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Table 9 Vector of weights obtained from multi-dimensional LDA. Discriminators listed are described in Table 2. Results shown in the table are for the first iteration with all discriminators and the final reduced set to obtain the highest accuracy

From: Robotic pilot study for analysing spasticity: clinical data versus healthy controls

Discriminate

1st Iteration

Final Iteration

X maxForce

0.0113

0.0065

Y maxForce

–0.0369

–0.0363

Z maxForce

–0.0263

–0.0274

\( \bar {Fx} \)

0.0026

0.0028

\( \bar {Fy} \)

0.0003

·

\( \bar {Fz} \)

0.0012

0.0009

\( \bar {Ftot} \)

0.0005

·

F X max

0.0000

·

F Y max

–0.0003

·

F Z max

–0.0003

–0.0002

F t o t max

0.0003

0.0003

\( \hat {F}_{\textit {up}} \)

0.0041

0.0038

\( \hat {F}_{\textit {up}} \)

0.0013

0.0009