Un camino hacia un Gemelo digital de bienestar impulsado por la computación en memoria utilizando el sistema de monitoreo remoto de pacientes (WDT-RPMS)

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Kishore Kumar Kadari
Ali Shiri Sichani
Wilfrido Moreno

Resumen

Con la rápida transformación digital, la medicina de precisión ha sido una parte esencial para elevar la conciencia de la atención médica con respecto al modelo biopsicosocial con la ayuda de sistemas de monitoreo remoto de pacientes. Los gemelos digitales han tenido éxito en muchas industrias, en la atención médica puede optimizar el bienestar del cuerpo humano para mejorar el bienestar físico y mental, incluidas las poblaciones enfermas no diagnosticadas y las poblaciones rurales.


  En este artículo, discutimos los desafíos en términos de computación para implementar un sistema complejo llamado Wellness Digital Twin-based Remote Patient Monitoring. Siguiendo la Ingeniería de Sistemas Basada en Modelos, presentamos la definición y las necesidades del gemelo digital en el contexto del Bienestar y la atención médica, un estudio de viabilidad seguido de un concepto de operaciones. Posteriormente, presentamos los requisitos y la arquitectura, incluida la computación en memoria (memorias emergentes no volátiles, dispositivos memristivos) que mejorarán la detección, el análisis y las palancas de acción.

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Cómo citar
Kumar Kadari, K., Shiri Sichani, A., & Moreno, W. . (2023). Un camino hacia un Gemelo digital de bienestar impulsado por la computación en memoria utilizando el sistema de monitoreo remoto de pacientes (WDT-RPMS). Revista Tecnología En Marcha, 36(6), Pág 12–22. https://doi.org/10.18845/tm.v36i6.6750
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Citas

Sascha Kraus, Francesco Schiavone, Anna Pluzhnikova, and Anna Chiara Invernizzi. Digital transformation in healthcare: Analyzing the current state-of-research. Journal of Business Research, 123:557–567, 2021.

Bilal Alhayani, Ameer Sardar Kwekha-Rashid, Hemant B Mahajan, Haci Ilhan, Nilesh Uke, Ahmed Alkhayyat, and Husam Jasim Mohammed. 5g standards for the industry 4.0 enabled communication systems using artificial intelligence: perspective of smart healthcare system. Applied Nanoscience, pages 1–11, 2022.

European Commission, Directorate-General for Health, Food Safety, F Lupia´nez-Villanueva, L Gunderson, S Vitiello, N Febrer, F Folkvord,˜ L Chabanier, N Filali, R Hamonic, E Achard, H Couret, M Arredondo, M Cabrera,

R Garc´ıa, L Lopez, B Merino, and G Fico.´ Study on health data, digital health and artificial intelligence in healthcare. 2022.

Rahatara Ferdousi, Fedwa Laamarti, M Anwar Hossain, Chunsheng Yang, and Abdulmotaleb El Saddik. Digital twins for well-being: an overview. Digital Twin, 1(7):7, 2022.

Marie Ferrua, Etienne Minvielle, Aude Fourcade, Benoˆıt Lalloue, Claude´ Sicotte, Mario Di Palma, and Olivier Mir. How to design a remote patient monitoring system? a french case study. BMC Health Services Research, 20(1):1–16, 2020.

Mariana Oliveira, Eduardo Zancul, and Andre Leme Fleury.´ Design thinking as an approach for innovation in healthcare: systematic review and research avenues. BMJ Innovations, 7(2), 2021.

David D Walden, Garry J Roedler, and Kevin Forsberg. Incose systems engineering handbook version 4:

updating the reference for practitioners. In INCOSE International Symposium, volume 25, pages 678–686. Wiley Online Library, 2015.

Lenny Delligatti. SysML distilled: A brief guide to the systems modeling language; Chapter 1: Overview of Model-Based Systems Engineering. Addison-Wesley, 2013.

Kulleni Gebreyes. Breaking the cost curve. available at

https://www2.deloitte.com/us/en/insights/industry/health-care/future-health-care-spending.html, year = (accessed: 04.26.2022),

Tyler S Severance, Zheng Milgrom, Anye Carson, Caitlin M Scanlon,´ Rishika Chauhan O’Brien, Brent Anderson, Mary Robertson, Andrea Janota, Scott L Coven, Eneida A Mendonca, et al. Cancer prevention, screening, and survivorship echo: A pilot experience with an educational telehealth program. Cancer medicine, 11(1):238– 244, 2022.

Veysel Tahan, Ashraf Almashhrawi, Rachel Mutrux, and Jamal A Ibdah. Show me echo-hepatitis c: A telemedicine mentoring program for patients with hepatitis c in underserved and rural areas in missouri as a model in developing countries. Turk J Gastroenterol, 26(6):447–9, 2015.

Marie-Valentine Florin and Gerard Escher.´ A roadmap for the development of precision medicine. Technical report, International Risk Governance Center (IRGC), 2017.

Carsten Rocker, Martina Ziefle, and Andreas Holzinger. From computer¨ innovation to human integration:

current trends and challenges for pervasive healthtechnologies. In Pervasive health, pages 1–17. Springer, 2014.

European Commission. Enabling the digital transformation of health and care in the digital single market; empowering citizens and building a healthier society, 2018.

Daniele Ielmini and H-S Philip Wong. In-memory computing with resistive switching devices. Nature electronics, 1(6):333–343, 2018.

Jessilyn Dunn, Lukasz Kidzinski, Ryan Runge, Daniel Witt, Jennifer L Hicks, Sophia Miryam Schussler-Fiorenza Rose, Xiao Li, Amir Bah-¨ mani, Scott L Delp, Trevor Hastie, et al. Wearable sensors enable personalized predictions of clinical laboratory measurements. Nature medicine, 27(6):1105–1112, 2021.

Sara Mahvash Mohammadi, Shirin Enshaeifar, Adrian Hilton, Derk-Jan Dijk, and Kevin Wells. Transfer learning for clinical sleep pose detection using a single 2d ir camera. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29:290–299, 2020.

Hiroki Kato, Yu Enokibori, Naoto Yoshida, and Kenji Mase. Toward fine-grained sleeping activity recognition: 3d extension and an estimation try on joint position of slp dataset. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pages 322–327, 2021.

Yury V Kistenev, Alexey V Borisov, and Denis A Vrazhnov. Breathomics for lung cancer diagnosis. In Multimodal Optical Diagnostics of Cancer, pages 209–243. Springer, 2020.

Xiao Sun, Zongqing Lu, Wenjie Hu, and Guohong Cao. Symdetector: detecting sound-related respiratory symptoms using smartphones. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 97–108, 2015.

Nagaraj Lakshmana Prabhu and Nagarajan Raghavan. Computational failure analysis of in-memory rram architecture for pattern classification cnn circuits. IEEE Access, 9:168093–168106, 2021.

Sibi C Sethuraman, Pranav Kompally, Saraju P Mohanty, and Uma Choppali. Mywear: A novel smart garment for automatic continuous vital monitoring. IEEE Transactions on Consumer Electronics, 67(3):214– 222, 2021.

Arman Anzanpour, Iman Azimi, Maximilian Gotzinger, Amir M Rah-¨ mani, Nima TaheriNejad, Pasi Liljeberg, Axel Jantsch, and Nikil Dutt. Self-awareness in remote health monitoring systems using wearable electronics. In Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, pages 1056–1061. IEEE, 2017.

Guy Bower and Hangyong He. Protocol for awake prone positioning in covid-19 patients: to do it earlier, easier, and longer. Critical Care, 24(1):1–3, 2020.

Matthew Brown. Sleeping positions–make yours work for you. (accessed: 05.02.2022).

E Grossman, A Grossman, MH Schein, R Zimlichman, and B Gavish. Breathing-control lowers blood pressure. Journal of human hypertension, 15(4):263–269, 2001.

Sameer Anil Zope, Rakesh Anil Zope, Gabriella Andrea Biri, and Charushila Sameer Zope. Sudarshan kriya yoga: A breath of hope during covid-19 pandemic. International Journal of Yoga, 14(1):18, 2021.

Warsono Warsono and Arief Yanto. Effectiveness of slow deep breathing exercise on decreasing stress levels for patients with diabetes mellitus. South East Asia Nursing Research, 2(2):55–59, 2020.