Psychological stress level detection based on electrodermal activity

2018 ◽  
Vol 341 ◽  
pp. 50-53 ◽  
Author(s):  
Yun Liu ◽  
Siqing Du
Keyword(s):  
Psychological Stress ◽  
Stress Level ◽  
Electrodermal Activity

scholarly journals Propensity-score-matched Evaluation of Psychological Stress and Hair Cortisol among People Living with HIV in China

2020 ◽  
Author(s):  
Xu Chen ◽  
Cheng-Bo Zeng ◽  
Shuai-Feng Liu ◽  
Xiao-Ming Li ◽  
Shan Qiao ◽  
...  
Keyword(s):  
Propensity Score ◽  
Psychological Stress ◽  
Perceived Stress ◽  
Cortisol Level ◽  
Stress Level ◽  
People Living With Hiv ◽  
Hair Cortisol ◽  
Mental Resilience ◽  
Living With Hiv

Abstract To compare the psychological stress level and hair cortisol level of people living with HIV (PLWH) with those without HIV. A total of 220 subjects were initially enrolled in the study, including 20 subjects living without HIV and 200 PLWH. Psychological stress level, including quality of life, anxiety, perceived stress and mental resilience, was self-reported in both groups with related scales. The cortisol in hair were extracted and assessed by LC-APCI-MS/MS method. Propensity score matching analysis was performed to balance the baseline covariates of the two groups, whereas the difference in psychological stress level and hair cortisol level between the two groups were compared. Furthermore, the associations between psychological stress level and cortisol level were examined. Two comparison groups were matched by 1:3 propensity score matching, which yield 20 subjects living without HIV and 60 PLWH. Ultimately, in regarding to the psychological stress, the levels of the anxiety, perceived stress and mental resilience were higher among PLWH than those living without HIV, but the people without HIV showed higher quality of life. The hair cortisol level in PLWH was higher than those living without HIV. However, there were no significant associations between psychological stress level and cortisol level. The PLWH showed higher level of psychological stress and cortisol than those without HIV. No relationship was seen between psychological stress level and cortisol level in PLWH.

QUANTIFYING THE ACCUMULATED STRESS LEVEL USING A POINT-OF-CARE TEST DEVICE

2014 ◽  
Vol 26 (05) ◽  
pp. 1450053 ◽  
Author(s):  
Chi-Chun Chen ◽  
Shih-Chi Lin ◽  
Ming-Shing Young ◽  
Chin-Lung Yang
Keyword(s):  
Heart Rate ◽  
Fuzzy Logic ◽  
Stress Level ◽  
Rating Scale ◽  
Mental Arithmetic ◽  
Electrodermal Activity ◽  
Point Of Care ◽  
Skin Conductance Level ◽  
Physiological Parameters ◽  
Effective Response

This study developed a portable embedded multi-sensor fusion for point-of-care health monitoring to evaluate the accumulated stress levels of affected people. The instrument integrates numerous physiological parameters to quantify the level of accumulated stress, which is one of the leading causes of cardiovascular disease. The participants in this study were assigned daily mental arithmetic tasks over one week to simulate stress-accumulation conditions. Fuzzy logic rules were defined to quantify the accumulated stress level by combining electrodermal activity (EDA) and electrocardiograph (ECG) and photoplethysmograph (PPG) signals. The trends of 21 physiological parameters were analyzed and compared, from which the following four physiological parameters were identified as being representative of the effective response to cumulative stress: (1) the heart rate, (2) the ratio of low- to high-frequency powers for heart rate variability (HRV), (3) the skin conductance level (SCL) and (4) the liver harmonic proportion (i.e. the first harmonic of the peripheral blood volume pulse spectrum). Subsequently, the observed trends of these four parameters were combined to enhance the robustness and the reliability of the proposed system by adjusting the applied fuzzy logic rules. The experimental results show an 82% correlation between the measured level of accumulated stress and the social readjustment rating scale (SRRS) obtained from subject-independent testing.

scholarly journals Anxiety Levels among Healthcare Professionals during Covid-19 Pandemic: A Multifactorial Study

2020 ◽  
Author(s):  
Muhammad Mansoor Hafeez ◽  
Arif Malik Prof. Dr
Keyword(s):  
Psychological Stress ◽  
Stress Level ◽  
Healthcare Professionals ◽  
Exposed Group ◽  
Anxiety Score ◽  
Contributing Factors ◽  
The Family ◽  
Anxiety Levels ◽  
Medical Healthcare

The current study focuses on psychological stress level among doctors, estimated bycalculating anxiety score. For the assessment of anxiety levels, the GAD-7 scale was used.Chi-Square test and Odd ratios were calculated among the exposed and not exposed groupsinvolved in the management of COVID-19 patients. Results revealed increased anxiety levelsin the exposed group. Besides, the availability of personal protective equipment’s and stressfrom the family to quit the job were the substantial contributing factors that increasedanxiety. Based on the results, it is proposed that the concern administrative authorities shouldconsider these findings to facilitate medical healthcare professionals.

scholarly journals Continuous measurement of stress levels in naturalistic settings using heart rate variability: An experience-sampling study driving a machine learning approach

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 239
Author(s):  
Pietro Cipresso ◽  
Silvia Serino ◽  
Francesca Borghesi ◽  
Gennaro Tartarisco ◽  
Giuseppe Riva ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Psychological Stress ◽  
Stress Level ◽  
Experience Sampling ◽  
Mobile System ◽  
Stress Levels ◽  
Decision Module ◽  
Leave One Out ◽  
Research Challenge

<p class="Abstract"><span id="page629R_mcid43" class="markedContent"><span dir="ltr">Developing automatic methods to measure psychological stress in everyday life has become an important research challenge. Here, we describe the design and implementation of a personalized mobile system for the detection of psychological stress episodes based on Heart-Rate Variability (HRV) indices. The system’s architecture consists of three main modules: a mobile acquisition module; an analysis-decision module; and a visualization-reporting module. Once the stress level is calculated by the mobile system, the visualization-reporting module of the mobile application displays the current stress level of the user. We carried out an experience-sampling study, involving 15 participants, monitored longitudinally, for a total of 561 ECG analyzed, to select the HRV features which best correlate with self-reported stress levels. Drawing on these results, a personalized classification system is able to automatically detect stress events from those HRV features, after a training phase in which the system learns from the subjective responses given by the user. Finally, the performance of the classification task was evaluated on the empirical dataset using the leave one out cross-validation process. Preliminary findings suggest that incorporating self-reported psychological data in the system’s knowledge base allows for a more accurate and personalized definition of the stress response measured by HRV indices.</span></span></p>

scholarly journals Association of Self-Perceived Psychological Stress with the Periodontal Health of Socially Deprived Women in Shelter Homes

2021 ◽  
Vol 18 (10) ◽  
pp. 5160
Author(s):  
Syeda A. Tanveer ◽  
Ashar Afaq ◽  
Montaser N. Alqutub ◽  
Nada Aldahiyan ◽  
Abdulrahman M. AlMubarak ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Psychological Stress ◽  
Stress Level ◽  
Binary Logistic Regression ◽  
Age Group ◽  
Periodontal Health ◽  
Chi Square ◽  
Periodontal Status ◽  
Periodontal Index ◽  
Chi Square Test

The present study aimed to assess the effect of self-perceived psychological stress on the periodontal health of socially deprived women. The study included three hundred and eighty-five socially deprived women residing in shelter homes. The presence of stress and its severity was assessed by using Sheldon Cohen’s 10-item perceived stress scale (PSS), and periodontal health status was assessed utilizing the community periodontal index. Statistical analyses were performed using an independent sample t-test, a one-way ANOVA, the Pearson chi-Square test, and binary logistic regression. Results: A total of 385 samples were included, the majority of whom (n = 297; 72.5%) belonged to the age group of 15–30 years. There were 34 (8.8%) participants who were educated up to graduate level. A total of 47.8% of the women were found with healthy periodontal status, and 52.5% of the samples were diagnosed with major psychological stress. Half of the samples (201-52.2%) had a periodontal problem. The mean PSS was found statistically significant concerning age group, education, and psychological stress level. In the univariate logistic regression analysis, a significant association of periodontal status was observed with the age group 31–45 years [(OR = 1.76; 95% C.I (1.11–2.78)] and with a major psychological stress level [(OR = 2.60; 95% C.I (1.72–3.93)]. Psychosocial stress among socially deprived women was found to be a risk factor for periodontal disease.

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