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Table 1 Clinical Data in Typically Developing Children

From: Assessment of upper limb use in children with typical development and neurodevelopmental disorders by inertial sensors: a systematic review

Author

Study type

Aims

Setting

Sample Size

Mean Age (yrs)

Inclusion Criteria

Exclusion Criteria

Reference Standard

[25] Birmingham A. T. et al. (1985)

Survey

To evaluate the variation of tremor frequency and amplitude in relation to the age

Laboratory

109

n = 22 (7–9), n = 28 (9–11), n = 24 (11–13), n = 22 (13–15), n = 13 (16–18)

To be attending specific schools or fit classes

NA

NA

[24] Avi Sadeh et al. (1994) [Study 1]

Lab-based validation and calibration study

To develop a new sleep-wake scoring algorithm

Laboratory

16

13.8 ± 1.9

Volunteers

NA

NA

[27] Deutsch K. M. et al. (2006)

Observational study

To investigate the mechanical and neural components of postural finger tremor

Laboratory

39

n = 20 (6.4 ± 3), n = 19 (10.5 ± 0.3), n = 21 (20.8 ± 1.4)

Volunteers

Neurological disorders, influencing tremor

NA

[34] Graves L.E.S. et al. (2008)

Observational study

To examine the contribution of the upper limb and total body movement to adolescents’ energy expenditure whilst playing videogames

Laboratory

13

11–17

Good health picture

NA

NA

[17] Davila E. M. (2011)

Observational study

To evaluate the influence of wearing AMs on the D vs ND wrists on measurements of free living PA

Laboratory + outpatient

20

12–17

1) volunteer participants from Bozeman, Montana, 2) 12–17 yrs

NA

NA

[21] Phillips L. R. S. et al. (2012)

Lab-based validation and calibration study

To develop physical activity intensity cut-points for use with GENEA accelerometer

Laboratory

44

10.9 ± 1.9

NA

NA

NA

[28] MacArthur B. et al. (2014)

2 × 2 mixed design with random allocation.

To measure percentage of time engaged in MVPA and estimated EE with accelerometry in playing AVG vs unstructured OP

ELC playground, ELC room

16 (8 OP vs. 8 AVG)

OP = 6.6 ± 0.7, AVG = 6.3 ± 0.9

1) good health, 2) healthy weight (BMI percentile = 5–85), 3) no limit for physical activity.

Grass allergies. Skin sensitivity to light. Failure to complete all session within a 3-week period.

NA

[19] Lemmens R. J. M. et al. (2015)

Cross sectional study

To evaluate the reliability of arm-hand tasks accelerometer records

Laboratory

32

n = 16 children (8.5 ± 1.7), n = 16 (14.6 ± 1.5)

Volunteers

Motor problems with arm, hand or shoulder

NA

[31] Kaneko M. et al. (2015)

Observational Study

To quantify age-appropriate developmental changes of SNS

Laboratory

233

4–12

Student at the Fukuoka Municipal Elementary School

NA

NA

[35] Dadashi F. et al. (2015) [Group 2]

Observational study

To characterise front-crawl swimming skills

Outdoor pool

9

16.0 ± 1.8

Recreational swimmers

NA

NA

[36] Mackintosh K.A. et al. (2016)

Observational study

To validate and compare ANNs

Laboratory, semi-structured setting

27

10.8 ± 1.0

Volunteers recruited via a local primary school. The children attended the the laboratory only if: 1) rested state, 2) at least 2 h postprandial, 3) strenous exercise and coffeine avoided in the previous 24 h

NA

NA

  1. ANNs Artificial Neural Networks, AVG Active Videogames, EE Energy Expenditure, ELC Early Learning Center, OP Outdoor Play, NA not available