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Low-Cost Fog-Assisted Health-Care IoT System with Energy Efficient Sensor Nodes

Tuan Nguyen Gia, Mingzhe Jiang, K.Victor Sarker, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, Low-Cost Fog-Assisted Health-Care IoT System with Energy Efficient Sensor Nodes. In: Jaime Lloret Mauri, Slim Alouini (Eds.), The 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017) , 1–6, IEEE, 2017.

Abstract:

A better lifestyle starts with a healthy heart. Unfortunately, millions of people around the world are either directly affected by heart diseases such as coronary artery disease and heart muscle disease (Cardiomyopathy), or are indirectly having heart-related problems like heart attack and/or heart rate irregularity. Monitoring and analyzing these heart conditions in some cases could save a life if proper actions are taken accordingly. A widely used method to monitor these heart conditions is to use ECG or electrocardiography. However, devices used for ECG are costly, energy-inefficient, bulky, and mostly limited to the ambulatory environment. With the advancement and higher affordability of Internet of Things (IoT), it is possible to establish better health-care by providing real-time monitoring and analysis of ECG. In this paper, we present a low-cost health monitoring system that provides continuous remote monitoring of ECG together with automatic analysis and notification. The system consists of energy-efficient sensor nodes and a fog layer altogether taking advantage of IoT. The sensor nodes collect and wirelessly transmit ECG, respiration rate, and body temperature to a smart gateway which can be accessed by appropriate care-givers. In addition, the system can represent the collected data in useful ways, perform automatic decision making and provide many advanced services such as real-time notifications for immediate attention

Low-cost Fog-assisted Health-care IoT System with Energy Efficient Sensor Nodes. Available from: https://www.researchgate.net/publication/315665270_Low-cost_Fog-assisted_Health-care_IoT_System_with_Energy_Efficient_Sensor_Nodes [accessed Jul 18, 2017].

BibTeX entry:

@INPROCEEDINGS{inpNgJiSaRaWeLiTe17a,
  title = {Low-Cost Fog-Assisted Health-Care IoT System with Energy Efficient Sensor Nodes},
  booktitle = {The 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017) },
  author = {Nguyen Gia, Tuan and Jiang, Mingzhe and Sarker, K.Victor and Rahmani, Amir-Mohammad and Westerlund, Tomi and Liljeberg, Pasi and Tenhunen, Hannu},
  editor = {Lloret Mauri, Jaime and Alouini, Slim},
  publisher = {IEEE},
  pages = {1–6},
  year = {2017},
}

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

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