Show source-provided references
1. Estimating Recent US Limb Loss Prevalence and Updating Future Projections
2. (2025, November 19). Healthcare Common Procedure Coding System (HCPCS)|CMS, Available online: https://www.cms.gov/medicare/coding-billing/healthcare-common-procedure-system.
3. The Amputee Mobility Predictor: An Instrument to Assess Determinants of the Lower-Limb Amputee’s Ability to Ambulate
10.1053/apmr.2002.32309 ↗5. Patient-Reported Outcome Measures Following Traumatic Lower Extremity Amputation: A Systematic Review and Meta-Analysis
10.1097/GOX.0000000000003920 ↗7. Systematic Review on the Application of Wearable Inertial Sensors to Quantify Everyday Life Motor Activity in People with Mobility Impairments
10.1186/s12984-020-00779-y ↗8. Baroudi, L., Newman, M.W., Jackson, E.A., Barton, K., Shorter, K.A., and Cain, S.M. (2020). Estimating Walking Speed in the Wild. Front. Sports Act. Living, 2.
10.3389/fspor.2020.583848 ↗13. Mellema, M., and Gjøvaag, T. (2022). Reported Outcome Measures in Studies of Real-World Ambulation in People with a Lower Limb Amputation: A Scoping Review. Sensors, 22.
10.3390/s22062243 ↗15. Wang, Y., Chernyshoff, A., and Shkel, A.M. (2018, January 24–27). Error Analysis of ZUPT-Aided Pedestrian Inertial Navigation. Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nantes, France.
10.1109/IPIN.2018.8533814 ↗16. Solà, J. (2017). Quaternion Kinematics for the Error-State Kalman Filter. arXiv.
17. Wang, W., and Adamczyk, P.G. (2019). Analyzing Gait in the Real World Using Wearable Movement Sensors and Frequently Repeated Movement Paths. Sensors, 19.
10.3390/s19081925 ↗18. Wang, Y., Fehr, K.H., and Adamczyk, P.G. (2024). Impact-Aware Foot Motion Reconstruction and Ramp/Stair Detection Using One Foot-Mounted Inertial Measurement Unit. Sensors, 24.
10.3390/s24051480 ↗19. Kirk, C., Küderle, A., Micó-Amigo, M.E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., and Alcock, L. (2024). Mobilise-D Insights to Estimate Real-World Walking Speed in Multiple Conditions with a Wearable Device. Sci. Rep., 14.
20. (2025, November 26). Occupational Safety and Health Administration Stairways; 1910.25; 2019, Available online: https://www.osha.gov/laws-regs/regulations/standardnumber/1910/1910.25.
21. Minimal Clinically Important Difference in Walking Velocity, Gait Profile Score and Two Minute Walk Test for Individuals with Lower Limb Amputation
10.1016/j.gaitpost.2021.06.001 ↗25. Relationships between Dual-Task Related Changes in Stride Velocity and Stride Time Variability in Healthy Older Adults
10.1016/j.humov.2006.03.004 ↗27. Differences in Preferred Walking Speeds in a Gait Laboratory Compared with the Real World After Total Hip Replacement
10.1016/j.apmr.2010.06.015 ↗28. Discrepancies in Walking Speed Measurements Post-Bed-Rest: A Comparative Analysis of Real-World vs. Laboratory Assessments
10.1515/teb-2024-0029 ↗29. Is Every-Day Walking in Older Adults More Analogous to Dual-Task Walking or to Usual Walking? Elucidating the Gaps between Gait Performance in the Lab and during 24/7 Monitoring
10.1186/s11556-019-0214-5 ↗30. Renggli, D., Graf, C., Tachatos, N., Singh, N., Meboldt, M., Taylor, W.R., Stieglitz, L., and Schmid Daners, M. (2020). Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments. Front. Physiol., 11.
10.3389/fphys.2020.00090 ↗32. Psychosocial Factors Influence Physical Activity after Dysvascular Amputation: A Convergent Mixed-Methods Study
10.1002/pmrj.12466 ↗33. Validating a Fear-of-falling–Related Activity Avoidance Scale in Lower Limb Prosthesis Users
10.1002/pmrj.13063 ↗34. Zhou, L., Tunca, C., Fischer, E., Brahms, C.M., Ersoy, C., Granacher, U., and Arnrich, B. (2020, January 20–24). Validation of an IMU Gait Analysis Algorithm for Gait Monitoring in Daily Life Situations. Proceedings of the 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada.
10.1109/EMBC44109.2020.9176827 ↗35. Fehr, K.H., Bartloff, J.N., Wang, Y., Hetzel, S., and Adamczyk, P.G. (2024). Estimation of Minimum Foot Clearance Using a Single Foot-Mounted Inertial Sensor and Personalized Foot Geometry Scan. Sci. Rep., 14.
10.1038/s41598-024-63124-6 ↗36. Automatic Gait Events Detection with Inertial Measurement Units: Healthy Subjects and Moderate to Severe Impaired Patients
10.1186/s12984-024-01405-x ↗