Context

Early detection of cardiovascular disease could make a difference in terms of treatment success. For that reason, it is important to test the reliability of tools used to deliver diagnoses and to measure the impact of external factors such as stressful situations on alterations in the data collected. Students are an interesting cohort for investigating the effects of stressful situations, as they have a variable number of stress-causing situations in their daily activity over a short period of time.

Basic procedure

This investigation used 50 students, each of whom underwent two 21 -h tests involving the measurement of heart rate in beats per minute while they were carrying out their normal daily activities with their own tools. In this case study, we measured the impact of stressful situations with a tool for the self-diagnosis of cardiovascular diseases, using data from students on holiday and during their final exams. We asked the students to select two days on which to use the device and perform the test. The requirements for the days were given to them as follows: for the first test, the students were required to select a day off when their main activity was rest; for the second test, the students were required to select a day in their final exams week that they expected to be the hardest day with the most stressful situations. This paper describes a case study in which we measured the impact of stressful situations with the students’ own tools for the self-diagnosis of cardiovascular diseases, using data from students on holiday and during their final exams week. These two datasets, as well as the results of the diagnosis, were compared.

Main findings

The analysis of the data showed that if the students were healthy, some cardiovascular conditions could change, and some tendencies could be found in the data, unrelated to stress. The addition of stressful situations does not have a direct impact on the diagnosis. Thus, we can assume that analysing the data with this methodology and technology will give us an accurate result independent of a person’s activities during the test.

Conclusions

In this sense, and taking into account that the diagnosis was the same in both cases for all the students, we can say that stressful situations don’t modify cardiac dynamics, and the diagnosis is useful in all situations. For that reason, the tool is reliable enough to estimate the cardiovascular health of a patient while he or she performs various daily activities by taking advantage of smartphones, commercial heart rate sensors, and IoT platforms.

中文翻译：

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压力对心脏动力学的影响分析：以大学生为例。

语境

心血管疾病的早期发现可以在治疗成功方面有所作为。因此，重要的是测试用于进行诊断的工具的可靠性，并衡量外部因素（例如压力情况）对收集的数据变化的影响。学生是研究压力情境影响的有趣人群，因为他们在短时间内的日常活动中会遇到数量不定的压力情境。

基本程序

这项调查使用了50名学生，每名学生在使用自己的工具进行正常的日常活动时，都进行了两次21小时的测试，涉及每分钟心跳的测量。在本案例研究中，我们使用假期学生和期末考试期间的数据，使用一种用于心血管疾病自我诊断的工具，测量了压力情况的影响。我们要求学生选择两天使用设备并进行测试。对这些天的要求如下：在第一次测试中，要求学生选择一天的主要活动休息日。对于第二项测试，要求学生在期末考试的一周中选择一天，他们希望这是最困难，压力最大的一天。本文介绍了一个案例研究，其中我们使用学生自己的工具对心血管疾病进行自我诊断，利用假期中和期末考试期间的数据来测量压力情况的影响。比较了这两个数据集以及诊断结果。

主要发现

数据分析表明，如果学生健康，则某些心血管疾病可能会改变，并且在数据中可能会发现一些与压力无关的趋势。压力大的情况不会对诊断产生直接影响。因此，我们可以假设使用这种方法和技术分析数据将为我们提供准确的结果，而与测试过程中的活动无关。

结论

从这个意义上讲，考虑到两种情况下所有学生的诊断都是相同的，我们可以说紧张的情况不会改变心脏动力，并且诊断在所有情况下都是有用的。因此，该工具足够可靠，可以利用智能手机，商用心率传感器和物联网平台来估计患者进行各种日常活动时的心血管健康。