Quantitative analysis of arm movement smoothness

Agnieszka Szczȩsna; Monika Błaszczyszyn

doi:10.1063/1.4992571

Quantitative analysis of arm movement smoothness

Agnieszka Szczȩsna
, Monika Błaszczyszyn

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

Opole University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

The paper deals with the problem of motion data quantitative smoothness analysis. We investigated values of movement unit, fluidity and jerk for healthy and paralyzed arm of patients with hemiparesis after stroke. Patients were performing drinking task. To validate the approach, movement of 24 patients were captured using optical motion capture system.

Original language	English
Title of host publication	International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016
Editors	Theodore E. Simos, Theodore E. Simos, Charalambos Tsitouras
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735415386
DOIs	https://doi.org/10.1063/1.4992571
Publication status	Published - 21 Jul 2017
Event	International Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016 - Rhodes, Greece Duration: 19 Sept 2016 → 25 Sept 2016

Publication series

Name	AIP Conference Proceedings
Volume	1863
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	International Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016
Country/Territory	Greece
City	Rhodes
Period	19/09/16 → 25/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

General Physics and Astronomy

Access to Document

10.1063/1.4992571

Cite this

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title = "Quantitative analysis of arm movement smoothness",

abstract = "The paper deals with the problem of motion data quantitative smoothness analysis. We investigated values of movement unit, fluidity and jerk for healthy and paralyzed arm of patients with hemiparesis after stroke. Patients were performing drinking task. To validate the approach, movement of 24 patients were captured using optical motion capture system.",

author = "Agnieszka Szczȩsna and Monika B{\l}aszczyszyn",

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doi = "10.1063/1.4992571",

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publisher = "American Institute of Physics Inc.",

editor = "Simos, \{Theodore E.\} and Simos, \{Theodore E.\} and Charalambos Tsitouras",

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address = "United States",

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Szczȩsna, A & Błaszczyszyn, M 2017, Quantitative analysis of arm movement smoothness. in TE Simos, TE Simos & C Tsitouras (eds), International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016., 400002, AIP Conference Proceedings, vol. 1863, American Institute of Physics Inc., International Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016, Rhodes, Greece, 19/09/16. https://doi.org/10.1063/1.4992571

Quantitative analysis of arm movement smoothness. / Szczȩsna, Agnieszka; Błaszczyszyn, Monika.
International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. ed. / Theodore E. Simos; Theodore E. Simos; Charalambos Tsitouras. American Institute of Physics Inc., 2017. 400002 (AIP Conference Proceedings; Vol. 1863).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Quantitative analysis of arm movement smoothness

AU - Szczȩsna, Agnieszka

AU - Błaszczyszyn, Monika

PY - 2017/7/21

Y1 - 2017/7/21

N2 - The paper deals with the problem of motion data quantitative smoothness analysis. We investigated values of movement unit, fluidity and jerk for healthy and paralyzed arm of patients with hemiparesis after stroke. Patients were performing drinking task. To validate the approach, movement of 24 patients were captured using optical motion capture system.

AB - The paper deals with the problem of motion data quantitative smoothness analysis. We investigated values of movement unit, fluidity and jerk for healthy and paralyzed arm of patients with hemiparesis after stroke. Patients were performing drinking task. To validate the approach, movement of 24 patients were captured using optical motion capture system.

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DO - 10.1063/1.4992571

M3 - Conference contribution

AN - SCOPUS:85026636140

T3 - AIP Conference Proceedings

BT - International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016

A2 - Simos, Theodore E.

A2 - Tsitouras, Charalambos

PB - American Institute of Physics Inc.

T2 - International Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016

Y2 - 19 September 2016 through 25 September 2016

ER -

Quantitative analysis of arm movement smoothness

Abstract

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Conference

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ASJC Scopus subject areas

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