Electrodermal Activity Measurement Using Constant Current AC Source
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Electrodermal Activity Measurement Using Constant Current AC Source

Authors: Cristian Chacha, David Asiain, Jesús Ponce de León, José Ramón Beltrán

Abstract:

This work explores and characterizes the behavior of the AFE AD5941 in impedance measurement using an embedded algorithm that allows using a constant current AC source. The main aim of this research is to improve the exact measurement of impedance values for their application in EDA-focused wearable devices. Through comprehensive study and characterization, it has been observed that employing a measurement sequence with a constant current source produces results with increased dispersion but higher accuracy and a more linear behavior with respect to error. As a result, this approach leads to a more accurate system for impedance measurement.

Keywords: Electrodermal Activity, constant current AC source, wearable, precision, accuracy, impedance.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 94

References:


[1] C. Civilotti et al., “State of Mind Assessment in Relation to Adult Attachment and Text Analysis of Adult Attachment Interviews in a Sample of Patients with Anorexia Nervosa,” European Journal of Investigation in Health, Psychology and Education, vol. 12, no. 12, Art. no. 12, Dec. 2022, doi: 10.3390/ejihpe12120124.
[2] S.-E. Jung et al., “The Effectiveness and Safety of Mind-Body Modalities for Mental Health of Nurses in Hospital Setting: A Systematic Review,” International Journal of Environmental Research and Public Health, vol. 18, no. 16, Art. no. 16, Jan. 2021, doi: 10.3390/ijerph18168855.
[3] P. F. Berrocal and R. Cabello, “La inteligencia emocional como fundamento de la educación emocional,” 2021.
[4] H. N. Parikh, H. N. Pandya, J. A. Savaliya, and B. H. Pithadiya, “Electrodermal Activity (EDA) and body temperature Monitoring system for patients with psychological disorder,” J. Phys.: Conf. Ser., vol. 2007, no. 1, p. 012002, Aug. 2021, doi: 10.1088/1742-6596/2007/1/012002.
[5] A. Affanni, A. Piras, R. Rinaldo, and P. Zontone, “Dual channel Electrodermal activity sensor for motion artifact removal in car drivers’ stress detection,” in 2019 IEEE Sensors Applications Symposium (SAS), Mar. 2019, pp. 1–6. doi: 10.1109/SAS.2019.8706023.
[6] A. S. Anusha, S. P. Preejith, T. J. Akl, and M. Sivaprakasam, “Electrodermal activity based autonomic sleep staging using wrist wearable,” Biomedical Signal Processing and Control, vol. 75, p. 103562, May 2022, doi: 10.1016/j.bspc.2022.103562.
[7] S. Sugimine, S. Saito, and T. Takazawa, “Normalized skin conductance level could differentiate physical pain stimuli from other sympathetic stimuli,” Sci Rep, vol. 10, p. 10950, Jul. 2020, doi: 10.1038/s41598-020-67936-0.
[8] W. Boucsein, Electrodermal Activity. Boston, MA: Springer US, 2012. doi: 10.1007/978-1-4614-1126-0.
[9] J. G. Webster and A. J. Nimunkar, Medical Instrumentation: Application and Design. John Wiley & Sons, 2020.
[10] M. S. Mahmud, H. Fang, and H. Wang, “An Integrated Wearable Sensor for Unobtrusive Continuous Measurement of Autonomic Nervous System,” IEEE Internet of Things Journal, vol. 6, no. 1, pp. 1104–1113, Feb. 2019, doi: 10.1109/JIOT.2018.2868235.
[11] A. Joglekar, G. Bhandari, and R. Sundaresan, “ESD wrist strap-based EDA sensor cum ESD strap integrity monitor,” in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, Oct. 2021, pp. 1–6. doi: 10.1109/IECON48115.2021.9589358.
[12] J. Kim, S. Kwon, S. Seo, and K. Park, “Highly wearable galvanic skin response sensor using flexible and conductive polymer foam,” in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug. 2014, pp. 6631–6634. doi: 10.1109/EMBC.2014.6945148.
[13] M.-Z. Poh, N. C. Swenson, and R. W. Picard, “A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity,” IEEE Transactions on Biomedical Engineering, vol. 57, no. 5, pp. 1243–1252, May 2010, doi: 10.1109/TBME.2009.2038487.
[14] M. F. Canabal, J. A. Miranda, J. M. Lanza-Gutiérrez, A. I. Pérez Garcilópez, and C. López-Ongil, “Electrodermal Activity Smart Sensor Integration in a Wearable Affective Computing System,” in 2020 XXXV Conference on Design of Circuits and Integrated Systems (DCIS), Nov. 2020, pp. 1–6. doi: 10.1109/DCIS51330.2020.9268662.
[15] H. F. Posada-Quintero and K. H. Chon, “Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review,” Sensors, vol. 20, no. 2, Art. no. 2, Jan. 2020, doi: 10.3390/s20020479.
[16] A. S. Anusha, S. P. Preejith, T. J. Akl, J. Joseph, and M. Sivaprakasam, “Dry Electrode Optimization for Wrist-based Electrodermal Activity Monitoring,” in 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jun. 2018, pp. 1–6. doi: 10.1109/MeMeA.2018.8438595.
[17] “UNE-EN 60601-1:2008 Equipos electromédicos. Parte 1: Requisito...” Accessed: Jun. 26, 2023. (Online). Available: https://www.une.org/encuentra-tu-norma/busca-tu-norma/norma?c=N0041083
[18] “AD5941 Datasheet and Product Info | Analog Devices.” Accessed: Jun. 24, 2023. (Online). Available: https://www.analog.com/en/products/ad5941.html#product-overview