Accurate heart rate monitoring during physical exercises using PPG

A Temko - IEEE Transactions on Biomedical Engineering, 2017 - ieeexplore.ieee.org
Objective: The challenging task of heart rate (HR) estimation from the
photoplethysmographic (PPG) signal, during intensive physical exercises, is tackled in this …

A two-step weighting regularization method for stochastic excitation identification under multi-source uncertainties based on response superposition-decomposition …

Y Liu, L Wang - Mechanical Systems and Signal Processing, 2023 - Elsevier
Excitation identification has received considerable attention because of its importance in
safety assessment and structural design. This paper proposed a power spectral density …

On the development of STFT-analysis and ISTFT-synthesis routines and their practical implementation

H Zhivomirov - TEM Journal, 2019 - ceeol.com
This work introduces the development of two software routines for Short-Time Fourier
Transform (STFT) and Inverse Short-Time Fourier Transform (ISTFT) along with know-how …

A blind scene-based watermarking for video copyright protection

M Masoumi, S Amiri - AEU-International Journal of Electronics and …, 2013 - Elsevier
Due to the replicable nature of video many illegal copies of the original video can be made.
So it demands to deliver methods for preventing illegal copying. This paper identifies a new …

Estimation of heart rate from photoplethysmography during physical exercise using Wiener filtering and the phase vocoder

A Temko - 2015 37th annual international conference of the …, 2015 - ieeexplore.ieee.org
A system for estimation of the heart rate (HR) from the photoplethysmographic (PPG) signal
during intensive physical exercises is presented. The Wiener filter is used to attenuate the …

[HTML][HTML] Development of a method for determining the wear of artillery barrels by acoustic fields of shots

E Dobrynin, M Maksymov… - Восточно-Европейский …, 2020 - cyberleninka.ru
ДослИджено можливкть ощнки pieun зносу стволiв артилершських гармат за
акустичними полями постр1тв. Незважаючи на важливкть знання поточного стану …

Detection and denoising of microseismic events using time–frequency representation and tensor decomposition

N Iqbal, E Liu, JH McClellan, A Al-Shuhail… - IEEE …, 2018 - ieeexplore.ieee.org
Reliable detection and recovery of a microseismic event in large volume of passive
monitoring data is usually a challenging task due to the low signal-to-noise ratio …

An intelligent phonocardiography for automated screening of pediatric heart diseases

AA Sepehri, A Kocharian, A Janani… - Journal of medical …, 2016 - Springer
This paper presents a robust device for automated screening of pediatric heart diseases
based on our unique processing method in murmur characterization; the Arash-Band …

Kernel autoregressive models using Yule–Walker equations

M Kallas, P Honeine, C Francis, H Amoud - Signal Processing, 2013 - Elsevier
This paper proposes nonlinear autoregressive (AR) models for time series, within the
framework of kernel machines. Two models are investigated. In the first proposed model, the …

A novel method for screening children with isolated bicuspid aortic valve

A Gharehbaghi, T Dutoit, AA Sepehri… - Cardiovascular …, 2015 - Springer
This paper presents a novel processing method for heart sound signal: the statistical time
growing neural network (STGNN). The STGNN performs a robust classification by merging …