Work

At-home wearable measurements provide detailed growth charts of infant early gross motor development

Year: 2026

Type: article

Study design: Observational Study

Source: Science Translational Medicine

DOI: 10.1126/scitranslmed.adz7035

Authors: Manu Airaksinen, Elisa Taylor, Taru Palsa, Sofie de Sena, Leena Haataja, Sampsa Vanhatalo

Institutions: University of Helsinki, Heidelberg University, Helsinki University Hospital, University Hospital Heidelberg, Hospital District of Helsinki and Uusimaa, Helsinki Children's Hospital

Language: English

Topic: Children's Physical and Motor Development

Subfield: Developmental and Educational Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Academy of Finland, Jane ja Aatos Erkon Säätiö, Sigrid Juséliuksen Säätiö, Suomen Aivosäätiö

Awards: Human movement activity recognition on real-world scales: MoveScales, Rhythms in Infant Brain 2: Wearables for Computational Diagnostics and Mobile Monitoring of Treatment (RIB-2), AInfants - Closing the gap between state-of-the-art machine learning and real-world clinical datasets of infant neurodevelopment, Biological embedding of Adversity into Baby Brain Activity (BABBA)

OpenAlex ID: W7170064098

FWCI:

Cites: 80

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