» Articles » PMID: 28613085

Determining if Wearable Sensors Affect Infant Leg Movement Frequency

Overview
Publisher Informa Healthcare
Date 2017 Jun 15
PMID 28613085
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: There is interest in using wearable sensors to measure infant leg movement patterns; however, they were not developed for infant use and their presence may adversely affect infant movement production. Their weight may discourage leg movement production, or their presence may annoy an infant and encourage higher rates of leg movement production. Our purpose was to determine whether wearable sensors affected the frequency of infant leg movements produced.

Method: We included 10 infants with typical development and 10 infants at risk of developmental delay, between 2 and 10 months' chronological age.

Results: After collecting and analyzing video recordings of infants, we found a negligible difference between the numbers of spontaneous leg movements made while infants wore sensors, compared to those without sensors.

Conclusions: Wearable sensors have a negligible effect on the frequency of infant leg movement production, supporting their use in infant movement analysis.

Citing Articles

A systematic review of portable technologies for the early assessment of motor development in infants.

Deng W, OBrien M, Andersen R, Rai R, Jones E, Jayaraman A NPJ Digit Med. 2025; 8(1):63.

PMID: 39870826 PMC: 11772671. DOI: 10.1038/s41746-025-01450-3.


Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks.

Laudanska Z, Lopez Perez D, Radkowska A, Babis K, Malinowska-Korczak A, Wallot S Entropy (Basel). 2022; 24(4).

PMID: 35455215 PMC: 9028366. DOI: 10.3390/e24040552.


A Contactless Method for Measuring Full-Day, Naturalistic Motor Behavior Using Wearable Inertial Sensors.

Franchak J, Scott V, Luo C Front Psychol. 2021; 12:701343.

PMID: 34744865 PMC: 8570382. DOI: 10.3389/fpsyg.2021.701343.


Using Wearable Sensor Technology to Measure Motion Complexity in Infants at High Familial Risk for Autism Spectrum Disorder.

Wilson R, Vangala S, Elashoff D, Safari T, Smith B Sensors (Basel). 2021; 21(2).

PMID: 33477359 PMC: 7830886. DOI: 10.3390/s21020616.


3D Motion Capture May Detect Spatiotemporal Changes in Pre-Reaching Upper Extremity Movements with and without a Real-Time Constraint Condition in Infants with Perinatal Stroke and Cerebral Palsy: A Longitudinal Case Series.

Mazzarella J, McNally M, Richie D, Chaudhari A, Buford J, Pan X Sensors (Basel). 2020; 20(24).

PMID: 33352727 PMC: 7766939. DOI: 10.3390/s20247312.


References
1.
Jiang C, de Armendi J, Smith B . Immediate Effect of Positioning Devices on Infant Leg Movement Characteristics. Pediatr Phys Ther. 2016; 28(3):304-10. PMC: 4922547. DOI: 10.1097/PEP.0000000000000272. View

2.
Ulrich B, Thelen E . Three-month-old infants can select specific leg motor solutions. Motor Control. 2002; 6(1):52-68. DOI: 10.1123/mcj.6.1.52. View

3.
Groenen A, Kruijsen A, Mulvey G, Ulrich B . Constraints on early movement: tykes, togs, and technology. Infant Behav Dev. 2009; 33(1):16-22. PMC: 2819569. DOI: 10.1016/j.infbeh.2009.10.002. View

4.
Smith B, Trujillo-Priego I, Lane C, Finley J, Horak F . Daily Quantity of Infant Leg Movement: Wearable Sensor Algorithm and Relationship to Walking Onset. Sensors (Basel). 2015; 15(8):19006-20. PMC: 4570357. DOI: 10.3390/s150819006. View

5.
McKay S, Angulo-Barroso R . Longitudinal assessment of leg motor activity and sleep patterns in infants with and without Down syndrome. Infant Behav Dev. 2006; 29(2):153-68. DOI: 10.1016/j.infbeh.2005.09.004. View