This study suggests brain age is “malleable” and responsive to therapies that improve sleep and thus highlights its value as a potential biomarker of brain health. The post Is Brain Age Malleable to Sleep Apnea Therapy? An Exploratory Positive Airway Pressure Titration and Machine Learning-based Brain Age Study appeared first on EnsoData.| EnsoData
The results of this study highlight the ability to expand OSA screening using ECG-based machine learning systems. The post Clinical Validation of ECG-Based Obstructive Sleep Apnea Screening Using Machine Learning appeared first on EnsoData.| EnsoData
This study evaluates the Impact of Multi-Night Home Sleep Apnea Testing for Obstructive Sleep Apnea (OSA) Diagnosis. The post Evaluating the Impact of Multi-Night Home Sleep Apnea Testing for Obstructive Sleep Apnea Diagnosis appeared first on EnsoData.| EnsoData
This study explored whether PPG-based sleep stages are robust enough to detect sleep architectural abnormalities specifically associated with Narcolepsy Type-1.| EnsoData
This study included standardized skin pigmentation assessments to enable bias analyses in EnsoData's PPG-Based OSA detection algorithm.| EnsoData