Kansei’s Physiological Measurement and Its application (1)

2010 ◽  
pp. 303-318 ◽  
Author(s):  
Shusaku Nomura
Keyword(s):  
Numerical Simulation ◽  
Behavioral Medicine ◽  
Mental Stress ◽  
Stress Measurement ◽  
Mental States ◽  
Human Saliva ◽  
Transient Increase ◽  
Physiological Measurement ◽  
Biomarker Research

Recent behavioral medicine studies have revealed that various human secretory substances change according to mental states. These substances, the hormones and immune substances show transient increase against mental stress. Therefore it is frequently introduced as an objective index (biomarker) of mental stress. Especially the biomarker which is detectable by human saliva is expected to be a new and practical stress measurement as it can be sampled in less stressful and noninvasive manner unlike blood and urine. In this chapter, the biomarker research, its background, methodology, experiment, and numerical simulation approaches are introduced. Also in the end, it is stated as a possible approach towards a measurement of Kansei.

An Application of Rough Set Analysis toa Psycho-Physiological Study - Assessing the RelationBetween Psychological Scale and Immunological Biomarker

2009 ◽  
Vol 13 (4) ◽  
pp. 352-359
Author(s):  
Shusaku Nomura ◽  
◽  
Yasuo Kudo ◽  
Keyword(s):  
Rough Set ◽  
Linear Correlation ◽  
Mental Stress ◽  
Rough Set Theory ◽  
Physiological State ◽  
Mental States ◽  
Psychological State ◽  
Analysis Method ◽  
Psychological Scale ◽  
The Relationship

This study aims at an application of rough set theory to illustrate the relationship between human psychological and physiological states. Recent behavioral medicine studies have revealed that various human secretory substances change according to mental states. These substances, the hormones and immune substances, show temporal increase against mental stress. Thus, it is frequently introduced as biomarkers of mental stress. The relationship between these biomarkers and human chronic stresses or daily mental states was also suggested in the previous studies. However the results of these studies were sometimes inconsistent with each other. Some technical reasons were indicated for this discrepancy. Among that, we focused on the analysis technique investigating the relationship between human psychological state, i.e., scores of a psychological scale, and physiological state, i.e., level of the secretory biomarkers. In this paper, we introduced Rough Set analysis method instead of using a conventional linear correlation analysis method. In the experiment, the salivary secretory immunoglobulin A (IgA), which is a major stress biomarker, of 20 male students was assessed before and after a short-term stressful mental workload. Also, 65 items of psychological mood scale was assessed as a psychological index. The result showed that some items strongly related with the change in the IgA, while no significant linear correlation was obtained among them.

scholarly journals Salivary Alpha-Amylase as a Biomarker of Stress in Behavioral Medicine

2020 ◽  
Vol 27 (3) ◽  
pp. 337-342 ◽  
Author(s):  
Nida Ali ◽  
Urs M. Nater
Keyword(s):  
Behavioral Medicine ◽  
Stress Measurement ◽  
Physiological Stress ◽  
Alpha Amylase ◽  
Salivary Alpha Amylase ◽  
Targeted Interventions ◽  
Disease States ◽  
Biological Stress ◽  
Health And Disease ◽  
Methodological Considerations

AbstractIn recent years, research in behavioral medicine has become increasingly focused on understanding how chronic and acute exposure to stress impacts health outcomes. During stress, the body’s physiological stress systems are activated. These systems closely interact with the immune system and are, thus, importantly implicated in the onset and maintenance of disease states. While much of the research in behavioral medicine that has investigated the effects of stress on disease has focused on the role of the hypothalamic-pituitary-adrenal axis and its downstream biomarker, cortisol, it is evident that the autonomic nervous system (ANS) also plays a crucial role in both the biological stress process and the manifestation and maintenance of stress-related symptoms. In recent years salivary alpha-amylase (sAA) has emerged as a valid and reliable marker of ANS activity in stress research and is therefore an important biomarker to consider in behavioral medicine. In this commentary, we will highlight research relevant for behavioral medicine that has utilized sAA measurements, both basally, and in response to stress, to examine ANS function in clinical populations. We will additionally summarize findings from studies that have examined the effects of various targeted interventions on changes in sAA levels. Through this, our aim is to present evidence that sAA can serve as a feasible biomarker of ANS (dys)function in health and disease. To this end, we will also highlight important methodological considerations for readers to keep in mind when including sAA assessments in their own studies. The overarching goal of this brief commentary is to highlight how a multidimensional approach toward physiological stress measurement can allow researchers to develop a better understanding of physical health and disease states.

Towards Ambulatory Mental Stress Measurement from Physiological Parameters

2013 ◽  
Author(s):  
Jacqueline Wijsman ◽  
Ruud Vullers ◽  
Salvatore Polito ◽  
Carlos Agell ◽  
Julien Penders ◽  
...  
Keyword(s):  
Mental Stress ◽  
Stress Measurement ◽  
Physiological Parameters

scholarly journals Investigating the Physiological Correlates of Daily Well-being: A PERMA Model-Based Study

2020 ◽  
Vol 13 (1) ◽  
pp. 169-180
Author(s):  
Xue Feng ◽  
Xuefei Lu ◽  
Zhuoran Li ◽  
Mi Zhang ◽  
Jiawei Li ◽  
...  
Keyword(s):  
Binary Classification ◽  
Well Being ◽  
Mental States ◽  
Physiological Data ◽  
Mental Load ◽  
Activity Data ◽  
Physiological Basis ◽  
Physiological Measurement ◽  
Skin Responses ◽  
Galvanic Skin Responses

Background: For decades, psychologists have studied the well-being and its importance in human prosperity. Objective: In the present study, a mobile sensing approach was employed to explore the physiological correlates of daily well-being experiences. Methods: 19 participants were recruited for a 30-day continuous physiological measurement using a smartwatch that collected their heart rates, galvanic skin responses, skin temperatures, and walking steps. They also reported their daily well-being experiences every day, on the five well-being dimensions of the well-established PERMA (Positive emotion, Engagement, Relationship, Meaning, Accomplishment) model. The daily activity data were categorized into four mental states: asleep, relaxed, high mental load, and high physical load. Results: 344 valid samples of the participants’ daily physiological data were obtained from the 19 participants. Using the daily physiological signals of these four states as features, both stepwise regression analyses and binary classification analyses revealed that the five well-being experiences were significantly predicted, with regression r-square values ranging from 0.052 to 0.157 and classification accuracies ranging from 55.8% to 61.3%. Conclusion: The findings provide evidence for the physiological basis of PERMA-based well-being.

Factors of mental stress in a situation of assessing knowledge

2020 ◽  
pp. 56-63
Author(s):  
Elena Menzul ◽  
Natalia Ryazantseva ◽  
Danil Fomichev
Keyword(s):  
High School ◽  
High School Students ◽  
Large Volume ◽  
Teaching Methods ◽  
Mental Stress ◽  
Mental States ◽  
Educational Process ◽  
School Students ◽  
Mental Strain ◽  
Level Of Motivation

The educational space of the school causes a complex of non-uniform problems, one of which is the presence of destructive mental states in students in the educational process. Schooling requires students to have a significant intellectual and emotional mental strain, reaching to the limits of opportunity during control jobs, credits and exams. The reasons for destructive mental states arising in the educational process, experts see the mismatch of the level of requirements of the pedagogical process with the level of cognitive capabilities of students, authoritarian position of the teacher, large volume of material and lack of time for its study, reduction of the level of motivation to study due to dissatisfaction with teaching methods, etc. That is why, in our view, the study of the influence of personal features of high school students on nervous-mental tension is very relevant.

Numerical Modelling of Repair Welding Using a Temper Bead Process: Application to Dissimilar Metal Welds

2011 ◽  
Author(s):  
Florence Gommez ◽  
Vincent Robin ◽  
Denis Pont ◽  
Stephan Courtin
Keyword(s):  
Numerical Simulation ◽  
Residual Stress ◽  
Residual Stresses ◽  
Heat Affected Zone ◽  
Stress Measurement ◽  
Hole Drilling ◽  
Narrow Gap ◽  
Viscous Effects ◽  
Pressurized Water ◽  
Dissimilar Metal

For nuclear reactor applications, AREVA NP has to perform junctions between ferritic low alloy steel heavy section components and austenitic stainless steel piping systems. For Gas Tungsten Arc Welding (GTAW) of dissimilar metal weld (DMW) narrow gap, AREVA NP has developed special manufacturing procedures guaranteeing high quality standards and resistance in service. Since a decade, AREVA NP is developing the numerical simulation of welding to have a better understanding of involved physical phenomena and to predict residual stresses. In spite of the large thickness of Pressurized Water Reactor (PWR) components, the distortion issue may also be important. Narrow gap welding requires indeed a close control of the groove width. This paper presents numerical simulations performed by AREVA NP on 14″ narrow gap DMW mock-ups as part of a research project carried out internally. The simulations focus on the predictions of microstructure and residual stress distribution. The analysis simulates the main steps of the mock-up manufacturing procedure. Multi pass welding simulation reproduces the deposit of each bead by thermo-metallurgical and mechanical calculations. A special attention has been paid on the buttering of the ferritic side. Generally a post weld heat treatment (PWHT) is carried out after the buttering of the ferritic side in order to relieve residual stresses. For some repair operations, a PWHT is not feasible. Thus a temper bead process can be used. During this process, a large part of the previous heat affected zone is tempered to guarantee a limited hardness and to reduce the risk of cold cracking. The results in terms of microstructure and stress obtained with the two techniques are compared. With the temper bead process, the final level of hoop stresses in the heat affected zone (HAZ) of the buttering remains significant as stresses are not relieved by viscous effects implied during PWHT. Nevertheless the temper bead process has a positive effect on the material hardness as the proportion of tempered phase is higher. One of the objectives of this task is to compare the numerical results with measurements. This comparison is not only a validation of numerical simulation of welding but also a way to investigate the relevance of residual stress measurement by Deep Hole Drilling (DHD). Calculated stresses are globally in good agreement with measurements made by DHD. A comparison with axial shrinkage is also made for validation of the modelling methodology.

Application of the cos α Method to Area Detector Type Neutron Stress Measurement

2006 ◽  
Vol 524-525 ◽  
pp. 247-252 ◽  
Author(s):  
Toshihiko Sasaki
Keyword(s):  
Numerical Simulation ◽  
Simulation Study ◽  
Present Method ◽  
Previous Experiment ◽  
Stress Measurement ◽  
Area Detector ◽  
Detector Type

In order to study the method of the neutron stress measurement using the cosα method, a numerical simulation study was performed and the result was compared with author's former experiment. The results of the simulation study agreed with those obtained in the previous experiment, which suggests the validity of the present method for neutron stress measurement.

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