Skip to main content

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)