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Quantified Assessment of Infant’s Gross Motor Abilities Using a Multisensor Wearable
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神経科学
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JoVE Journal 神経科学
Quantified Assessment of Infant’s Gross Motor Abilities Using a Multisensor Wearable

Quantified Assessment of Infant’s Gross Motor Abilities Using a Multisensor Wearable

DOI:
10.3791/65949-v

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09:24 min

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May 17, 2024

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, , , , , , ,
1BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, New Children’s Hospital and HUS Imaging, Helsinki,University Hospital, 2Department of Pediatric Neurology, Children’s Hospital,Helsinki University Hospital and University of Helsinki, 3Department of Materials Science and Engineering,Universitat Politècnica de Catalunya, 4生理学科,University of Helsinki

章

  • 00:05Introduction
  • 01:27Preparing the Suit for a Recording Session
  • 03:22Preparing and Dressing the Infant for a Recording Session
  • 03:54Recording Session
  • 05:18Cloud-based Analyses: Upload of Raw Data and Download of Results
  • 06:15Representative Results
  • 08:21Discussion

概要

自動翻訳

自動翻訳

This paper outlines the assessment of infants' gross motor performance with a multisensor wearable and its fully automated deep learning-based analysis pipeline. The method quantifies the posture and movement patterns of infants from lying supine until they master walking independently.

タグ

Multisensor WearableMAIJUInfantGross Motor AbilitiesMotor DevelopmentMotor AssessmentStandardized MilestonesAutomatedScalableObjectiveSensorSensor PairingRecordingHome Recordings

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