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Article
Open AccessCompression of electrocardiogram signals using compressive sensing technique based on curvelet transform toward medical applications
Electrocardiogram (ECG) signals can be monitored from many patients based on healthcare systems. To enhance these systems, the ECG signals should be collected and then stored in a cloud platform for later anal...
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Article
ECG signals compression using dynamic compressive sensing technique toward IoT applications
This paper provides a novel compressive sensing (CS) technique to compress electrocardiogram (ECG) signals. The proposed technique extends a dynamic compressed sensing method, originally based on a single lead...
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Article
Automatic modulation recognition using CNN deep learning models
Modulation techniques are widely required in communication applications, especially in wireless communication systems. Thus, it is necessary to classify and recognize types of modulation. Deep learning (DL) mo...
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Article
Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
There are several factors for vehicle accidents during driving such as drivers’ negligence, drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time. Moreover, recent developments...
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Article
Open AccessRecognition of human activity using GRU deep learning algorithm
Human activity recognition (HAR) is a challenging issue in several fields, such as medical diagnosis. Recent advances in the accuracy of deep learning have contributed to solving the HAR issues. Thus, it is ne...
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Article
Open AccessA Survey on Smart Wearable Devices for Healthcare Applications
This paper introduces a survey on recent smart wearable devices used in different fields, especially healthcare applications. A discussion is presented in terms of power supply, wireless technologies, applicat...
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Chapter and Conference Paper
Critical Assessment of Current State of the Art in Wearable Sensor Nodes with Energy Harvesting Systems for Healthcare Applications
This paper presents recent advances of different architectures of wearable sensor nodes for healthcare monitoring applications, and pays special attention to three examples. The first node examined was origina...
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Chapter and Conference Paper
Human Activity Recognition Using K-Nearest Neighbor Machine Learning Algorithm
Smart factory in the era of Industry 4.0 requires humans to have continuous communication capabilities among each other’s and with the existing smart assets in order to integrate their activities into a cyber-...
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Article
On Architecture of Self-Sustainable Wearable Sensor Node for IoT Healthcare Applications
In healthcare applications, the remote monitoring of moving patients depends on wearable nodes that should be mobile. Thus, wearable nodes should be power mains-disconnected most of the time to enable natural ...
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Article
A Self-powered Wearable Wireless Sensor System Powered by a Hybrid Energy Harvester for Healthcare Applications
In this paper, a wearable medical sensor system is designed for long-term healthcare applications. This system is used for monitoring temperature, heartbeat, blood oxygen saturation (SpO2), and the acceleration o...
