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压力监测:利用心率和心率变异性检测压力的研究——基于智能手表可穿戴设备的初步研究。

Stress Watch: The Use of Heart Rate and Heart Rate Variability to Detect Stress: A Pilot Study Using Smart Watch Wearables.

机构信息

Neuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, Sydney, NSW 2007, Australia.

School of Nursing and Midwifery, Western Sydney University, Penrith, NSW 2747, Australia.

出版信息

Sensors (Basel). 2021 Dec 27;22(1):151. doi: 10.3390/s22010151.

Abstract

Stress is an inherent part of the normal human experience. Although, for the most part, this stress response is advantageous, chronic, heightened, or inappropriate stress responses can have deleterious effects on the human body. It has been suggested that individuals who experience repeated or prolonged stress exhibit blunted biological stress responses when compared to the general population. Thus, when assessing whether a ubiquitous stress response exists, it is important to stratify based on resting levels in the absence of stress. Research has shown that stress that causes symptomatic responses requires early intervention in order to mitigate possible associated mental health decline and personal risks. Given this, real-time monitoring of stress may provide immediate biofeedback to the individual and allow for early self-intervention. This study aimed to determine if the change in heart rate variability could predict, in two different cohorts, the quality of response to acute stress when exposed to an acute stressor and, in turn, contribute to the development of a physiological algorithm for stress which could be utilized in future smartwatch technologies. This study also aimed to assess whether baseline stress levels may affect the changes seen in heart rate variability at baseline and following stress tasks. A total of 30 student doctor participants and 30 participants from the general population were recruited for the study. The Trier Stress Test was utilized to induce stress, with resting and stress phase ECGs recorded, as well as inter-second heart rate (recorded using a FitBit). Although the present study failed to identify ubiquitous patterns of HRV and HR changes during stress, it did identify novel changes in these parameters between resting and stress states. This study has shown that the utilization of HRV as a measure of stress should be calculated with consideration of resting (baseline) anxiety and stress states in order to ensure an accurate measure of the effects of additive acute stress.

摘要

压力是人类正常体验的固有组成部分。尽管在大多数情况下,这种压力反应是有利的,但慢性、高度或不适当的压力反应会对人体造成有害影响。有人认为,与一般人群相比,经历反复或长期压力的个体表现出生物压力反应迟钝。因此,在评估是否存在普遍的压力反应时,重要的是要根据没有压力时的静息水平进行分层。研究表明,导致症状性反应的压力需要早期干预,以减轻可能与心理健康下降和个人风险相关的影响。考虑到这一点,实时监测压力可以为个体提供即时的生物反馈,并允许早期的自我干预。本研究旨在确定心率变异性的变化是否可以预测在两个不同队列中,当暴露于急性应激源时,对急性应激的反应质量,进而为开发可用于未来智能手表技术的生理应激算法做出贡献。本研究还旨在评估基线压力水平是否会影响基线和应激任务后心率变异性的变化。这项研究共招募了 30 名医学生和 30 名普通人群参与者。使用特里尔应激测试来诱发压力,记录静息和应激阶段的心电图,以及秒间心率(使用 FitBit 记录)。尽管本研究未能确定在应激期间心率变异性和心率变化的普遍模式,但确实在这些参数在静息和应激状态之间发现了新的变化。这项研究表明,为了确保对附加急性应激的影响进行准确测量,应考虑静息(基线)焦虑和应激状态,来计算心率变异性作为应激的测量指标。

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