This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Sleep-disordered breathing (SDB) is a serious public health problem. An estimated 4-8% of the general adult population have obstructive sleep apnea syndrome, and many more have milder SDB of uncertain medical significance. Specific populations are at exceptionally high risk for severe and complex (obstructive and central) SDB, such as those with congestive heart failure and chronic renal failure. Accumulating evidence indicates that SDB has a clinical association with excessive daytime sleepiness, executive cognitive dysfunction in adults and children, hypertension, coronary artery disease and chronic heart failure. Therefore, accurate and inexpensive detection, physiological quantification and management of this disease are major health care priorities. We have recently developed a new way of detecting sleep-disordered breathing and of assessing sleep quality from a single lead electrocardiogram (ECG). This technique measures the coupling between breath-to-breath pulmonary dynamics and beat-to-beat cardiac dynamics. This project is directed at further developing and refining this cardiopulmonary coherence (CPC) detector as a quantitative, inexpensive and repeatable measure of sleep behavior in health and disease.
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