Development of Stress Management System for Prevention of a Mental Disease using Smart Finger Plethysmogram Measurement

Author(s):  
Hidehiko Hayashi ◽  
Akinori Minazuki

In this modern society, with its multitude of stressors that people encounter on a daily basis, a characteristic of mental disorders is that there is a risk of developing them at the unconscious level, and even if the patient were to detect the condition, they are difficult to treat. Furthermore, while there are tests that evaluate the level of stress, these tests still have many elements. Therefore, it is extremely important to be able to objectively assess ones stress levels, as well as to raise awareness of and pay attention to internal signals in order to control the level of risk, to create a mechanism which provides medical help. Thus, this study aims to visualize the internal signals through the heart rate which is affected by stress, develop a system to provide assistance in returning stress to normal levels, and assisting in helping patients manage their own risk levels.

Author(s):  
Hidehiko Hayashi ◽  
Akinori Minazuki

In recent years, there has been a significant increase in the number of patients suffering from mood disorders in Japan, reaching 1.041 million in 2008. In 2014, the number of patients reached 1.116 million, the highest number recorded in the past. In modern society with the fourth industrial revolution, with its multitude of stressors that we encounter on a daily life, a characteristic of mental disorders is that there is a risk to increase them at the unconscious level, and even if the patient were to detect the condition, they are difficult to treat. Therefore, in everyday life, it is desirable to always measure the stress and detect the early signature before they get worse. Thus, this study aims to develop stress coping support system using smart finger plethysmogram measurement, visualizing the internal signals through the heart rate which is affected by stress.


2019 ◽  
Vol 12 (1) ◽  
pp. 423-429
Author(s):  
Arum Pratiwi ◽  
Sukardi Sukardi ◽  
Arina Maliya ◽  
Aris Sudiyanto ◽  
A. Muhlisin ◽  
...  

A significant increase in the number of mental disorders has been a phenomenon in the world, including Indonesia. It may indicate by the increasing number of the inpatients of mental hospitals. The study aims to determine the effect of the combination of psychosocial therapy and vitamin C on the stress and immunity level of patients with mental disorders. This study applied pre-experimental design on three groups in which each group consists of seven respondents with an assumption that 20% will be lost of follow up. The sampling technique is purposive sampling. The criteria of the respondents include patients with schizophrenia, adults and administered with the same antipsychotic medication. The intervention includes the 500 mg of vitamin C and relaxation technique for four weeks on a daily basis. The stress levels and immunity of the patients are measured at the end of each month. One-way ANOVA is employed as the data analysis technique. The results of analysis in stress levels and immune responses between the three groups after the intervention of Vitamin C and relaxation techniques showed a mean difference in each group. The F value of 1.534 and an associated p value of 0.234 for stress levels, and f value of 0.790 with p value of 0.469 statistically indicate the insignificant difference between the three groups. Meanwhile, during the interview as an assessment of stress levels, the second and third intervention groups were more cooperative compared to the first group. Respondents were more cooperative during mental status examination after the end of the second and third weeks, and showed an improvement in CD4 immunity (cluster of differentiation 4).


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A255-A256
Author(s):  
Veronica Hire ◽  
Casey Thurmon ◽  
Hope Snyder ◽  
Ryan Harra ◽  
Jamie Walker ◽  
...  

Abstract Introduction Sleep modulates a number of psychological and cognitive processes, such as emotion regulation, executive control, and coping with stress. It is therefore not surprising that insufficient sleep quality or quantity are associated with greater self-reported stress levels. The COVID-19 pandemic has led to a particularly stressful and unprecedented time in history. While stress has been undoubtedly high during the past year, it’s less clear to what extent sleep has affected people’s perceived stress on a daily basis. The aim of this research was to estimate whether daily variations in sleep quality and duration were associated with general stress and/or stress related to COVID-19. Methods The study used a nationally representative sample to assess daily variations in sleep and stress for a period of two weeks during the COVID-19 pandemic. Morning assessments were conducted using online sleep diaries. These diaries were used to estimate sleep duration (in minutes) and sleep quality (subjective rating on a 5-point Likert scale). Evening assessments were also completed online and prompted participants to rate (0 to 100) their current “general” stress level, as well as their current anxiety in relation to COVID-19. Separate mixed effects models were conducted with days (Level 1) nested within participants (Level 2). Stress variables were lagged by a day to estimate the association between sleep (AM assessment) and stress (PM assessment). TST and SQ were entered as fixed effects and intercepts were allowed to vary randomly. Results 4,048 participants (Mage = 46.3 years; 78% women) were included as part of the analyses. The results supported that lower self-reported sleep quality predicted greater general stress levels (b = -1.43, p < 0.001). Lower self-reported sleep quality also predicted greater COVID-19 related anxiety (b = -0.543, p < 0.001). In contrast, sleep duration was not significantly related to general stress or COVID-19 anxiety after controlling for sleep quality. Conclusion The present data supports that daily variations in sleep quality are related to a person’s overall stress levels and COVID-19 anxiety. These findings may have implications for the role of good sleep in mitigating the increases in stress that have resulted from the COVID-19 pandemic. Support (if any) Vargas: K23HL141581


2012 ◽  
Author(s):  
Yutaka Hata ◽  
Seigo Kanazawa ◽  
Maki Endo ◽  
Naoki Tsuchiya ◽  
Hiroshi Nakajima

Author(s):  
Thokozani Ian Nzimakwe

Cybersecurity is the practice of making the networks that constitute cyber space secure against intrusions. The aim is to maintain the confidentiality, the availability and integrity of information, by detecting interferences. Traditionally, cybersecurity has focused on preventing intrusions and monitoring ports. The evolving threat landscape, however, calls for a more dynamic approach. It is increasingly clear that total cybersecurity is impossible, unless government develops a cyber-security strategy. The aim of this chapter is to discuss government's dynamic approach to addressing challenges of cybersecurity. The chapter looks at the co-ordination of cyber-security activities so as to have a coordinated approach to cyber-crime. This chapter also highlights the idea of protecting sensitive data for the public good. It is generally accepted that technology has become indispensable in modern society. Government's cybersecurity presents a unique challenge simply because of the volume of threats that agencies working for government face on a daily basis.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Estelle Blons ◽  
Laurent M. Arsac ◽  
Pierre Gilfriche ◽  
Heather McLeod ◽  
Veronique Lespinet-Najib ◽  
...  

AbstractMany people experience mild stress in modern society which raises the need for an improved understanding of psychophysiological responses to stressors. Heart rate variability (HRV) may be associated with a flexible network of intricate neural structures which are dynamically organized to cope with diverse challenges. HRV was obtained in thirty-three healthy participants performing a cognitive task both with and without added stressors. Markers of neural autonomic control and neurovisceral complexity (entropy) were computed from HRV time series. Based on individual anxiety responses to the experimental stressors, two subgroups were identified: anxiety responders and non-responders. While both vagal and entropy markers rose during the cognitive task alone in both subgroups, only entropy decreased when stressors were added and exclusively in anxiety responders. We conclude that entropy may be a promising marker of cognitive tasks and acute mild stress. It brings out a new central question: why is entropy the only marker affected by mild stress? Based on the neurovisceral integration model, we hypothesized that neurophysiological complexity may be altered by mild stress, which is reflected in entropy of the cardiac output signal. The putative role of the amygdala during mild stress, in modulating the complexity of a coordinated neural network linking brain to heart, is discussed.


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