The future of healthcare internet of things: a survey of emerging technologies
The impact of the Internet of Things (IoT) on the advancement of the healthcare industry is
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: A survey, current challenges and future directions
Abstract Since its inception, Healthcare 4.0 has empowered the integration of advanced
technologies to create and improve the quality of healthcare services. The delivery of …
technologies to create and improve the quality of healthcare services. The delivery of …
Compressed sensing approach for physiological signals: A review
The immense progress in physiological signal acquisition and processing in health
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
[PDF][PDF] Architecture, Protocols, and Applications of the Internet of Medical Things (IoMT).
NA Askar, A Habbal, AH Mohammed, MS Sajat… - J. Commun., 2022 - researchgate.net
1 Department of Computer Engineering, Faculty of Engineering, Karabuk University,
Karabuk, Turkey 2School of Computing, Universiti Utara Malaysia, Kedah, Malaysia 3 …
Karabuk, Turkey 2School of Computing, Universiti Utara Malaysia, Kedah, Malaysia 3 …
Exploring fault-energy trade-offs in approximate DNN hardware accelerators
Systolic array-based deep neural network (DNN) accelerators have recently gained
prominence for their low computational cost. However, their high energy consumption poses …
prominence for their low computational cost. However, their high energy consumption poses …
Optimizing real-time ecg data transmission in constrained environments
H Ouda, A Badr, A Rashwan… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
ECG monitoring systems have a significant role in detecting cardiovascular diseases and
reducing the rate of sudden cardiac deaths. One of the critical factors to support real-time …
reducing the rate of sudden cardiac deaths. One of the critical factors to support real-time …
Moving Target Defense Through Approximation for Low-Power Neuromorphic Edge Intelligence
A Siddique, KA Hoque - IEEE Transactions on Computer-Aided …, 2023 - ieeexplore.ieee.org
Neuromorphic intelligence is driven by spiking neural networks (SNNs) to achieve high
algorithmic performance. However, similar to artificial neural networks (ANNs), SNNs are …
algorithmic performance. However, similar to artificial neural networks (ANNs), SNNs are …
Adaptive window based sampling on the edge for Internet of Things data streams
The Internet of Things (IoT) generates a massive amount of data. To relieve the pressure
placed on cloud and network services, sampling techniques have been applied to remove …
placed on cloud and network services, sampling techniques have been applied to remove …
Abnormal ECG Detection in Wearable Devices Using Compressed Learning
The electrocardiogram (ECG) is a broadly used diagnostic tool for assessing heart
functionality. However, ECG data can be large and difficult to transmit or store. The concept …
functionality. However, ECG data can be large and difficult to transmit or store. The concept …
ApproxCT: Approximate clustering techniques for energy efficient computer vision in cyber-physical systems
RH Javed, A Siddique, R Hafiz… - … Conference on Open …, 2018 - ieeexplore.ieee.org
The emerging trends in miniaturization of Internet of Things (IoT) have highly empowered
the Cyber-Physical Systems (CPS) for many social applications especially, medical imaging …
the Cyber-Physical Systems (CPS) for many social applications especially, medical imaging …