TY - JOUR
T1 - A comparison of stability metrics based on inverted pendulum models for assessment of ramp walking
AU - Pickle, Nathaniel T.
AU - Wilken, Jason M.
AU - Fey, Nicholas
AU - Silverman, Anne K.
N1 - Publisher Copyright:
This is an open access article, free of all copyright, and May be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
PY - 2018/11
Y1 - 2018/11
N2 - Maintaining balance on ramps is important for mobility. However, balance is commonly assessed using inverted pendulum-based metrics (e.g., margin of stability), which May not be appropriate for assessment of human walking on non-level surfaces. To investigate this, we analyzed stability on ramps using four different inverted pendulum models: extrapolated center of mass (XCOM), foot placement estimate (FPE), foot placement estimate neglecting angular momentum (FPE NoH ), and capture point (CAP). We analyzed experimental data from 10 able-bodied individuals walking on a ramp at 0, ±5, and ±10. Contrary to our hypothesis that the magnitude of differences between metrics would be greatest at ±10, we observed the greatest magnitude of differences between metrics at 0. In general, the stability metrics were bounded by FPE and CAP at each slope, consistent with prior studies of level walking. Our results also suggest that clinical providers and researchers should be aware that assessments that neglect angular momentum (e.g., margin of stability, XCOM) May underestimate stability in the sagittal-plane in comparison to analyses which incorporate angular momentum (e.g., FPE). Except for FPE NoH -CAP (r = 0.82), differences between metrics were only moderately correlated (|r|0.65) with violations of leg length assumptions in the underlying inverted pendulum models. The differences in FPE NoH relative to FPE and CAP were strongly correlated with body center of mass vertical velocity (max |r| = 0.92), suggesting that model representations of center of mass motion influence stability metrics. However, there was not a clear overall relationship between model inputs and differences in stability metrics. Future sensitivity analyses May provide additional insight into model characteristics that influence stability metrics.
AB - Maintaining balance on ramps is important for mobility. However, balance is commonly assessed using inverted pendulum-based metrics (e.g., margin of stability), which May not be appropriate for assessment of human walking on non-level surfaces. To investigate this, we analyzed stability on ramps using four different inverted pendulum models: extrapolated center of mass (XCOM), foot placement estimate (FPE), foot placement estimate neglecting angular momentum (FPE NoH ), and capture point (CAP). We analyzed experimental data from 10 able-bodied individuals walking on a ramp at 0, ±5, and ±10. Contrary to our hypothesis that the magnitude of differences between metrics would be greatest at ±10, we observed the greatest magnitude of differences between metrics at 0. In general, the stability metrics were bounded by FPE and CAP at each slope, consistent with prior studies of level walking. Our results also suggest that clinical providers and researchers should be aware that assessments that neglect angular momentum (e.g., margin of stability, XCOM) May underestimate stability in the sagittal-plane in comparison to analyses which incorporate angular momentum (e.g., FPE). Except for FPE NoH -CAP (r = 0.82), differences between metrics were only moderately correlated (|r|0.65) with violations of leg length assumptions in the underlying inverted pendulum models. The differences in FPE NoH relative to FPE and CAP were strongly correlated with body center of mass vertical velocity (max |r| = 0.92), suggesting that model representations of center of mass motion influence stability metrics. However, there was not a clear overall relationship between model inputs and differences in stability metrics. Future sensitivity analyses May provide additional insight into model characteristics that influence stability metrics.
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U2 - 10.1371/journal.pone.0206875
DO - 10.1371/journal.pone.0206875
M3 - Article
C2 - 30395597
AN - SCOPUS:85056216146
SN - 1932-6203
VL - 13
JO - PloS one
JF - PloS one
IS - 11
M1 - e0206875
ER -