Speech as an indicator for psychosocial stress: A network analytic approach DOI Creative Commons
Mitchel Kappen, Kristof Hoorelbeke, Nilesh Madhu

et al.

Behavior Research Methods, Journal Year: 2021, Volume and Issue: 54(2), P. 910 - 921

Published: Aug. 6, 2021

Abstract Recently, the possibilities of detecting psychosocial stress from speech have been discussed. Yet, there are mixed effects and a current lack clarity in relations directions for parameters derived stressed speech. The aim study is – controlled induction experiment to apply network modeling (1) look into unique associations between specific parameters, comparing networks containing fundamental frequency (F0), jitter, mean voiced segment length, Harmonics-to-Noise Ratio (HNR) pre- post-stress induction, (2) examine how changes versus (i.e., change network) each related self-reported negative affect. Results show that similar after before with central role HNR, which shows complex interplay used not impacted by (aim 1). Moreover, we found (consisting pre-post difference values) jitter being positively affect 2). These findings illustrate first time well-controlled but ecologically valid setting different context stress. Longitudinal experimental studies required further investigate these relationships test whether identified paths indicative causal relationships.

Language: Английский

The Stress and Adversity Inventory for Adults (Adult STRAIN) in Brazilian Portuguese: Initial Validation and Links With Executive Function, Sleep, and Mental and Physical Health DOI Creative Commons
Milton José Cazassa, Margareth da Silva Oliveira, Chandler M. Spahr

et al.

Frontiers in Psychology, Journal Year: 2020, Volume and Issue: 10

Published: Jan. 28, 2020

It has been widely hypothesized that stressors occurring over the lifespan exert a cumulative impact on health, but little work directly tested these theories given difficulty associated with measuring stress exposure lifespan. We addressed this issue in Brazil by translating Stress and Adversity Inventory for Adults (Adult STRAIN) into Brazilian Portuguese. then examined instrument's usability acceptability; concurrent, discriminant, predictive, incremental validity; test-retest reliability. Participants were 330 adults (238 women; Mage = 32.16; range: 18-76 years old) who completed Adult STRAIN Portuguese, Childhood Trauma Questionnaire-Short Form (CTQ-SF), Perceived Scale (PSS). They also measures of socioeconomic status, personality, social desirability, negative affect, physical mental health complaints, sleep quality, executive function, doctor-diagnosed general problems autoimmune disorders. The exhibited excellent acceptability was 16 minutes 27 seconds, average. showed good concurrent validity relative to CTQ-SF PSS (r ≥ .377) discriminant validity, both without adjusting covariates. In addition, significantly predicted all outcomes assessed except function explained substantial variance above CTQ-SF, PSS, covariates assessed. Finally, reliability indices total lifetime stressor count severity outstanding (ricc .936 .953, respectively, M 34.86 days). Portuguese thus exhibits acceptability, strong predictive across variety outcomes, therefore conclude is practical, valid, reliable instrument researchers clinicians looking efficiently assess

Language: Английский

Citations

73
Mental Stress Assessment Using Ultra Short Term HRV Analysis Based on Non-Linear Method DOI Creative Commons
Seungjae Lee, Ho Bin Hwang, Seongryul Park

et al.

Biosensors, Journal Year: 2022, Volume and Issue: 12(7), P. 465 - 465

Published: June 27, 2022

Mental stress is on the rise as one of major health problems in modern society. It important to detect and manage mental prevent various diseases caused by maintain a healthy life. The purpose this paper present new heart rate variability (HRV) features based empirical mode decomposition acute through short-term HRV (5 min) ultra-short-term (under 5 analysis. signals were acquired from 74 young police officers using stressors, including Trier Social Stress Test horror movie viewing, total 26 features, proposed IMF energy general extracted. A support vector machine (SVM) classification model used classify non-stress states leave-one-subject-out cross-validation. accuracies analysis are 86.5% 90.5%, respectively. In results time lengths, we suggest optimal duration stress, which can be applied wearable devices or healthcare systems.

Language: Английский

Citations

38
Review of Stress Detection Methods Using Wearable Sensors DOI Creative Commons
Georgios V. Taskasaplidis,

Dimitris A. Fotiadis,

Panagiotis D. Bamidis

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 38219 - 38246

Published: Jan. 1, 2024

Stress is a significant factor that affects well-being and health. Factors trigger stress include work, social interactions, economic environmental factors. may cause lower labor productivity, physical mental health problems, malfunctions in all aspects of life. Psychosomatic can be improved if proper detection mechanisms are present daily life reduction methods occur. Wearable sensors currently used many commercial scientific applications non-destructive or annoying manner. These devices routines. In this paper, comprehensive review the latest literature developments presented through extensive holistic research on response, both at level autonomic nervous system (ANS) hypothalamic-pituitary-adrenal axis (HPA). This study focused exploitation various methods, technologies, data analysis systems to understand multifaceted Various stress-related factors along with biological signal measurements, secretions biomarkers primarily for detection. Furthermore, manner which body movement posture measurements related was investigated, together speech hand tremors. stress-detection technologies have been analyzed, existing applied highlighted. serves as reference guideline exploring area interest, identifying opportunities, offering ideas, options, suggestions optimized solutions regarding future research.

Language: Английский

Citations

13
Tell me more! Assessing interactions with social robots from speech DOI Creative Commons
Guy Laban, Jean-Noël George,

Val Morrison

et al.

Paladyn Journal of Behavioral Robotics, Journal Year: 2020, Volume and Issue: 12(1), P. 136 - 159

Published: Dec. 12, 2020

Abstract As social robots are increasingly introduced into health interventions, one potential area where they might prove valuable is in supporting people’s psychological through conversation. Given the importance of self-disclosure for health, this study assessed viability using eliciting rich disclosures that identify needs and emotional states human interaction partners. Three within-subject experiments were conducted with participants interacting another person, a humanoid robot, disembodied conversational agent (voice assistant). We performed number objective evaluations to these three agents via speech content voice analyses also probed participants’ subjective their agents. Our findings suggest overall disclose more humans than artificial agents, agents’ embodiment influences disclosure quantity quality, people generally aware differences personal studied here. Together, set stage further investigation underpinnings self-disclosures role as part mental physical interventions.

Language: Английский

Citations

60
10th Anniversary of the European Association for Predictive, Preventive and Personalised (3P) Medicine - EPMA World Congress Supplement 2020 DOI Creative Commons
Olga Golubnitschaja, Ondřej Topolčan, Radek Kučera

et al.

The EPMA Journal, Journal Year: 2020, Volume and Issue: 11(S1), P. 1 - 133

Published: Aug. 1, 2020

In 2019, the EPMA celebrated its 10th anniversary at 5th World Congress in Pilsen, Czech Republic. The history of International Professional Network dedicated to Predictive, Preventive and Personalised Medicine (PPPM / 3PM) is rich achievements. Facing coronavirus COVID-19 pandemic it getting evident globally that predictive approach, targeted prevention personalisation medical services optimal paradigm healthcare demonstrating high potential save lives benefit society as a whole. Supplement 2020 highlights advances 3P medicine.

Language: Английский

Citations

50
Human stress classification during public speaking using physiological signals DOI
Aamir Arsalan, Muhammad Majid

Computers in Biology and Medicine, Journal Year: 2021, Volume and Issue: 133, P. 104377 - 104377

Published: April 15, 2021

Language: Английский

Citations

47
Sensing behavior change in chronic pain: a scoping review of sensor technology for use in daily life DOI Creative Commons
Diego Vitali, Temitayo Olugbade, Christopher Eccleston

et al.

Pain, Journal Year: 2024, Volume and Issue: 165(6), P. 1348 - 1360

Published: Jan. 23, 2024

Technology offers possibilities for quantification of behaviors and physiological changes relevance to chronic pain, using wearable sensors devices suitable data collection in daily life contexts. We conducted a scoping review passive sensor technologies that sample psychological interest including social situations. Sixty articles met our criteria from the 2783 citations retrieved searching. Three-quarters recruited people were with mostly musculoskeletal, remainder acute or episodic pain; those pain had mean age 43 (few studies sampled adolescents children) 60% women. Thirty-seven performed laboratory clinical settings settings. Most used only 1 type technology, 76 types overall. The commonest was accelerometry (mainly contexts), followed by motion capture settings), smaller number collecting autonomic activity, vocal signals, brain activity. Subjective self-report provided "ground truth" mood, other variables, but often at different timescale automatically collected data, many reported weak relationships between technological relevant constructs, instance, fear movement muscle There relatively little discussion practical issues: frequency sampling, missing human reasons, users' experience, particularly when users did not receive any form. conclude some suggestions content process future this field.

Language: Английский

Citations

7
Mapping the ethical landscape of digital biomarkers: A scoping review DOI Creative Commons
Mattia Andreoletti,

Luana Haller,

Effy Vayena

et al.

PLOS Digital Health, Journal Year: 2024, Volume and Issue: 3(5), P. e0000519 - e0000519

Published: May 16, 2024

In the evolving landscape of digital medicine, biomarkers have emerged as a transformative source health data, positioning them an indispensable element for future discipline. This necessitates comprehensive exploration ethical complexities and challenges intrinsic to this cutting-edge technology. To address imperative, we conducted scoping review, seeking distill scientific literature exploring dimensions use biomarkers. By closely scrutinizing literature, review aims bring light underlying issues associated with development integration into medical practice.

Language: Английский

Citations

7
Unlocking stress and forecasting its consequences with digital technology DOI Creative Commons
Sarah Goodday, Stephen Friend

npj Digital Medicine, Journal Year: 2019, Volume and Issue: 2(1)

Published: July 31, 2019

Chronic stress is a major underlying origin of the top leading causes death, globally. Yet, mechanistic explanation association between and disease poorly understood. This stems from inability to adequately measure in its naturally occurring state extreme heterogeneity by inter intraindividual characteristics. The growth availability digital technologies involving wearable devices mobile phone apps afford opportunity dramatically improve measurement biological response real time. In parallel, advancement capabilities artificial intelligence (AI) machine learning could discern heterogeneous, multidimensional information individual signs stress, possibly inform how these forecast downstream consequences form end-organ damage. marriage tools enhance field research contributing impactful empowering interventions for individuals bridging knowledge practice, intervention real-world use. Here we discuss this potential, anticipated challenges, emerging opportunities.

Language: Английский

Citations

46
Application Experiences Using IoT Devices in Education DOI Creative Commons
Jan Francisti, Zoltán Balogh, Jaroslav Reichel

et al.

Applied Sciences, Journal Year: 2020, Volume and Issue: 10(20), P. 7286 - 7286

Published: Oct. 18, 2020

The Internet of Things (IoT) is becoming a regular part our lives. devices can be used in many sectors, such as education and the learning process. article describes possibilities using commonly available smart wristbands (watches) eye tracking technology, i.e., existing technical solutions methods that rely on application sensors while maintaining non-invasiveness. By comparing data from these devices, we observed how students’ attention affects their results. We looked for correlation between tracking, heart rate, student it all impacts outcomes. evaluate obtained order to determine whether there degree dependence concentration rate students.

Language: Английский

Citations

46