Relationships between full-day arm movement characteristics and developmental status in infants with typical development as they learn to reach: An observational study

Shida-Tokeshi, Joanne; Lane, Christianne J.; Trujillo-Priego, Ivan A.; Deng, Weiyang; Vanderbilt, Douglas; Loeb, Gerald E.; Smith, Beth A.

doi:10.12688/gatesopenres.12813.1

Cited by 10 publications

(9 citation statements)

References 33 publications

(21 reference statements)

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“…35 Despite difference in arm movement behaviors from adults, infants demonstrate narrowly distributed use ratio values, just like adults. Sensor data from a sample of infants (n= 22 infants observed over 73 visits, age 38-203 days 17,36 ) were re-examined to determine symmetry values. Since hand dominance is not yet established in this population, use ratio values were calculated as the ratio of hours of use of the less active side divided by the more active side.…”

Section: Variables Of Symmetry Earlier In the Lifespanmentioning

confidence: 99%

“…Relationships between full-day upper extremity movement variables and developmental status on standardized tests of infant development are just starting to be explored, and, to date, have been observed in infants with typical development using the Bayley Scales of Infant Development. 36 There is an important consideration in regard to measuring differences in asymmetry in populations across the lifespan. All of the examples of group differences published to date are from populations in which there is a known clinical presentation of asymmetry.…”

Section: Asymmetry Shows Evidence Of Being Different In Populations Wmentioning

confidence: 99%

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Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan

Smith

Lang

2019

Archives of Physical Medicine and Rehabilitation

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Knowledge of upper limb activity in the natural environment is critical for evaluating the effectiveness of rehabilitation services. Wearable sensors allow efficient collection of these data, and have the potential to be less burdensome than self-report measures of activity. Sensors can capture many different variables of activity and daily performance, many of which could be useful in identifying deviation from typical movement behavior and/or measuring outcomes from rehabilitation interventions. While it has potential, sensor measurement is just emerging and there is a lack of consensus on which variables of daily performance are valid, sensitive, specific, and useful. We propose that symmetry of full-day upper limb movement is a key variable. We describe here that symmetry is valid, robustly observed within a narrow range across the lifespan in typical development, and shows evidence of being different in populations with neuromotor impairment. Key next steps include the determination of sensitivity, specificity, minimal detectable change, and minimal clinically important change/difference. This information is needed to determine whether an individual belongs to the typical or atypical group, whether or not change has occurred, and whether or not that change is beneficial.

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Section: Variables Of Symmetry Earlier In the Lifespanmentioning

confidence: 99%

Section: Asymmetry Shows Evidence Of Being Different In Populations Wmentioning

confidence: 99%

Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan

Smith

Lang

2019

Archives of Physical Medicine and Rehabilitation

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“…Movement sensors (Opals, APDM, Inc., Portland, OR, USA) were placed, one each, on the infant’s left and right ankles. As our work [1,3,4,5,6] and the work of others [8,9] has established a precedent for collecting wearable sensor data at the ankles to measure overall infant physical activity and developmental status, we placed the sensors on the ankles. Placement on the arms can be considered if arm reaching is the developmental skill of interest [2].…”

Section: Methodsmentioning

confidence: 99%

“…In past infant studies, we used wearable sensors to identify the number of infant leg and arm movement bouts produced across a day in the natural environment, as well as the duration, acceleration, and type of each (e.g., unilateral or bilateral) [1,2,3]. Specific characteristics of limb movements have been shown to be related to motor development in infants and can classify infants at risk of developmental delay [1,4,5,6]. However, the effect of caregiver-produced background motion on infant wearable sensor data is unknown.…”

Section: Introductionmentioning

confidence: 99%

Quantifying Caregiver Movement when Measuring Infant Movement across a Full Day: A Case Report

Zhou

Schaefer

Smith

2019

Sensors

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There is interest in using wearable sensors to measure infant movement patterns and physical activity, however, this approach is confounded by caregiver motion. The purpose of this study is to estimate the extent that caregiver motion confounds wearable sensor data in full-day studies of infant leg movements. We used wearable sensors to measure leg movements of a four-month-old infant across 8.5 hours, during which the infant was handled by the caregiver in a typical manner. A researcher mimicked the actions of the caregiver with a doll. We calculated 7744 left and 7107 right leg movements for the infant and 1013 left and 1115 right “leg movements” for the doll. In this case, approximately 15% of infant leg movements can be attributed to background motion of the caregiver. This case report is the first step toward removing caregiver-produced background motion from the infant wearable sensor signal. We have estimated the size of the effect and described the activities that were related to noise in the signal. Future research can characterize the noise in detail and systematically explore different methods to remove it.

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“…Wearable sensors remained on for the rest of the day. Wearable sensor data are reported in previous publications10,11 and are not discussed further here.…”

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confidence: 99%

Relationships between variance in electroencephalography relative power and developmental status in infants with typical development and at risk for developmental disability: An observational study

Hooyman¹,

Kayekjian²,

Xiao³

et al. 2018

Gates Open Res

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Background: Electroencephalography (EEG) is a non-invasive tool that has the potential to identify and quantify atypical brain development. We introduce a new measure here, variance of relative power of resting-state EEG. We sought to assess whether variance of relative power of resting-state EEG could predict i) classification of infants as typical development (TD) or at risk (AR) for developmental disability, and ii) Bayley developmental scores at the same visit or future visits. Methods: A total of 22 infants with TD participated, aged between 38 and 203 days. In addition, 11 infants broadly at risk participated (6 high-risk pre-term, 4 low-risk pre-term, 1 high-risk full-term), aged between 40 and 225 days of age (adjusted for prematurity). We used EEG to measure resting-state brain function across months. We calculated variance of relative power as the standard deviation of the relative power across each of the 32 EEG electrodes. The Bayley Scales of Infant Development (3rd edition) was used to measure developmental level. Infants were measured 1-6 times each, with 1 month between measurements. Results: Our main findings were: i) variance of relative power of resting state EEG can predict classification of infants as TD or AR, and ii) variance of relative power of resting state EEG can predict Bayley developmental scores at the same visit (Bayley raw fine motor, Bayley raw cognitive, Bayley total raw score, Bayley motor composite score) and at a future visit (Bayley raw fine motor). Conclusions: This was a preliminary, exploratory, small study. Our results support variance of relative power of resting state EEG as an area of interest for future study as a biomarker of neurodevelopmental status and as a potential outcome measure for early intervention.

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Relationships between full-day arm movement characteristics and developmental status in infants with typical development as they learn to reach: An observational study

Cited by 10 publications

References 33 publications

Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan

Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan

Quantifying Caregiver Movement when Measuring Infant Movement across a Full Day: A Case Report

Relationships between variance in electroencephalography relative power and developmental status in infants with typical development and at risk for developmental disability: An observational study

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