An intelligent wearable system based on a flexible strain sensor array and deep learning successfully acquired high-precision pulse waves from the wrist without precise positioning.
Can a flexible strain sensor array combined with deep learning accurately monitor blood pressure and cardiac function without precise positioning?
A novel flexible strain sensor array combined with deep learning enables continuous, position-independent monitoring of blood pressure and cardiac function.
Continuous and reliable monitoring of blood pressure and cardiac function is of great importance for diagnosing and preventing cardiovascular diseases. However, existing cardiovascular monitoring approaches are bulky and costly, limiting their wide applications for early diagnosis. Here, we developed an intelligent blood pressure and cardiac function monitoring system based on a conformal and flexible strain sensor array and deep learning neural networks. The sensor has a variety of advantages, including high sensitivity, high linearity, fast response and recovery, and high isotropy. Experiments and simulation synergistically verified that the sensor array can acquire high-precise and feature-rich pulse waves from the wrist without precise positioning. By combining high-quality pulse waves with a well-trained deep learning model, we can monitor blood pressure and cardiac function parameters. As a proof of concept, we further constructed an intelligent wearable system for real-time and long-term monitoring of blood pressure and cardiac function, which may contribute to personalized health management, precise and early diagnosis, and remote treatment.
Li et al. (Fri,) conducted a other in Cardiovascular diseases. Deep learning-assisted strain sensor array was evaluated on Monitoring of blood pressure and cardiac function parameters. An intelligent wearable system based on a flexible strain sensor array and deep learning successfully acquired high-precision pulse waves from the wrist without precise positioning.