New entropy measures of signals for smart wearable devices

Summary

This project aims to improve the reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to their limited capability in processing short-length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource-constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.