Galvanic skin response during pain pressure threshold tests
Jakub Tytuła
a:1:{s:5:"en_US";s:42:"University of Warmia and Mazury in Olsztyn";}Abstract
This study aims to see the correlation between skin resistance and pain during pain pressure threshold tests. A Galvanic Skin Resistance sensor is used to measure the patient’s skin resistance. Two electrodes are placed on two adjacent fingers. A blunt tipped tool is pressed into the patients median nerve, located between the index finger and thumb. This area is known to usually be tender and with little force can inflict noticeable pain. This ensures no long term physical damage to the patients tissue. Sixty tests were made in total on the test subject, the author. On each test there are two noticeable dips in skin resistance. One, when the tool first contacts the patients skin, and another when pain is actually felt. Graphs depicting the direct correlation between force and skin resistance are made to visualize at what force the patient had the lowest skin resistance.
Keywords:
pain response, skin sensors, EDA, polygraphReferences
Barański R., Galewski M., Nitkiewicz S. 2019. The study of Arduino Uno feasibility for DAQ
Crossref
Google Scholar
purposes. Diagnostyka, 20(2): 33-48. Google Scholar
Can Y.S., Arnrich B., Ersoy C. 2019. Stress detection in daily life scenarios using smart phones
Crossref
Google Scholar
and wearable sensors: A survey, Journal of Biomedical Informatics, 92: 103139. https://doi. Google Scholar
org/10.1016/j.jbi.2019.103139 Google Scholar
Cook L.G., Mitschow L.C. 2019. Beyond the polygraph: deception detection and the autonomic Google Scholar
nervous system. Fed Pract. Federal Practitioner, 36(7): 316-321. PMCID: PMC6654171. Google Scholar
GERŠAK G. 2020. Electrodermal activity – a beginner’s guide. Elektrotehniski Vestnik/ Google Scholar
Electrotechnical Review, 87(4): 175-182. Google Scholar
Kamińska A., Dalewski B., Sobolewska E. 2020. The usefulness of the pressure algometer in the Google Scholar
diagnosis and treatment of orofacial pain patients: A systematic review. Occupational Therapy Google Scholar
International, 2020: 5168457. https://doi.org/10.1155/2020/5168457
Crossref
Google Scholar
Kim H.G., Cheon E.J., Bai D.S., Lee Y.H., Koo B.H. 2018. Stress and heart rate variability: Google Scholar
A meta-analysis and review of the literatur. Psychiatry Investigation, 15(3): 235-245. https:// Google Scholar
doi.org/10.30773/pi.2017.08.17 Google Scholar
Lestari G.R., Abuzairi T. 2020. Design of portable galvanic skin response sensor for pain sensor. Google Scholar
International Conference on Smart Technology and Applications (ICoSTA), Surabaya, Indonesia, Google Scholar
p. 1-5. https://doi.org/10.1109/ICoSTA48221.2020.1570614094
Crossref
Google Scholar
Li S., Sung B., Lin Y., Mitas O. 2022. Electrodermal activity measure: A methodological review. Google Scholar
Annals of Tourism Research, 96: 103460. https://doi.org/10.1016/j.annals.2022.103460
Crossref
Google Scholar
Markiewicz R., Markiewicz-Gospodarek A., Dobrowolska B. 2022. Galvanic skin response Google Scholar
features in psychiatry and mental disorders: A narrative review. International Journal Google Scholar
of Environmental Research and Public Health, 19(20): 13428. https://doi.org/10.3390/ Google Scholar
ijerph192013428 Google Scholar
Posada-Quintero H.F., Chon K.H. 2020. Innovations in electrodermal activity data collection Google Scholar
and signal processing: A systematic review. Sensors (Basel), 20(2): 479. https://doi.org/10.3390/ Google Scholar
s20020479 Google Scholar
Schubert C., Lambertz M., Nelesen R.A., Bardwell W., Choi J.-B., Dimsdale J.E. 2009. Google Scholar
Effects of stress on heart rate complexity – A comparison between short-term and chronic stress. Google Scholar
Biological Psychology, 80(3): 325-332. https://doi.org/10.1016/j.biopsycho.2008.11.005
Crossref
Google Scholar
Villarejo M.V., Zapirain B.G., Zorrilla A.M. 2012. A stress sensor based on galvanic skin Google Scholar
response (GSR) controlled by ZigBee. Sensors (Basel), 12(5): 6075-6101. https://doi.org/10.3390/ Google Scholar
s120506075. PMID: 22778631. PMCID: PMC3386730 Google Scholar
a:1:{s:5:"en_US";s:42:"University of Warmia and Mazury in Olsztyn";}
