Actividad electrodérmica como indicador preventivo de complicaciones por neuropatía periférica
Barra lateral del artículo
Contenido principal del artículo
- Juan David Romero-Ante+−
- Jose Maria Vicente-Samper+−
- Juliana Manrique-Cordoba+−
- Vicente Esteve-Sala+−
- Miguel Angel de la Casa Lillo+−
- Jose Maria Sabater Navarro+−
Resumen
La neuropatía periférica (NP) es una afección causada por el daño a los nervios periféricos, responsables del movimiento de los brazos y piernas. La NP puede afectar los nervios autónomos, alterando la función sudomotora y generando piel seca y agrietada. Este artículo explora el uso de las propiedades eléctricas de la piel para medir la actividad electrodérmica (EDA) y su utilidad en la evaluación del grado de afectación de la NP. Se ofrece una visión general de la NP y las características de la señal de EDA, así como algunos modelos eléctricos utilizados para su medición. Además, se revisan estudios que relacionan la EDA con el nivel de afectación del paciente. Finalmente, se presenta el diseño de un circuito electrónico para medir la EDA, con el objetivo de desarrollar un sistema portátil capaz de monitorizar en tiempo real la conductancia eléctrica de la piel de la planta del pie, facilitando el seguimiento a nivel ambulatorio de los pacientes.
Palabras clave:
Detalles del artículo
Citas
AnalogDevices, 2022. Ad8552. Available online: https://www.analog.com/en/products/ad8552.html (accesed on May 30, 2024).
Baker, L. B., 2019. Physiology of sweat gland function: The roles of sweating and sweat composition in human health. Temperature 6 (3), 211–259. DOI: https://doi.org/10.1080/23328940.2019.1632145
Bolaños, L. D., Vicente-Samper, J. M., Vinaroz, D. Z., Vivas, O. A., Sala, V. E., Sabater-Navarro, J. M., 2019. Low-cost eda device for scree- ning diabetic neuropathy. In: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE, pp. 253–258. DOI: https://doi.org/10.1109/CBMS.2019.00061
Boucsein, W., 08 2013. Electrodermal activity: Second edition. DOI: 10.1007/978-1-4614-1126-0 DOI: https://doi.org/10.1007/978-1-4614-1126-0
Boucsein, W., Baltissen, R., Euler, M., 1984. Dependence of skin conductance reactions and skin resistance reactions upon previous level. Psychophysio- logy 21 (2), 212–218. DOI: https://doi.org/10.1111/j.1469-8986.1984.tb00207.x
Boucsein, W., Fowles, D. C., Grimnes, S., Ben-Shakhar, G., Roth, W. T., Daw- son, M. E., Filion, D. L., 2012. Publication recommendations for electro- dermal measurements. Psychophysiology 49 (8), 1017–1034. DOI: https://doi.org/10.1111/j.1469-8986.2012.01384.x
Boyko, E. J., Ahroni, J. H., Stensel, V., Forsberg, R. C., Davignon, D. R., Smith, D. G., 1999. A prospective study of risk factors for diabetic foot ulcer. the seattle diabetic foot study. Diabetes care 22 (7), 1036–1042. DOI: https://doi.org/10.2337/diacare.22.7.1036
deSantosSierra,A., Ávila,C.S., Casanova,J.G., DelPozo,G.B., 2011. Real-time stress detection by means of physiological signals. Recent ap- plication in biometrics 58, 4857–65. DOI: https://doi.org/10.5772/18246
Deanfield, J., Daggett, P., Harrison, M., 1980. The role of autonomic neu- ropathy in diabetic foot ulceration. Journal of the Neurological Sciences 47 (2), 203–210. DOI: https://doi.org/10.1016/0022-510X(80)90004-0
Farina, P. R., Turiel, J. P., González, L., Sarmiento, E. G., Herreros, A., Higuero, S., 2009. Neural network application to the development of a novel diabetic neuropathy diagnosis tool using the valsalva index and the scr. In: 2009 9th International Conference on Information Technology and Applications in Biomedicine. IEEE, pp. 1–4. DOI: https://doi.org/10.1109/ITAB.2009.5394431
FEDOP, 2019. La diabetes, primera causa de amputación en España. Available online: https://fedop.org/noticias/la-diabetes-primera-causa-de-amputacion-en-espana (accesed on May 30, 2024).
Hanewinckel, R., Ikram, M., Van Doorn, P., 2016. Peripheral neuropathies. Handbook of clinical neurology 138, 263–282. DOI: https://doi.org/10.1016/B978-0-12-802973-2.00015-X
Khalfallah, K., Ayoub, H., Calvet, J. H., Neveu, X., Brunswick, P., Griveau, S., Lair, V., Cassir, M., Bedioui, F., 2010. Noninvasive galvanic skin sensor for early diagnosis of sudomotor dysfunction: application to diabetes. IEEE Sensors Journal 12 (3), 456–463. DOI: https://doi.org/10.1109/JSEN.2010.2103308
Najstrom, M., Jansson, B., 2007. Skin conductance responses as predictor of emotional responses to stressful life events. Behaviour research and therapy 45 (10), 2456–2463. DOI: https://doi.org/10.1016/j.brat.2007.03.001
NIDDK, 2018. Peripheral neuropathy. Available online: https://www.niddk.nih.gov/health-information/informacion-de-la-salud/diabetes/informacion-general/prevenir-problemas/neuropatias-diabeticas/periferica (accesed on May 30, 2024).
Pabst, O., Tronstad, C., Grimnes, S., Fowles, D., Martinsen, Ø. G., 2017. Comparison between the ac and dc measurement of electrodermal activity. Psychophysiology 54 (3), 374–385. DOI: https://doi.org/10.1111/psyp.12803
Ponirakis, G., Petropoulos, I., Fadavi, H. a., Alam, U., Asghar, O., Marshall, A., Tavakoli, M., Malik, R., 2014. The diagnostic accuracy of neuropad® for assessing large and small fibre diabetic neuropathy. Diabetic medicine 31 (12), 1673–1680. DOI: https://doi.org/10.1111/dme.12536
Posada-Quintero, H. F., Chon, K. H., 2020. Innovations in electrodermal activity data collection and signal processing: A systematic review. Sensors 20 (2), 479. DOI: https://doi.org/10.3390/s20020479
Rico-Olarte, C., López, D. M., Kepplinger, S., 2018. Towards a conceptual framework for the objective evaluation of user experience. In: Design, User Experience, and Usability: Theory and Practice: 7th International Confe- rence, DUXU 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I 7. Springer, pp. 546–559. DOI: https://doi.org/10.1007/978-3-319-91797-9_39
Selvarajah, D., Cash, T., Davies, J., Sankar, A., Rao, G., Grieg, M., Pallai, S., Gandhi, R., Wilkinson, I. D., Tesfaye, S., 2015. Sudoscan: a simple, rapid, and objective method with potential for screening for diabetic peripheral neuropathy. PloS one 10 (10), e0138224. DOI: https://doi.org/10.1371/journal.pone.0138224
SHC, 2019. Thermoregulatory sweat test. Available online:https: //stanfordhealthcare.org/medical-tests/t/tst.html (accesed on May 30, 2024).
Van Dooren, M., Janssen, J. H., et al., 2012. Emotional sweating across the body: Comparing 16 different skin conductance measurement locations. Physiology & behavior 106 (2), 298–304. DOI: https://doi.org/10.1016/j.physbeh.2012.01.020
Vinik, A. I., Maser, R. E., Mitchell, B. D., Freeman, R., 2003. Diabetic auto- nomic neuropathy. Diabetes care 26 (5), 1553–1579. DOI: https://doi.org/10.2337/diacare.26.5.1553
Wang, H.-X., Jia, Z.-R., Shi, X., Liang, W., Sun, X.-R., Huang, Y.-N., 2008. Significance of sympathetic skin response in diagnosis diabetic small fiber neuropathy. Zhonghua yi xue za zhi 88 (25), 1753–1755.