{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:56:04Z","timestamp":1771026964484,"version":"3.50.1"},"reference-count":25,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T00:00:00Z","timestamp":1754092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Qatar Research, Development, and Innovation Council","award":["SR# 230829-000030 QRDI"],"award-info":[{"award-number":["SR# 230829-000030 QRDI"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Shaken Baby Syndrome (SBS) is one of the primary causes of fatal head trauma in infants and young children, occurring in about 33 per 100,000 infants annually in the U.S., with mortality rates being between 15% and 38%. Survivors frequently endure long-term disabilities, such as cognitive deficits, visual impairments, and motor dysfunction. Diagnosing SBS remains difficult due to the lack of visible injuries and delayed symptom onset. Existing detection methods\u2014such as neuroimaging, biomechanical modeling, and infant monitoring systems\u2014cannot perform real-time detection and face ethical, technical, and accuracy limitations. This study proposes an inertial measurement unit (IMU)-based detection system enhanced with machine learning to identify aggressive shaking patterns. Findings indicate that wearable-based motion analysis is a promising method for recognizing high-risk shaking, offering a non-invasive, real-time solution that could minimize infant harm and support timely intervention.<\/jats:p>","DOI":"10.3390\/s25154767","type":"journal-article","created":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T16:41:54Z","timestamp":1754325714000},"page":"4767","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Development of a Wearable-Based System for Detecting Shaken Baby Syndrome Using Machine Learning Models"],"prefix":"10.3390","volume":"25","author":[{"given":"Ram Kinker","family":"Mishra","sequence":"first","affiliation":[{"name":"BioSensics LLC, Newton, MA 02458, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8173-541X","authenticated-orcid":false,"given":"Khalid","family":"AlAnsari","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Sidra Medicine, Al Rayyan Road, Doha P.O. Box 26999, Qatar"},{"name":"Departments of Clinical Emergency and Clinical Pediatrics, Weill Cornell Medicine, 8C9R+735, Education City, Al Luqta St, Doha P.O. Box 24144, Qatar"},{"name":"Department of Clinical Pediatrics, Qatar University, Doha P.O. Box 2713, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rylee","family":"Cole","sequence":"additional","affiliation":[{"name":"BioSensics LLC, Newton, MA 02458, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arin","family":"Nazarian","sequence":"additional","affiliation":[{"name":"BioSensics LLC, Newton, MA 02458, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilkay Yildiz","family":"Potter","sequence":"additional","affiliation":[{"name":"BioSensics LLC, Newton, MA 02458, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashkan","family":"Vaziri","sequence":"additional","affiliation":[{"name":"BioSensics LLC, Newton, MA 02458, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Parks, S.E., Annest, J.L., Hill, H.A., and Karch, D.L. (2012). Pediatric Abusive Head Trauma: Recommended Definitions for Public Health Surveillance and Research, Centers for Disease Control and Prevention.","DOI":"10.1037\/e585042012-001"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1542\/peds.2009-0408","article-title":"Abusive head trauma in infants and children","volume":"123","author":"Christian","year":"2009","journal-title":"Pediatrics"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1097\/DBP.0b013e3180327b55","article-title":"Age-related incidence of publicly reported shaken baby syndrome cases: Is crying a trigger for shaking?","volume":"28","author":"Lee","year":"2007","journal-title":"J. Dev. Behav. Pediatr."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.chiabu.2013.08.014","article-title":"Child maltreatment deaths in the U.S. National Child Death Review Case Reporting System","volume":"38","author":"Palusci","year":"2014","journal-title":"Child Abus. Neglect."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1186\/s40621-021-00334-w","article-title":"Trends in shaken baby syndrome diagnosis codes among young children hospitalized for abuse","volume":"8","author":"Conrad","year":"2021","journal-title":"Inj. Epidemiol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"515","DOI":"10.3171\/2015.3.PEDS14544","article-title":"Outcomes and factors associated with infant abusive head trauma in the US","volume":"16","author":"Pelissier","year":"2015","journal-title":"J. Neurosurg. Pediatr. Ped."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.chiabu.2018.08.011","article-title":"Long-term impact of abusive head trauma in young children","volume":"85","author":"Ugiliweneza","year":"2018","journal-title":"Child Abus. Negl."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1007\/s00431-011-1598-z","article-title":"Abusive head trauma Part I: Clinical aspects","volume":"171","author":"Boos","year":"2012","journal-title":"Eur. J. Pediatr."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Giardino, A., Lyn, M., and Giardino, E. (2010). Abusive Head Trauma. A Practical Guide to the Evaluation of Child Physical Abuse and Neglect, Springer.","DOI":"10.1007\/978-1-4419-0702-8"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Cartocci, G., Fineschi, V., Padovano, M., Scopetti, M., Rossi-Espagnet, M.C., and Giann\u00ec, C. (2021). Shaken Baby Syndrome: Magnetic Resonance Imaging Features in Abusive Head Trauma. Brain Sci., 11.","DOI":"10.3390\/brainsci11020179"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1007\/s12024-019-0082-3","article-title":"Modeling of inflicted head injury by shaking trauma in children: What can we learn?: Part II: A systematic review of mathematical and physical models","volume":"15","author":"Vester","year":"2019","journal-title":"Forensic Sci. Med. Pathol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3721","DOI":"10.3390\/s150203721","article-title":"Wearable sensor systems for infants","volume":"15","author":"Zhu","year":"2015","journal-title":"Sensors"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Leo, M., Bernava, G.M., Carcagn\u00ec, P., and Distante, C. (2022). Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions. Sensors, 22.","DOI":"10.3390\/s22030866"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Shamsir, S., Hassan, O., and Islam, S.K. (2020, January 25\u201328). Smart infant-monitoring system with machine learning model to detect physiological activities and ambient conditions. Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Online Conference.","DOI":"10.1109\/I2MTC43012.2020.9129295"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1038\/s43856-024-00653-1","article-title":"At-home wearable-based monitoring predicts clinical measures and biological biomarkers of disease severity in Friedreich\u2019s Ataxia","volume":"4","author":"Mishra","year":"2024","journal-title":"Commun. Med."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1038\/s43856-025-00770-5","article-title":"Using wearable sensors and machine learning to assess upper limb function in Huntington\u2019s disease","volume":"5","author":"Nunes","year":"2025","journal-title":"Commun. Med."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"240254","DOI":"10.29026\/oea.2025.240254","article-title":"Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification","volume":"8","author":"Li","year":"2025","journal-title":"Opto-Electron. Adv."},{"key":"ref_18","unstructured":"Jefson, C.A. (2003). The Impact of RealCare\u00ae Baby and the Baby Think It Over Curriculum on Urban Middle School Students\u2019 Perceptions of Parenting and Self-Efficacy."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"p.2219166","DOI":"10.1080\/2331186X.2023.2219166","article-title":"The toolkit and Real-Care-Baby intervention\u2013experiences of teachers and school staff in conducting an intervention about future parenting","volume":"10","author":"Randell","year":"2023","journal-title":"Cogent. Educ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1111\/jar.12535","article-title":"An intervention using the Parenting Toolkit \u201cChildren\u2014What does it involve?\u201d and the Real-Care-Baby simulator among students with intellectual disability\u2014A feasibility study","volume":"32","author":"Larsson","year":"2019","journal-title":"J. Appl. Res. Intellect. Disabil."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1093\/hsw\/hlad037","article-title":"Gaining an Empathetic Insight into Parenting: Evaluating Infant Simulator Dolls for Professional Learning","volume":"49","author":"Whiting","year":"2024","journal-title":"Health Soc. Work."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3154","DOI":"10.1109\/TIFS.2021.3076932","article-title":"Gini-impurity index analysis","volume":"16","author":"Yuan","year":"2021","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1186\/s40814-018-0256-x","article-title":"Development and feasibility of a wearable infant wrist band for the objective measurement of physical activity using accelerometery","volume":"4","author":"Prioreschi","year":"2018","journal-title":"Pilot Feasibility Stud."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Sousa, L.M., Paulino, N., Ferreira, J.C., and Bispo, J. (2022, January 23\u201325). A flexible hls hoeffding tree implementation for runtime learning on fpga. Proceedings of the 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), Valletta, Malta.","DOI":"10.1109\/MELECON53508.2022.9843092"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Alajlan, N.N., and Ibrahim, D.M. (2022). TinyML: Enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications. Micromachines, 13.","DOI":"10.3390\/mi13060851"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/25\/15\/4767\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:21:42Z","timestamp":1760034102000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/25\/15\/4767"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,2]]},"references-count":25,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["s25154767"],"URL":"https:\/\/doi.org\/10.3390\/s25154767","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,2]]}}}