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A proof-of-concept of ultra-edge smart IoT sensor: A continuous and lightweight arrhythmia monitoring approach
Due to the proliferation of the Internet of Things (IoT), the IoT devices are becoming utilized
at the edge network at a much higher rate. Conventionally, the IoT devices lack the …
at the edge network at a much higher rate. Conventionally, the IoT devices lack the …
Migrating intelligence from cloud to ultra-edge smart IoT sensor based on deep learning: An arrhythmia monitoring use-case
Traditionally, the Internet of Things (IoT) devices, deployed on the ultra-edge of the network,
lack computation, and energy resources. In this paper, we press on the need to go beyond …
lack computation, and energy resources. In this paper, we press on the need to go beyond …
Harnessing artificial intelligence for secure ECG analytics at the edge for cardiac arrhythmia classification
With the rapid development of smart Internet of Things (IoT) devices, the security of private
health data from unauthorized access is a significant concern. Although cloud-based …
health data from unauthorized access is a significant concern. Although cloud-based …
First ce matters: On the importance of long term properties on memory failure prediction
Dynamic random access memory failures are a threat to the reliability of data centres as they
lead to data loss and system crashes. Timely predictions of memory failures allow for taking …
lead to data loss and system crashes. Timely predictions of memory failures allow for taking …
On the applicability of time series features as health indicators for technical systems operating under varying conditions
OK Aimiyekagbon, A Bender… - Proceedings of the …, 2021 - ris.uni-paderborn.de
Several methods, including order analysis, wavelet analysis and empirical mode
decomposition have been proposed and successfully employed for the health state …
decomposition have been proposed and successfully employed for the health state …
The classification of heartbeats from two-channel ECG signals using layered hidden markov model
A Sadoughi, MB Shamsollahi… - Frontiers in Biomedical …, 2022 - fbt.tums.ac.ir
Purpose: Cardiac arrhythmia is one of the most common heart diseases that can have
serious consequences. Thus, heartbeat arrhythmias classification is very important to help …
serious consequences. Thus, heartbeat arrhythmias classification is very important to help …
Towards designing AI-aided lightweight solutions for key challenges in sensing, communication and computing layers of IoT: smart health use-cases
S Sakib - 2021 - knowledgecommons.lakeheadu.ca
The advent of the 5G and Beyond 5G (B5G) communication system, along with the
proliferation of the Internet of Things (IoT) and Artificial Intelligence (AI), have started to …
proliferation of the Internet of Things (IoT) and Artificial Intelligence (AI), have started to …