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Bio-Algorithms and Med-Systems

Editor-in-Chief: Roterman-Konieczna , Irena

CiteScore 2018: 0.29

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Source Normalized Impact per Paper (SNIP) 2018: 0.324

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Computational gait analysis using fuzzy logic for everyday clinical purposes – preliminary findings

Emilia Mikołajewska
  • Corresponding author
  • Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Department of Physiotherapy, Jagiellońska 13-15, 86-067 Bydgoszcz, Poland
  • Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, Neurocognitive Laboratory, Wileńska 5, 87-100 Toruń, Poland
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Piotr Prokopowicz
  • Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University in Bydgoszcz, Kopernika 1, 85-064 Bydgoszcz, Poland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Dariusz Mikolajewski
  • Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, Neurocognitive Laboratory, Wileńska 5, 87-100 Toruń, Poland
  • Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University in Bydgoszcz, Kopernika 1, 85-064 Bydgoszcz, Poland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2017-02-03 | DOI: https://doi.org/10.1515/bams-2016-0023



Proper, early, and exact identification of gait impairments and their causes is regarded as a prerequisite for specific therapy and a useful control tool to assess efficacy of rehabilitation. There is a need for simple tools allowing for quickly detecting general tendencies.


The aim of this paper is to present the outcomes of traditional and fuzzy-based analysis of the outcomes of post-stroke gait reeducation using the NeuroDevelopmental Treatment-Bobath (NDT-Bobath) method.

Materials and methods:

The research was conducted among 40 adult people: 20 of them after ischemic stroke constituted the study group, and 20 healthy people constituted the reference group. Study group members were treated through 2 weeks (10 therapeutic sessions) using the NDT-Bobath method. Spatio-temporal gait parameters were assessed before and after therapy and compared using novel fuzzy-based assessment tool.


Achieved results of rehabilitation, observed as changes of gait parameters, were statistically relevant and reflected recovery. One-number outcomes from the proposed fuzzy-based estimator proved moderate to high consistency with the results of the traditional gait assessment.


Observed statistically significant and favorable changes in the health status of patients, described by gait parameters, were reflected also in outcomes of fuzzy-based analysis. Proposed fuzzy-based measure increases possibility of the clinical gait assessment toward more objective clinical reasoning based on common use of the mHealth solutions.

Keywords: fuzzy-based analysis; gait; neurologic gait disorders; physical therapy modalities; rehabilitation


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About the article

Received: 2016-11-02

Accepted: 2016-12-28

Published Online: 2017-02-03

Published in Print: 2017-03-01

Author contributions: The authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Citation Information: Bio-Algorithms and Med-Systems, Volume 13, Issue 1, Pages 37–42, ISSN (Online) 1896-530X, ISSN (Print) 1895-9091, DOI: https://doi.org/10.1515/bams-2016-0023.

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