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Automated movement recognition to predict motor impairment in high‐risk infants: a systematic review of diagnostic test accuracy and meta‐analysis

Raghuram, Kamini ; Orlandi, Silvia ; Church, Paige ; [et al.]

Wiley ; 2021

In: Developmental Medicine & Child Neurology Vol. 63, No. 6 ( 2021-06), p. 637-648

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In: Developmental Medicine & Child Neurology, Wiley, Vol. 63, No. 6 ( 2021-06), p. 637-648

Abstract: Automated movement recognition is sensitive and specific and warrants further investigation. Sensor‐based technologies have higher specificity but are less portable. The performance of automated movement recognition is inferior to clinical General Movements Assessment. Emerging technologies such as 3D video analysis may improve its performance. Video Podcast: https://youtu.be/mWwQawBf3gU

Type of Medium: Online Resource

ISSN: 0012-1622 , 1469-8749

URL: Issue

URL: Article

DOI: 10.1111/dmcn.v63.6

DOI: 10.1111/dmcn.14800

RVK:

XA 10000

Language: English

Publisher: Wiley

Publication Date: 2021

detail.hit.zdb_id: 2001992-0