HemodynamicAID vs NoR∆ Dynamics

The HemodynamicAID App is a free educational mobile application developed to teach medical professionals how to understand and apply the fundamental principles of coronary hemodynamics, including waveform interpretation, hyperemic and non-hyperemic pressure indices, the index of microvascular resistance (IMR), and their clinical applications in the cardiac catheterization laboratory. Developed at The Mount Sinai Hospital Cardiac Catheterization Laboratory, HemodynamicAID provides structured modules, interactive quizzes, and real case examples designed to help techs, fellows, and early-career physicians who wish to strengthen their understanding of coronary physiology.

NoRΔ – Hemodynamic Modeling NoRΔ is an educational and research-focused platform designed for physicians interested in arterial waveform physiology and cardiovascular modeling. The application enables structured exploration of arterial pressure morphology and algorithm-based hemodynamic representations using user-provided data inputs. Waveform Exploration • Educational waveform import and curve tracing • Visualization of systolic upstroke characteristics • Multi-cycle respiratory variation modeling Hemodynamic Modeling The platform provides algorithmic representations of parameters such as: • Cardiac Output (CO) • Stroke Volume (SV) • Pulse Pressure Variation (PPV) • Dynamic Arterial Elastance (Ea_dyn) • Systemic Vascular Resistance (SVR) All outputs are mathematical estimations intended solely for educational and research exploration. Intended Audience Developed for licensed physicians, medical residents, fellows, and healthcare professionals engaged in advanced hemodynamic education. Important Notice NoRΔ is an educational and research software application. It is not a medical device. It is not intended for diagnosis, patient monitoring, or therapeutic decision-making. The software has not been evaluated, cleared, or approved by the U.S. FDA, ANVISA, or any regulatory authority. Users are solely responsible for independent clinical judgment.