使用rest -基于心率变异性的生活方式评估平台对大规模人群进行生活方式评估

Swaathi Venkat, Dhinesh Ramasamy, S. Vijayarangan, Deepak Vagish, Teja Prakash Kakarla, S. Preejith, M. Sivaprakasam
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引用次数: 1

摘要

在当今快节奏和大流行病肆虐的世界,迫切需要对每个人的生活方式进行评估,以了解和评估他们的整体福祉。心理健康比身体健康更难定义,因为大多数心理诊断依赖于个人基于个人经历的感知。有许多基于问卷的生活方式评估调查,但它们本质上是主观的,很容易产生感知偏差。当前需要的是客观可靠的基于生理学的方法。Repose是亚洲首个基于心率变异性(HRV)的生活方式评估平台,使用心电图(ECG)信号。该平台由基于胸部的可穿戴设备、移动应用和web应用组成,能够24小时不间断记录数据并提供报告。生活方式的关键支柱,即压力、恢复、睡眠和体育活动被量化,并为用户提供有价值的见解。本文阐述了Repose平台的实用性和可用性,并对Repose平台在大规模人群中获得的结果进行了统计观察。本文介绍了对492名受试者进行24小时生活方式评估的统计结果,其中包括在压力恢复区域花费的时间、睡眠质量和对体育活动的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lifestyle Assessment of Large Scale Population using Repose - A Heart Rate Variability based Lifestyle Assessment Platform
In today's fast-paced and pandemic-hit world, there is an obstinate need for a lifestyle assessment for every individual to understand and assess their overall well-being. It is harder to define mental health than physical health because most of the psychological diagnoses depend on an individual's perception based on their personal experiences. There are numerous questionnaire-based lifestyle assessment surveys available but they are subjective in nature and are highly prone to perception bias. The need of the hour is physiology-based methods that are objective and hence reliable. Repose is Asia's first Heart Rate Variability (HRV) based lifestyle assessment platform using the Electrocardiogram (ECG) signal. The platform consists of a chest-based wearable device, mobile application and web application and is capable of recording data continuously for 24 hours and provide reports for the same. The key pillars of lifestyle namely, stress, recovery, sleep and physical activity are quantified and valuable insights are provided to the user. This paper explains the utility and usability of Repose platform and the statistical observations of the results obtained using the Repose platform for a large scale population. The statistical results for 24-hour lifestyle assessments for 492 subjects for the duration spent in stress recovery regions and sleep quality and insights on physical activity are presented in this paper.
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