At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch

Soft Electronics for Health Monitoring Assisted by Machine Learning

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Multifunctional wearable humidity and pressure sensors based on biocompatible graphene/bacterial cellulose bioaerogel for wireless monitoring and early warning of sleep apnea syndrome - ScienceDirect

PDF] Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea

Soft Electronics for Health Monitoring Assisted by Machine Learning

At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch

Wireless batteryless soft sensors for ambulatory cardiovascular health monitoring

A New Approach to at Home Health Monitoring George W. Woodruff School of Mechanical Engineering

Tracheal Sound Analysis Using a Deep Neural Network to Detect Sleep Apnea

Machine learning implementations for sleep staging and apnea detection.

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Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach

Front view sleep spectrogram-left (patient-b03); obstructive sleep