Recent development of respiratory rate measurement technologies
Respiratory rate (RR) is an important physiological parameter whose abnormality has been
regarded as an important indicator of serious illness. In order to make RR monitoring simple …
regarded as an important indicator of serious illness. In order to make RR monitoring simple …
Heart rate variability, sleep and sleep disorders
PK Stein, Y Pu - Sleep medicine reviews, 2012 - Elsevier
Heart rate (HR) is modulated by the combined effects of the sympathetic and
parasympathetic nervous systems. Therefore, measurement of changes in HR over time …
parasympathetic nervous systems. Therefore, measurement of changes in HR over time …
A novel algorithm for the automatic detection of sleep apnea from single-lead ECG
C Varon, A Caicedo, D Testelmans… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Goal: This paper presents a methodology for the automatic detection of sleep apnea from
single-lead ECG. Methods: It uses two novel features derived from the ECG, and two well …
single-lead ECG. Methods: It uses two novel features derived from the ECG, and two well …
A sleep apnea detection method based on unsupervised feature learning and single-lead electrocardiogram
K Feng, H Qin, S Wu, W Pan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Sleep apnea (SA) is a harmful respiratory disorder that has caused widespread concern
around the world. Considering that electrocardiogram (ECG)-based SA diagnostic methods …
around the world. Considering that electrocardiogram (ECG)-based SA diagnostic methods …
Analysis of first-derivative based QRS detection algorithms
NM Arzeno, ZD Deng, CS Poon - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
Accurate QRS detection is an important first step for the analysis of heart rate variability.
Algorithms based on the differentiated ECG are computationally efficient and hence ideal for …
Algorithms based on the differentiated ECG are computationally efficient and hence ideal for …
Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea
P De Chazal, C Heneghan, E Sheridan… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
A method for the automatic processing of the electrocardiogram (ECG) for the detection of
obstructive apnoea is presented. The method screens nighttime single-lead ECG recordings …
obstructive apnoea is presented. The method screens nighttime single-lead ECG recordings …
Classification of sleep apnea based on EEG sub-band signal characteristics
Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops
during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological …
during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological …
A review of signals used in sleep analysis
A Roebuck, V Monasterio, E Gederi… - Physiological …, 2013 - iopscience.iop.org
This article presents a review of signals used for measuring physiology and activity during
sleep and techniques for extracting information from these signals. We examine both clinical …
sleep and techniques for extracting information from these signals. We examine both clinical …
Patient safety processor
LA Lynn, EN Lynn - US Patent 9,053,222, 2015 - Google Patents
US9053222B2 - Patient safety processor - Google Patents US9053222B2 - Patient safety
processor - Google Patents Patient safety processor Download PDF Info Publication number …
processor - Google Patents Patient safety processor Download PDF Info Publication number …
Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings
AH Khandoker, M Palaniswami… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Obstructive sleep apnea syndrome (OSAS) is associated with cardiovascular morbidity as
well as excessive daytime sleepiness and poor quality of life. In this study, we apply a …
well as excessive daytime sleepiness and poor quality of life. In this study, we apply a …