Tags: The University of Sydney, Australia, Healthcare & Lifesciences, Consumer Goods & Services
A new system revolutionizes ECG monitoring with AI-driven wearable devices that ensure precise, real-time cardiac diagnosis. It employs two-stage convolutional neural networks (CNNs) to enhance diagnosis accuracy despite noise, supporting prolonged monitoring for detailed heart rhythm analysis. This innovation can be implemented on edge devices, optimizing computational efficiency. It offers clinicians deeper cardiac insights, fostering better treatment outcomes. The technology serves a growing wearable ECG device market, crucial for early arrhythmia detection and intervention.
IP Type or Form Factor: Patent Pending; Device; Software & Algorithm
TRL: 5 - prototype ready for testing in intended environment
Industry or Tech Area: Medical Devices; Wearables