Diagnosis of the motion pathologies based on a reduced kinematical data of a gait

Adam Świtoński; Romualda Mucha; Dariusz Danowski; Monika Mucha; Andrzej Polański; Grzegorz Cieślar; Konrad Wojciechowski; Aleksander Sieroń

Diagnosis of the motion pathologies based on a reduced kinematical data of a gait

Przetłumaczony tytuł wkładu: Diagnostyka patologii ruchu na podstawie zredukowanych danych kinematycznych

Adam Świtoński
, Romualda Mucha
, Dariusz Danowski
, Monika Mucha
, Andrzej Polański
, Grzegorz Cieślar
, Konrad Wojciechowski
, Aleksander Sieroń

Katedra Grafiki, Wizji Komputerowej i Systemów Cyfrowych (RAU/RAU6)

Polish-Japanese Academy of Information Technology
Medical University of Silesia in Katowice
Goczalkowice Zdrój

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

7 Cytowania z bazy Scopus

Abstrakt

The paper presents method of motion analysis supporting diagnosis of gait abnormalities on the basis of reduced kinematical data of a gait. The proposed method consist of the following steps: kinematical data reduction by Principal Component Analysis, determination of the Fourier component for the 3D PCA trajectories and supervised learning. To examine proposed approach, we have collected database of gaits containing data of coxarthrosis patients. We have got 100% of classification accuracy for the considered disease.

Przetłumaczony tytuł wkładu	Diagnostyka patologii ruchu na podstawie zredukowanych danych kinematycznych
Język oryginału	angielski
Strony (od–do)	173-176
Liczba stron	4
Czasopismo	Przeglad Elektrotechniczny
Tom	87
Numer wydania	12 B
Status publikacji	Opublikowano - 2011

Obszary tematyczne ASJC Scopus

Inżynieria elektryczna i elektroniczna

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

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title = "Diagnosis of the motion pathologies based on a reduced kinematical data of a gait",

abstract = "The paper presents method of motion analysis supporting diagnosis of gait abnormalities on the basis of reduced kinematical data of a gait. The proposed method consist of the following steps: kinematical data reduction by Principal Component Analysis, determination of the Fourier component for the 3D PCA trajectories and supervised learning. To examine proposed approach, we have collected database of gaits containing data of coxarthrosis patients. We have got 100\% of classification accuracy for the considered disease.",

keywords = "Coxarthrosis, Fourier transform, Motion capture, Supervised learning",

author = "Adam {\'S}wito{\'n}ski and Romualda Mucha and Dariusz Danowski and Monika Mucha and Andrzej Pola{\'n}ski and Grzegorz Cie{\'s}lar and Konrad Wojciechowski and Aleksander Siero{\'n}",

year = "2011",

language = "English",

volume = "87",

pages = "173--176",

journal = "Przeglad Elektrotechniczny",

issn = "0033-2097",

publisher = "Wydawnictwo SIGMA-NOT",

number = "12 B",

}

TY - JOUR

T1 - Diagnosis of the motion pathologies based on a reduced kinematical data of a gait

AU - Świtoński, Adam

AU - Mucha, Romualda

AU - Danowski, Dariusz

AU - Mucha, Monika

AU - Polański, Andrzej

AU - Cieślar, Grzegorz

AU - Wojciechowski, Konrad

AU - Sieroń, Aleksander

PY - 2011

Y1 - 2011

N2 - The paper presents method of motion analysis supporting diagnosis of gait abnormalities on the basis of reduced kinematical data of a gait. The proposed method consist of the following steps: kinematical data reduction by Principal Component Analysis, determination of the Fourier component for the 3D PCA trajectories and supervised learning. To examine proposed approach, we have collected database of gaits containing data of coxarthrosis patients. We have got 100% of classification accuracy for the considered disease.

AB - The paper presents method of motion analysis supporting diagnosis of gait abnormalities on the basis of reduced kinematical data of a gait. The proposed method consist of the following steps: kinematical data reduction by Principal Component Analysis, determination of the Fourier component for the 3D PCA trajectories and supervised learning. To examine proposed approach, we have collected database of gaits containing data of coxarthrosis patients. We have got 100% of classification accuracy for the considered disease.

KW - Coxarthrosis

KW - Fourier transform

KW - Motion capture

KW - Supervised learning

UR - https://www.scopus.com/pages/publications/82655170674

M3 - Article

AN - SCOPUS:82655170674

SN - 0033-2097

VL - 87

SP - 173

EP - 176

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 12 B

ER -

Diagnosis of the motion pathologies based on a reduced kinematical data of a gait

Abstrakt

Obszary tematyczne ASJC Scopus

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Cytowanie