Measuring trunk orientation with a CMOS camera: feasibility and accuracy
Autor: | Anne-Sophie Gissot, Michel Paindavoine, G. Barbieri, Dominic Pérennou, M. Iacobelis |
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Přispěvatelé: | Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon] (LEAD), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), CHU Grenoble, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon] ( LEAD ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Université Joseph Fourier - Grenoble 1 ( UJF ) -CHU Grenoble |
Rok vydání: | 2006 |
Předmět: |
030506 rehabilitation
MESH : Stroke Computer science MESH: Videotape Recording MESH : Thorax Signal [ SDV.NEU.SC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences 0302 clinical medicine Image Processing Computer-Assisted Orthopedics and Sports Medicine Computer vision MESH : Algorithms CMOS sensor Orientation (computer vision) Noise (signal processing) Rehabilitation [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences MESH: Posture Thorax MESH: Image Processing Computer-Assisted MESH: Reproducibility of Results Stroke MESH : Software 0305 other medical science MESH : Image Processing Computer-Assisted Algorithms MESH : Feasibility Studies Posture Biophysics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing MESH: Algorithms MESH: Stroke MESH: Thorax 03 medical and health sciences MESH: Software Distortion Humans Simulation MESH : Videotape Recording MESH: Humans business.industry MESH : Reproducibility of Results MESH : Humans MESH : Posture Reproducibility of Results Videotape Recording Trunk Feasibility Studies Artificial intelligence business Parallax MESH: Feasibility Studies 030217 neurology & neurosurgery Software |
Zdroj: | Gait and Posture Gait and Posture, Elsevier, 2007, 26 (4), pp.603-6. ⟨10.1016/j.gaitpost.2006.12.004⟩ Gait and Posture, Elsevier, 2007, 26 (4), pp.603-6. 〈10.1016/j.gaitpost.2006.12.004〉 |
ISSN: | 0966-6362 |
DOI: | 10.1016/j.gaitpost.2006.12.004⟩ |
Popis: | International audience; The purpose of this study was to develop and validate a new tool to objectively quantify trunk orientation at the bedside, especially dedicated to the measurement of the lateropulsion in acute and subacute stroke patients. We developed software to analyze 2D movement with a CMOS camera (Logitech Quickcam Pro 4000) and to calculate the orientation of a segment defined by two color markers. First, the accuracy, reproducibility and noise when measuring segment orientations were evaluated with the CMOS camera placed in different positions, and second trunk orientation was measured in static and in dynamic conditions both with a CMOS camera and with a gold standard 3D video system (BTS SMART-e). Results showed that the measurement was accurate (mean error=0.05+/-0.12 degrees), reproducible (S.D. over five measurements=0.005 degrees ) and steady (noise signal=0.02 degrees ). The data obtained with the CMOS camera were highly correlated with those obtained with the 3D video system both in static and in dynamic conditions. However, the CMOS camera must be relatively well centered on the measured segment to avoid error due to image distortion. The parallax error was negligible. In conclusion, this could be an important step in the postural assessment of acute and subacute stroke patients. The CMOS camera, a simple, portable, compact, low-cost, commercially available apparatus is the first tool to objectively quantify lateropulsion at the bedside. This method could also support the development of a rehabilitation program for trunk orientation based on biofeedback using the real-time signal provided by the device. |
Databáze: | OpenAIRE |
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