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Showing 21-40 of 194 results
  1. ECG-derived respiration based on iterated Hilbert transform and Hilbert vibration decomposition

    Monitoring of the respiration using the electrocardiogram (ECG) is desirable for the simultaneous study of cardiac activities and the respiration in...

    Article 17 April 2018
  2. Respiratory Signal Extraction from ECG Signal

    The extraction of respiration from physiological signals such as the electrocardiogram (ECG) and photoplethysmogram (PPG) has been explored for a...
    Chapter 2020
  3. Performance Analysis of Machine Learning Algorithms for Sleep Apnea Detection Using ECG

    Sleep apnea is a sleep disorder in which a slee** person’s breathing is disturbed. Subjects suffering from sleep apnea undergo periods of no or...
    Anita Ramachandran, Atul Kumar Pant, Anupama Karuppiah in Smart Trends in Computing and Communications
    Conference paper 2022
  4. A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing

    Background

    Sleep-disordered breathing (SDB) affects a significant portion of the population. As such, there is a need for accessible and affordable...

    Jiali **e, Pedro Fonseca, ... ** Long in BioMedical Engineering OnLine
    Article Open access 05 May 2024
  5. Nocturnal Arousal Phenomenon and the Autonomic Nervous System

    Electroencephalographic (EEG) arousals are intrusions of wakefulness within sleep. These phasic events occur rarely as isolated phenomena, but appear...
    Chapter 2021
  6. Optimization Technique Used in Biomedical for Qualitative Sleep Analysis

    A good sleep is as important as good nutrition. The intangible nature of sleep makes it difficult to measure and can only be assessed on individual’s...
    Hasina Adil, Mustafa Adil, ... Alok Gupta in Machine Learning and Metaheuristics: Methods and Analysis
    Chapter 2023
  7. Bare-bones based honey badger algorithm of CNN for Sleep Apnea detection

    Sleep Apnea (SA) is a breathing disorder that many people experience during sleep. Polysomnography is the best way to diagnose SA, but it requires...

    Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani in Cluster Computing
    Article 23 February 2024
  8. Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach

    Sleep apnea (SLA) is a respiratory-related sleep disorder that affects a major proportion of the population. The gold standard in sleep testing,...

    Praveen Kumar Tyagi, Dheeraj Agarwal in Biomedical Engineering Letters
    Article 05 July 2023
  9. An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique

    Obstructive Sleep Apnea (OSA) is a crucial sleep-breath disorder often characterized by partial or complete cessation of airflow during sleep. The...

    Prateek Pratyasha, Saurabh Gupta, Gizeaddis Lamesgin Simegn in Sleep and Vigilance
    Article 08 November 2023
  10. Home Sleep Testing of Sleep Apnea

    Measurement methods with graded complexity for use in the lab as well as for home sleep testing (HST) are available for the diagnosis of sleep apnea,...
    Chapter 2022
  11. A principal component analysis based data fusion method for ECG-derived respiration from single-lead ECG

    An ECG-derived respiration (EDR) algorithm based on principal component analysis (PCA) is presented and applied to derive the respiratory signals...

    Yue Gao, Hong Yan, ... **zhong Song in Australasian Physical & Engineering Sciences in Medicine
    Article 19 December 2017
  12. ECG and Heart Rate Variability in Sleep-Related Breathing Disorders

    Here we discuss the current perspectives of comprehensive heart rate variability (HRV) analysis in electrocardiogram (ECG) signals as a non-invasive...
    Hua Qin, Fernando Vaquerizo-Villar, ... Thomas Penzel in Advances in the Diagnosis and Treatment of Sleep Apnea
    Chapter 2022
  13. Technologies for sleep monitoring at home: wearables and nearables

    Sleep is an essential part of our lives and daily sleep monitoring is crucial for maintaining good health and well-being. Traditionally, the gold...

    Heenam Yoon, Sang Ho Choi in Biomedical Engineering Letters
    Article 07 July 2023
  14. Sleep apnea detection from ECG signal using deep CNN-based structures

    In this paper, transfer learning is used for the adaptation of pre-trained deep convolutional neural networks (DCNNs) to find the best appropriate...

    Ahmad Ayatollahi, Sajjad Afrakhteh, ... Ehsan Saleh in Evolving Systems
    Article 22 June 2022
  15. Sleep quality, sleep apnea, and metabolic health in children treated with adenotonsillectomy

    Purpose

    The aim of this study was to determine if cardiopulmonary coupling (CPC) calculated sleep quality (SQI) may predict changes in metabolic...

    Solveig Magnusdottir, Manisha Witmans, Hugi Hilmisson in Sleep and Breathing
    Article 24 November 2022
  16. Automatic sleep staging by cardiorespiratory signals: a systematic review

    Background

    Because of problems with the recording and analysis of the EEG signal, automatic sleep staging using cardiorespiratory signals has been...

    Farideh Ebrahimi, Iman Alizadeh in Sleep and Breathing
    Article 29 July 2021
  17. Association between distinct co** styles and heart rate variability changes to an acute psychosocial stress task

    Modern life comprises a myriad of stressful situations, ranging from life-threatening ones to others not so deadly, all of which activate a...

    Arthur Viana Machado, Mirtes Garcia Pereira, ... Izabela Mocaiber in Scientific Reports
    Article Open access 15 December 2021
  18. An ECG-Derived Respiration Method Based on Signal Reconstruction of R, S Amplitudes and Filtering

    An ECG-derived respiration (EDR) algorithm based on signal reconstruction and filtering is presented and applied to derive the respiratory signals...
    Yue Gao, Hong Yan, ... Meng **ao in Man–Machine–Environment System Engineering
    Conference paper 2018
  19. Obstructive Sleep Apnea Severity Detection Using Pan–Tompkins Algorithm and Fisher Feature Selection

    Obstructive sleep apnea (OSA) is a typical rest problem brought by strange relaxation on breathing. The seriousness of OSA can prompt numerous...
    Conference paper 2022
  20. Stress emotion recognition with discrepancy reduction using transfer learning

    Stress management is critical for forecasting stress levels and identifying the impact of stress on a person’s socioeconomic life. For effective...

    Prasannavenkatesan Theerthagiri in Multimedia Tools and Applications
    Article 01 August 2022
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