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Friday, November 15, 2024

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


Because the digital well being and wearable units industries develop, exact knowledge 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 mission that helps digital well being researches utilizing cell and wearable units in Android and Put on OS environments. The platform offers IT builders and medical researchers with a software program setting to conveniently and safely plan companies utilizing related knowledge.

 

As a result of medical analysis requires apps and companies that repeatedly measure, share and analyze health-related knowledge from customers’ each 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 most recent model with Samsung Well being Analysis Stack 2.0 Beta. The open-source mission 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 embrace an app SDK for simple utility creation, a back-end service that manages knowledge collected by the app and an internet portal to help with analysis design and knowledge evaluation. In response to suggestions from researchers, the most recent model contains extra handy options.

 

The app SDK is a growth device that reduces the price and time required to develop functions for digital well being — and now helps the event of each cell apps for analysis and smartwatch apps that make the most of wearable sensor knowledge. 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 knowledge from the modern Galaxy Watch1 sensors. The brand new Knowledge SDK integration helps researchers create functions that use sleep knowledge 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 bolstered to deal with knowledge from massive medical 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 knowledge 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 units 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 in the course of the occasion to expertise the most recent options firsthand.

 

“Samsung Well being Analysis Stack is already being utilized in a number of home and worldwide medical research that make the most of Galaxy Watch,” mentioned Yunsu Lee, Head of the Knowledge Intelligence Group, Samsung Analysis. “With our modern wearable expertise, we intention to contribute to increasing the digital well being ecosystem and function a beneficial companion to IT and medical professionals in attaining analysis breakthroughs.”

 

The most recent model of Samsung Well being Analysis Stack is on the market on the Samsung Developer web site and GitHub.

 

 

1 Accessible on Galaxy Watch 4 or later fashions outfitted with Put on OS. Knowledge supported could fluctuate relying on sensor sort and mannequin.

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