Automatic cardiac arrhythmia classification using combination of deep residual network and bidirectional LSTM

R He, Y Liu, K Wang, N Zhao, Y Yuan, Q Li… - IEEE …, 2019 - ieeexplore.ieee.org
Cardiac arrhythmia is associated with abnormal electrical activities of the heart, which can
be reflected by altered characteristics of electrocardiogram (ECG). Due to the simplicity and …

Eigenpairs of a family of tridiagonal matrices: three decades later

CM Da Fonseca, V Kowalenko - Acta Mathematica Hungarica, 2020 - Springer
This survey paper summarizes the more important recent applications of the eigenpairs
formulas for a family of tridiagonal matrices based on Losonczi's seminal work of almost …

High-performance personalized heartbeat classification model for long-term ECG signal

P Li, Y Wang, J He, L Wang, Y Tian… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …

Spintronic sensors based on magnetic tunnel junctions for wireless eye movement gesture control

A Tanwear, X Liang, Y Liu, A Vuckovic… - … Circuits and Systems, 2020 - ieeexplore.ieee.org
The tracking of eye gesture movements using wearable technologies can undoubtedly
improve quality of life for people with mobility and physical impairments by using spintronic …

Silent speech decoding using spectrogram features based on neuromuscular activities

Y Wang, M Zhang, RM Wu, H Gao, M Yang, Z Luo, G Li - Brain sciences, 2020 - mdpi.com
Silent speech decoding is a novel application of the Brain–Computer Interface (BCI) based
on articulatory neuromuscular activities, reducing difficulties in data acquirement and …

Forward-backward filtering and penalized least-squares optimization: A unified framework

AK Roonizi, C Jutten - Signal Processing, 2021 - Elsevier
The paper proposes a framework for unification of the penalized least-squares optimization
(PLSO) and forward-backward filtering scheme. It provides a mathematical proof that forward …

Band-stop smoothing filter design

AK Roonizi, C Jutten - IEEE Transactions on Signal Processing, 2021 - ieeexplore.ieee.org
Smoothness priors and quadratic variation (QV) regularization are widely used techniques
in many applications ranging from signal and image processing, computer vision, pattern …

Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series

M Bahaz, R Benzid - Australasian physical & engineering sciences in …, 2018 - Springer
Electrocardiogram (ECG) signals are often contaminated with artefacts and noises which
can lead to incorrect diagnosis when they are visually inspected by cardiologists. In this …

Speech neuromuscular decoding based on spectrogram images using conformal predictors with Bi-LSTM

Y Wang, M Zhang, R Wu, H Wang, Z Luo, G Li - Neurocomputing, 2021 - Elsevier
The relationships between muscle movements and neural signals make it possible to
decode silent speech based on neuromuscular activities. The decoding can be formulated …

Non-specific low back pain: an inductive exploratory analysis through factor analysis and deep learning for better clustering

L Robinault, IK Niazi, N Kumari, I Amjad, V Menard… - Brain Sciences, 2023 - mdpi.com
Non-specific low back pain (NSLBP) is a significant and pervasive public health issue in
contemporary society. Despite the widespread prevalence of NSLBP, our understanding of …