Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy.
So far, developed diagnostic strategies for the early detection of movement disorders due to infantile cerebral palsy (ICP) in newborns are not easily applicable in clinical settings. They are either difficult to acquire or they are too expensive to be established in pediatric clinics and are not su...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 48; no. 8; pp. 765 - 773 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104912423&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104912423 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2010 vid: 48 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104912423 NLM20446047 2010713738 10.1007/s11517-010-0624-z NLM20446047 104912423 ppf: 765 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy. aug: au: Heinze F Hesels K Breitbach-Faller N Schmitz-Rode T Disselhorst-Klug C Heinze, Franziska Hesels, Katharina Breitbach-Faller, Nico Schmitz-Rode, Thomas Disselhorst-Klug, Catherine affil: Chair of Applied Medical Engineering, RWTH Aachen University, Aachen, Germany sug: subj: Cerebral Palsy Complications Movement Disorders Diagnosis Movement Disorders Etiology Accelerometry Algorithms Case Control Studies Cerebral Palsy Physiopathology Early Diagnosis Female Human Infant Infant, Newborn Male Movement Physiology Infant: 1-23 months Infant, Newborn: birth-1 month Female Male ab: So far, developed diagnostic strategies for the early detection of movement disorders due to infantile cerebral palsy (ICP) in newborns are not easily applicable in clinical settings. They are either difficult to acquire or they are too expensive to be established in pediatric clinics and are not sufficiently usable to be integrated into daily routine. The aim of this study therefore was to develop a methodology that allows the objective diagnosis of developing movement disorders in newborns due to ICP. It should be applicable to pediatric offices and should easily integrate in daily routine. To achieve this, a simple to use and low-cost system based on accelerometers was developed to evaluate the newborn's movement. Afterward, a classificator based on a decision tree algorithm was implemented to differentiate between healthy and pathological data in order to propose the most likely diagnosis. The developed methodology was validated in a clinical study with 19 healthy and 4 affected subjects that were evaluated at the first, third and fifths month after birth (corrected age). The overall detection rate of the developed methodology reached between 88 and 92% for all evaluated measurements. The developed methodology is simple to use, therefore is applicable for the objective diagnosis of developing movement disorders in newborns due to ICP and can be established in pediatric offices for use in daily routine. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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