In a world where chronic diseases such as diabetes, hypertension, and asthma are becoming increasingly prevalent, the need for effective disease management is more critical than ever.

Remote Photoplethysmography (rPPG) stands at the forefront of non-invasive health monitoring technologies, offering a window into the body's vital signs through the subtle color changes in the skin. However, harnessing this technology is not without its challenges. 

Patient-generated health data (PGHD) is reshaping how we approach personal health and wellness. PGHD offers a more dynamic and comprehensive picture of a patient's health, leading to personalized treatment plans and better health outcomes.

This exploration unveils Shen.AI’s transformative role in enabling patients to actively participate in their health through Personal Generated Health Data (PGHD).

With the integration of Shen.AI SDK, developers are now equipped to redefine user experiences, making them more inclusive and accessible than ever before.

Shen.AI SDK is advanced, user-centric tool for remote health monitoring, enabling self-care and wellness at home.

Remote photoplethysmography (rPPG) has emerged as a non-contact method for monitoring vital signs, revolutionizing the way we approach health monitoring.

Integrating the Shen.AI SDK into health monitoring apps transforms the user experience.In this article, we explore how to create user-centric interfaces using this innovative tool, focusing on its clinically validated features and customizable front-end.

In the age of digital health, the paramount concern revolves around ensuring the privacy and security of user data in face-scanning technologies that works with remote photoplethysmography (rPPG).Explore how Shen.AI addresses this challenge by processing data locally, guaranteeing real-time measurements without compromising data security.