Foundations and Trends® in Electronic Design Automation > Vol 12 > Issue 4

Smart Healthcare

Hongxu Yin, Princeton University, USA, hongxuy@princeton.edu Ayten Ozge Akmandor, Princeton University, USA, akmandor@princeton.edu Arsalan Mosenia, Princeton University, USA, arsalan@princeton.edu Niraj K. Jha, Princeton University, USA, jha@princeton.edu
 
Suggested Citation
Hongxu Yin, Ayten Ozge Akmandor, Arsalan Mosenia and Niraj K. Jha (2018), "Smart Healthcare", Foundations and TrendsĀ® in Electronic Design Automation: Vol. 12: No. 4, pp 401-466. http://dx.doi.org/10.1561/1000000054

Published: 30 May 2018
© 2018 H. Yin, A. O. Akmandor, A. Mosenia and N. K. Jha
 
Subjects
System Level Design,  Modeling and Analysis: Sensor Networks,  Cyber-physical systems security and privacy
 

Free Preview:

Article Help

Share

Download article
In this article:
1. Introduction
2. What is Smart Healthcare?
3. Emerging Smart Healthcare Systems
4. Design Considerations
5. Innovations & Trends
6. Looking Forward
7. Conclusion
Acknowledgments
References

Abstract

Internet-of-Things and machine learning promise a new era for healthcare. The emergence of transformative technologies, such as Implantable and Wearable Medical Devices (IWMDs), has enabled collection and analysis of physiological signals from anyone anywhere anytime. Machine learning allows us to unearth patterns in these signals and make healthcare predictions in both daily and clinical situations. This broadens the reach of healthcare from conventional clinical contexts to pervasive everyday scenarios, from passive data collection to active decision-making. Despite the existence of a rich literature on IWMD-based and clinical healthcare systems, the fundamental challenges associated with design and implementation of smart healthcare systems have not been well-addressed. The main objectives of this article are to define a standard framework for smart healthcare aimed at both daily and clinical settings, investigate state-of-the-art smart healthcare systems and their constituent components, discuss various considerations and challenges that should be taken into account while designing smart healthcare systems, explain how existing studies have tackled these design challenges, and finally suggest some avenues for future research based on a set of open issues and challenges.

DOI:10.1561/1000000054
ISBN: 978-1-68083-440-6
80 pp. $65.00
Buy book
 
ISBN: 978-1-68083-441-3
80 pp. $140.00
Buy E-book (.pdf)
Table of contents:
1. Introduction
2. What is Smart Healthcare?
3. Emerging Smart Healthcare Systems
4. Design Considerations
5. Innovations & Trends
6. Looking Forward
7. Conclusion
Acknowledgments
References

Smart Healthcare

Internet-of-Things and machine learning promise a new era for healthcare. The emergence of transformative technologies, such as Implantable and Wearable Medical Devices (IWMDs), has enabled collection and analysis of physiological signals from anyone anywhere anytime. Machine learning allows us to unearth patterns in these signals and make healthcare predictions in both daily and clinical situations. This broadens the reach of healthcare from conventional clinical contexts to pervasive everyday scenarios, from passive data collection to active decision-making.

Despite the existence of a rich literature on IWMD-based and clinical healthcare systems, the fundamental challenges associated with design and implementation of smart healthcare systems have not been well-addressed. Smart Healthcare defines a standard framework for smart healthcare aimed at both daily and clinical settings. It investigates state-of-the-art smart healthcare systems and their constituent components, discusses various considerations and challenges that should be taken into account while designing smart healthcare systems, explains how existing studies have tackled these design challenges, and, finally, suggests some avenues for future research based on a set of open issues and challenges.

 
EDA-054