Machine learning and artificial intelligence (AI)-based methods have made a qualitative leap in recent years as a result of new computing software hardware infrastructure and the development of large zettabyte-era databases. These technologies, which serve as the foundation for consumer devices such as smart wearables, smart watches, smart rings, and smartphones, have resulted in incredible progress on our daily lives, and are poised to transform other areas of healthcare, including clinical research. Here are the ways that Edge Impulse and its trusted suite of ML tools integrates into this segment, and how you can leverage them to help accelerate and amplify your health solution deployments.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/accelerate-the-design-of-health-monitoring-algorithms-and-research-with-edge-impulse