Relevant bibliographies by topics / Galvanic skin response test

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Academic literature on the topic 'Galvanic skin response test'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Galvanic skin response test"

1

Tuzemen, Gokhan, Oguz Basut, Omer Afsin Ozmen, and Hamdi Hakan Coskun. "Galvanic Skin Response Test." Journal of Craniofacial Surgery 24, no. 4 (2013): 1280–84. http://dx.doi.org/10.1097/scs.0b013e318286038d.

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2

Dolce, G., F. Riganello, M. Quintieri, A. Candelieri, and D. Conforti. "Personal Interaction in the Vegetative State." Journal of Psychophysiology 22, no. 3 (2008): 150–56. http://dx.doi.org/10.1027/0269-8803.22.3.150.

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Background and purpose: Brain processing at varying levels of functional complexity and emotional reactions to relatives are anecdotally reported by the caregivers of patients in a vegetative state. In this study, computer-assisted machine-learning procedures were applied to identify heart rate variability changes or galvanic skin responses to a relative’s presence. Methods: The skin conductance (galvanic skin response) and heart beats were continuously recorded in 12 patients in a vegetative state, at rest (baseline) and while approached by a relative (usually the mother; test condition) or by a nonfamiliar person (control condition). The cardiotachogram (the series of consecutive intervals between heart beats) was analyzed in the time and frequency domains by computing the parametric and nonparametric frequency spectra. A machine-learning algorithm was applied to sort out the significant spectral parameter(s). For all patients, each condition (baseline, test, control) was characterized by the values of its spectral parameters, and the association between spectral parameters values and experimental condition was tested (WEKA machine-learning software). Results and comments: A galvanic skin response was obtained in two patients. The machine-learning procedure independently selected the nu_LF spectral parameter and attributed each nu_LF measure to any of the three experimental conditions. 69.4% of attributions were correct (baseline: 58%; test condition: 75%; control. 75%). In seven patients, attribution changed when the subject was approached by the test person; specifically, sequential shifts from baseline to test condition (“the Mom effect”) to control condition were identified in four patients (30.0%); the change from test to control was attributed correctly in seven patients (58%). The observation of heart rate changes tentatively attributable to emotional reaction in a vegetative state suggest residual rudimentary personal interaction, consistent with functioning limbic and paralimbic systems after massive brain damage. Machine-learning proved applicable to sort significant measure(s) out of large samples and to control for statistical alpha inflation.
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Shivakumar, G., and P. A. Vijaya. "Analysis of Human Emotions Using Galvanic Skin Response and Finger Tip Temperature." International Journal of Synthetic Emotions 2, no. 1 (2011): 15–25. http://dx.doi.org/10.4018/jse.2011010102.

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Emotion is the excited mental state of a person caused by internal and external factors. In this work, a person’s physiological parameters are measured to decide emotional status. A generalized system measures changes occurring in the body of a subject, such as heart rate, blood pressure, respiratory rate, electro-dermal (Galvanic skin resistance) activity, and arm and leg motions. These measurements are then compared with the normal levels of the subject. The present work monitors the physiological parameters by connecting sensors at specific points on a test body. Two physiological parameters are considered: galvanic skin response (GSR) and finger tip temperature (FTT). The heart rate is predominant in deciding the emotion of a person. This system, in conjunction with a certified examiner, is used to analyze a subject’s stress. A system is constructed that measures physiological parameters along with signal conditioning units. These measurements are transmitted to a LabVIEW add-on card for further data processing and analysis. LabVIEW is a graphical programming language that includes all tools necessary for data acquisition, data analysis, and presentation of results. The results obtained are realistic and provide a measure of accuracy.
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Sanchez-Comas, Andres, Kåre Synnes, Diego Molina-Estren, Alexander Troncoso-Palacio, and Zhoe Comas-González. "Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli." Sensors 21, no. 12 (2021): 4210. http://dx.doi.org/10.3390/s21124210.

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The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a signal for stress-related studies. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted at the Human Health Activity Laboratory (H2AL) with 17 healthy subjects to determine the variability in the detection of changes in the galvanic skin response among a test group with heterogeneous respondents facing pleasant and unpleasant stimuli, correlating the GSR biosignals measured from different body sites. We experimented with the right and left wrist, left fingers, the inner side of the right foot using Shimmer3GSR and Empatica E4 sensors. The results indicated the most promising homogeneous places for measuring the GSR, namely, the left fingers and right foot. The results also suggested that due to a significantly strong correlation among the inner side of the right foot and the left fingers, as well as the moderate correlations with the right and left wrists, the foot may be a suitable place to homogenously measure a GSR signal in a test group. We also discuss some possible causes of weak and negative correlations from anomalies detected in the raw data possibly related to the sensors or the test group, which may be considered to develop robust emotion detection systems based on GRS biosignals.
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5

Kumar, Mahendra, Priyamvada Srivastava, Manoj K. Sahu, and Saparya Tripathi. "Effect of computerized biofeedback relaxation on stress related physiological parameters." International Journal Of Community Medicine And Public Health 8, no. 6 (2021): 2977. http://dx.doi.org/10.18203/2394-6040.ijcmph20212003.

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Background: Mental health diseases such as insomnia, anxiety, stress and depression all have a close relationship with the autonomic nervous system. The physiological parameters of autonomic activity viz. galvanic skin resistance, electromyography, respiration and pulse rate can be regulated with the help of computerized biofeedback relaxation training. The main objective of this study was to see the effect of computerized biofeedback relaxation training on psychophysiological parameters of autonomic activity.Methods: In the present study 40 high stress post graduate students were selected. All participants were randomly divided into two group i.e. computerized biofeedback relaxation training (group-1) and placebo group (group-2). Forehead muscle tension, respiration rate, pulse rate and galvanic skin resistance were assessed, and inventories measuring stress were administered pre-randomization. Descriptive, Paired sample ‘t’ test, F-test and Mann-Whitney U test were used to analyze the data with the help of SPSS 16 version.Results: Biofeedback group reported a significant change in muscle tension (p=0.27), respiration rate (p=0.01) and galvanic skin response (p=0.35) after relaxation but at the same time control group reported moderate increase in muscle tension. Additionally, the computerized biofeedback group was able to maintain the stress level while the control group had a significant increase in the stress level over the 10 days of relaxation training.Conclusions: Biofeedback relaxation useful alternative therapy for management of stress and emotional disturbance in graduate students. During a stressful period this may also be helpful to promote overall psychological health.
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6

Demirci, Ugur, Oguz Basut, Behzat Noyan, et al. "The Efficiacy of Sternocleidomastoid Muscle Flap on Frey’s Syndrome via a Novel Test: Galvanic Skin Response." Indian Journal of Otolaryngology and Head & Neck Surgery 66, S1 (2012): 291–98. http://dx.doi.org/10.1007/s12070-012-0492-y.

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7

Konovalov, V. F., and I. S. Serikov. "Characteristics of the galvanic skin response and electrocardiogram in active and passive subjects under test conditions." Human Physiology 32, no. 5 (2006): 578–83. http://dx.doi.org/10.1134/s0362119706050124.

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8

Dogan, Daghan, Seta Bogosyan, and Tankut Acarman. "Evaluation of driver stress level with survey, galvanic skin response sensor data, and force-sensing resistor data." Advances in Mechanical Engineering 11, no. 12 (2019): 168781401989155. http://dx.doi.org/10.1177/1687814019891555.

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Thousands of lives are lost in traffic accidents every year, and most traffic accidents are caused by driver errors. Causes and impairments such as fatigue, inattentiveness, alcohol usage, stress, and drugs are the main factors of these accidents. When a driver is subject to changing and complicated driving tasks in traffic, he or she should be able to assure driving authority to prevent potential hazards and accidents. In this context, the purpose of this study is to determine the stress level of the driver when driving in urban traffic in such situations requiring delegation of driving authority. Thus, the work combines stress questionnaire and galvanic skin response sensor to validate results and fuses with a force-sensing resistor. In this study, a prototype electric vehicle is equipped with sensors providing various drivers’ data including the responses of a force-sensing resistor sensor while galvanic skin is being collected on a specified route. At the end of the trip, the stress level of the drivers is determined by the collected data. Results indicate that the galvanic skin sensor stress results are consistent with the results of the survey with an average accuracy of 87.5%. The force-sensing resistor sensor is only used to determine gender stress. And the force-sensing resistor sensor gender-stress results are consistent with results of the survey with an accuracy of 100%. These results are used to validate the results of post-driving stress survey evaluated by SPSS 23.0 windows statistics software. Data analysis is particularly focused on demographic properties of participators, factor analysis, reliability tests, correlation, T-test, and one-way analysis of variance.
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9

Sepehri, Shiva, Mohsen Aliabadi, Rostam Golmohammadi, and Mohammad Babamiri. "Human cognitive functions and psycho-physiological responses under low thermal conditions in a simulated office environment." Work 69, no. 1 (2021): 197–207. http://dx.doi.org/10.3233/wor-213469.

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BACKGROUND: In office environments, thermal comfort is one of the most significant factor affecting employees’ performance. OBJECTIVE: This study aimed to determine the effects of exposure to low air temperatures on human cognitive performance, physiological responses, and thermal perceptions during mental work. METHODS: Twenty-four volunteers with an age range of 18–30 years participated in this study. The subjects were exposed to four different air temperatures (10, 14, 18, and 22°C) in a climate chamber based on a within-subject design. The n-back, CPT, and PVT tests were employed to evaluate some basic aspects of cognitive performance. Body physiological responses and the subjective thermal comfort were also measured. RESULTS: When the thermal condition deviated from relatively neutral temperature, the subjects’ cognitive responses significantly disturbed (P < 0.05), such that the response accuracy was more affected by reduction of air temperature. The blood pressures and heart rate, galvanic skin response, and respiration rate increased as the air temperature decreased (P < 0.05), such that the galvanic skin response as a stress indicator was more affected. In the test configurations, as a result of decrease in air temperature of 1°C, the finger and body skin temperatures reduced to 0.74°C and 0.25°C, respectively. CONCLUSIONS: The findings confirmed that low thermal condition can considerably affect cognitive performance and physiological responses during some office work tasks. The subjects’ thermal comfort votes proposed that air temperature lower than 14 °C can be intolerable for employees during routine mental work. It is suggested that personalized conditioning systems should be used to provide individual thermal comfort in moderate cold air conditions.
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10

Schell, Dennis, and Carol Seefeldt. "Development of a Death Anxiety Scale for Children." OMEGA - Journal of Death and Dying 23, no. 3 (1991): 227–34. http://dx.doi.org/10.2190/nyj6-5q3q-mh4m-7787.

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The purpose of this study was to develop a valid, reliable, and efficient instrument that could be used to explore children's responses to death and dying. A rating scale consisting of neutral and anxiety producing words was constructed; scale construction consisted of a number of steps. Test/retest reliability of the scale was assessed as .87 for death words and .79 for neutral words using Cronbach's alpha. Validity was established by reading the words to children between the ages of five and twelve and recording galvanic skin response, response time, and pulse rate. Children responded with greater skin resistance to death words, than to the neural words ( t(154) = −1.93, p < .06) leading to the conclusion that the Death Anxiety Scale for Children (DASC) was a valid, reliable, and efficient measure of children's death anxiety.
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