Computational Intelligence and Wavelet Transform in Walk Symmetry Analysis Using Accelerometers

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F25%3A63598838" target="_blank" >RIV/70883521:28140/25:63598838 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/25:00388076 RIV/00216208:11150/25:10513188 RIV/60461373:22340/25:43932963

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11075087" target="_blank" >https://ieeexplore.ieee.org/document/11075087</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DSP65409.2025.11075087" target="_blank" >10.1109/DSP65409.2025.11075087</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Computational Intelligence and Wavelet Transform in Walk Symmetry Analysis Using Accelerometers

Popis výsledku v původním jazyce

Computational intelligence and digital signal processing methods are fundamental mathematical tools widely used in biomedical and engineering applications. Gait symmetry analysis plays a very important role in detecting motion disorders in neurology, rehabilitation, and sports performance. This study focuses on data acquisition using a set of accelerometric sensors to record motion dynamics, ensure time synchronization of signals, and extract features for recognizing distinct motion patterns. The proposed methodology incorporates spectral analysis and digital filtering techniques to eliminate noise and irrelevant frequency components. Motion symmetry analysis is performed using energy distribution, calculated by discrete Fourier and wavelet transforms, with a focus on detailed coefficients at a specified decomposition level. Symmetry estimation is achieved by analyzing the ratio of energy within wavelet bands corresponding to the left and right sides of the body. Furthermore, spatial pattern distribution is analyzed to identify motion asymmetry, with artificial intelligence techniques employed for its evaluation. These results demonstrate the potential of computational intel-ligence in clinical diagnostics of specific neurological disorders.

Název v anglickém jazyce

Computational Intelligence and Wavelet Transform in Walk Symmetry Analysis Using Accelerometers

Popis výsledku anglicky

Computational intelligence and digital signal processing methods are fundamental mathematical tools widely used in biomedical and engineering applications. Gait symmetry analysis plays a very important role in detecting motion disorders in neurology, rehabilitation, and sports performance. This study focuses on data acquisition using a set of accelerometric sensors to record motion dynamics, ensure time synchronization of signals, and extract features for recognizing distinct motion patterns. The proposed methodology incorporates spectral analysis and digital filtering techniques to eliminate noise and irrelevant frequency components. Motion symmetry analysis is performed using energy distribution, calculated by discrete Fourier and wavelet transforms, with a focus on detailed coefficients at a specified decomposition level. Symmetry estimation is achieved by analyzing the ratio of energy within wavelet bands corresponding to the left and right sides of the body. Furthermore, spatial pattern distribution is analyzed to identify motion asymmetry, with artificial intelligence techniques employed for its evaluation. These results demonstrate the potential of computational intel-ligence in clinical diagnostics of specific neurological disorders.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotika a pokročilá průmyslová výroba</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 25TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING, DSP

ISBN

979-8-3315-1214-9

ISSN

1546-1874

e-ISSN

2165-3577

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Pylos

Datum konání akce

25. 6. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001556221900068