Samsung Electronics Unveils Samsung Well being Analysis Stack – Samsung World Newsroom

Because the digital well being and wearable gadgets industries develop, exact information measurement and evaluation have gotten more and more necessary. On September 27, Samsung Electronics launched Samsung Well being Analysis Stack to strengthen data-based digital well being analysis.

 

Samsung Well being Analysis Stack is Samsung Electronics’ open-source challenge that helps digital well being researches utilizing cellular and wearable gadgets in Android and Put on OS environments. The platform supplies IT builders and medical researchers with a software program surroundings to conveniently and safely plan providers utilizing related information.

 

As a result of scientific analysis requires apps and providers that constantly measure, share and analyze health-related information from customers’ every day lives, Samsung Well being Analysis Stack goals to assist researchers implement the options they need.

 

Following the launch of Samsung Well being Stack Alpha in 2022 and Samsung Well being Stack 1.0 in 2023, Samsung has introduced the newest model with Samsung Well being Analysis Stack 2.0 Beta. The open-source challenge has rebranded to Samsung Well being Analysis Stack, emphasizing help for the analysis ecosystem as a part of the newly launched Samsung Well being SDK Suite — a complete package deal of software program growth instruments for healthcare options.

 

 

 

New Options Assist Researchers With Their Research

Samsung Well being Analysis Stack promotes extra environment friendly digital well being analysis. Options embody an app SDK for simple utility creation, a back-end service that manages information collected by the app and an internet portal to help with analysis design and information evaluation. In response to suggestions from researchers, the newest model consists of extra handy options.

 

The app SDK is a growth device that reduces the associated fee and time required to develop functions for digital well being — and now helps the event of each cellular apps for analysis and smartwatch apps that make the most of wearable sensor information. Notably, enhanced help for the Sensor SDK permits researchers to create watch apps that measure and make the most of electrocardiogram, blood oxygen stage and physique composition information from the modern Galaxy Watch¹ sensors. The brand new Knowledge SDK integration helps researchers create functions that use sleep information from the Galaxy Watch or Galaxy Ring.

 

Furthermore, efficiency and value enhancements have been made to the back-end service and internet portal. The back-end structure has been strengthened to deal with information from giant scientific trials with added options to handle research. The online portal helps with the analysis course of from affected person recruitment and surveys to progress administration and information evaluation.

 

 

Driving Outcomes Across the World With Introduction at SDC24

Samsung Well being Analysis Stack is open to any firm or medical establishment within the digital healthcare house creating options that make the most of wearable gadgets and biomarkers.

 

Samsung Well being Analysis Stack will probably be showcased on the Samsung Developer Convention 2024 (SDC24) on October 3 in San Jose, California. Builders can be part of a Code Lab session through the occasion to expertise the newest options firsthand.

 

“Samsung Well being Analysis Stack is already being utilized in a number of home and worldwide scientific research that make the most of Galaxy Watch,” stated Yunsu Lee, Head of the Knowledge Intelligence Group, Samsung Analysis. “With our modern wearable know-how, we goal to contribute to increasing the digital well being ecosystem and function a helpful associate to IT and medical professionals in attaining analysis breakthroughs.”

 

The newest model of Samsung Well being Analysis Stack is out there on the Samsung Developer web site and GitHub.

 

 

¹ Out there on Galaxy Watch 4 or later fashions outfitted with Put on OS. Knowledge supported might range relying on sensor sort and mannequin.