@article{twiddy_peterson_maddocks_macpherson_pimentel_yates_armitano-lago_kiefer_pietrosimone_franz_et al._2022, title={A Low-Cost, Open Source Wireless Body Area Network for Clinical Gait Rehabilitation}, ISSN={["1930-0395"]}, DOI={10.1109/SENSORS52175.2022.9967362}, abstractNote={Wearable inertial sensors represent an opportunity to enable gait monitoring and feedback-based rehabilitation in real-world environments. Here, we describe the development of an inexpensive I MU-based wireless body area network capable of recording 9-axis motion data from 8 sites on the body simultaneously. This system can generate data comparable to existing commercial sensor networks and can distinguish varying loading conditions observed during real-time biofeedback-based human subject testing.}, journal={2022 IEEE SENSORS}, author={Twiddy, Jack and Peterson, Kaila and Maddocks, Grace and MacPherson, Ryan and Pimentel, Ricky and Yates, Max and Armitano-Lago, Cortney and Kiefer, Adam and Pietrosimone, Brian and Franz, Jason and et al.}, year={2022} }