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dc.contributor.authorCubillos.Calvachi, Juan
dc.contributor.authorPiedrahita-González, Juan
dc.contributor.authorGutiérrez-Ardila, Carlos
dc.contributor.authorMontenegro-Marín, Carlos
dc.contributor.authorGaona-García, Paulo Alonso
dc.contributor.authorBurgos, Daniel (1)
dc.description.abstractContext: 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.es_ES
dc.publisherInternational Journal of Medical Informaticses_ES
dc.relation.ispartofseries;vol. 137
dc.subjectcardiovascular diseasees_ES
dc.subjectdata analysises_ES
dc.subjectinternet of thingses_ES
dc.titleAnalysis of stress's effects on cardiac dynamics: A case study on undergraduate studentses_ES
dc.typeArticulo Revista Indexadaes_ES

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