battery provides power to the entire monitoring system for over 4 hours of operation. A graphical user-interface (GUI) was developed for secured remote access to data, parameter settings, and system configurations. The performance of the system was tested by measuring the frequency following response (FFR) in the captured EEG signals with respect to periodic auditory stimuli.
机译:本文的目的是开发一种具有无线功能的廉价,可穿戴且便携式的监控系统,以获取用户周围的声景和脑电图(EEG)的信号。该设备的最终目标是监视正在发展为阿尔茨海默氏病(AD)早期阶段的高风险人群。目前,这种装置的开发仍处于初步阶段,仅在健康个体中进行过测试。我们的监控系统的未来应用可能会被用作早期检测AD的非侵入性且廉价的诊断工具,从而可能为治疗干预铺平新的平台。该系统由低重量轴承组件组成,包括模拟前端和单板计算机。模拟前端包含三个独立的EEG,参考,偏差和听觉记录通道。单板计算机在本地或“云”存储之前对时间戳进行时间戳记和加密。云存储提供了易于访问和脱机数据分析的功能,而无需从监视系统中物理提取数据。便携式/可充电电池可为整个监控系统供电,运行时间超过4小时。开发了图形用户界面(GUI),用于安全地远程访问数据,参数设置和系统配置。通过测量相对于周期性听觉刺激的捕获的EEG信号中的频率跟随响应(FFR),测试了系统的性能。

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