The advent of IoT has enabled the design of connected and integrated smart health monitoring systems. These smart health monitoring systems could be realized in a smart home context to render long-term care to the elderly population. In this paper, we present the design of a wearable health monitoring system suitable for older adults in a smart home context. The proposed system offers solutions to monitor the stress, blood pressure, and location of an individual within a smart home environment. The stress detection model proposed in this work uses Electrodermal Activity (EDA), Photoplethysmogram (PPG), and Skin Temperature (ST) sensors embedded in a smart wristband for detecting physiological stress. The stress detection model is trained and tested using stress labels obtained from salivary cortisol which is a clinically established biomarker for physiological stress. A voice-based prototype is also implemented and the feasibility of the proposed system for integration in a smart home environment is analyzed by simulating a data acquisition and streaming scenario. We have also proposed a blood pressure estimation model using PPG signal and advanced regression techniques for integration with the stress detection model in the wearable health monitoring system. Finally, the design of a voice-assisted indoor location system is proposed for integration with the proposed system within a smart home environment. The proposed wearable health monitoring system is an important direction to realize a smart home environment with extensive diagnostic capabilities so that such a system could be useful for rendering long-term and personalized care to the aging population in the comfort of their home.
翻译:IOT的出现使得能够设计连接和综合的智能健康监测系统,这些智能健康监测系统可以在智能手腕带内嵌入智能手腕带的感应器中实现,以便向老年人提供长期护理。在本文中,我们介绍适合老年人的智能家庭环境的耗损性健康监测系统的设计。拟议的系统为监测压力、血压和个人在智能家庭环境中的位置提供了解决办法。在这项工作中提议的压力检测模型使用电极运动(EDA),光肿缩水成像(PPG)和皮肤温度感应器(ST),嵌入智能手腕带,以便发现生理压力。在本文中,我们使用从盐酸皮质皮质骨质骨质素获得的感应力标签,对压力感应力检测模型进行培训和测试。这是临床上为生理压力建立的生物标志。还实施了一个声音原型模型,并且通过模拟数据获取和流传情况来分析拟建立的智能家庭环境整合系统的可行性。我们还提议了一个血压估计模型,使用PGPG信号和高级声音回归技术,以便将压力检测模型与压力模型纳入可磨损的生理压力模型,以探测的生理压力性工作压力感应激体压力感应激体压力检测系统。最后,在提议的家庭系统内部系统内将设计一个可实现重要的系统内的重要环境系统。在提议的系统内进行一个长期的系统内进行改造。