Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
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 slee**. This reduction in …
apnea may last for a few seconds and happen for many while slee**. This reduction in …
[HTML][HTML] Efficient ECG classification based on Chi-square distance for arrhythmia detection
This study introduces a new classifier tailored to address the limitations inherent in
conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision …
conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision …
[HTML][HTML] Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost
importance to be able to efficiently diagnose these arrhythmias promptly. There exist many …
importance to be able to efficiently diagnose these arrhythmias promptly. There exist many …
Automated sleep scoring system using multi-channel data and machine learning
Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …
[HTML][HTML] DCDA-Net: dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms
Obstructive sleep apnea (OSA) is a breathing-related chronic disease in which the soft
palate and tongue collapse and block the upper airway for at least 10 s during sleep. It can …
palate and tongue collapse and block the upper airway for at least 10 s during sleep. It can …
Application of LightGBM hybrid model based on TPE algorithm optimization in sleep apnea detection
X **ong, A Wang, J He, C Wang, R Liu, Z Sun… - Frontiers in …, 2024 - frontiersin.org
Introduction Sleep apnoea syndrome (SAS) is a serious sleep disorder and early detection
of sleep apnoea not only reduces treatment costs but also saves lives. Conventional …
of sleep apnoea not only reduces treatment costs but also saves lives. Conventional …
An adaptive sleep apnea detection model using multi cascaded atrous-based deep learning schemes with hybrid artificial humming bird pity beetle algorithm
Obstructive Sleep Apnea (OSA) is the cessation in breathing that must be identified as early
as possible to save the patient's life. Apart from physical diagnosis, a deep learning model …
as possible to save the patient's life. Apart from physical diagnosis, a deep learning model …
rECGnition_v1. 0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG
A substantial amount of variability in ECG manifested due to patient characteristics hinders
the adoption of automated analysis algorithms in clinical practice. None of the ECG …
the adoption of automated analysis algorithms in clinical practice. None of the ECG …
Systematic Review of Diagnostic Modalities for Sleep Apnea: A Comprehensive Analysis
Sleep apnea is a prevalent sleep condition where a person experiences frequent
interruptions in breathing during their sleep. Which can lead to decreased oxygen levels and …
interruptions in breathing during their sleep. Which can lead to decreased oxygen levels and …
Fuzzy approximate entropy of Extrema based on multiple moving averages as a Novel Approach in Obstructive Sleep Apnea Screening
Objective: Obstructive sleep apnea (OSA) is a respiratory disease associated with
autonomic nervous system dysfunction. As a novel method for analyzing OSA depending on …
autonomic nervous system dysfunction. As a novel method for analyzing OSA depending on …