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Ozmen GC, Nevius BN, Nichols CJ, et al. An Integrated Multimodal Knee Brace Enabling Mid-Activity Tracking for Joint Health Assessment. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:7364-7368doi: 10.1109/EMBC46164.2021.9630526.
Ozmen, G. C., Nevius, B. N., Nichols, C. J., Mabrouk, S., Teague, C. N., & Inan, O. T. (2021). An Integrated Multimodal Knee Brace Enabling Mid-Activity Tracking for Joint Health Assessment. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20217364-7368. https://doi.org/10.1109/EMBC46164.2021.9630526
Ozmen, Goktug C, et al. "An Integrated Multimodal Knee Brace Enabling Mid-Activity Tracking for Joint Health Assessment." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2021 (2021): 7364-7368. doi: https://doi.org/10.1109/EMBC46164.2021.9630526
Ozmen GC, Nevius BN, Nichols CJ, Mabrouk S, Teague CN, Inan OT. An Integrated Multimodal Knee Brace Enabling Mid-Activity Tracking for Joint Health Assessment. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:7364-7368. doi: 10.1109/EMBC46164.2021.9630526. PMID: 34892799.
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Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:7364-7368. doi: 10.1109/EMBC46164.2021.9630526.

An Integrated Multimodal Knee Brace Enabling Mid-Activity Tracking for Joint Health Assessment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Goktug C Ozmen, Brandi N Nevius, Christopher J Nichols, Samer Mabrouk, Caitlin N Teague, Omer T Inan

PMID: 34892799 DOI: 10.1109/EMBC46164.2021.9630526

Abstract

Developments in wearable technologies created opportunities for non-invasive joint health assessment while subjects perform daily activities during rehabilitation and recovery. However, existing state-of-art solutions still require a health professional or a researcher to set up the device, and most of them are not convenient for at-home use. In this paper, we demonstrate the latest version of the multimodal knee brace that our lab previously developed. This knee brace utilizes four sensing modalities: joint acoustic emissions (JAEs), electrical bioimpedance (EBI), activity and temperature. We designed custom printed-circuit boards and developed firmware to acquire high quality data. For the brace material, we used a commercial knee brace and modified it for the comfort of patients as well as to secure all electrical connections. We updated the electronics to enable rapid EBI measurements for mid-activity tracking. The performance of the multimodal knee brace was evaluated through a proof-of-concept human subjects study (n=9) with 2 days of measurement and 3 sessions per day. We obtained consistent EBI data with less than 1 Ω variance in measured impedance within six full frequency sweeps (each sweep is from 5 kHz to 100 kHz with 256 frequency steps) from each subject. Then, we asked subjects to perform 10 unloaded knee flexion/extensions, while we measured continuous 5 kHz and 100 kHz EBI at every 100 ms. The ratio of the range of reactance (ΔX

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