PDF(Pubmed)
Abstract：
Stress is the inherent sensation of being unable to handle demands and occurrences. If not properly managed, stress can develop into a chronic condition, leading to the onset of additional chronic health issues, such as cardiovascular illnesses and diabetes. Various stress meters have been suggested in the past, along with diverse approaches for its estimation. However, in the case of more serious health issues, such as hypertension and diabetes, the results can be significantly improved. This study presents the design and implementation of a distributed wearable-sensor computing platform with multiple channels. The platform aims to estimate the stress levels in diabetes patients by utilizing a fuzzy logic algorithm that is based on the assessment of several physiological indicators. Additionally, a mobile application was created to monitor the users\' stress levels and integrate data on their blood pressure and blood glucose levels. To obtain better performance metrics, validation experiments were carried out using a medical database containing data from 128 patients with chronic diabetes, and the initial results are presented in this study.
摘要：
压力是无法处理需求和事件的固有感觉。如果管理不当,压力会发展成慢性病，导致其他慢性健康问题的发生，比如心血管疾病和糖尿病。过去已经提出了各种应力计，以及各种估计方法。然而,在更严重的健康问题上，比如高血压和糖尿病，结果可以明显改善。本研究提出了具有多通道的分布式可穿戴传感器计算平台的设计和实现。该平台旨在通过利用基于对几种生理指标的评估的模糊逻辑算法来估计糖尿病患者的压力水平。此外,创建了一个移动应用程序来监测用户的压力水平，并整合他们的血压和血糖水平数据。为了获得更好的性能指标，使用包含128名慢性糖尿病患者数据的医学数据库进行验证实验，和初步结果在这项研究中提出。
