Corpus ID: 236493340

Edge computing in 5G cellular networks for real-time analysis of electrocardiography recorded with wearable textile sensors

  title={Edge computing in 5G cellular networks for real-time analysis of electrocardiography recorded with wearable textile sensors},
  author={Nicolai Spicher and Arne Klingenberg and Valentin Purrucker and Thomas Martin Deserno},
Fifth-generation (5G) cellular networks promise higher data rates, lower latency, and large numbers of interconnected devices. Thereby, 5G will provide important steps towards unlocking the full potential of the Internet of Things (IoT). In this work, we propose a lightweight IoT platform for continuous vital sign analysis. Electrocardiography (ECG) is acquired via textile sensors and continuously sent from a smartphone to an edge device using cellular networks. The edge device applies a state… Expand

Figures and Tables from this paper


Textile Electrocardiogram (ECG) Electrodes for Wearable Health Monitoring
The feasibility of electrocardiogram (ECG) monitoring with sewn textile electrodes instead of traditional gel electrodes in a 3-lead, chest-mounted configuration is demonstrated. Expand
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
A convolutional neural network algorithm is implemented for the automated detection of a normal and MI ECG beats (with noise and without noise) and can accurately detect the unknown ECG signals even with noise. Expand
An Innovative eHealth System Powered By 5G Network Slicing
An innovative eHealth system powered by 5G network slicing is proposed, in order to meet the requirements for the establishment of an efficient network with high capacity, and to incorporate and facilitate the requirements of approaches that aim at analyzing the medical data, towards efficient healthcare. Expand
PTB-XL, a large publicly available electrocardiography dataset
PTB-XL is put forward, the to-date largest freely accessible clinical 12-lead ECG-waveform dataset comprising 21837 records from 18885 patients of 10 seconds length, which turns the dataset into a rich resource for the development and the evaluation of automatic ECG interpretation algorithms. Expand
Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts
Objectives: For a more comprehensive clinical picture, measuring vital signs with multiple devices is advantageous due to the acquisition of complementary information (ECG, body movement, temperatureExpand
Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities
A standard model for application in future IoT healthcare systems is proposed, and the state-of-the-art research relating to each area of the model is presented, evaluating their strengths, weaknesses, and overall suitability for a wearable IoT healthcare system. Expand
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things
This article analyzes the main features of MEC in the context of 5G and IoT and presents several fundamental key technologies which enable MEC to be applied in 5Gs and IoT, such as cloud computing, software-defined networking/network function virtualization, information-centric networks, virtual machine (VM) and containers, smart devices, network slicing, and computation offloading. Expand
A 5G V2X Ecosystem Providing Internet of Vehicles †
Evaluating vehicular Internet-based video services traffic and Vehicle-to-Vehicle (V2V) communications in urban and rural scenarios shows satisfactory performance to the IoV communications requirements when adopting the 5G network with V2X communications. Expand
Unobtrusive Health Monitoring in Private Spaces: The Smart Home
Convincing proof of a clear effect of these monitoring functions on clinical outcome with a large sample size and long-term monitoring is still lacking. Expand
Delineation of Electrocardiograms Using Multiscale Parameter Estimation
  • N. Spicher, M. Kukuk
  • Computer Science, Medicine
  • IEEE Journal of Biomedical and Health Informatics
  • 2020
A general delineation method based on a solid mathematical framework that treats each heartbeat, wave and fiducial point in the same way, tailored only by intuitive parameters and not relying on any heuristically found decision rules is proposed. Expand