End-to-end sleep apnea detection using single-lead ECG signal and 1-D residual neural networks

RV Sharan, S Berkovsky, H Xiong, E Coiera - Journal of Medical and …, 2021 - Springer
Purpose Sleep apnea causes heart rate variability (HRV). HRV can be detected from the
electrocardiography (ECG) signal and descriptors of HRV during sleep have been shown to …

[HTML][HTML] Comparison of hospital-based and home-based obstructive sleep apnoea severity measurements with a single-lead electrocardiogram patch

WT Liu, SY Lin, CY Tsai, YS Liu, WH Hsu, A Majumdar… - Sensors, 2021 - mdpi.com
Obstructive sleep apnoea (OSA) is a global health concern, and polysomnography (PSG) is
the gold standard for assessing OSA severity. However, the sleep parameters of home …

Effective multispike learning in a spiking neural network with a new temporal feedback backpropagation for breast cancer detection

M Heidarian, G Karimi, M Payandeh - Expert Systems with Applications, 2024 - Elsevier
This paper presents an effective learning multi-spike deep spiking neural network with
temporal feedback backpropagation for breast cancer detection using contrast-enhanced …

Stationary wavelet singular entropy based electronic tongue for classification of milk

P Kaushal, R Mudhalwadkar - Transactions of the Institute of …, 2020 - journals.sagepub.com
Electronic tongue mimics human gustatory sensation and is used to characterize and
discriminate beverages and foods. Feature extraction plays a key role in improving the …

Analysis of ecg signal by using an fcn network for automatic diagnosis of obstructive sleep apnea

S Ayashm, M Chehel Amirani, M Valizadeh - Circuits, Systems, and Signal …, 2022 - Springer
Obstructive sleep apnea (OSA) is a sleep disorder in which a person's breathing is
repeatedly interrupted because of airway obstruction. This study presents a fully …

Enhancing multi-class SSVEP classification performance using regularized covariance estimators, spatiotemporal beamforming, and short-time EEG trials

A Zarei, BM Asl - Measurement, 2024 - Elsevier
One of the main challenges in BCI technologies is the problem of poor information transfer
rate (ITR) of BCI systems and its effect on reducing the commands users can give. At the …

An automated method for sleep apnoea detection using HRV

M Karimi Moridani - Journal of Medical Engineering & Technology, 2022 - Taylor & Francis
The purpose of this article is to diagnose respiratory apnoea in order to help the person
avoid further possible risks. In this article, the ECG signal of 70 patients with sleep apnoea in …

Autonomic nervous pattern analysis of trait anxiety

F Kong, W Wen, G Liu, R Xiong, X Yang - Biomedical Signal Processing …, 2022 - Elsevier
High trait anxiety (HTA) causes cognitive control deficit, implicit emotion regulation deficit
and risks of emotional disorders. The current work designed a paradigm for autonomic …

[HTML][HTML] A novel microwave treatment for sleep disorders and classification of sleep stages using multi-scale entropy

D Geng, D Yang, M Cai, L Zheng - Entropy, 2020 - mdpi.com
The aim of this study was to develop an integrated system of non-contact sleep stage
detection and sleep disorder treatment for health monitoring. Hence, a method of brain …

[HTML][HTML] A novel approach to automatic sleep stage classification using forehead electrophysiological signals

H Guo, Y Di, X An, Z Wang, D Ming - Heliyon, 2022 - cell.com
Background Sleep stage scoring is very important for the effective diagnosis and
intervention of sleep disorders. However, the current automatic sleep staging methods …