Cyber-Physical Systems in Healthcare: Enhancing Patient Monitoring

Authors

  • Jamie Edwards
  • Taylor King
  • Taylor Lee

Keywords:

cyber-physical systems, healthcare, patient monitoring, real-time data, analytics

Abstract

This article explores the application of cyber-physical systems (CPS) in healthcare to revolutionize patient monitoring and treatment. By integrating real-time data from medical devices with advanced analytics, the research studies improvements in early diagnosis, personalized treatment, and healthcare delivery. The findings highlight how CPS can bridge the gap between digital and physical realms, offering enhanced accuracy in patient monitoring and increased efficiency in healthcare services. Case studies demonstrate the implementation of CPS in hospital settings, underscoring its potential to significantly improve patient outcomes and operational effectiveness within the healthcare system.

Author Biographies

Jamie Edwards

PhD in Biomedical Engineering
McGill University
845 Sherbrooke St W, Montreal, Quebec H3A 0G4, Canada

Taylor King

PhD in Medical Informatics
Karolinska Institute
Nobels väg 1, 171 77 Stockholm, Sweden

Taylor Lee

PhD in Computer Engineering
Kyiv Medical University
Boryspilska St, 2, Kyiv, 02099, Ukraine

References

Darvishi, A., Guggiana, V., Munteanu, E., Schauer, H., Motavalli, M., & Rauterberg, M. (1994). Synthesizing non-speech sound to support blind and visually impaired computer users. In Computers for Handicapped Persons: 4th International Conference, ICCHP'94 Vienna, Austria, September 14–16, 1994 Proceedings 4 (pp. 385-393). Springer Berlin Heidelberg.

Satyanarayana, D., & Elmirghani, J. M. (2010, December). An energy efficient network architecture for infrastructured wireless networks. In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010 (pp. 1-6). IEEE.

Satyanarayana, D., & Elmirghani, J. M. (2009, September). A voronoi based energy efficient architecture for wireless networks. In 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies (pp. 377-382). IEEE.

Satyanarayana, D., & Rao, S. V. (2008, July). Local Delaunay triangulation for mobile nodes. In 2008 First International Conference on Emerging Trends in Engineering and Technology (pp. 282-287). IEEE.

Satyanarayana, D. (2007, February). Greedy local delaunay triangulation routing for wireless ad hoc networks. In 2007 International Conference on Signal Processing, Communications and Networking (pp. 49-53). IEEE.

Satyanarayana, D., & Rao, S. V. (2007, December). Fault tolerant local Delaunay triangulation for ad hoc sensor networks. In 2007 Third International Conference on Wireless Communication and Sensor Networks (pp. 36-40). IEEE.

Satyanarayana, D., Sathyashree, A. A. K., & Alkalbani, A. (2015, November). Voronoi LEACH for Energy Efficient Communication in Wireless Sensor Networks. In Proceedings for the International Conference on Electronics Computer networks and Information Technology, Dubai.

Kumar, N., & Kataria, V. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Rahimov, E. R. (2010). BASE PRINCIPAL OF MANAGING OF NETWORK SOFTWARE SECURITY BY VULNERABILITIES DETERMINATION MODEL. Computer Sciences and Telecommunications, (5), 70-74.

Published

2023-09-04

Issue

Section

Articles