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Home  ›  Technology and Research  ›  Intel® Technology Journal  ›  Autonomic Computing
ITJ Autonomic Computing
Intel® Technology Journal
Featuring Intel's recent
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Autonomic Computing
Volume 10    Issue 04    Published November 9, 2006
ISSN 1535-864X    DOI: 10.1535/itj.1004.06

  Section 7 of 11  
A self-managing framework for health monitoring
Challenges and opportunities

There are several challenges which need to be overcome in order to realize such a digital health-monitoring framework:

Platform reliability. Ensuring the reliability of the entire platform is the key to the success of the proposed architecture. Reliability has to be built right from the electronic component level to the OS and application software level. It is necessary to have fail-safe and backup mechanisms to ensure that patient monitoring is not interrupted when parts of the network fail.

Robust wireless communication. Wireless communication is the backbone of the proposed health-monitoring framework. Robust mechanisms should be developed to mitigate interference issues that result when several wireless networks co-exist. Robust error correction and error detection algorithms should be developed to build the same reliability as that of a wired link in the wireless interfaces.

Standardization and interoperability. The medical device OEMs need to agree on a common set of communication protocols and standard hardware interfaces. Devices from different manufacturers should be able to plug into the system seamlessly.

Infrastructure and ubiquity. The health-monitoring framework needs wireless communication infrastructure like Wi-Fi hot spots, routers, switches, etc. which are limited to a hospital or home network. Emerging technologies such as WiMAX can address the problem of seamless wireless connectivity throughout the cities and villages.

Intelligent algorithms. The PC needs to run intelligent algorithms to make self-managing decisions. The algorithms should be continuously evolving and patient centric. Machine learning, artificial intelligence, and prediction algorithms may require tweaking and clinical trials until they reliably self-manage a health-monitoring framework.

Development of miniature, ultra-low power sensors and battery technology. BFE device sensors and hardware need further miniaturization to the level of a small system-on-chip, and the power needs to be optimized to the microwatt level so that the sensors can operate by using ambient light as the power source. Battery technology such as the lithium-polymer and moldable lithylene battery technology have to evolve further to combine high capacity, small form factor, and light weight.


  Section 7 of 11  

In this article
Abstract
Introduction
Overview of existing patient monitoring solutions
A self-managing framework for health monitoring
Self-managing the health monitoring framework
Usage models
Challenges and opportunities
Conclusion
Acknowledgments
References
Authors' biographies
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