Here is a partial list of technologies that are related to our research and development activities.


Technology of Low-Cost Screening for Sleep-Disordered Breathing (SDB) and Sleep Quality Analysis
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 congestive heart failure. Therefore, accurate and inexpensive detection, physiological quantification and management of this disease is a major health care priority.



Heart Rate Variability (HRV) Indexes for Monitoring Overall Health
Holter monitor, invented in 1940 by Dr. Norman Holter, has a long tradition of application in clinical diagnostics. Since a Holter monitor can be worn during the patient's regular daily activities, it helps the physician correlate symptoms of dizziness, palpitations (a sensation of fast or irregular heart rhythm) or black outs. Furthermore, Holter recording covers 24 hours on a continuous basis and, therefore, is much more likely to detect an abnormal heart rhythm when compared to the short-term EKG obtained in the clinic/hospital. However, dynamical fluctuations of the heart rate that are not related to those abnormal rhythms have typically been discarded by physicians. Most recently, we showed that, in addition to obtain information specific to cardiac diseases, these seemingly noisy fluctuations actually contain remarkable knowledge about the overall health condition of the subject.



Technology to Evaluate Risk for Stroke and Hypertension
Stroke is the third leading cause of death and the number one leading cause of disability in elderly people in the US. Worldwide, the similar trend is observed. As a result, stroke imposes substantial economic and psychosocial burdens on the individuals and the society. Major risk factors for stroke include diabetes and hypertension, conditions that are increasingly prevalent in the aging population. Cerebral autoregulation modulates blood flow responses to systemic blood pressure (BP) fluctuations in order to maintain adequate brain perfusion. Noninvasive bedside techniques are urgently needed to identify patients with impaired autoregulation who are at risk for hypoperfusion and strokes. Post-stroke recovery also depends critically on brain perfusion. Therefore, noninvasive assessment of cerebral autoregulation can serve as a critical monitoring tool for stroke risk and post-stroke recovery.