Shen AI shortening measurement time in half to just 30 seconds
Shen AI brings key improvements by shortening measurement time in half to just 30 seconds without compromising on quality and introducing new tools.
What's new in Shen AI SDK
When it comes to remote health monitoring, speed and accuracy are non-negotiable.
This update brings key improvements to how we process vital signs, shortening measurement time in half to just 30 seconds without compromising on quality and introducing new tools.
Ā
1. 30-second measurement with the same level of accuracy (down from 60 to 30 seconds!)
2. Multimodal sensing engine
3. PDF report export
ā
Multimodal sensing engine
The biggest change? Our new multimodal sensing engine. Think of it as two pairs of eyes looking at the same signal:Ā
1)Ā Remote photoplethysmography (rPPG) tracks subtle changes of color in facial blood flow,
2)Ā Remote ballistocardiography (rBCG) detects micro-movements happening as the heart ejects blood.
ā
Shen AI can now switch between these modalities in real time- leading to higher accuracy and reliability, even in challenging conditions.
Ā
Shen AI shortening measurement time in half to just 30 seconds
Even with the measurement time reduced to just 30 seconds, weāre not compromising on accuracy. Below, youāll find a table with the updated accuracy metrics.
ā
.png)
Generate PDFs health reports
You can now generate and access structured PDF health reports.These reports give a clear, user-friendly summary of key vitals and health risks along with contextual descriptions and reference ranges. Itās a practical way to document, share, or integrate results into broader health records or patient communication.
ā

ā
ā
Find out more in our documentation
ā
More blog posts
Sagittis et eu at elementum, quis in. Proin praesent volutpat egestas sociis sit lorem nunc nunc sit.

Boosting engagement with AI health monitoring
Many digital health apps struggle with low engagement after launch. This article explores how AI-powered health monitoring - fast, camera-based, and easy to use - can drive better retention, build habits, and empower users to stay connected to their care.

AI-powered virtual triage and guiding users to the right level of care
AI-powered, virtual triage guides patients to the right level of care to improve outcomes, decrease costs, and optimize resources.

Leaving devices behind for scalable, remote health monitoring - Webinar recap
Summary of the "Leaving devices behind for scalable, remote health monitoring" webinar