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Relevant bibliographies by topics / GSR biofeedback

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Academic literature on the topic 'GSR biofeedback'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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Journal articles on the topic "GSR biofeedback"

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Markiewicz, Renata, and Beata Dobrowolska. "Reinforcement of Self-Regulated Brain Activity in Schizophrenia Patients Undergoing Rehabilitation." BioMed Research International 2021 (March 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/8030485.

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The experiment was aimed to compare the effects of different forms of rehabilitation applied in patients with schizophrenia. Verification of the obtained results was based on the analysis of the level of cognitive and social functioning of the subjects. For this purpose, the following clinical tools were used: Positive and Negative Syndrome Scale (PANSS), Beck Cognitive Insight Scale (BCIS), Color Trial Test (CTT-1, CTT-2), d2 psychological tests, Acceptance of Illness Scale (AIS), Self-efficacy Scale (GSES), Quantitative Electroencephalogram Biofeedback (QEEG-BF), auditory event-related poten

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Markiewicz, Renata, and Beata Dobrowolska. "Cognitive and Social Rehabilitation in Schizophrenia—From Neurophysiology to Neuromodulation. Pilot Study." International Journal of Environmental Research and Public Health 17, no. 11 (2020): 4034. http://dx.doi.org/10.3390/ijerph17114034.

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The aim of this pilot study was to analyse the influence of Galvanic Skin Response (GSR) Biofeedback training in a group of 18 men with schizophrenia at the remission stage. The results were verified according to: Positive and Negative Syndrome Scale (PANSS), Acceptance of Illness Scale (AIS), Self-efficacy Scale (GSES), Beck Cognitive Insight Scale (BCIS) scales, Colour Trial Test (CTT-1, CTT-2), d2 psychological tests, Quantitative Electroencephalogram (QEEG) Biofeedback, auditory event-related potentials (ERPs), and serum levels of brain-derived neurotrophic factor (BDNF). The results were

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Uhlmann, Carmen, and Walter Fröscher. "Biofeedback as complementary treatment in patients with epilepsy – an underestimated therapeutic option? Review, results, discussion." Journal of Epileptology 24, no. 2 (2016): 173–80. http://dx.doi.org/10.1515/joepi-2016-0013.

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SummaryBackground.Biofeedback methods represent side effect free complementary options in the treatment of epilepsy. In this paper we review the current status of these methods in terms of clinical study results and their evaluation by systematic review papers. Possible mechanisms of action in biofeedback methods are discussed.Aim.To present the current status of biofeedback methods applied to patients with epilepsy.Material and Methods.With a literature search up to 10/2016 we screened publications containing the search terms “biofeedback”, “neurofeedback” or “neurotherapy” and “epilepsy” or

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Pop-Jordanova, Nada, and Jordan Pop-Jordanov. "Electrodermal Activity and Stress Assessment." PRILOZI 41, no. 2 (2020): 5–15. http://dx.doi.org/10.2478/prilozi-2020-0028.

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AbstractStress, as a kind of emotion, is inevitable in everyday life. In psychosomatic medicine stress represents a powerful link in the pathophysiological chain of disorder. Having evidence about the power of stress on the body, the interest in medicine was how to measure it in appropriate, fast way and with minimal cost. Electrodermal activity seems to be available for this purpose.The galvanic skin response (GSR) is an objective, transient indication of autonomic nervous system arousal in response to a stimulus. It refers to changes in sweat gland activity that are reflective of the intensi

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Markiewicz, Renata, and Beata Dobrowolska. "Initial Results of Tests Using GSR Biofeedback as a New Neurorehabilitation Technology Complementing Pharmacological Treatment of Patients with Schizophrenia." BioMed Research International 2021 (June 10, 2021): 1–12. http://dx.doi.org/10.1155/2021/5552937.

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Galvanic skin response (GSR) Biofeedback uses training to reduce tension and anxiety and improve concentration and self-regulation. The study was aimed to evaluate this method as a form of rehabilitation and quantify the outcomes achieved by patients undergoing training using this technique. Six schizophrenic patients were enrolled in the study and underwent training based on the relaxation training module (CENTER), concentration training module (BALANCE), and self-regulation training module (INSECTS). Training sessions were held twice a week for 6 weeks. From the total group of subjects invol

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Nagai, Y., J. Lumsdem, L. Goldstein, and P. Fenwick. "708 22HZ, 28HZ specific cortical activation during galvanic skin response (GSR) biofeedback." International Journal of Psychophysiology 30, no. 1-2 (1998): 268. http://dx.doi.org/10.1016/s0167-8760(98)90707-3.

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Rastogi, Rohit, Himanshu Verma, Yash Mishra, Mayank Gupta, and Devendra K. Chaturvedi. "Identifying Better?" International Journal of Applied Research on Public Health Management 5, no. 1 (2020): 14–31. http://dx.doi.org/10.4018/ijarphm.2020010102.

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Tension is one of the most common problem found in people nowadays. With problems, the stress level increases and headaches are the most common problem faced during stress. The common headache found is tension type headache (TTH). The present study aims at studying the effect on TTH of various biofeedback technique like EMG and GSR on various modes like audio and visual the experiment was conducted on 90 people out of which 78 remained until the end (46 females and 32 males) were randomly assigned groups like EMGa, EMGav, GSRa, GSRav and the control group. The control group was only given the

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Noraziah, A., Muhd Azrulnizam Suna Abdullah, Nurzety Aqtar, Mohammed Adam Ibrahim Fakhreldin, and Muhammad Nubli Abd Wahab. "GREENVEC GAME FOR SKIN CONDUCTIVITY LEVEL (SCL) BIOFEEDBACK PERFORMANCE SIMULATOR USING GALVANIC SKIN RESPONSE (GSR) SENSOR." International Journal of Computer Systems & Software Engineering 1, no. 1 (2015): 41–53. http://dx.doi.org/10.15282/ijsecs.1.2015.4.0004.

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Chauhan, Sumit, Vishwas Yadav, Pallavi Sharma, et al. "Statistical Analysis of EMG & GSR Biofeedback Efficacy On Different Modes for Chronic TTH on Various Indicators." International Journal of Advanced Intelligence Paradigms 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijaip.2019.10021825.

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Austin, Robert. "Discovering Neurotechnology with Tom Budzynski." Biofeedback 39, no. 4 (2011): 152–53. http://dx.doi.org/10.5298/1081-5937-39.4.06.

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This article summarizes projects and experiences the author shared with Thomas Budzynski over two decades of friendship and collaboration. Examples include a variety of sound and light stimulation systems, including Budzynski's use of such devices in a clinical context; his Hemifield project; and subliminal audio techniques. The author discusses Budzynski's role as director of research for SynchroMed, LLC, a small Seattle-based neurotechnology research and development company. His work there culminated in a two-university study of the effects of light and sound stimulation and GSR biofeedback

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Dissertations / Theses on the topic "GSR biofeedback"

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Nagai, YoÌ„ko. "Electrophysiological analysis of Galvanic Skin Response (GSR) biofeedback and its clinical application on epilepsy." Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271291.

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Kotwas, Iliana. "Contrôle volontaire des crises et régulation des émotions dans l'épilepsie temporale pharmacorésistante : l’exemple d’une thérapie par GSR biofeedback." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0249.

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Parmi les patients souffrant d'épilepsie, particulièrement du lobe temporal (ELT), 30% restent résistants aux médicaments malgré l'administration optimale des traitements pharmacologiques. Le caractère imprédictible des crises est l’un des aspects les plus invalidants de la maladie. De plus, les troubles dépressifs et anxieux sont des comorbidités psychiatriques fréquemment associées à l’épilepsie et impactent encore plus négativement la qualité de vie que les crises. Les approches par biofeedback, ont démontré leur efficacité dans le contrôle des crises. Une thérapie par biofeedback sur la co

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Books on the topic "GSR biofeedback"

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Alster, Jason Mark. A guide for GSR biofeedback techniques for the natural ADHD practitioner. Rainbow Cloud, 2006.

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Book chapters on the topic "GSR biofeedback"

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Rastogi, Rohit, D. K. Chaturvedi, Santosh Satya, et al. "An Optimized EMG and GSR Biofeedback Therapy for Chronic TTH on SF-36 Scores of Different MMBD Modes on Various Medical Symptoms." In Studies in Computational Intelligence. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8930-6_8.

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Rastogi, Rohit, and Devendra Kumar Chaturvedi. "IoT Applications to Cure TTH Using Different Biofeedback." In Biopsychosocial Perspectives and Practices for Addressing Communicable and Non-Communicable Diseases. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2139-7.ch010.

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The most common type of primitive headache is the tension type headache (TTH). The focus of complete research work was to compare the impression of EMG, GSR and EEG integrated biofeedback on stress due to headache and quality-of-life of the subjects under consideration. EMG biofeedback (BF) and galvanic skin resistance (GSR) are considered effective therapy for headaches. There are no such comparative effects of visual and auditory EMG biofeedback for headaches. Twenty subjects were subjected to EEG therapy. The variables for stress (pain) and SF-36(Quality of life) scores were recorded at starting point, 30 days and 90 days after the starting of GSR and EMG-BF therapy.

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Rastogi, Rohit, Devendra Kumar Chaturvedi, and Mayank Gupta. "Use of IoT and Different Biofeedback to Measure TTH." In Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2742-9.ch025.

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This chapter applied the random sampling in selection of the subjects suffering with headache, and care was taken that they ensure to fulfill the International Headache Society criteria. Subjects under consideration were assigned the two groups of GSR-integrated audio-visual feedback, GSR (audio-visual)- and EMG (audio-visual)-integrated feedback groups. In 10 sessions, the subjects experienced the GSR and EMG BF therapy for 15 minutes. Twenty subjects were subjected to EEG therapy. The variables for stress (pain) and SF-36 (quality of life) scores were recorded at starting point, 30 days, and 90 days after the starting of GSR and EMG-BF therapy. To reduce the anxiety and depression in day-to-day routine, the present research work is shown as evidence in favor of the mindful meditation. The physical, mental, and total scores increased over the time duration of SF-36 scores after 30- and 90-days recordings (p<0.05). Intergroup analysis has demonstrated the improvement. EMG-audio visual biofeedback group also showed highest improvement in SF-36 scores at first and third month follow up. EEG measures the Alpha waves for the subjects after meditation. GSR, EMG, and EEG-integrated auditory-visual biofeedback are efficient in solution of stress due to TTH with most advantage seen.

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Rastogi, Rohit, Devendra Kumar Chaturvedi, and Mayank Gupta. "Tension Type Headache." In Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2120-5.ch017.

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Development in the field of technology is growing with a fast pace, mainly the IoT (internet of things). It is an interface between machine-to-machine, machine-to-human, machine-to-infrastructure as well as machine-to-environment. Stress, especially TTH (tension type headache), is a serious problem in today's world. Now every person in this world is facing headache and stress-related problems in daily life. To measure the stress level, the authors have introduced the concept of EEG, EMG, and GSR biofeedback. In case of TTH, human is in a state in which one experiences pain like a physical weight or a tight band around one's head. TTH is different from migraine as it can be affected due to everyday activities. The most common type of primitive headache is tension type headache (TTH). The focus of the research work was to compare the impression of EMG-, GSR-, and EEG-integrated biofeedback on stress due to headache and quality of life of the subjects under consideration.

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Rastogi, Rohit, Devendra Kumar Chaturvedi, Mayank Gupta, and Parul Singhal. "Intelligent Mental Health Analyzer by Biofeedback." In Advances in Healthcare Information Systems and Administration. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1371-2.ch009.

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Many apps and analyzers based on machine learning have been designed to help and cure the stress issue. The chapter is based on an experimental research work that the authors performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In the research work, the correctness and accuracy have been studied and compared for two biofeedback devices named as electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes—audio, visual, and audio-visual—with the help of data set of tension type headache (TTH) patients. The authors have realized by their research work that these days people have lot of stress in their lives, so they planned to make an effort for reducing the stress level of people by their technical knowledge of computer science. In the chapter, they have a website that contains a closed set of questionnaires from SF-36, which have some weight associated with each question.

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Rastogi, Rohit, Devendra Kumar Chaturvedi, Mayank Gupta, Heena Sirohi, Muskan Gulati, and Pratyusha. "Analytical Observations Between Subjects' Medications Movement and Medication Scores Correlation Based on Their Gender and Age Using GSR Biofeedback." In Pattern Recognition Applications in Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1839-7.ch010.

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Increasing stress levels in people is creating higher tension levels that ultimately result in chronic headaches. To get the best result, the subjects are divided into two groups. One group will be introduced under EMG, and the other will be handled under GSR. The change in the behaviour of subject (i.e., the change in the stress level) is measured at the intervals of one month, three months, six months, and twelve months. The main aim of the research is to study the effects of tension type headache using biofeedback therapies on various modes such as audio modes, visual modes, and audio-visual modes. The groups were randomly allocated for galvanic skin resistance (GSR) therapies, and the other one was control group (the group that was not under any type of allopathic or other medications). Except for the control group, the groups were treated in a session for 20 minutes in isolated chambers. The results were recorded over a specific period of time.

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Rastogi, Rohit, Devendra Kumar Chaturvedi, and Sathiyamoorthi V. "Biofeedback-Based Mental Health Software and Its Statistical Analysis." In Advances in Data Mining and Database Management. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2566-1.ch008.

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Many apps and analyzers based on machine learning have been designed already to help and cure the stress issue, which is increasing. The project is based on an experimental research work that the authors have performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In the research work, the correctness and accuracy have been studied and compared for two biofeedback devices named as electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes, audio, visual and audio-visual, with the help of data set of tension type headache (TTH) patients. The authors have realized by their research work that these days people have lot of stress in their life so they planned to make an effort for reducing the stress level of people by their technical knowledge of computer science. In the project they have a website that contains a closed set of questionnaires from SF-36, which have some weight associated with each question.

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8

Rastogi, Rohit, Devendra Kumar Chaturvedi, and Mayank Gupta. "Mental Health Through Biofeedback Is Important to Analyze." In Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2742-9.ch020.

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Many apps and analyzers based on machine learning have been designed to help and cure the stress issue. This chapter is based on an experiment that the authors performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In the research work, the correctness and accuracy have been studied and compared for two biofeedback devices named as electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes: audio, visual and audio-visual with the help of data set of tension type headache (TTH) patients. The authors used some data visualization techniques that EMG (electromyography) in audio mode is best among all other modes, and in this experiment, they have used a data set of SF-36 and successfully clustered them into three clusters (i.e., low, medium, and high) using K-means algorithm. After clustering, they used classification algorithm to classify a user (depending upon the sum of all the weights of questions he had answered) into one of these three class. They have also implemented various algorithms for classifications and compared their accuracy out of which decision tree algorithm has given the best accuracy.

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Rastogi, Rohit, Devendra Kumar Chaturvedi, and Mayank Gupta. "Exhibiting App and Analysis for Biofeedback-Based Mental Health Analyzer." In Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2120-5.ch015.

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Abstract:

Many apps and analyzers based on machine learning have been designed already to help and cure the stress issue, which is increasing rapidly. The project is based on an experimental research work that the authors have performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In their research work, the correctness and accuracy have been studied and compared for two biofeedback devices, electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes—audio, visual, and audio-visual—with the help of data set of tension type headache (TTH) patients. The authors have realized by their research work that these days people have a lot of stress in their lives so they planned to make an effort for reducing the stress level of people by their technical knowledge of computer science. In their project, the authors have a website that contains a closed set of questionnaires, which have some weight associated with each question.

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10

Rastogi, Rohit, Devendra Kumar Chaturvedi, Mayank Gupta, and Parul Singhal. "Automated App for Mental Health Analysis." In Analyzing Future Applications of AI, Sensors, and Robotics in Society. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3499-1.ch007.

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Abstract:

Many apps and analyzers based on machine learning have been designed already to help and cure the stress issue, which is an epidemic. The project is based on an experimental research work that the authors have performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In their research work, the correctness and accuracy have been studied and compared for two biofeedback devices named as electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes—audio, visual, and audio-visual—with the help of data set of tension type headache (TTH) patients. They have realized by their research work that these days people have lot of stress in their life so they planned to make an effort for reducing the stress level of people by their technical knowledge of computer science. In their project, the authors have a website that contains a closed set of questionnaires from SF-36, which have some weight associated with each question.

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