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Fog Computing in Healthcare Internet-of-Things: A Case Study on ECG Feature Extraction

Tuan Nguyen Gia, Mingzhe Jiang, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, Fog Computing in Healthcare Internet-of-Things: A Case Study on ECG Feature Extraction. In: Albert Y. Zomaya, Jia Hu, Keshav Dahal (Eds.), Fog Computing in Healthcare Internet-of-Things: A Case Study on ECG Feature Extraction, Computer and Information Technology, 356 – 363 , IEEE, 2015.

http://dx.doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.51

Abstract:

Internet of Things technology provides a competent
and structured approach to improve health and wellbeing of
mankind. One of the feasible ways to offer healthcare services
based on IoT is to monitor humans health in real-time using
ubiquitous health monitoring systems which have the ability to
acquire bio-signals from sensor nodes and send the data to the
gateway via a particular wireless communication protocol. The
real-time data is then transmitted to a remote cloud server
for real-time processing, visualization, and diagnosis. In this
paper, we enhance such a health monitoring system by exploiting
the concept of fog computing at smart gateways providing
advanced techniques and services such as embedded data mining,
distributed storage, and notification service at the edge of net-
work. Particularly, we choose Electrocardiogram (ECG) feature
extraction as the case study as it plays an important role in
diagnosis of many cardiac diseases. ECG signals are analyzed in
smart gateways with features extracted including heart rate, P
wave and T wave via a flexible template based on a lightweight
wavelet transform mechanism. Our experimental results reveal
that fog computing helps achieving more than 90% bandwidth
efficiency and offering low-latency real time response at the edge
of the network.

BibTeX entry:

@INPROCEEDINGS{inpNgJiRaWeLiTe15a,
  title = {Fog Computing in Healthcare Internet-of-Things: A Case  Study on ECG Feature Extraction},
  booktitle = {Fog Computing in Healthcare Internet-of-Things: A Case  Study on ECG Feature Extraction},
  author = {Nguyen Gia, Tuan and Jiang, Mingzhe and Rahmani, Amir-Mohammad and Westerlund, Tomi and Liljeberg, Pasi and Tenhunen, Hannu},
  series = {Computer and Information Technology},
  editor = {Zomaya, Albert Y. and Hu, Jia and Dahal, Keshav},
  publisher = {IEEE},
  pages = {356 – 363 },
  year = {2015},
  keywords = {Internet of Things, Healthcare, Smart Gateway, Sensor Network, Heart Rate, ECG feature extraction, Fog Computing},
  ISSN = {978-1-5090-0153-8 },
}

Belongs to TUCS Research Unit(s): Embedded Computer and Electronic Systems (ECES)

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