Design and Usability of a Home Telerehabilitation System to Train ...
Design and Usability of a Home Telerehabilitation System to Train ...
Design and Usability of a Home Telerehabilitation System to Train ...
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Table 1: Performance scores<br />
T = target trajec<strong>to</strong>ry, X = response trajec<strong>to</strong>ry, N = number <strong>of</strong> data points in record<br />
Metric <strong>and</strong> Name Computation Algorithm Interpretation<br />
E = Total Error = RMS Error<br />
1 / 2<br />
⎛ 1<br />
2 ⎞<br />
⎜ ∑( X i − Ti<br />
) ⎟<br />
⎝ N<br />
⎠<br />
RMS error between response <strong>and</strong><br />
target.<br />
CE = Constant Error = Average<br />
Error<br />
1<br />
∑( X i − Ti<br />
)<br />
N<br />
Average error between response<br />
<strong>and</strong> target. Reveals bias above or<br />
below target.<br />
VE = Variable Error = St<strong>and</strong>ard<br />
Deviation<br />
1/<br />
2<br />
⎛ 1<br />
2 ⎞<br />
⎜ ∑(<br />
X i − Ti<br />
− CE)<br />
⎟<br />
⎝ N<br />
⎠<br />
St<strong>and</strong>ard deviation <strong>of</strong> the<br />
response about the bias. Measure<br />
the spread <strong>of</strong> the response.<br />
CE/VE CE / VE<br />
>1 for response far from target<br />
but consistent, 0 means response lags target.<br />
Fade (First half RMS)/(Last half RMS) > 1 means response getting<br />
smaller as trial proceeds.<br />
Frequency (Zero crossings <strong>of</strong><br />
Large score means subject has<br />
response)/(Zero crossings <strong>of</strong><br />
target)<br />
tremor.<br />
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