Odin: Um modelo de coleta adaptativa de sinais vitais

  • Jorge Arthur Schneider Aranda Unisinos
  • Juliano Varella de Carvalho Feevale
  • Jorge Luis Victória Barbosa Unisinos

Resumo


Wearable devices emerged from the advancement of communication technology and the miniaturization of electronic components. These devices periodically monitor the user’s vital signs and generally have low battery life. This thesis proposes Odin, a model for optimized collection of vital signs based on adaptive strategies. The comparison with related works indicates that Odin is the only proposal that presents an adaptive collection of vital signs, which allows the optimized generation of context history. The research validation is divided in three groups. In the first group, simulations were performed in different scenarios, through requisition control, an increase of 114% in battery life was obtained in the adaptive scenario compared to a collection without adaptivity. In the second group, the Odin model was applied to a real physiological data-base and allowed for a reduction in the number of requests due to the adaptability of the collection. This reduction optimized battery consumption by 66% compared to a collection without adaptability. Finally, in the third group, the model was applied in collecting data through an Arduino and also a cardiac monitoring strap available on the market (Polar H7). During this third part of the evaluation, savings of 18% were observed in the power consumption of the mobile devices involved in the data collection.

Palavras-chave: E-health, Multiagentes, Computação Ubíqua, Sistemas Adaptativos

Referências

Jorge Arthur Schneider Aranda, Rodrigo Simon Bavaresco, Juliano Varella de Carvalho, Adenauer Corrêa Yamin, Mauricio Campelo Tavares, and Jorge Luis Victória Barbosa. 2021. A computational model for adaptive recording of vital signs through context histories. Journal of Ambient Intelligence and Humanized Computing (March 2021). https://doi.org/10.1007/s12652-021-03126-8

Jorge Arthur Schneider Aranda, Lucas Pfeiffer Salomão Dias, Jorge Luis Victória Barbosa, Juliano Varella de Carvalho, João Elison da Rosa Tavares, and Mauricio Campelo Tavares. 2019. Collection and analysis of physiological data in smart environments: a systematic mapping. Journal of Ambient Intelligence and Humanized Computing (July 2019). https://doi.org/10.1007/s12652-019-01409-9

Jorge Barbosa, João Tavares, Ismael Cardoso, Bruno Alves, and Bruno Martini. 2018. TrailCare: An indoor and outdoor Context-aware system to assist wheel-chair users. International Journal of Human-Computer Studies 116 (2018), 1-14. https://doi.org/10.1016/j.ijhcs.2018.04.001

David R. Bassett, Holly R. Wyatt, Helen Thompson, John C. Peters, and James O. Hill. 2010. Pedometer-Measured Physical Activity and Health Behaviors in U. S. Adults. Medicine & Science in Sports & Exercise 42, 10 (Oct. 2010), 1819–1825. https://doi.org/10.1249/mss.0b013e3181dc2e54

Anind K. Dey and Gregory D. Abowd. 2001. A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications. Journal Human-Computer Interaction 16 (2001), 97–166.

Barbara E. Ainsworth, William l. Haskell, Stephen D. Herrmann, Nathanael Meckes, David R. Bassett, Catrine Tudor Locke, Jennifer l. Greer, Jesse Vezina, Melicia C. Whitt-glover, and Arthur S. Leon. 2011. 2011. Compendium of Physical Activities. Medicine & Science in Sports & Exercise 43, 8 (Aug. 2011), 1575–1581. https://doi.org/10.1249/mss.0b013e31821ece12

William E. Kraus, Carol E. Torgan, Brian D. Duscha, Jami Norris, Spencer A. Brown, Frederick R. Cobb, Connie W. Bales, Brian H. Annex, Gregory P. Samsa, Joseph A. Houmard, and Cris A. Slentz. 2001. Studies of a targeted risk reduction intervention through defi ned exercise (STRRIDE). Medicine & Science in Sports & Exercise 33, 10 (Oct. 2001), 1774–1784. https://doi.org/10.1097/00005768-200110000-00025

Johanna L. Johnson, Cris A. Slentz, Leanna M. Ross, Kim M. Huffman, and William E. Kraus. 2019. Ten-Year Legacy Effects of Three Eight-Month Exercise Training Programs on Cardiometabolic Health Parameters. Frontiers in Physiology 10 (April 2019). https://doi.org/10.3389/fphys.2019.00452

Val Jones, Aart van Halteren, Ing Widya, Nikolai Dokovsky, George Koprinkov, Richard Bults, Dimitri Konstantas, and Rainer Herzog. 2006. Mobihealth: Mobile Health Services Based on Body Area Networks. Springer US, Boston, MA, 219–236. https://doi.org/10.1007/0-387-26559-7_16

David Liu, Matthias Görges, and Simon A Jenkins. 2011. University of Queensland Vital Signs Dataset: Development of an Accessible Repository of Anesthesia Patient Monitoring Data for Research. Anesthesia and analgesia 114 (12 2011), 584–9. https://doi.org/10.1213/ANE.0b013e318241f7c0

Constance M. Mier and Yuri Feito. 2006. Metabolic Cost of Stride Rate, Resistance, and Combined Use of Arms and Legs on the Elliptical Trainer. Research Quarterly for Exercise and Sport 77, 4 (Dec. 2006), 507–513. https://doi.org/10.1080/027013672006.10599385.

Ministério da Saúde. Secretaria de Gestão do Trabalho e da Educação na Saúde. 2003. Departamento de Gestão da Educação na Saúde. Projeto de Profissionalização dos Trabalhadores da área de Enfermagem (2003).

Muaz Niazi and Amir Hussain. 2011. Agent-based computing from multi-agent systems to agent-based Models: a visual survey. Scientometrics 89 (11 2011), 479–499. https://doi.org/10.1007/s11192-011-0468-9

Lin Padgham and Michael Winikoff. 2004. Developing Intelligent Agent Systems: A Practical Guide. John Wiley & Sons, Inc., New York, NY, USA. https://doi.org/10.1002/0470861223

SAP. 2007. Standardized Technical Architecture Modeling, (2007).

M. Satyanarayanan. 2001. Pervasive computing: vision and challenges. IEEE Personal Communications 8, 4 (Aug 2001), 10–17. https://doi.org/10.1109/98.943998

United Nations Department of Economic and Social Affairs. 2019. World Population Prospects 2019. https://population.un.org/wpp/Publications/Files/WPP2019_Highlights.pdf

Andreas Voss, Rico Schroeder, Andreas Heitmann, Annette Peters, and Siegfried Perz. 2015. Short-Term Heart Rate Variability-Influence of Gender and Age in Healthy Subjects. PLOS ONE 10, 3 (March 2015), e0118308. https://doi.org/10.1371/journal.pone.0118308

André Wagner, Jorge Luis Victória Barbosa, and Débora Nice Ferrari Barbosa. 2014. A model for profile management applied to ubiquitous learning environments. Expert Systems with Applications 41, 4, Part 2 (2014), 2023-2034. https://doi.org/10.1016/j.eswa.2013.08.098
Publicado
05/11/2021
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ARANDA, Jorge Arthur Schneider; DE CARVALHO, Juliano Varella; BARBOSA, Jorge Luis Victória. Odin: Um modelo de coleta adaptativa de sinais vitais. In: CONCURSO DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 27. , 2021, Minas Gerais. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 19-22. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia_estendido.2021.17605.