Entry № 041-8 / V-10 · 0:00 synced

Why You Shouldn't Trust Your Smart Ring

Techquickie@techquickie204.3K viewsApr 8, 20269:23
Source
YT
Views
204.3K
Subscribers
4.3M
Critic
?
Audience
?

0 up · 0 down · 0 ratings

Description

Get a free 15-day trial of Odoo’s all-in-one business solution and see how it can make your life easier! Check it out at odoo.com From the Samsung Galaxy Ring to the Oura and the rumored Apple Ring, everyone wants to "put a ring on it." But shrinking a laboratory's worth of sensors into a titanium hoop requires some massive engineering compromises. In this episode, we break down why your smart ring might be "fat-fingering" your biometric data. A huge thank you to Dr. Daniel Franklin and the Franklin Research Group at the University of Toronto’s Institute of Biomedical Engineering for their expertise.

Promos

Check out their incredible work on wearables and biomedical engineering here: franklinresearch.ca Leave a comment with your requests for future episodes. Purchases made through some store links may provide some compensation to Linus Media Group. ► GET MERCH: lttstore.com ► GET EXCLUSIVE CONTENT ON FLOATPLANE: lmg.gg ► SPONSORS, AFFILIATES, AND PARTNERS: lmg.gg FOLLOW US ELSEWHERE --------------------------------------------------- Twitter: x.com Facebook: @LinusTech Instagram: @linustech TikTok: @linustech Twitch: twitch.tv

Start
AI OverviewDefault language

The video dissects why smart rings may not live up to the hype by focusing on core engineering tradeoffs that come with miniaturizing lab grade sensors into a titanium hoop. It explains how photoplethysmography (PPG) works and why ring-based sensors face a different set of challenges than wrist-worn devices, due to light path, sensor size, and battery constraints. The host compares transmissive PPG used in labs with reflective PPG common to wearables, noting that rings wrap light around the finger and must balance signal quality with power efficiency. He uses concrete examples like the size of the photodiode, the need for higher LED power to compensate for a smaller sensor, and the effect of finger blood flow on signal integrity to illustrate why readings can be noisy or misleading. The discussion then moves to the implications of motion, grip, and temperature on the ring’s ability to consistently measure heart rate and other vitals, highlighting artifacts from exercise, cold hands, and vasoconstriction. A notable part of the analysis is the contrast between the ring’s claimed long battery life and the reality of intermittent sampling, where long periods of non-measurement and interpolation can create a misleading continuous-looking graph. The host emphasizes that even though rings can be more comfortable, they face fundamental tradeoffs that can degrade data quality, especially during workouts or in cold environments, and cautions that most rings are not FDA-regulated medical devices. The video concedes that there are niche benefits during sleep, where readings can be surprisingly accurate, but argues that overall wearables like rings should be viewed as consumer devices with limitations rather than precise medical tools, and it ends with a nod to ongoing expert research on wearable signal reconstruction and measurement validation. Overall, the presentation blends engineering explanations with practical caveats and practical takeaways for potential buyers, while also acknowledging that the format blends consumer wearables with legitimate biomedical investigation. The sponsor segment and related product mentions appear as a practical note rather than a core focus of the technical critique, reinforcing the video’s aim to inform rather than promote, albeit with promotional elements present.

Topics · science_and_technology · wearables · health_tech · consumer_electronics

Questions answered

What is the main limitation of smart rings for continuous health monitoring?
The main limitation is the combination of small sensor size and battery constraints, which forces lower light levels and intermittent sampling, leading to signal noise and potential inaccuracies during activity or in certain conditions.
Why do rings struggle with motion artifacts during exercise?
Motion and grip compress blood vessels and alter light pathways, causing spikes or drops in the photoplethysmography signal that may not reflect true heart rate, necessitating data discarding or cross-referencing with accelerometer data.