Non-invasive Blood Pressure Monitoring Using A Single-channel PPG Sensor with Adaptive Kalman Algorithm and 4-LED Arrayed Structure
W Shi, L Dong, J Cheng, Y Mu, C Yue… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Recently, the pulse wave transit time (PTT) method for Non-Invasive blood pressure (NIBP)
monitoring based on single-channel photoplethysmography (PPG) signal has attracted …
monitoring based on single-channel photoplethysmography (PPG) signal has attracted …
Bayesian shrinkage wavelet estimation of mean matrix of the matrix variate normal distribution with application in de-noising
Z Batvandi, M Afshari, H Karamikabir - Computational and Applied …, 2025 - Springer
Suppose that the random matrix\({\textbf {X}} _ {p\times m}\) has a matrix variate normal
distribution with the mean matrix\(\varvec {\Theta}\) and covariance matrix\({{\varvec …
distribution with the mean matrix\(\varvec {\Theta}\) and covariance matrix\({{\varvec …
Low and high dimensional wavelet thresholds for matrix-variate normal distribution
H Karamikabir, A Sanati… - … in Statistics-Simulation and …, 2024 - Taylor & Francis
The matrix-variate normal distribution is a probability distribution that is a generalization of
the multivariate normal distribution to matrix-valued random variables. In this paper, we …
the multivariate normal distribution to matrix-valued random variables. In this paper, we …
Wavelet Shrinkage Estimation for Mean Matrix of Matrix-Variate Elliptically Contoured Distributions
H Karamikabir - Journal of Statistical Theory and Practice, 2024 - Springer
Finding the appropriate threshold is one of the most important issues in the wavelet
shrinkage method. Especially when the goal is to estimate the mean matrix parameter for …
shrinkage method. Especially when the goal is to estimate the mean matrix parameter for …