稳健性(进化)
试验台
计算机科学
心跳
可穿戴计算机
认知
身体压力
生物医学工程
人工智能
医学
嵌入式系统
心理学
神经科学
内科学
计算机网络
生物化学
化学
计算机安全
基因
作者
Nathan Zavanelli,Sung Hoon Lee,Matthew Guess,Woon‐Hong Yeo
标识
DOI:10.1016/j.bios.2023.115983
摘要
The inability to objectively quantify cognitive stress in real-time with wearable devices is a crucial unsolved problem with serious negative consequences for dementia and mental disability patients and those seeking to improve their quality of life. Here, we introduce a skin-like, wireless sternal patch that captures changes in cardiac mechanics due to stress manifesting in the seismocardiogram (SCG) signals. Judicious optimization of the device's micro-structured interconnections and elastomer integration yields a device that sufficiently matches the skin's mechanics, robustly yet gently adheres to the skin without aggressive tapes, and captures planar and longitudinal SCG waves well. The device transmits SCG beats in real-time to a user's device, where derived features relate to the heartbeat's mechanical morphology. The signals are assessed by a series of features in a support vector machine regressor. Controlled studies, compared to gold standard cortisol and following the validated imaging test, show an R-squared correlation of 0.79 between the stress prediction and cortisol change, significantly improving over prior works. Likewise, the system demonstrates excellent robustness to external temperature and physical recovery status while showing excellent accuracy and wearability in full-day use.
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