The Development of a Wearable-Based System for Detecting Shaken Baby Syndrome Using Machine Learning Models.

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Title: The Development of a Wearable-Based System for Detecting Shaken Baby Syndrome Using Machine Learning Models.
Authors: Mishra RK; BioSensics LLC, Newton, MA 02458, USA., AlAnsari K; Department of Emergency Medicine, Sidra Medicine, Al Rayyan Road, Doha P.O. Box 26999, Qatar.; Departments of Clinical Emergency and Clinical Pediatrics, Weill Cornell Medicine, 8C9R+735, Education City, Al Luqta St, Doha P.O. Box 24144, Qatar.; Department of Clinical Pediatrics, Qatar University, Doha P.O. Box 2713, Qatar., Cole R; BioSensics LLC, Newton, MA 02458, USA., Nazarian A; BioSensics LLC, Newton, MA 02458, USA., Potter IY; BioSensics LLC, Newton, MA 02458, USA., Vaziri A; BioSensics LLC, Newton, MA 02458, USA.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Aug 02; Vol. 25 (15). Date of Electronic Publication: 2025 Aug 02.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s25154767