Mariusz Bedla

Dr. Mariusz Bedla


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 February 2022 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
MBMariusz Bedla
Mariusz Bedla
PPPaweł Pięta
Paweł Pięta
DKDaniel Kaczmarski
Daniel Kaczmarski
Stanisław DeniziakStanisław Deniziak
Stanisław Deniziak
A standardized observational instrument designed to measure change in gross motor function over time in children with cerebral palsy is the Gross Motor Function Measure (GMFM). The process of evaluating a value for the GMFM index can be time consuming. It typically takes 45 to 60 min for the patient to complete all tasks, sometimes in two or more sessions. The diagnostic procedure requires trained and specialized therapists. The paper presents the estimation of the GMFM measure for patients with cerebral palsy based on the results of the Zebris FDM-T treadmill. For this purpose, the regression analysis was used. Estimations based on the Generalized Linear Regression were assessed using different error metrics. The results obtained showed that the GMFM score can be estimated with acceptable accuracy. Because the Zebris FDM-T is a widely used device in gait rehabilitation, our method has the potential to be widely adopted for objective diagnostics of children with cerebral palsy.

2 April 2016
Verified
Book Chapter
Closed access
PDF file
Adam KrechowiczAdam Krechowicz
Adam Krechowicz
Stanisław DeniziakStanisław Deniziak
Stanisław Deniziak
MBMariusz Bedla
Mariusz Bedla
ACArkadiusz Chrobot
Arkadiusz Chrobot
GŁGrzegorz Łukawski
Grzegorz Łukawski

1 January 2008 in Annales UMCS, Informatica
Verified
Journal Article
Closed access
PDF file
KSKrzysztof Sapiecha
Krzysztof Sapiecha
BŁBarbara Łukawska
Barbara Łukawska
MBMariusz Bedla
Mariusz Bedla
Computer-based system for training and ranking mobot operators - selection procedureMobots (mobile robots) remote-controlled by human operators are more and more widely used for watching and guarding. A mobot should not be controlled by an occasional person. A human being has to show specific ability to be a good mobot operator. This ability is individual for each person and can be discovered with the help of an experiment which is time-consuming and expensive. Then the problem arises whether there is a simple and cheap test of this ability or not and, which is more technical, how to find out such a test. The paper addresses this problem. The experimental data are compared with those obtained with the help of two quick and cheap tests and some correlations between them are pointed out.