将智能汽车和智能家居转变为私人诊断空间

T. Deserno
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引用次数: 17

摘要

老龄化社会需要颠覆性技术,医疗数字化就是其中之一。与智能汽车的控制器局域网总线类似,我们开发了一种基于总线的智能家居系统。我们将车辆和住宅都视为私人空间,与智能可穿戴设备或智能服装相比,它们提供了足够的电源、计算机和存储硬件。如今的家庭和汽车已经配备了各种各样的传感器,可以提供与健康相关的数据。每天打开卧室门和浴室门之间的时间差,或者打开车门和启动引擎之间的时间间隔,都表明了人们的流动性。如果私人空间配备医疗传感器(所需改造的第一步),我们将进一步增强电子卫生的能力。然而,临床尚未探索对生命体征和生物信号进行不显眼的连续监测,并且缺乏训练人工智能的数据。我们建议在智能车辆上进行方向盘综合心电图记录,在智能家居的椅子和床上进行电容式心电图记录,因为可以早期发现潜在的心房颤动,从而预防中风。此外,处理单元需要数据仓库和分析(第二步)。通信接口需要语义可操作性和安全通道,我们建议使用国际标准事故编号(ISAN)建立(第三步)。最后,与医疗应用(如中风预防)的结合(第四步)将智能环境变成私人诊断空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transforming Smart Vehicles and Smart Homes into Private Diagnostic Spaces
The aging societies require disruptive technologies and digitization of health is one of these. Similar to the controller area network bus of (smart) cars we have developed a bus-based system for smart homes. We consider both, vehicles and homes as private spaces, which, in contrast to smart wearables or smart clothes, provide sufficient power supply, computer, and storage hardware. Today's homes and cars are already equipped with a variety of sensors that deliver data relevant with respect to health. The daily delay between opening of bedroom and bathroom doors, or the time between opening the car's door and starting its engine indicates mobility. We further empower eHealth if private spaces are equipped with medical sensors (Step I of the required transforms). However, unobtrusive continuous monitoring of vital signs and biosignals is no yet explored clinically, and data to train artificial intelligence is missing. We propose steering wheel integrated electrocardiography (ECG) recording in smart vehicles and capacitive ECG recording in the chair and bed of the smart home for stroke prevention due to early detection of latent atrial fibrillation. Furthermore, the processing unit needs data warehousing and analytics (Step II). The communication interface needs semantic operability and secure channels, which we propose to establish using the international standard accident number (ISAN) (Step III). Finally, the combination with a medical application such as stroke prevention (Step IV) turns smart environments into private diagnostic spaces.
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