Motion artefact management for soft bioelectronics

J Yin, S Wang, T Tat, J Chen - Nature Reviews Bioengineering, 2024 - nature.com
Soft bioelectronic devices can be interfaced with anatomically curved organs, such as the
heart, brain and skin, to provide continuous analysis of physiological information. However …

Time-frequency techniques in biomedical signal analysis

M Wacker, H Witte - Methods of information in medicine, 2013 - thieme-connect.com
Objectives: This review outlines the method-ological fundamentals of the most frequently
used non-parametric time-frequency analysis techniques in biomedicine and their main …

An EEG-based attentiveness recognition system using Hilbert–Huang transform and support vector machine

CJ Peng, YC Chen, CC Chen, SJ Chen… - Journal of Medical and …, 2020 - Springer
Purpose Attentiveness recognition benefits the detection of the mental state and
concentration when humans perform specific tasks. Hilbert–Huang transform (HHT) is useful …

A fast EEG forecasting algorithm for phase-locked transcranial electrical stimulation of the human brain

F Mansouri, K Dunlop, P Giacobbe, J Downar… - Frontiers in …, 2017 - frontiersin.org
A growing body of research suggests that non-invasive electrical brain stimulation can more
effectively modulate neural activity when phase-locked to the underlying brain rhythms …

Time-series prediction of the oscillatory phase of EEG signals using the least mean square algorithm-based AR model

A Shakeel, T Tanaka, K Kitajo - Applied Sciences, 2020 - mdpi.com
Neural oscillations are vital for the functioning of a central nervous system because they
assist in brain communication across a huge network of neurons. Alpha frequency …

Spectral denoising based on Hilbert–Huang transform combined with F-test

X Bian, M Ling, Y Chu, P Liu, X Tan - Frontiers in Chemistry, 2022 - frontiersin.org
Due to the influence of uncontrollable factors such as the environment and instruments,
noise is unavoidable in a spectral signal, which may affect the spectral resolution and …

AIoT-enabled rehabilitation recognition system—exemplified by hybrid lower-limb exercises

YC Lai, YC Kan, YC Lin, HC Lin - Sensors, 2021 - mdpi.com
Ubiquitous health management (UHM) is vital in the aging society. The UHM services with
artificial intelligence of things (AIoT) can assist home-isolated healthcare in tracking …

Comparison of FFT and marginal spectra of EEG using empirical mode decomposition to monitor anesthesia

SJ Chen, CJ Peng, YC Chen, YR Hwang, YS Lai… - Computer methods and …, 2016 - Elsevier
Background and objective Intraoperative awareness refers that patients can recall aspects of
their surgery after being put under general anesthesia. This distressing complication causes …

The profiles of non-stationarity and non-linearity in the time series of resting-state brain networks

S Guan, R Jiang, H Bian, J Yuan, P Xu… - Frontiers in …, 2020 - frontiersin.org
The linearity and stationarity of fMRI time series need to be understood due to their important
roles in the choice of approach for brain network analysis. In this paper, we investigated the …

Advanced mobile communication techniques in the fight against the COVID-19 pandemic era and beyond: An overview of 5G/B5G/6G

CF Lin, SH Chang - Sensors, 2023 - mdpi.com
The coronavirus disease 2019 (COVID-19) pandemic has severely affected people's lives
worldwide in an unexpected manner. According to the World Health Organization (WHO) …