Authentication techniques and methodologies used in wireless body area networks

M Hussain, A Mehmood, S Khan, MA Khan… - Journal of Systems …, 2019 - Elsevier
Wireless body area network (WBAN), got the IEEE standard in February 2012, is the most
significant and highly focused research area among researchers, academicians, and …

Robust PPG motion artifact detection using a 1-D convolution neural network

CH Goh, LK Tan, NH Lovell, SC Ng, MP Tan… - Computer methods and …, 2020 - Elsevier
Background and objectives Continuous monitoring of physiological parameters such as
photoplethysmography (PPG) has attracted increased interest due to advances in wearable …

Convolutional neural network-based human activity recognition for edge fitness and context-aware health monitoring devices

N Phukan, S Mohine, A Mondal… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The vital signs can vary significantly depending on the daily physical activities, which may
not be due to defects of the organs. Under remote human health-monitoring applications, for …

A robust pulse onset and peak detection method for automated PPG signal analysis system

S Vadrevu, MS Manikandan - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Accurate determination of pulse onset and peak is important in many photoplethysmogram
(PPG) signal analysis applications. This paper presents a new automatic robust pulse onset …

Automatic detection of aortic valve opening using seismocardiography in healthy individuals

T Choudhary, LN Sharma… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Accurate detection of fiducial points in a seismocardiogram (SCG) is a challenging research
problem for its clinical application. In this paper, an automated method for detecting aortic …

Flexible and efficient authenticated key agreement scheme for BANs based on physiological features

W Tang, K Zhang, J Ren, Y Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In Body Area Networks (BANs), bio-sensors can collect personal health information and
cooperate with each other to provide intelligent health care services for medical users. Since …

End-to-end photopleth YsmographY (PPG) based biometric authentication by using convolutional neural networks

J Luque, G Cortes, C Segura… - 2018 26th European …, 2018 - ieeexplore.ieee.org
Whilst research efforts have traditionally focused on Electrocardiographic (ECG) signals and
handcrafted features as potential biometric traits, few works have explored systems based …

Real-time quality-aware PPG waveform delineation and parameter extraction for effective unsupervised and IoT health monitoring systems

S Vadrevu, MS Manikandan - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
In this paper, we present a real-time quality-aware pulse waveform delineation and
parameter extraction method for accurate and reliable measurements of pulse parameters …

Security and usability of a personalized user authentication paradigm: Insights from a longitudinal study with three healthcare organizations

A Constantinides, M Belk, C Fidas, R Beumers… - ACM Transactions on …, 2023 - dl.acm.org
This article proposes a user-adaptable and personalized authentication paradigm for
healthcare organizations, which anticipates to seamlessly reflect patients' episodic and …

Dual-factor wban enhanced authentication system based on iris and ecg descriptors

D Jiang, G Zhang, OW Samuel, F Liu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
At present, COVID-19 is still spreading and affecting millions of people worldwide.
Minimizing the need for travel can significantly reduce the probability of infection and …