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Table 3 Summary of the analysis results

From: Smoothness metrics for reaching performance after stroke. Part 1: which one to choose?

Metric Duration/distance independence Harmonic disturbances Sub-movements Robustness
vsymm vasymm vsymm vasymm vsymm vasymm vsymm vasymm
NOS* No No No No No No No data+
SM Yes1 Yes1 Yes Yes No No High High4
MAPR Yes1 Yes1 No No No No High4 High4
VAL* No No No No Yes Yes High High
Peaks* Yes1 Yes1 Yes Yes No No Low Low
IPV Yes1 Yes1 Yes Yes No No Low Low
DSJt* Yes1 Yes Yes Yes No No Low Low
LDSJt* Yes1 Yes1 Yes Yes No No Low Low
DSJb* Yes Yes Yes Yes No No Low Low
LDSJb* Yes1 Yes1 Yes Yes No No Low Low
CM Yes1 Yes No No No2 No2 High4 High4
SPMR No No Yes Yes No No Low Low
SPM Yes1 Yes1 Yes Yes No No Low Low
SPAL No No Yes Yes No2,3 No2,3 High4 High4
SPARC Yes Yes Yes Yes No2,3 No2,3 High High
  1. ‘Yes’ means that the metric responded to the perturbations as expected, whereas ‘No’ means otherwise. 1There was no instance in the analysis where the metric value crossed the 10% threshold. 2The metric showed monotonic change for lag values greater than 0.2 s. 3The metric showed monotonic change when the derivative was estimated using steps of 0.06 s for the lag between sub-movements. 4 The metric was robust to all noise values added in the simulation. +Incomplete data. Metrics included are NOS* (number of sub-movements), SM (speed metric), MAPR (movement arrest period ratio), VAL* (velocity arc length), Peaks* (number of peaks), IPV (inverse of number of peaks and valleys), DSJt* and DSJb* (Dimensionless squared jerk), LDSJb* and LDSJt* (log of DSJt* and DSJb*), CM (correlation metric), SPMR (spectral metric), SPM (spectral method), SPAL (spectral arc length 2012), and SPARC (spectral arc length)