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

• Authors: Nathan Zavanelli, Georgia Institute of Technology; Hojoong Kim, Georgia Institute of Technology; Jongsu Kim, Georgia Institute of Technology; Robert Herbert, Georgia Institute of Technology; Musa Mahmood, Georgia Institute of Technology; Yun-Soung Kim, Georgia Institute of Technology; Shinjae Kwon, Georgia Institute of Technology; Nicholas B Bolus, Huxley Med Inc; Brennan F Torstrick, Huxley Med Inc; Christopher SD Lee, Huxley Med Inc; Woon-Hong Yeo, Emory University
• Journal Title: SCIENCE ADVANCES
• Volume: Volume 7, Number 52
• Publisher: AMER ASSOC ADVANCEMENT SCIENCE | 2021-12-01, Pages eabl4146-eabl4146
• Type of Work: Article | Final Publisher PDF
• Publisher DOI: http://doi.org/10.1126/sciadv.abl4146
• Subjects: Engineering, Biomedical
• Keywords: Science & Technology; Multidisciplinary Sciences; Science & Technology - Other Topics; CONSEQUENCES

Abstract

Obstructive sleep apnea (OSA) affects more than 900 million adults globally and can create serious health complications when untreated; however, 80% of cases remain undiagnosed. Critically, current diagnostic techniques are fundamentally limited by low throughputs and high failure rates. Here, we report a wireless, fully integrated, soft patch with skin-like mechanics optimized through analytical and computational studies to capture seismocardiograms, electrocardiograms, and photoplethysmograms from the sternum, allowing clinicians to investigate the cardiovascular response to OSA during home sleep tests. In preliminary trials with symptomatic and control subjects, the soft device demonstrated excellent ability to detect blood-oxygen saturation, respiratory effort, respiration rate, heart rate, cardiac pre-ejection period and ejection timing, aortic opening mechanics, heart rate variability, and sleep staging. Last, machine learning is used to autodetect apneas and hypopneas with 100% sensitivity and 95% precision in preliminary at-home trials with symptomatic patients, compared to data scored by professionally certified sleep clinicians.