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Journal article

Brain-Inspired Intelligence for Real-Time Health Situation Understanding in Smart e-Health Home Applications

Abstract

The autonomic computing layer of the smart e-Health home based on a cognitive dynamic system (CDS) can be a solution for improving health situation understanding, reducing the healthcare system costs, and improving people’s quality of life. It can also be a solution for reducing the large number of sudden deaths outside of a hospital due to fatal diseases such as Arrhythmia. Towards this objective, we start from understanding the health situation, by diagnosing healthy and unhealthy persons. For this, we developed a decision-making system that is inspired by the medical doctors (MDs) decision-making processes. Our system is based on a CDS for cognitive decision-making and it can create a decision-making tree automatically. The simple, low complexity algorithmic design of the proposed system makes it suitable for real-time applications. A proof-of-concept case study of the implementation of the CDS was done on Arrhythmia disease. An accuracy of 95.4% was achieved using the proposed algorithms. Also, these algorithms can make a decision in less than 80 ms, and for one User, this includes the time for training. The proposed platform can be extended for more healthcare applications such as screening, disease class diagnosis, prevention, treatment, or monitoring healing. As a result, the proposed CDS algorithms can be an example of the first step for designing the autonomic computing layer of a smart e-Health home platform.

Authors

Naghshvarianjahromi; Kumar S; Deen MJ

Journal

IEEE Access, Vol. 7, , pp. 180106–180126

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2019

DOI

10.1109/access.2019.2958827

ISSN

2169-3536

Labels

Sustainable Development Goals (SDG)

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