scholarly journals Allergy and high trait anxiety are related to increases in heart rate variability: results of naturalistic long-term design study

2018 ◽  
Vol 50 (01) ◽  
pp. 19
Author(s):  
J. Rajcani ◽  
P. Solarikova ◽  
I. Brezina
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Trait Anxiety ◽  
Design Study ◽  
High Trait ◽  
High Trait Anxiety

scholarly journals A mouse model of high trait anxiety shows reduced heart rate variability that can be reversed by anxiolytic drug treatment

2011 ◽  
Vol 14 (10) ◽  
pp. 1341-1355 ◽  
Author(s):  
Stefano Gaburro ◽  
Oliver Stiedl ◽  
Pietro Giusti ◽  
Simone B. Sartori ◽  
Rainer Landgraf ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mouse Model ◽  
Drug Treatment ◽  
Trait Anxiety ◽  
Anxiolytic Drug ◽  
High Trait ◽  
High Trait Anxiety

scholarly journals A machine learning approach to identifying objective biomarkers of anxiety and stress

2019 ◽  
Author(s):  
Arjun Ramakrishnan ◽  
Adam Pardes ◽  
William Lynch ◽  
Christopher Molaro ◽  
Michael Louis Platt
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Trait Anxiety ◽  
Video Game ◽  
Social Stress ◽  
Internal State ◽  
Self Report ◽  
Support Vector ◽  
High Trait ◽  
High Trait Anxiety

AbstractAnxiety and stress-related disorders are highly prevalent and debilitating conditions that impose an enormous burden on society. Sensitive measurements that can enable early diagnosis could mitigate suffering and potentially prevent onset of these conditions. Self-reports, however, are intrusive and vulnerable to biases that can conceal the true internal state. Physiological responses, on the other hand, manifest spontaneously and can be monitored continuously, providing potential objective biomarkers for anxiety and stress. Recent studies have shown that algorithms trained on physiological measurements can predict stress states with high accuracy. Whether these predictive algorithms generalize to untested situations and participants, however, remains unclear. Further, whether biomarkers of momentary stress indicate trait anxiety – a vulnerability foreshadowing development of anxiety and mood disorders – remains unknown. To address these gaps, we monitored skin conductance, heart rate, heart rate variability and EEG in 39 participants experiencing physical and social stress and compared these measures to non-stressful periods of talking, rest, and playing a simple video game. Self-report measures were obtained periodically throughout the experiment. A support vector machine trained on physiological measurements identified stress conditions with ~96% accuracy. A decision tree that optimally combined physiological and self-report measures identified individuals with high trait anxiety with ~84% accuracy. Individuals with high trait anxiety also displayed high baseline state anxiety but a muted physiological response to acute stressors. Overall, these results demonstrate the potential for using machine learning tools to identify objective biomarkers useful for diagnosing and monitoring mental health conditions like anxiety and depression.

Long Term Effects of Low Frequency (10 Hz) Vagus Nerve Stimulation on EEG and Heart Rate Variability in Crohn's Disease: A Case Report

2014 ◽  
Vol 7 (6) ◽  
pp. 914-916 ◽  
Author(s):  
Didier Clarençon ◽  
Sonia Pellissier ◽  
Valérie Sinniger ◽  
Astrid Kibleur ◽  
Dominique Hoffman ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Crohn’S Disease ◽  
Case Report ◽  
Vagus Nerve ◽  
Nerve Stimulation ◽  
Vagus Nerve Stimulation ◽  
Low Frequency ◽  
Long Term Effects

Short- and long-term effects of cigarette smoking on heart rate variability

1990 ◽  
Vol 65 (1) ◽  
pp. 84-88 ◽  
Author(s):  
Junichiro Hayano ◽  
Masami Yamada ◽  
Yusaku Sakakibara ◽  
Takao Fujinami ◽  
Kiyoko Yokoyama ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cigarette Smoking ◽  
Long Term Effects ◽  
Short And Long Term
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