The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bionic ankle–foot prosthesis normalizes walking gait for persons with leg amputation
Abstract
Over time, leg prostheses have improved in design, but have been incapable of actively adapting to different walking velocities in a manner comparable to a biological limb. People with a leg amputation using such commercially available passive-elastic prostheses require significantly more metabolic energy to walk at the same velocities, prefer to walk slower and have abnormal biomechanics compared with non-amputees. A bionic prosthesis has been developed that emulates the function of a biological ankle during level-ground walking, specifically providing the net positive work required for a range of walking velocities. We compared metabolic energy costs, preferred velocities and biomechanical patterns of seven people with a unilateral transtibial amputation using the bionic prosthesis and using their own passive-elastic prosthesis to those of seven non-amputees during level-ground walking. Compared with using a passive-elastic prosthesis, using the bionic prosthesis decreased metabolic cost by 8 per cent, increased trailing prosthetic leg mechanical work by 57 per cent and decreased the leading biological leg mechanical work by 10 per cent, on average, across walking velocities of 0.75–1.75 m s −1 and increased preferred walking velocity by 23 per cent. Using the bionic prosthesis resulted in metabolic energy costs, preferred walking velocities and biomechanical patterns that were not significantly different from people without an amputation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Because advances in exoskeletons (14, 57), prosthetics (33), and other assistive devices continue to bring about reductions in walking metabolism, valid baseline subtractions are necessary if the effect sizes resulting from these and other interventions are to be accurately quantified.”
From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Independent metabolic costs of supporting body weight and accelerating body mass during walking
Grabowski, A., Farley, C. T., & Kram, R. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00734.2004 · Cited by 251
Self-citation
Research works printed but not linked: 45
- Donelan J. M., 2002, Mechanical work for step-to-step transitions is a major determinant of the metabolic cost of human walking, J. Exp. Biol., 205, 3717, 10.1242/jeb.205.23.3717 · DOI · Paper page
- 10.1152/japplphysiol.00734 · DOI
- 10.1097/00003677-200504000-00006 · DOI · Paper page
- 10.1007/BF00699624 · DOI
- Winter D. A., 1983, Energy generation and absorption at the ankle and knee during fast, natural, and slow cadences, Clin. Ortho. Rel. Res., 175, 147, 10.1097/00003086-198305000-00021 · DOI
- 10.1242/jeb.044214 · DOI
- 10.1242/jeb.003970 · DOI
- 10.1016/j.jbiomech.2004.01.017 · DOI
- 10.1097/00008526-200203000-00003 · DOI
- 10.1016/j.apmr.2006.06.013 · DOI
- 10.1016/j.jbiomech.2006.07.009 · DOI
- 10.1016/j.apmr.2005.07.310 · DOI
- Torburn L., 1995, Energy-expenditure during ambulation in dysvascular and traumatic below-knee amputees: a comparison of 5 prosthetic feet, J. Rehabil. Res. Dev., 32, 111
- 10.1016/S0966-6362(99)00009-0 · DOI
- 10.1007/s00421-008-0764-0 · DOI
- 10.2522/ptj.20090125 · DOI
- 10.1109/ICMA.2006.257781 · DOI
- 10.1115/1.3005335 · DOI
- 10.1371/journal.pone.0009307 · DOI
- 10.1080/00222895.1983.10735302 · DOI
- Palmer M. L.. 2002 Sagittal plane characterization of normal human ankle function across a range of walking speeds. Masters thesis Massachusetts Institute of Technology MA USA.
- 10.1016/0021-9290(83)90067-2 · DOI
- Versluys R., 2007, Presented at the 12th World Congr. Int. Soc. Prosthet. Orthot.
- 10.1109/ICORR.2005.1501123 · DOI
- Au S. K., 2006, Presented at Dyn. Walking: Mech. Control Hum. Robot. Locomotion
- 10.1109/ICORR.2007.4428441 · DOI
- 10.1109/IEMBS.2007.4352965 · DOI
- Herr H., 2007, Proc. Biomech. Lower Limb Health, Dis. Rehabil., 72
- 10.1109/MRA.2008.927697 · DOI
- Au S. K.. 2009 A powered ankle-foot prosthesis that improves transtibital amputee ambulation. PhD thesis Massachusetts Institute of Technology Cambridge MA.
- 10.1115/DETC2007-34512 · DOI
- 10.1109/TRO.2008.2008747 · DOI
- 10.1109/TNSRE.2009.2039620 · DOI
- 10.1089/rstb.2010.0347 · DOI
- 10.1016/S0966-6362(97)01112-0 · DOI
- 10.1016/j.apmr.2007.03.016 · DOI
- Kandel E. R., 2000, Principles of neural science
- Centers for Medicare and Medicaid Services, 2001, US Department of Health and Human Services. HCFA Common Procedure Coding System (HCPCS)
- Brockway J. M., 1987, Derivation of formulae used to calculate energy expenditure in man, Hum. Nutr. Clin. Nutr., 41, 463
- 10.1016/S0021-9290(01)00169-5 · DOI
- 10.1152/jappl.1975.39.1.174 · DOI
- 10.2522/ptj.20060035 · DOI
- 10.1016/S0966-6362(02)00069-3 · DOI
- 10.1016/S0966-6362(03)00062-6 · DOI
- 10.1016/j.jbiomech.2010.08.015 · DOI
Cited by
Sorted by citations
Charkhkar, H., Shell, C. E., Marasco, P. D., Pinault, G. J., Tyler, D. J., & Triolo, R. J. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aac964 · Cited by 131
A Locomotion Intent Prediction System Based on Multi-Sensor Fusion
Chen, B., Zheng, E., & Wang, Q. (2014) · Sensors · doi:10.3390/s140712349 · Cited by 69
Walking economy is predictably determined by speed, grade, and gravitational load.
Ludlow, L. W., & Weyand, P. G. (2017) · Journal of applied physiology · doi:10.1152/japplphysiol.00504.2017 · Cited by 47
Ambulatory searching task reveals importance of somatosensation for lower-limb amputees
Christie, B. P., Charkhkar, H., Shell, C. E., Burant, C. J., Tyler, D. J., & Triolo, R. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-67032-3 · Cited by 37
EMG-based prediction of step direction for a better control of lower limb wearable devices
Anselmino, E., Mazzoni, A., & Micera, S. (2024) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2024.108305 · Cited by 15
Metadata
- Authors
- Herr, H. M., & Grabowski, A. M.
- Venue
- Proceedings of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2011-07-13
- Volume
- 279
- Issue
- 1728
- Pages
- 457-464
- ISSN
- 0962-8452
- 1471-2954
- Cited by
- 391
- References
- 1
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review