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

By Tuan Anh Nguyen Gia, Mingzhe Jiang, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen. 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015

411 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/508b3797a2b8b862707767572cb7ad4fad200456

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In Biomedical Engineering

In Cardiology and Cardiovascular Medicine

In Computer Networks and Communications

Citations in the corpus

Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes (2018, background): “[6] proposed an enhanced cloud-based fog computing system in which bio-signals are analyzed at the fog server side for realtime applications.”
Leveraging Fog Computing for Healthcare IoT (2018, methodology): “In [25], the authors show that latency and a large amount of transmitted data can be decreased dramatically by applying the services of the Fog layer.”
Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm (2017, background): “The application that has been designed and modeled in the paper is motivated from standardized realistic IoT scenarios like health care [21] and latency-critical gaming [22].”
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “Fog Computing at smart gateways, providing services such as embedded data mining, distributed storage, and notification service at the edge of network to mitigate challenges imposed by the adoption of remote cloud services [51, 66].”
A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “provide advanced techniques and services such as embedded data mining, distributed storage, and notification service at the edge [278], [308].”
An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2019, background): “In the same direction, the authors of [11] proposed another IoT enabled healthcare system architecture which beneﬁts from the concept of fog computing providing advanced techniques and services such as embedded data mining, distributed storage, and notiﬁcation service at the edge of a network.”
An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “The DAG application topology is the most often used because it models a large range of realistic IoT applications like Video processing [14, 21, 125], gaming [162], or healthcare [57] applications.”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “In [359] the authors introduce processing ECG features using fog nodes, which results in low-bandwidth and low-latency data processing.”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, methodology): “[46] utilized fog computing as a smart gateway to provide sophisticated techniques and services such as distributed storage and embedded data mining.”
A Survey on Internet of Things and Cloud Computing for Healthcare (2019, background): “In 2015, Gia improved existing fog computing systems by analyzing bio-signals on the fog server side to support real-time systems [32].”
Edge-computing-driven Internet of Things: A Survey (2022, neutral): “Giaetal. introduced a medical application of the ECDriven-IoT [60].”
Fog computing security: a review of current applications and security solutions (2017, background): “Another application of Fog computing in healthcare includes Electrocardiogram (ECG) feature extraction to diagnose cardiac diseases [58].”
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “Smart Healthcare Wearable Big Data Analysis [25], Speech Treatments of Patients with Parkinson’s Disease [25], Smart E-health Gateways [26], Fall Detection for Stroke Patients [40], Prediction of Sudden Cardiac Death [43], Patient Activity Tracking [58], Patient Care in Hospitals [58], Human Health ”
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, methodology): “Several references conducted experiments indicating that when using fog, a smaller trafﬁc is sent to the cloud as in Krishnan et al. [58], Gia et al. [68], and Tang et al. [75].”