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Compressive sensing-based IoT applications: A review
(
MDPI AG
, 2018 , Article Review)
The Internet of Things (IoT) holds great promises to provide an edge cutting technology that enables numerous innovative services related to healthcare, manufacturing, smart cities and various human daily activities. In a ...
Design and Performance Evaluation of a Committee Machine for Gas Identification
(
Springer
, 2018 , Book chapter)
Selecting the best classifier plays a significant role in the current electronic nose systems that can be deployed for gas applications. For this purpose, this paper presents an empirical study on the performance of three ...
IoT Based Compressive Sensing for ECG Monitoring
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
The Internet of Things (IoT) has empowered several sets of applications related to remote monitoring for patients with chronic cardiovascular diseases, where, electrocardiogram (ECG) monitoring has been widely studied and ...
Joint sparsity recovery for compressive sensing based EEG system
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
The last decade has witnessed tremendous efforts to shape the internet of thing (IoT) platforms to be well suited for healthcare applications. These applications involve the deployment of remote monitoring platforms to ...
Managing criticalities of e-health IoT systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Lately, Internet-based solutions, brought by the Internet of Things (IoT) and cloud computation and storage technologies, have been driving revolutionary approaches in innumerable domains, including the sensitive domain ...
QRS Complexes Classification Using Dictionary Learning and Pietra Index
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In this study, an algorithm for arrhythmia classification that conforms to the recommended practice by the Association for the Advancement of Medical Instrumentation (AAMI) is presented. Our approach efficiently exploits ...
System-on-chip solution for patients biometric: A compressive sensing-based approach
(
Institute of Electrical and Electronics EngineersInc.
, 2018 , Article)
The ever-increasing demand for biometric solutions for the Internet-of-Things (IoT)-based connected health applications is mainly driven by the need to tackle fraud issues, along with the imperative to improve patient ...
Efficient hardware implementation of the ?1-Regularized least squares for IoT edge computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
As the use of compressed sensing (CS) in internet of things (IoT) wearable nodes increases, the need for high performance and low power CS reconstruction algorithms for the battery powered IoT Edge Devices also increases. ...
The accuracy and efficacy of real-time compressed ECG signal reconstruction on a heterogeneous multicore edge-device
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Typical real-time remote health monitoring architectures consist of wearable medical devices continuously transmitting physiological signals to a nearby gateway which routes the data to an remote internet of things ...
An interactive software tool for gas identification
(
Elsevier B.V.
, 2018 , Article)
This paper presents the design of an interactive graphical user interface (GUI) to monitor and quantify a developed electronic nose (EN) platform for gas identification. To this end, an EN system has been implemented using ...