Wearable Health Monitoring System for Older Adults in a Smart Home Environment
Rajdeep Kumar Nath, Himanshu Thapliyal

TL;DR
This paper presents a comprehensive wearable health monitoring system for older adults in smart homes, integrating stress, blood pressure, and location monitoring to enable personalized long-term care.
Contribution
It introduces a novel integrated wearable system with stress detection, blood pressure estimation, and voice-assisted indoor localization for elderly care in smart homes.
Findings
Stress detection model trained with salivary cortisol data
Blood pressure estimation using PPG and regression techniques
Feasibility demonstrated through prototype and simulation
Abstract
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…
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