Literature DB >> 28268795

A novel portable, low-cost kinect-based system for motion analysis in neurological diseases.

Joao Paulo Silva Cunha, Ana Patricia Rocha, Hugo Miguel Pereira Choupina, Jose Maria Fernandes, Maria Jose Rosas, Rui Vaz, Felix Achilles, Anna Mira Loesch, Christian Vollmar, Elisabeth Hartl, Soheyl Noachtar.   

Abstract

Many neurological diseases, such as Parkinson's disease and epilepsy, can significantly impair the motor function of the patients, often leading to a dramatic loss of their quality of life. Human motion analysis is regarded as fundamental towards an early diagnosis and enhanced follow-up in this type of diseases. In this contribution, we present NeuroKinect, a novel system designed for motion analysis in neurological diseases. This system includes an RGB-D camera (Microsoft Kinect) and two integrated software applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer). The applications enable the preview, acquisition, review and management of data provided by the sensor, which are then used for motion analysis of relevant events. NeuroKinect is a portable, low-cost and markerless solution that is suitable for use in the clinical environment. Furthermore, it is able to provide quantitative support to the clinical assessment of different neurological diseases with movement impairments, as demonstrated by its usage in two different clinical routine scenarios: gait analysis in Parkinson's disease and seizure semiology analysis in epilepsy.

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Year:  2016        PMID: 28268795     DOI: 10.1109/EMBC.2016.7591199

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Age Matters: Objective Gait Assessment in Early Parkinson's Disease Using an RGB-D Camera.

Authors:  Beatriz Muñoz Ospina; Jaime Andrés Valderrama Chaparro; Juan David Arango Paredes; Yor Jaggy Castaño Pino; Andrés Navarro; Jorge Luis Orozco
Journal:  Parkinsons Dis       Date:  2019-06-13

2.  Contactless recording of sleep apnea and periodic leg movements by nocturnal 3-D-video and subsequent visual perceptive computing.

Authors:  Christian Veauthier; Juliane Ryczewski; Sebastian Mansow-Model; Karen Otte; Bastian Kayser; Martin Glos; Christoph Schöbel; Friedemann Paul; Alexander U Brandt; Thomas Penzel
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

3.  System for automatic gait analysis based on a single RGB-D camera.

Authors:  Ana Patrícia Rocha; Hugo Miguel Pereira Choupina; Maria do Carmo Vilas-Boas; José Maria Fernandes; João Paulo Silva Cunha
Journal:  PLoS One       Date:  2018-08-03       Impact factor: 3.240

  3 in total

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