TY - JOUR
T1 - A Wearable, Multimodal Sensing System to Monitor Knee Joint Health
AU - Teague, Caitlin N.
AU - Heller, J. Alex
AU - Nevius, Brandi N.
AU - Carek, Andrew M.
AU - Mabrouk, Samer
AU - Garcia-Vicente, Florencia
AU - Inan, Omer T.
AU - Etemadi, Mozziyar
N1 - Funding Information:
Manuscript received April 10, 2020; accepted April 28, 2020. Date of publication May 14, 2020; date of current version August 14, 2020. This work was supported by the Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) ElectRx program through the Naval Information Warfare Center (NIWC) under Cooperative Agreement N66001-19-2-4002. The associate editor coordinating the review of this article and approving it for publication was Dr. Wan-Young Chung. (Corresponding author: Caitlin N. Teague.) Caitlin N. Teague and Samer Mabrouk are with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30308 USA (e-mail: caitlin.n.teague@gmail.com).
PY - 2020/9/15
Y1 - 2020/9/15
N2 - Objective: We designed and validated a wearable, multimodal sensor brace for knee joint health assessment. Methods: An embedded-, two-microcontroller-based approach is used to sample high-throughput, multi-microphone joint acoustics (46.875 kHz) as well as lower-rate electrical bioimpedance (EBI) (1/46.17 s), inertial (100-250 Hz), and skin temperature (1 Hz) data, and these data are saved onto microSD cards. Additionally, a flexible, 3D-printed brace houses the custom circuit boards and sensors to enable wearable sensing. Results: The system achieves 9 hours of continuous joint sound recording, while the EBI, inertial, and temperature sensors can sample for 35 hours using 500 mAh batteries. Further, for the entirety of these continuous recordings, there were no dropped samples for any of the sensors. Lastly, proof-of-concept measurements were used to show the system's efficacy for recording joint sounds and swelling data. Conclusion: This is, to the best of our knowledge, the first, completely untethered wearable system for multimodal knee health monitoring. Significance: The proposed smart brace may facilitate in-clinic or at-home measurements for joint health assessment.
AB - Objective: We designed and validated a wearable, multimodal sensor brace for knee joint health assessment. Methods: An embedded-, two-microcontroller-based approach is used to sample high-throughput, multi-microphone joint acoustics (46.875 kHz) as well as lower-rate electrical bioimpedance (EBI) (1/46.17 s), inertial (100-250 Hz), and skin temperature (1 Hz) data, and these data are saved onto microSD cards. Additionally, a flexible, 3D-printed brace houses the custom circuit boards and sensors to enable wearable sensing. Results: The system achieves 9 hours of continuous joint sound recording, while the EBI, inertial, and temperature sensors can sample for 35 hours using 500 mAh batteries. Further, for the entirety of these continuous recordings, there were no dropped samples for any of the sensors. Lastly, proof-of-concept measurements were used to show the system's efficacy for recording joint sounds and swelling data. Conclusion: This is, to the best of our knowledge, the first, completely untethered wearable system for multimodal knee health monitoring. Significance: The proposed smart brace may facilitate in-clinic or at-home measurements for joint health assessment.
KW - Embedded software
KW - joint physiology
KW - mHealth
KW - rapid prototyping
KW - wearable sensors
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U2 - 10.1109/JSEN.2020.2994552
DO - 10.1109/JSEN.2020.2994552
M3 - Article
AN - SCOPUS:85090204427
VL - 20
SP - 10323
EP - 10334
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
SN - 1530-437X
IS - 18
M1 - 9093890
ER -