Monitoring long-health indicators traditionally requires physical contact, invasive tests, or continuous wearable devices. NuraLogix is shifting that paradigm toward contactless health monitoring with its Longevity Mirror, a full-size mirror that gives users insights into their future health simply by facing it.
NuraLogix’s patent portfolio captures the technologies behind its approach through its Transdermal Optical Imaging system. The contact-free camera system analyzes video images of light re-emitted from the skin to extract physiological signals. Across these patents, machine learning models process changes in hemoglobin concentration (HC) facial regions of interest to derive different vital signs and health metrics.

U.S. Patent No. 10,117,588 covers a system and method for camera-based heart rate tracking. It processes extracted signals using band-pass filters and Hilbert transforms to produce a continuous heart rate estimate of the user. U.S. Patent No. 10,376,192 uses these optical signals to estimate the user’s blood pressure. It combines region-specific blood flow data with domain knowledge signals to train a model that determines the user’s blood pressure.
U.S. Patent No. 11,690,543 extends the approach to blood biomarkers such as blood glucose, Hemoglobin A1c (HbA1c), cholesterol, and triglycerides. The patent describes using machine learning models to estimate these biomarkers from optical measurements, offering a non-invasive alternative to conventional blood sampling. U.S. Patent No. 10,694,988 takes these capabilities beyond vital signs to broader physiological states. Using trained machine learning models, the system analyzes transdermal blood flow changes to provide stress, pain, or fatigue levels. U.S. Patent No. 11,857,323 further builds on this approach with a particular focus on stress determination. It derives heartbeat intervals and heart-rate variability (HRV) based on peaks in the HC change signal to provide the user’s stress level.
Together these technologies form the foundation of NuraLogix’s contactless approach to health monitoring. Data derived from these processes provide the “Longevity Index”, designed to provide users insights into long-term health and aging. This is complemented by AI-powered health assistants that help users interpret their results.
Why it matters
As remote health monitoring expands, this approach can provide instant triage and wellness assessments that are seamlessly embedded into everyday routines. These technologies can also support the early identification of potential health risks and bring preventive care beyond traditional clinic settings and into the home.
U.S. Patent No. 10,117,588 was filed on March 16, 2018 and granted on November 6, 2018. Kang Lee, Evgueni Kabakov, and Phil Levy are listed as inventors.
U.S. Patent No. 10,376,192 was filed on March 16, 2018 and granted on August 13, 2019.
Kang Lee, Evgueni Kabakov, and Phil Levy are listed as inventors.
U.S. Patent No. 11,690,543 was filed on June 30, 2020 and granted on July 4, 2023. Kang Lee, Andrew Barszezyk, Si Jia Wu, Yousef Yasin, Winston De Armas, and Alan Ding are listed as inventors.
U.S. Patent No. 11,857,323 was filed on September 15, 2022 and granted on January 2, 2024. Kang Lee, Pu Zheng, and Si Wu are listed as inventors.
Legal representation for these patent filings is provided by Anile Bhole and Marc Lampert from Bhole IP Law.
