Results 161 to 170 of about 43,261 (257)
ABSTRACT A recent survey in the Philippines, PRESYON‐4, showed increasing prevalence of hypertension from 22% in the 1990s to 37% in 2021, of which only 52% were aware of their diagnosis. While rates of treatment and adherence were 68% and 86%, respectively, the rate of BP control was low at 37%. Furthermore, there remained a high degree of unawareness
Deborah Ignacia D. Ona +17 more
wiley +1 more source
ABSTRACT The aim of the study was to compare the efficacy of intensive sleep retraining (ISR) and total sleep deprivation (TSD) against a no‐treatment control condition for treating chronic insomnia and examine two potential mechanisms: the resolution of conditioned insomnia and the increase in homeostatic sleep drive produced by sleep deprivation ...
J. Le Bouthillier, H. Ivers, C. M. Morin
wiley +1 more source
Comparative Assessment of Heart Rate Variability Obtained via Ambulatory ECG and Polar Heart Rate Monitors in Healthy Cats: A Pilot Study. [PDF]
Grigg EK +5 more
europepmc +1 more source
Ambulatory ECG monitoring in the age of smartphones
David J. Sanders +3 more
openalex +1 more source
ABSTRACT Home sleep apnea tests (HSATs) have emerged as alternatives to in‐laboratory polysomnography (PSG), but Type IV HSATs often show limited diagnostic performance. This study clinically validates SleepAI, a novel remote digital health system that applies AI algorithms to raw oximetry data for automated sleep staging and obstructive sleep apnea ...
Shirel Attia +10 more
wiley +1 more source
ABSTRACT Obstructive sleep apnoea (OSA) is a highly prevalent but heterogeneous condition which makes identifying patients at risk of vigilance and driving impairment clinically challenging. Resting wake electroencephalography (EEG) is associated with vigilance performance in healthy participants.
Andrew Vakulin +10 more
wiley +1 more source
ABSTRACT Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short‐term memory (LSTM) is a machine learning algorithm that may address these deficiencies.
R. Glenn Weaver +18 more
wiley +1 more source
Predicting 1-year atrial fibrillation risk from a patch-based ambulatory ECG monitoring without atrial fibrillation [PDF]
Matteo Gadaleta +6 more
openalex +1 more source
The Contribution of 24-Hour Ambulatory ECG Monitoring in a General Medical Unit
A K Brown, Valerie Anderson
openalex +1 more source
Various arrhythmia types and their day-by-day occurrence rates over a 14-day period using a P-wave sensitive ambulatory ECG monitored population [PDF]
G Bardy, M Wang, R Boleyn, K McLendon
openalex +1 more source

