Hand Fatigue Analysis Using Quantitative Evaluation of Variability in Drawing Patterns

• Main Authors: mohamadali Sanjari, farzaneh , Haghighat, gholamreza Olyaee, aliashraf Jamshidi
• Format: Article
• Language: fas
• Published: Yasuj University Of Medical Sciences 2015-02-01
• Series: Armaghane Danesh Bimonthly Journal
• Subjects: Fatigue; Variability; Drawing pattern
• Online Access: http://armaghanj.yums.ac.ir/browse.php?a_code=A-10-1-19&slc_lang=en&sid=1

Background & aim: Muscle fatigue is defined as the reduced power generation capacity of a muscle or muscle group after activity which can lead to a variety of lesions. The purpose of the present study was to define the fatigue analysis by quantitative analysis using drawing patterns. Methods: the present cross-sectional study was conducted on 37 healthy volunteers (6 men and 31 women) aged 18-30 years. Before & immediately after a fatigue protocol, quantitative assessment of hand drawing skills was performed by drawing repeated, overlapping, and concentric circles. The test was conducted in three sessions with an interval of 48-72 hours. Drawing was recorded by a digital tablet. Data were statistically analyzed using paired t-test and repeated measure ANOVA. Result: In drawing time series data analysis, at fatigue level of 100%, the variables standard deviation along x axis (SDx), standard deviation of velocity on both x and y axis (SDVx and SDVy) and resultant vector velocity standard deviation (SDVR), showed significant differences after fatigue (P<0.05). In comparison of variables after the three fatigue levels, SDx showed significant difference (P<0.05). Conclusions: structurally full fatigue showed significant differences with other levels of fatigue, so it contributed to significant variability in drawing parameters. The method used in the present study recognized the fatigue in high frequency motion as well.