On the analysis of movement smoothness

被引:0
|
作者
Sivakumar Balasubramanian
Alejandro Melendez-Calderon
Agnes Roby-Brami
Etienne Burdet
机构
[1] Department of Bioengineering,Department of Physical Medicine and Rehabilitation
[2] Christian Medical College,ISIR, UPMC, CNRS UMR 7222
[3] Northwestern University,undefined
[4] Hocoma AG,undefined
[5] Agathe team INSERM U1150,undefined
[6] Department of Bioengineering,undefined
[7] Imperial College of Science,undefined
[8] Technology and Medicine,undefined
关键词
Smoothness; Sensorimotor assessment; Discrete movements; Rhythmic movements;
D O I
暂无
中图分类号
学科分类号
摘要
Quantitative measures of smoothness play an important role in the assessment of sensorimotor impairment and motor learning. Traditionally, movement smoothness has been computed mainly for discrete movements, in particular arm, reaching and circle drawing, using kinematic data. There are currently very few studies investigating smoothness of rhythmic movements, and there is no systematic way of analysing the smoothness of such movements. There is also very little work on the smoothness of other movement related variables such as force, impedance etc. In this context, this paper presents the first step towards a unified framework for the analysis of smoothness of arbitrary movements and using various data. It starts with a systematic definition of movement smoothness and the different factors that influence smoothness, followed by a review of existing methods for quantifying the smoothness of discrete movements. A method is then introduced to analyse the smoothness of rhythmic movements by generalising the techniques developed for discrete movements. We finally propose recommendations for analysing smoothness of any general sensorimotor behaviour.
引用
收藏
相关论文
共 50 条
  • [1] On the analysis of movement smoothness
    Balasubramanian, Sivakumar
    Melendez-Calderon, Alejandro
    Roby-Brami, Agnes
    Burdet, Etienne
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2015, 12
  • [2] Quantitative Analysis of Arm Movement Smoothness
    Szczesna, Agnieszka
    Blaszczyszyn, Monika
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2016 (ICNAAM-2016), 2017, 1863
  • [3] Quantitative analysis of movement smoothness in Parkinson's disease
    Gracies, J.
    Fried, S. J.
    Kappos, E. A.
    Fung, K.
    Tse, W.
    Weisz, D. J.
    MOVEMENT DISORDERS, 2006, 21 : S552 - S552
  • [4] Smoothness of movement in idiopathic cervical dystonia
    Caronni, Antonio
    Arcuri, Pietro
    Carpinella, Ilaria
    Marzegan, Alberto
    Lencioni, Tiziana
    Ramella, Marina
    Crippa, Alessandro
    Anastasi, Denise
    Rabuffetti, Marco
    Ferrarin, Maurizio
    Castagna, Anna
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [5] Movement smoothness measures stroke recovery
    Rohrer, BR
    Fasoli, S
    Krebs, HI
    Hughes, R
    Volpe, BT
    Frontera, WR
    Stein, J
    Hogan, N
    NEUROLOGY, 2002, 58 (07) : A191 - A192
  • [6] Smoothness of movement in idiopathic cervical dystonia
    Antonio Caronni
    Pietro Arcuri
    Ilaria Carpinella
    Alberto Marzegan
    Tiziana Lencioni
    Marina Ramella
    Alessandro Crippa
    Denise Anastasi
    Marco Rabuffetti
    Maurizio Ferrarin
    Anna Castagna
    Scientific Reports, 12
  • [7] Smoothness Metrics in Complex Movement Tasks
    Gulde, Philipp
    Hermsdoerfer, Joachim
    FRONTIERS IN NEUROLOGY, 2018, 9
  • [8] Movement smoothness impairment in idiopathic cervical dystonia
    Castagna, Anna
    Arcuri, Pietro
    Carpinella, Ilaria
    Marzegan, Alberto
    Lencioni, Tiziana
    Ramella, Marina
    Crippa, Alessandro
    Anastasi, Denise
    Rabuffetti, Marco
    Ferrarin, Maurizio
    Caronni, Antonio
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2021, 429
  • [9] A Robust and Sensitive Metric for Quantifying Movement Smoothness
    Balasubramanian, Sivakumar
    Melendez-Calderon, Alejandro
    Burdet, Etienne
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012, 59 (08) : 2126 - 2136
  • [10] Movement smoothness changes during stroke recovery
    Rohrer, B
    Fasoli, S
    Krebs, HI
    Hughes, R
    Volpe, B
    Frontera, WR
    Stein, J
    Hogan, N
    JOURNAL OF NEUROSCIENCE, 2002, 22 (18): : 8297 - 8304