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The classification of minor gait alterations using wearable sensors and deep learning (2019)
Journal Article
Turner, A., & Hayes, S. (2019). The classification of minor gait alterations using wearable sensors and deep learning. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 66(11), 3136-3145. https://doi.org/10.1109/TBME.2019.2900863

Objective: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a... Read More about The classification of minor gait alterations using wearable sensors and deep learning.

A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device (2018)
Journal Article
Abt, G., Yang, D., Cheng, Y., Zhu, J., Xue, D., Abt, G. A., …Peng, Y. (2018). A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device. IEEE Access, 6, 8364-8375. https://doi.org/10.1109/access.2018.2805223

This paper presents a novel approach, Adaptive Spectrum Noise Cancellation (ASNC), for motion artifacts removal in Photoplethysmography (PPG) signals measured by an optical biosensor to obtain clean PPG waveforms for heartbeat rate calculation. One c... Read More about A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device.