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Table 2 Resume of functional linear modeling from \({AI}_{{MP,LP}_{trunk}}\) plus Total Movement predictors combination

From: Wearable accelerometers for measuring and monitoring the motor behaviour of infants with brain damage during CareToy-Revised training

Model outcome

Covariate and predictors

Coefficient

p-value

Overallp-value

Adjusted R2

MAE

MAPE (%)

AIMS

Assessment age

− 0.02

0.827

0.001**

0.99

1.02

8.74

Neuroimaging score

− 1.44

0.031*

Prematurity

− 1.77

0.019*

 \({\mathrm{AI}}_{{\mathrm{MP},\mathrm{LP}}_{\mathrm{trunk}}}\)

0.002**

 Total movement

0.009**

IMP variability

Assessment age

− 1.01

0.169

0.034*

0.9

8.96

14.55

Neuroimaging score

− 6.84

0.056

Prematurity

− 1.89

0.468

 \({\mathrm{AI}}_{{\mathrm{MP},\mathrm{LP}}_{\mathrm{trunk}}}\)

0.143

 Total movement

0.064

IMP symmetry

Assessment age

2.38

0.139

0.044*

0.88

16.99

21.43

Neuroimaging score

− 11.8

0.091

Prematurity

13.45

0.069

 \({\mathrm{AI}}_{{\mathrm{MP},\mathrm{LP}}_{\mathrm{trunk}}}\)

0.039*

 Total movement

0.154

IMP fluency

Assessment age

2.1

0.466

0.784

− 0.5

42

62.25

Neuroimaging score

3.48

0.754

Prematurity

6.95

0.546

 \({\mathrm{AI}}_{{\mathrm{MP},\mathrm{LP}}_{\mathrm{trunk}}}\)

0.763

 Total movement

0.9

IMP performance

Assessment age

0.05

0.936

0.033*

0.9

10.6

24.74

Neuroimaging score

2.53

0.388

Prematurity

− 7.26

0.064

 \({\mathrm{AI}}_{{\mathrm{MP},\mathrm{LP}}_{\mathrm{trunk}}}\)

0.041*

 Total movement

0.061

IMP total

Assessment age

0.88

0.040*

0.004**

0.98

4.07

6.29

Neuroimaging score

− 3.16

0.054

Prematurity

2.816

0.072

 \({\mathrm{AI}}_{{\mathrm{MP},\mathrm{LP}}_{\mathrm{trunk}}}\)

0.006**

 Total Movement

0.012*

  1. Significances are reported as *p < 0.05, **p < 0.01, ***p < 0.001