How 5G and machine learning can build scalable assistive health technologies
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Summary
The evolution of 5G and ongoing research push toward 6G is enabling significant advances in scalable user-centric biosignal monitoring for assistive technology healthcare applications. While network slices cater to high-bandwidth and low latency use-cases, robustness and performance are ensured through scalable machine learning methods. In this post, we discuss the challenges and resolution for a scalable pipeline with communicating sensor devices that has the potential to transform healthcare.