يعرض 1 - 20 نتائج من 189 نتيجة بحث عن '"Sánchez Hernández, Jaime"', وقت الاستعلام: 0.65s تنقيح النتائج
  1. 1
  2. 2
    Electronic Resource
  3. 3
    Electronic Resource
  4. 4
    Academic Journal
  5. 5
    Report
  6. 6
    Report
  7. 7
    Report

    المصدر: Theory and Practice of Logic Programming, vol. 4, no. 1&2, 2004

    مصطلحات موضوعية: Computer Science - Programming Languages, D.1.6, D.3.2

  8. 8
    Academic Journal

    المساهمون: Jiménez-Agudelo, Yury Andrea, dir.

    وصف الملف: 108 páginas; application/pdf

    Relation: «Signos Vitales: Temperatura Corporal, Pulso, Frecuencia Respiratoria y Presión Sanguínea - Health Encyclopedia - University of Rochester Medical Center», 17-nov-2016. [En línea]. Disponible en: https://www.urmc.rochester.edu/encycloped; A. de Santos Sierra, C. Sánchez Ávila, J. Guerra Casanova, G. Bailador del Pozo, "A Stress- Detection System Based on Physiological Signals and Fuzzy Logic" IEEE Transactions on Industrial Electronics. Vol. 58. No. 10. Octuber 2011. Pp. 4; A. Healey, R. W. Picard, “Detecting stress during real world driving tasks using physiological sensors”. Intelligent Transportation Systems, IEEE Transactions on. Volumen 6. Junio 2013. Pp. 156-166.; A. M. E. Sánchez, O. G. Pérez, S. L. Leija, “Medición integral de estrés crónico”. Revista Mexicana de Ingeniería Biomédica. Volumen 25. 2004. Pp. 60-67.; Buechley, L.; Eisenberg, M. The LilyPad Arduino: Toward Wearable Engineering for Everyone. IEEE Pervasive Comput. 2008, 7, 12–15.; C. Schubert, M. Lambertz, R.A. Nelesen, W. Bardwell, J. B. Choi, J.E. Dimsdale. “Effects of stress on heart rate complexity—A comparison between short-term and chronic stress”. Biol Psychol. Vol. 80. No. 3. March 2010. Pp. 325-332.; Cooking Hacks, «e-Health Sensor Platform V2.0 for Arduino and Raspberry Pi [Biometric / Medical Applications]», 12-may-2017. [En línea]. Disponible en: https://www.cookinghacks.com/documentation/tutorials/ehealth-biometric-sensor-platfo; D. Wu, C. G. Courtney, B. J. Lance, S. S. Narayanan, M. E. Dawson, K. S. Oie, and T. D. Parsons, “Optimal arousal identification and classification for affective computing using physiological signals: Virtual reality stroop task,” IEEE Tra; DUALTRONICA. 2020. DUALTRONICA. [En línea] Abril de 2020. https://dualtronica.com/sensores/311-sensor-de-ritmo-pulso-cardiaco.html.ORGANIZACIÓN PANAMERICANA DE LA SALUD. 2013. Reemplazo de los termómetros y de los tensiómetros de mercurio; F. Hernando-Gallego and A. Art´es-Rodr´ıguez, “Individual performance calibration using physiological stress signals,” pp. 1–6, 2015; G. Tanev, D. B. Saadi, K. Hoppe, B. D. Sorensen. “Classification of Actue Stress using Linear and Non Linear Heart Rate Variability Analysis Derived from Sternal ECG”. IEEE Engineering in Medicine and Biology. August 2014. Pp 3386-3389; González de Rivera, J.L. Estrés. Psicología médica. 1994; p. 1-7.; Guo, F.; Li, Y.; Kankanhalli, M.; Brown, M. An evaluation of wearable activity monitoring devices. In Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia, Barcelona, Spain, 22 October 2013.; J. a. Healey, “Wearable and automotive systems for affect recognition from physiology,” p. 158, 2000.; J. Z. J. Zhai, A. Barreto, C. Chin, and C. L. C. Li, “Realization of stress detection using psychophysiological signals for improvement of humancomputer interactions,” IEEE SoutheastCon, 2005., pp. 415–420, 2005; M. A. Picó, “Caracterización de medidas de regularidad en señales biomédicas”. Editorial Universidad Politécnica de Valencia. Julio 2014.; M. Maksimović, V. Vujović, y B. Periśić, «A custom Internet of Things healthcare system», en 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015, pp. 16.; Miwa, H.; Sasahara, S.; Matsui, T. Roll-over Detection and Sleep Quality Measurement Using a Wearable Sensor. In Proceedings of the 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon; Orlandini, A. Es estrés: que es y cómo evitarlo. Madrid: Fondo de cultura económica de España; 1999.; P. Mellino, M. Bracale, L. Pecchia. “Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination”. Biomedical Engineer. 2011. Pp. 1-13.; Pasquali L. Principios de elaboraÇao de escalas psicológicas. Revista de Psiquiatría Clínica. 1998 Septiembre - Octubre; 25(5).; Sazonov, E.; Neuman, M. Wearable Sensors: Fundamentals, Implementation and Applications; Academic Press: Waltham, MA, USA, 2014; Swan, M. Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2. J. Sens. Actuator Netw. 2012, 1, 217–253.; V. S. Anischenko, N. B. Igosheva, A. N. Pavlov, I. A. Khovanov, T. A. Yakusheva. “Comparative Analysis of Methods for Classifying the Cardiovascular System’s States Under Stress”. Critical Reviews in Biomedical Engineering. No. 2. 2001; Roncancio-Carrero, F. S. & Sánchez-Hernández, J. A. (2020). Prototipo funcional de medición de variables fisiológicas corporales indicadoras de estrés. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Programa de Ingeniería Electrónica y Telecomunicaciones. Bogotá, Colombia; https://hdl.handle.net/10983/25547

  9. 9
  10. 10
    Book

    المصدر: Analysis, Verification and Transformation for Declarative Programming and Intelligent Systems ; Lecture Notes in Computer Science ; page 188-205 ; ISSN 0302-9743 1611-3349 ; ISBN 9783031314759 9783031314766

  11. 11
    Academic Journal
  12. 12
    Academic Journal
  13. 13
    Electronic Resource
  14. 14
    Electronic Resource
  15. 15
  16. 16
    Electronic Resource
  17. 17
    Electronic Resource
  18. 18
    Electronic Resource
  19. 19
    Electronic Resource
  20. 20
    Conference