Publications

Citation

BibTex format

@article{Hadjipanayi:2024:10.1109/TBME.2024.3396650,
author = {Hadjipanayi, C and Yin, M and Bannon, A and Rapeaux, A and Banger, M and Haar, S and Lande, TS and McGregor, A and Constandinou, T},
doi = {10.1109/TBME.2024.3396650},
journal = {IEEE Transactions on Biomedical Engineering},
pages = {2854--2865},
title = {Remote gait analysis using ultra-wideband radar technology based on joint range-Doppler-time representation},
url = {http://dx.doi.org/10.1109/TBME.2024.3396650},
volume = {71},
year = {2024}
}

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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Objective: In recent years, radar technology has been extensively utilized in contactless human behavior monitoring systems. The unique capabilities of ultra-wideband (UWB) radars compared to conventional radar technologies, due to time-of-flight measurements, present new untapped opportunities for in-depth monitoring of human movement during overground locomotion. This study aims to investigate the deployability of UWB radars in accurately capturing the gait patterns of healthy individuals with no known walking impairments.Methods: A novel algorithm was developed that can extract ten clinical spatiotemporal gait features using the Doppler information captured from three monostatic UWB radar sensors during a 6-meter walking task. Key gait events are detected from lower-extremity movements based on the joint range-Doppler-time representation of recorded radar data. The estimated gait parameters were validated against a gold-standard optical motion tracking system using 12 healthy volunteers.Results: On average, nine gait parameters can be consistently estimated with 90-98% accuracy, while capturing 94.5% of participants' gait variability and 90.8% of inter-limb symmetry. Correlation and Bland-Altman analysis revealed a strong correlation between radar-based parameters and the ground-truth values, with average discrepancies consistently close to 0.Conclusion: Results prove that radar sensing can provide accurate biomarkers to supplement clinical human gait assessment, with quality similar to gold standard assessment.Significance: Radars can potentially allow a transition from expensive and cumbersome lab-based gait analysis tools toward a completely unobtrusive and affordable solution for in-home deployment, enabling continuous long-term monitoring of individuals for research and healthcare applications.
AU  - Hadjipanayi,C
AU  - Yin,M
AU  - Bannon,A
AU  - Rapeaux,A
AU  - Banger,M
AU  - Haar,S
AU  - Lande,TS
AU  - McGregor,A
AU  - Constandinou,T
DO  - 10.1109/TBME.2024.3396650
EP  - 2865
PY  - 2024///
SN  - 0018-9294
SP  - 2854
TI  - Remote gait analysis using ultra-wideband radar technology based on joint range-Doppler-time representation
T2  - IEEE Transactions on Biomedical Engineering
UR  - http://dx.doi.org/10.1109/TBME.2024.3396650
UR  - http://hdl.handle.net/10044/1/111235
VL  - 71
ER  -

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Awards

Finalist: Best Paper - IEEE Transactions on Mechatronics (awarded June 2021)

Finalist: IEEE Transactions on Mechatronics; 1 of 5 finalists for Best Paper in Journal

Winner: UK Institute of Mechanical Engineers (IMECHE) Healthcare Technologies Early Career Award (awarded June 2021): Awarded to Maria Lima (UKDRI CR&T PhD candidate)

Winner: Sony Start-up Acceleration Program (awarded May 2021): Spinout company Serg Tech awarded (1 of 4 companies in all of Europe) a place in Sony corporation start-up boot camp

“An Extended Complementary Filter for Full-Body MARG Orientation Estimation” (CR&T authors: S Wilson, R Vaidyanathan)

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