Electrodermal Activity Sensor for Classification of Calm/Distress Condition

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2017 Oct 13

PMID 29023403

Citations 34

Authors

Roberto Zangroniz

Arturo Martinez-Rodrigo

Jose Manuel Pastor

Maria T Lopez

Antonio Fernandez-Caballero

Affiliations

Soon will be listed here.

Abstract

This article introduces a new and unobtrusive wearable monitoring device based on electrodermal activity (EDA) to be used in health-related computing systems. This paper introduces the description of the wearable device capable of acquiring the EDA of a subject in order to detect his/her calm/distress condition from the acquired physiological signals. The lightweight wearable device is placed in the wrist of the subject to allow continuous physiological measurements. With the aim of validating the correct operation of the wearable EDA device, pictures from the International Affective Picture System are used in a control experiment involving fifty participants. The collected signals are processed, features are extracted and a statistical analysis is performed on the calm/distress condition classification. The results show that the wearable device solely based on EDA signal processing reports around 89% accuracy when distinguishing calm condition from distress condition.

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References

Jung Y, Hu J . A -fold Averaging Cross-validation Procedure. J Nonparametr Stat. 2016; 27(2):167-179. PMC: 5019184. DOI: 10.1080/10485252.2015.1010532. View

Kikhia B, Stavropoulos T, Andreadis S, Karvonen N, Kompatsiaris I, Savenstedt S . Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia. Sensors (Basel). 2016; 16(12). PMC: 5190970. DOI: 10.3390/s16121989. View

Uhrig M, Trautmann N, Baumgartner U, Treede R, Henrich F, Hiller W . Emotion Elicitation: A Comparison of Pictures and Films. Front Psychol. 2016; 7:180. PMC: 4756121. DOI: 10.3389/fpsyg.2016.00180. View

Salai M, Vassanyi I, Kosa I . Stress Detection Using Low Cost Heart Rate Sensors. J Healthc Eng. 2016; 2016. PMC: 5058562. DOI: 10.1155/2016/5136705. View

Lang P . The emotion probe. Studies of motivation and attention. Am Psychol. 1995; 50(5):372-85. DOI: 10.1037//0003-066x.50.5.372. View

Torniainen J, Cowley B, Henelius A, Lukander K, Pakarinen S . Feasibility of an electrodermal activity ring prototype as a research tool. Annu Int Conf IEEE Eng Med Biol Soc. 2016; 2015:6433-6. DOI: 10.1109/EMBC.2015.7319865. View

Majumder S, Mondal T, Deen M . Wearable Sensors for Remote Health Monitoring. Sensors (Basel). 2017; 17(1). PMC: 5298703. DOI: 10.3390/s17010130. View

Martinez A, Alcaraz R, Rieta J . Morphological variability of the P-wave for premature envision of paroxysmal atrial fibrillation events. Physiol Meas. 2013; 35(1):1-14. DOI: 10.1088/0967-3334/35/1/1. View

Macefield V, Wallin B . The discharge behaviour of single sympathetic neurones supplying human sweat glands. J Auton Nerv Syst. 1996; 61(3):277-86. DOI: 10.1016/s0165-1838(96)00095-1. View

10.

Fernandez-Caballero A, Martinez-Rodrigo A, Pastor J, Castillo J, Lozano-Monasor E, Lopez M . Smart environment architecture for emotion detection and regulation. J Biomed Inform. 2016; 64:55-73. DOI: 10.1016/j.jbi.2016.09.015. View

11.

Seoane F, Mohino-Herranz I, Ferreira J, Alvarez L, Buendia R, Ayllon D . Wearable biomedical measurement systems for assessment of mental stress of combatants in real time. Sensors (Basel). 2014; 14(4):7120-41. PMC: 4029694. DOI: 10.3390/s140407120. View

12.

Benedek M, Kaernbach C . A continuous measure of phasic electrodermal activity. J Neurosci Methods. 2010; 190(1):80-91. PMC: 2892750. DOI: 10.1016/j.jneumeth.2010.04.028. View

13.

EDELBERG R, GREINER T, BURCH N . Some membrane properties of the effector in the galvanic skin response. J Appl Physiol. 1960; 15:691-6. DOI: 10.1152/jappl.1960.15.4.691. View

14.

Kim J, Kwon S, Seo S, Park K . Highly wearable galvanic skin response sensor using flexible and conductive polymer foam. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2014:6631-4. DOI: 10.1109/EMBC.2014.6945148. View

15.

Setz C, Arnrich B, Schumm J, La Marca R, Troster G, Ehlert U . Discriminating stress from cognitive load using a wearable EDA device. IEEE Trans Inf Technol Biomed. 2009; 14(2):410-7. DOI: 10.1109/TITB.2009.2036164. View

16.

Poh M, Swenson N, Picard R . A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Trans Biomed Eng. 2010; 57(5):1243-52. DOI: 10.1109/TBME.2009.2038487. View

17.

Veltman J, Gaillard A . Physiological indices of workload in a simulated flight task. Biol Psychol. 1996; 42(3):323-42. DOI: 10.1016/0301-0511(95)05165-1. View

18.

Mozos O, Sandulescu V, Andrews S, Ellis D, Bellotto N, Dobrescu R . Stress Detection Using Wearable Physiological and Sociometric Sensors. Int J Neural Syst. 2016; 27(2):1650041. DOI: 10.1142/S0129065716500416. View

19.

van Dooren M, de Vries J, Janssen J . Emotional sweating across the body: comparing 16 different skin conductance measurement locations. Physiol Behav. 2012; 106(2):298-304. DOI: 10.1016/j.physbeh.2012.01.020. View