Trial-to-trial motor behavior during a reinforcement learning task in children ages 6 to 12.

Introduction: During practice, learners use available feedback from one trial to develop and implement motor commands for the next trial. Unsuccessful trials (i.e.

A Large Harmonized Upper and Lower Limb Accelerometry Dataset: A Resource for Rehabilitation Scientists.

Wearable sensors can measure movement in daily life, an outcome that is salient to patients, and have been critical to accelerating progress in rehabilitation research and practice. However, collecting and processing sensor data is burdensome, leaving many scientists with limited access to such data. To address these challenges, we present a harmonized, wearable sensor dataset that combines 2,885 recording days of sensor data from the upper and lower limbs from eight studies.

Motor competence is related to acquisition of error-based but not reinforcement learning in children ages 6 to 12.

Background: An essential component of childhood development is increasing motor competence. Poor motor learning is often thought to underlie impaired motor competence, but this link is unclear in previous studies.

Aims: Our aim was to test the relationship between motor competence and motor learning in the acquisition phase.

Corrigendum: Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.

[This corrects the article DOI: 10.3389/fped.2024.

Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.

Aim: The rise of wearable sensing technology shows promise for addressing the challenges of measuring motor behavior in pediatric populations. The current pediatric wearable sensing literature is highly variable with respect to the number of sensors used, sensor placement, wearing time, and how data extracted from the sensors are analyzed. Many studies derive conceptually similar variables via different calculation methods, making it hard to compare across studies and clinical populations.

Associations Between Coordination and Wearable Sensor Variables Vary by Recording Context but Not Assessment Type.

Motor coordination is an important driver of development and improved coordination assessments could facilitate better screening, diagnosis, and intervention for children at risk of developmental disorders. Wearable sensors could provide data that enhance the characterization of coordination and the clinical utility of that data may vary depending on how sensor variables from different recording contexts relate to coordination. We used wearable sensors at the wrists to capture upper-limb movement in 85 children aged 6-12.

Sensor-based categorization of upper limb performance in daily life of persons with and without neurological upper limb deficits.

Background: The use of wearable sensor technology (e.g., accelerometers) for tracking human physical activity have allowed for measurement of actual activity performance of the upper limb (UL) in daily life.

Treadmill training and overground gait: decision making for a toddler with spina bifida.

Background And Purpose: This case report describes a decision-making process that was used to progress a home-based intervention that coupled treadmill and walker stepping for a preambulatory toddler with spina bifida.

Case Description: The toddler in this report had an L4-L5 level lesion, and began this home-based intervention at 18 months of age when she was pulling to stand.

Intervention: The intervention included parameters for treadmill stepping that prepared this toddler for gait with orthotics and was progressed to overground walking with a walker using a decision-making algorithm based on data obtained from a parent log and coded video.