Research Publications using the SageMotion System
Novel Deep Learning Model to Estimate Knee Flexion and Adduction Moments with Wearable IMUs during Treadmill and Overground Walking. Sabaty A, Fishman A, Batcir S, Tan T, Shull PB, Levy K, Fischer AG. IEEE Journal of Biomedical and Health Informatics. 2025 Jun 30.
A Review of Gait Analysis Using Gyroscopes and Inertial Measurement Units. Lin S, Evans K, Hartley D, Morrison S, McDonald S, Veidt M, Wang G. Sensors. 2025 May 31;25(11):3481.
Real-Time Open Source Kinematic Estimation with Wearable IMUs. Xu C, Tan Y, Strout Z, Liu G, Zhu K, Shull P. 2025 IEEE International Conference On Rehabilitation Robotics (ICORR) 2025 May 12 (pp. 301-307).
Step Width Haptic Feedback for Gait Stability in Spinocerebellar Ataxia: Preliminary Results. Wang H, Ullah Z, Gazit E, Brozgol M, Hausdorff JM, Shull PB, Ponger P. Movement Disorders. 2025 Apr;40(4):745-51.
Assessing Vibrotactile Feedback Effects on Posture, Muscle Recruitment, and Cognitive Performance. Tuken D, Silva I, Vitali RV. Sensors. 2025 Apr 11;25(8):2416.
Precision Haptics in Gait Retraining for Knee Osteoarthritis. Rokhmanova N. Doctoral dissertation, Carnegie Mellon University. 2025.
Estimation of kinetics using IMUs to monitor and aid in clinical decision-making during ACL rehabilitation: a systematic review. Krishnakumar S, van Beijnum BJ, Baten CT, Veltink PH, Buurke JH. Sensors. 2024 Mar 28;24(7):2163.
Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors. Lanotte F, Okita S, O’Brien MK, Jayaraman A. Journal of NeuroEngineering and Rehabilitation. 2024 Dec 21;21(1):219.
Machine Learning for Knee Moment Estimation in Healthy and Post Total Knee Arthoplasty Participants Using Wearable Sensors. Fishman A, Sabaty A, Ghrayeb N, Peskin B, Levi K, Fischer AG. Osteoarthritis and Cartilage. 2024 Apr 1;32:S145-6.
A Stroke Specific Neural Network to Estimate Continuous Gait Speed Using a Single Inertial Measurement Unit. Lanotte F, Okita S, O'Brien MK, Jayaraman A. 2024 IEEE 20th International Conference on Body Sensor Networks (BSN) 2024 Oct 15 (pp. 1-4).
Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation. Tan T, Shull PB, Hicks JL, Uhlrich SD, Chaudhari AS. IEEE Transactions on Biomedical Engineering. 2024 Feb 5;71(7):2095-104.
Wearable Data Synthesis for Portable Biomechanics. Pearl OD. Doctoral dissertation, Carnegie Mellon University. 2024.
IMU-Based Kinematics Estimation Accuracy Affects Gait Retraining Using Vibrotactile Cues. Rokhmanova N, Pearl O, Kuchenbecker KJ, Halilaj E. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2024 Feb 12;32:1005-12.
Feasibility and validation of SageMotion, an IMU-based biofeedback system for gait retraining and modification: a comparative analysis with OpenCap on the execution of gait retraining techniques. Cinel S. Master’s thesis, University of Padova. 2024.
The efficacy and incorporation of biofeedback in medical professionals’ ergonomic awareness. Tuken D. Master's thesis, University of Iowa. 2024.
Step Width Estimation in Individuals With and Without Neurodegenerative Disease Via a Novel Data-Augmentation Deep Learning Model and Minimal Wearable Inertial Sensors. Wang H, Ullah Z, Gazit E, Brozgol M, Tan T, Hausdorff JM, Shull PB, Ponger P. IEEE Journal of Biomedical and Health Informatics. 2024 Sep 27.
Estimation of lower extremity joint moments and 3d ground reaction forces using imu sensors in multiple walking conditions: A deep learning approach. Hossain MS, Guo Z, Choi H. 2023 Mar 29;27(6):2829-40.
Wearable Biofeedback for Knee Joint Health: Improving Haptics for Precision Rehabilitation. Rokhmanova N. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems 2023 Apr 19 (pp. 1-5).
IMU and smartphone camera fusion for knee adduction and knee flexion moment estimation during walking. Tan T, Wang D, Shull PB, Halilaj E. IEEE Transactions on Industrial Informatics. 2022 Jul 11;19(2):1445-55.
Predicting knee adduction moment response to gait retraining with minimal clinical data. Rokhmanova N, Kuchenbecker KJ, Shull PB, Ferber R, Halilaj E. PLOS Computational Biology. 2022 May 16;18(5):e1009500.
Evaluating the validity and reliability of inertial measurement units for determining knee and trunk kinematics during athletic landing and cutting movements. Chia L, Andersen JT, McKay MJ, Sullivan J, Megalaa T, Pappas E. Journal of Electromyography and Kinesiology. 2021 Oct 1;60:102589.
Feasibility of wearable haptic biofeedback training for reducing the knee abduction moment during overground walking. Lindsey BW, Xu J, Chiasson D, Shull P, Cortes N. Journal of Biomechanical Engineering. 2021 Apr 1;143(4):044501.
Real-time Haptic Feedback System Validity and Its Feasibility for Runners in a Real-World Training Environment. Wong J, Sheerin K, Wyatt H. ISBS Proceedings Archive. 2021;39(1):156.
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