Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks

Prokopowicz, P.; Mikołajewski, D.; Tyburek, K.; Mikołajewska, E.; Prokopowicz, P.; Mikołajewski, D.; Tyburek, K.; Mikołajewska, E.

Journal

Bulletin of the Polish Academy of Sciences: Technical Sciences

2020 | 2 |

Article title

Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks

Authors

P. Prokopowicz , D. Mikołajewski , K. Tyburek , E. Mikołajewska , P. Prokopowicz , D. Mikołajewski , K. Tyburek , E. Mikołajewska

Content

Full texts:

oai-journals-pan-pl-115170/full-text/03D_191-198_01300_Bpast.No.68-2_29.04.20_K4A_SS_TeX.pdf

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Title variants

PL

Computational gait analysis for post-stroke rehabilitation purposes using fuzzy numbers, fractal dimension and neural networks

Languages of publication

EN

Abstracts

Keywords

EN

computational analysis spatio-temporal gait parameters fuzzy analysis gait classification disorder recognition

PL

Nauki Techniczne

Publisher

Polska Akademia Nauk

Journal

Bulletin of the Polish Academy of Sciences: Technical Sciences

Year

2020

Issue

2

Physical description

Contributors

author

P. Prokopowicz

author

D. Mikołajewski

author

K. Tyburek

author

E. Mikołajewska

author

P. Prokopowicz

author

D. Mikołajewski

author

K. Tyburek

author

E. Mikołajewska

References

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.oai-journals-pan-pl-115170