The shift towards preventive and personalized medicine is accelerating globally, fueled by advancements in AI and sensor technology. Regulatory bodies are increasingly favoring non-invasive diagnostic tools that improve patient comfort and accessibility. This technology aligns perfectly with these trends, offering a unique capability to monitor subtle cardiovascular changes without physical contact. It enables healthcare providers and wellness companies to deliver proactive health insights, reducing the burden on traditional medical infrastructure and meeting consumer demand for continuous, convenient health data.
Accurately measures venous waves by separating and reconstructing them from arterial signals using autocorrelation processing, a previously challenging task.
Enables non-invasive, continuous monitoring using microwaves, eliminating physical contact or pressure, thus minimizing patient discomfort.
Offers broad application potential across diverse healthcare sectors, including early detection of cardiovascular diseases, continuous health monitoring, and athlete conditioning.
This patent protects a data analysis device, venous wave monitor, method, and program, covering multiple aspects of the technology. Despite six prior art references during examination, the patentability was established through effective amendments and arguments, resulting in a robust and stable right with low invalidation risk.
This patent focuses on the signal processing and estimation algorithms. It leaves white space for developing novel microwave sensor hardware designs or integrating advanced AI/ML models for predictive health analytics based on the estimated venous wave data.
By enabling early detection of cardiovascular diseases, this technology could reduce severe complications. For example, if adopted by healthcare providers for 100,000 patients annually, a cost reduction of ~$15 (AI est.) per patient (e.g., from milder conditions, fewer hospital visits) could lead to an estimated annual saving of ~$1.5M (AI est.).
X: Measurement Accuracy & Data Richness
Y: Non-Invasiveness & Usability