Nanomaterial-based aptamer sensors for arsenic detection

K Mao, H Zhang, Z Wang, H Cao, K Zhang, X Li… - Biosensors and …, 2020 - Elsevier
Arsenic (As) is a highly toxic contaminant in the environment and a serious carcinogen for
the human being. The toxicity of arsenic significantly threatens environmental and human …

E-health practices and technologies: a systematic review from 2014 to 2019

MH Da Fonseca, F Kovaleski, CT Picinin, B Pedroso… - Healthcare, 2021 - mdpi.com
E-health can be defined as a set of technologies applied with the help of the internet, in
which healthcare services are provided to improve quality of life and facilitate healthcare …

An efficient compression of ECG signals using deep convolutional autoencoders

O Yildirim, R San Tan, UR Acharya - Cognitive Systems Research, 2018 - Elsevier
Background and objective Advances in information technology have facilitated the retrieval
and processing of biomedical data. Especially with wearable technologies and mobile …

Cybersecurity and privacy solutions in smart cities

R Khatoun, S Zeadally - IEEE Communications Magazine, 2017 - ieeexplore.ieee.org
The increasing proliferation and deployment of ICT in the infrastructure of cities has
increased interest in smart cities. The long-term objective of a smart city is to enhance the …

A hybrid data compression scheme for power reduction in wireless sensors for IoT

CJ Deepu, CH Heng, Y Lian - IEEE transactions on biomedical …, 2016 - ieeexplore.ieee.org
This paper presents a novel data compression and transmission scheme for power
reduction in Internet-of-Things (IoT) enabled wireless sensors. In the proposed scheme, data …

Enhancing cyber–physical systems with hybrid smart city cyber security architecture for secure public data-smart network

S Sengan, V Subramaniyaswamy, SK Nair… - Future generation …, 2020 - Elsevier
Smart City (SC) is an upcoming concept incorporating 'Digitalized Associated City'and city
organization with the help of Information and Communication Technology (ICT). This novel …

Energy-efficient intelligent ECG monitoring for wearable devices

N Wang, J Zhou, G Dai, J Huang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real
time and send out alert signal together with abnormal ECG signal for doctor's further …

Energy-efficient IoT-health monitoring system using approximate computing

A Ghosh, A Raha, A Mukherjee - Internet of Things, 2020 - Elsevier
Abstract Wireless Body Sensor Nodes (WBSN) are frequently used for real time IoT-based
health monitoring of patients outside the hospital environment. These WBSNs involve bio …

A novel Blaschke unwinding adaptive-Fourier-decomposition-based signal compression algorithm with application on ECG signals

C Tan, L Zhang, H Wu - IEEE journal of biomedical and health …, 2018 - ieeexplore.ieee.org
This paper presents a novel signal compression algorithm based on the Blaschke
unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly …

Empirical mode decomposition and wavelet transform based ECG data compression scheme

CK Jha, MH Kolekar - Irbm, 2021 - Elsevier
Objective In health-care systems, compression is an essential tool to solve the storage and
transmission problems. In this regard, this paper reports a new electrocardiogram (ECG) …