Dae Hyun Kim
Associate Director & Senior Scientist, Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life
Funding: $7 million venture capital seed raise
Boston-based wearable health company Lumia has raised $7 million from J2 Ventures, BonAngels Venture Partners, and angel investors to commercialize Lumia 2, its new generation of smart earrings that monitor blood flow in real time. With an additional $5.1 million in government contracts and grants, the company’s total funding has reached $17.2 million. The Lumia 2 earrings, available in gold, silver, and clear finishes, weigh less than one gram and can be worn as huggie hoops, cuffs, or studs. The device uses SwitchBack technology to attach to standard push-back earrings, while the cuff version can be worn without a piercing. Each smart earring includes sleep, temperature, menstrual cycle, and readiness tracking alongside continuous blood flow measurement. “This is what comes after smart rings,” said Daniel Lee, co-founder and CEO of Lumia. “Just as Oura made…
New Product Launch: Lumia 2 Smart Earrings
Lumia is bringing their lightest wearable tech for measuring blood-flow to a whole new market with the introduction of a fine jewelry inspired smart-earring form factor with expanded health monitoring features. BOSTON – Nov. 18, 2025 – Lumia today announced the launch of Lumia 2, the world’s first smart earrings that continuously track real-time blood flow to your head, giving anyone instant insight into how blood flow affects energy, focus, and mental clarity. Originally developed with Johns Hopkins, Duke, and Harvard researchers to help patients with chronic blood flow disorders like POTS (Postural Orthostatic Tachycardia Syndrome) and Long COVID-19, Lumia is now available to everyone for the first time.Indistinguishable from fine jewelry, Lumia 2 can be worn as huggie hoops, cuffs, and studs offered in gold, silver, and clear finishes, and also attaches to any…
Award: Best Demo Audience Choice Award at IEEE BSN 2025
The team of Colin Barry, Tatsuo Kumamoto, Edward Wang, and Lina Battikha won the Audience Choice Award for Best Demo at the IEEE-EMBS International Conference on Body Sensor Networks – Computational Medicine: Expanding Health through Sensing and AI held from November 3-5, 2025 for their demo entitled, "Oscillometric Smartphone Blood Pressure Demo." Source: LinkedIn Post
Past Webinar – Listening to the Heart: In-Ear Infrasonic Technology for Blood Pressure and Beyond
https://youtu.be/K8-TKfD6Hrs?si=bUiCRsvyCQ2sP4KR Abstract: This talk will highlight the results of MindMics’ recent feasibility study on non-invasive blood pressure monitoring using in-ear infrasonic signals. Dr. Barnacka will discuss how this novel technology, validated through clinical research, can be integrated into both consumer earbuds and hearing aids, creating a new class of connected health devices. The presentation will explore the underlying infrasonic science, algorithmic advances, and the broader impact on cardiovascular health, preventive care, and data-driven wellness ecosystems. Biography: Anna Barnacka, Founder and CEO, MindMics Inc. Dr. Anna Barnacka is the Founder and CEO of MindMics, a Boston-based healthtech company pioneering “In-Ear Infrasonic Hemodynography (IH)” — a patented technology that transforms earbuds and hearing aids into clinical-grade heart-health monitors. With dual PhDs in Physics and Astronomy and a NASA Einstein Fellowship at Harvard, Anna bridges physics, acoustics, and…
Award: Best Demo at eWEAR Health Prize at Stanford University
On Thursday October 30, 2025, Billion Labs Inc. was voted Best Demo by the audience at the Start-up demo showcase as part of an event put on by the Stanford Wearable Electronics Initiative (eWEAR). Source: LinkedIn Post
Wearable Heart Failure Socks for Exacerbation and Treatment Monitoring
Pamela Z. Cacchione, University of Pennsylvania. Li Shen, University of Pennsylvania. Heart Failure Monitoring Socks will be used in hospitalized persons with heart failure to gather data on heart failure exacerbations and responses to treatment. We will use this data to develop predictive models for edema and fatigue due to heart failure.