A review on computation methods used in photoplethysmography signal analysis for heart rate estimation
Photoplethysmography (PPG) sensor-enabled wearable health monitoring devices can
monitor realtime health status. PPG technology is a low-cost, noninvasive optical method …
monitor realtime health status. PPG technology is a low-cost, noninvasive optical method …
Least mean squares and recursive least squares algorithms for total harmonic distortion reduction using shunt active power filter control
This paper deals with the use of least mean squares (LMS, NLMS) and recursive least
squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active …
squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active …
Widely Linear Adaptive Filtering Based on Clifford Geometric Algebra: A unified framework [Hypercomplex Signal and Image Processing]
W Wang, K Doğançay - IEEE Signal Processing Magazine, 2024 - ieeexplore.ieee.org
In this article, we present a powerful unifying framework for widely linear (WL) adaptive filters
building on the concept of geometric algebra (GA), including recently proposed complex …
building on the concept of geometric algebra (GA), including recently proposed complex …
RSS localization using an optimized fusion of two deep neural networks
The problem of received signal strength (RSS) source localization in wireless sensor
networks has raised attention in recent years due to its low complexity. However, the …
networks has raised attention in recent years due to its low complexity. However, the …
A new combined-step-size normalized least mean square algorithm for cyclostationary inputs
For cyclostationary input signals, the normalized least mean square (NLMS) algorithm
suffers from large steady-state errors. The average mean square deviation (MSD) analysis of …
suffers from large steady-state errors. The average mean square deviation (MSD) analysis of …
Affine combination of diffusion strategies over networks
Diffusion adaptation is a powerful strategy for distributed estimation and learning over
networks. Motivated by the concept of combining adaptive filters, this work proposes a …
networks. Motivated by the concept of combining adaptive filters, this work proposes a …
Weighted diffusion continuous mixed p-norm algorithm for distributed estimation in non-uniform noise environment
This paper presents weighted diffusion least mean p-power (LMP) algorithm for distributed
estimation of an unknown sparse vector in a sensor network. We consider a network, in …
estimation of an unknown sparse vector in a sensor network. We consider a network, in …
Heart rate estimation from wrist-type photoplethysmography signals during physical exercise
KR Arunkumar, M Bhaskar - Biomedical Signal Processing and Control, 2020 - Elsevier
Wearable devices, such as smart watch use photoplethysmography (PPG) signals for
estimating heart rate (HR). The motion artifacts (MA) contained in these PPG signals lead to …
estimating heart rate (HR). The motion artifacts (MA) contained in these PPG signals lead to …
Heart rate estimation from photoplethysmography signal for wearable health monitoring devices
KR Arunkumar, M Bhaskar - Biomedical Signal Processing and Control, 2019 - Elsevier
Wearable wrist type health monitoring devices use photoplethysmography (PPG) signal to
estimate heart rate (HR). The HR estimation from these devices becomes difficult due to the …
estimate heart rate (HR). The HR estimation from these devices becomes difficult due to the …
Distributed universal adaptive networks
CG Lopes, VH Nascimento… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Adaptive networks (ANs) are effective real time techniques to process and track events
observed by sensor networks and, more recently, to equip Internet of Things (IoT) …
observed by sensor networks and, more recently, to equip Internet of Things (IoT) …