Detection of Students’ Mental Health Status: A Decision Support System

Nartia, Ellen Joyce B.; Paragas, Jessie R.; Pascual, Neil

doi:10.1109/icracos53680.2021.9701996

Cited by 1 publication

(3 citation statements)

References 9 publications

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“…DASS 42 is a questionnaire with 42 questions, consisting of 3 emotional scales: depression, anxiety, and stress with levels as shown in Table 5; normal, mild, moderate, severe, and very severe [31]. The DASS 42 scale can be classified into 3 [32], which are the depression scale (questions number 3,5,10,13,16,17,21,24,26,31,34,37,38,42), the anxiety scale (questions number 2, 4, 7, 9, 15, 19, 20, 23, 25, 28, 30, 36, 40, 41.3), and the stress scale (questions number 1,6,8,11,12,14,18,22,27,29,32,33,35,39).…”

Section: Dass 42 Testmentioning

confidence: 99%

“…Each scale consists of 4 conditions, namely normal/mild, moderate, severe, and very severe [34]. Of the 3 scales, if they have at least 2 conditions that are the same as the tool, then they can be used as a benchmark for the most dominating suitability level [5]. If the DASS 42 test is not the same as the tool, then there is no compatibility.…”

Section: Comparison Of Tool Testing and Dass 42 Testsmentioning

confidence: 99%

“…High blood pressure with systolic values >130 mmHg, diastolic >110 mmHg, and a cold body temperature of less than 33 °C can indicate that the person is experiencing stress [5]. Table 1 shows the level of emotion state with blood pressure and body temperature values for each state [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy logic method-based stress detector with blood pressure and body temperature parameters

Fajrin,

Sasmeri,

Riski Prilia

et al. 2024

IJECE

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In this study, using the fuzzy logic method, a stress detection tool was created with body temperature and blood pressure parameters as indicators to determine a person's stress level. This tool uses the LM35DZ sensor to detect body temperature, the MPX5100GP sensor to read blood pressure values, and Arduino Uno as a data processor from sensor readings which are then calculated using the fuzzy logic method as a stress level decision-maker. The resulting output measures blood pressure, body temperature, and the stress level experienced by a person, which will be displayed on the liquid crystal display. Based on the results of testing the body temperature parameter, the highest error generated was 1.17%, and for the blood pressure parameter, the highest error was 2.5% for systole and 0.93% for diastole. Furthermore, testing the stress level displayed on the tool is compared to the depression, anxiety, and stress scales 42 (DASS 42), a psychological stress measuring instrument. From the results of testing the tool with the questionnaire, the average conformity level is 74%.

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