Xana ™ has developed and clinically validated a wearable photoplethysmography (PPG) sensor with its property algorithms embedded to help doctors for a better diagnosis, as well as allow the personalization of the treatments.
Xana ™ has developed and validated its own property algorithm for monitoring the heart rate variability (HRV) in order to improve interpretation and clinical decision making.
HRV behaves as a physiological indicator of the balance at the autonomic nervous system, with potential to advise on time dependent evolution of non-pathological (i.e., stress) and pathological (i.e., cardiovascular health) conditions. But current methods to measure HRV, as implemented on available wearable systems, are not sufficiently reliable.
To solve this problem, our R&D team led by our Medical Director, Dr. David Calvo, MD, Ph.D., who is an internationally reputed cardiologist with over 20 years of experience researching the cardiac physiology, has created the Heart Rate Variability Gained Index (HRV-Gi). To analyze the temporal trends and summarize global behavior of subjects, the HRV-Gi performs mathematical analytics to reject noisy conditions and random effects. The HRV-Gi offer healthy users, patients and doctors a reliable indicator to improve personalization of the neuromodulation approaches, aiming more efficient therapy and better results.
