Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends
Sleep apnea (SA) is characterized by intermittent episodes of apnea or hypopnea paused or
reduced breathing, respectively each lasting at least ten seconds that occur during sleep. SA …
reduced breathing, respectively each lasting at least ten seconds that occur during sleep. SA …
[HTML][HTML] Technologic advances in the assessment and management of obstructive sleep apnoea beyond the apnoea-hypopnoea index: a narrative review
AM O'Mahony, JF Garvey… - Journal of Thoracic …, 2020 - ncbi.nlm.nih.gov
Obstructive sleep apnoea (OSA) is a growing and serious worldwide health problem with
significant health and socioeconomic consequences. Current diagnostic testing strategies …
significant health and socioeconomic consequences. Current diagnostic testing strategies …
Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis
The heartbeat interval (HBI) signal (RR-time series), and electrocardiogram (ECG) derived
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …
Machine learning assisted wearable wireless device for sleep apnea syndrome diagnosis
Sleep apnea syndrome (SAS) is a common but underdiagnosed health problem related to
impaired quality of life and increased cardiovascular risk. In order to solve the problem of …
impaired quality of life and increased cardiovascular risk. In order to solve the problem of …
[HTML][HTML] Socioeconomic factors and adherence to CPAP: the population-based course of disease in patients reported to the Swedish CPAP Oxygen and Ventilator …
Background Early identification of poor adherence to CPAP treatment is of major clinical
importance to optimize treatment outcomes in patients with OSA. Research Question How …
importance to optimize treatment outcomes in patients with OSA. Research Question How …
A deep learning framework for automatic sleep apnea classification based on empirical mode decomposition derived from single-lead electrocardiogram
F Setiawan, CW Lin - Life, 2022 - mdpi.com
Background: Although polysomnography (PSG) is a gold standard tool for diagnosing sleep
apnea (SA), it can reduce the patient's sleep quality by the placement of several disturbing …
apnea (SA), it can reduce the patient's sleep quality by the placement of several disturbing …
Estimation of apnea-hypopnea index using deep learning on 3-D craniofacial scans
Obstructive sleep apnea (OSA) is characterized by decreased breathing events that occur
through the night, with severity reported as the apnea-hypopnea index (AHI), which is …
through the night, with severity reported as the apnea-hypopnea index (AHI), which is …
Advancements in methods and camera-based sensors for the quantification of respiration
Assessment of respiratory function allows early detection of potential disorders in the
respiratory system and provides useful information for medical management. There is a wide …
respiratory system and provides useful information for medical management. There is a wide …
Obstructive sleep apnea screening from unprocessed ECG signals using statistical modelling
This paper introduces a novel feature generation method using only the time-domain
representation of electrocardiogram (ECG) signals to detect obstructive sleep apnea (OSA) …
representation of electrocardiogram (ECG) signals to detect obstructive sleep apnea (OSA) …
Artifacts classification and apnea events detection in neck photoplethysmography signals
The novel pulse oximetry measurement site of the neck is a promising location for multi-
modal physiological monitoring. Specifically, in the context of respiratory monitoring, in …
modal physiological monitoring. Specifically, in the context of respiratory monitoring, in …