Sensory data fusion of pressure mattress and wireless inertial magnetic measurement units.
Head movement of infants is an important parameter for analysing infant motor patterns. Despite its importance, this field has received little sensory-based research in the past years. Therefore, we present a sensory-supported data fusion model for head movement analysis of infants in supine positio...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 53; no. 2; pp. 123 - 136 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Feb2015
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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=109775341&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109775341 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2015 vid: 53 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109775341 NLM25367736 2012885913 10.1007/s11517-014-1217-z NLM25367736 109775341 ppf: 123 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Sensory data fusion of pressure mattress and wireless inertial magnetic measurement units. aug: au: Rihar, Andraz Mihelj, Matjaz Kolar, Janko Pasic, Jure Munih, Marko Rihar, Andraž Mihelj, Matjaž Pašič, Jure affil: Laboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia sug: subj: Bar Coding Methods Movement Physiology Motor Activity Physiology Supine Position Physiology Algorithms Computer Simulation Head Physiology Human Infant Physical Sciences Magnetics Methods Orientation Pressure Videorecording Infant: 1-23 months ab: Head movement of infants is an important parameter for analysing infant motor patterns. Despite its importance, this field has received little sensory-based research in the past years. Therefore, we present a sensory-supported data fusion model for head movement analysis of infants in supine position. The sensory system comprises a pressure mattress and two wireless inertial magnetic measurement units, rendering precise, objective and non-intrusive information on pressure distribution and 3D trunk orientation, respectively. Algorithms first perform pressure data pre-processing and calculate image moments to acquire 2D trunk orientation. Afterwards, unscented Kalman filter is used for sensory data fusion. After additional data processing, head and trunk coordinates are calculated along with head displacement distance. The sensory system was tested on experimental measurements, performed in eight normally developing infants aged from 1 to 5 months. Results of several algorithm combinations were compared to referential video recordings in terms of head lifts. Combination of algorithms, incorporating head tracking and sensory data fusion provides completely accurate results in comparison to normative data. Statistical data analysis and referential optoelectronic measurements were performed to evaluate accuracy of the sensory fusion model. Suitability of the proposed sensory system for head movement analysis of infants in supine position was verified. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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