[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals
Background and objective Epilepsy is a prevalent disorder that affects the central nervous
system, causing seizures. In the current study, a novel algorithm is developed using …
system, causing seizures. In the current study, a novel algorithm is developed using …
Optimization of cnn using modified honey badger algorithm for sleep apnea detection
Sleep Apnea (SA) is the most prevalent breathing sleep problem, and if left untreated, it can
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
Heart rate variability and obstructive sleep apnea: Current perspectives and novel technologies
S Ucak, HU Dissanayake, K Sutherland… - Journal of sleep …, 2021 - Wiley Online Library
Obstructive sleep apnea (OSA) is a highly prevalent condition, resulting in recurrent hypoxic
events, sleep arousal, and daytime sleepiness. Patients with OSA are at an increased risk of …
events, sleep arousal, and daytime sleepiness. Patients with OSA are at an increased risk of …
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Sleep apnea causes frequent cessation of breathing during sleep. Feature extraction
approaches play a key role in the performance of apnea detection algorithms that use single …
approaches play a key role in the performance of apnea detection algorithms that use single …
Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal
Background and objective: This paper addresses the automated recognition of obstructive
sleep apnea (OSA) from the analysis of single-lead ECG signals. This is one of the most …
sleep apnea (OSA) from the analysis of single-lead ECG signals. This is one of the most …
Automatic detection of sleep apnea from single-lead ECG signal using enhanced-deep belief network model
PK Tyagi, D Agrawal - Biomedical Signal Processing and Control, 2023 - Elsevier
Sleep apnea (SLA) is a commonly reported sleep disorder that is characterized by frequent
breathing interruptions during sleep. In recent years, various approaches have been made …
breathing interruptions during sleep. In recent years, various approaches have been made …
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis
Sleep apnea is a sleep related pathology in which breathing or respiratory activity of an
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
individual is obstructed, resulting in variations in the cardio-pulmonary (CP) activity. The …
Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
Motivation and objective Obstructive sleep apnea (OSA) is a sleep disorder identified in
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …