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    A neural network approach for assessing the relationship between grip strength and hand anthropometry
    (Institute of Computer Science, 2015) Çakıt, Erman; Durgun, Behice; Cetik, Oya
    This study aimed to determine grip strength data for Turkish dentistry students and developed prediction models that allow: i) investigation of the rela- tionship between grip strength and hand anthropometry using artificial neural net- works (ANNs) and stepwise regression analysis, ii) prediction of the grip strength of Turkish dentistry students, and iii) assessment of the potential impact of hand anthropometric variables on grip strength. The study included 153 right-handed dentistry students, consisting of 81 males and 72 females. From 44 anthropometric and biomechanical measurements obtained from the right hands of the participants; five anthropometric measurements were selected for ANN and regression modeling using stepwise regression analysis. We included stepwise regression analysis results to assess the predictive power of the neural network approach, in comparison to a classical statistical approach. When the model accuracy was calculated based on the coefficient of determination (R2), the root mean squared error (RMSE) and the mean absolute error (MAE) values for each of the models, ANN showed greater pre- dictive accuracy than regression analysis, as demonstrated by experimental results. For the best performing ANN model, the testing values of the models correlated well with actual values, with a coefficient of determination (R2) of 0.858. Using the best performing ANN model, sensitivity analysis was applied to determine the effects of hand dimensions on grip strength and to rank these dimensions in order of importance. The results suggest that the three most sensitive input variables are the forearm length, the hand breadth and the finger circumference at the first joint of digit 5 and that the ANNs are promising techniques for predicting hand grip strength based on hand breadth, finger breadth, hand length, finger circumference and forearm length. © CTU FTS 2015.
  • Küçük Resim
    Öğe
    Assessing the relationship between hand dimensions and manual dexterity performance for Turkish dental students
    (Springer Int Publishing Ag, 2016) Çakıt, Erman; Durgun, Behice; Çetik, Oya; Goonetilleke, R; Karwowski, W
    The objectives of this study included: (i) a determination of whether there is a difference in manual dexterity as a function of gender and dentistry curriculum and (ii) an assessment of hand anthropometric characteristics on manual dexterity test performance. In total, 155 dental students (86 males and 69 females) in their first, second, third, fourth, and fifth years of a five-year undergraduate program took part in the study that involved a simple manual dexterity test. We used a paired sample t-test to compare differences between males and females and among students of different years. Pearson's correlation coefficients were computed as a measure of association between parameters. The results demonstrate that anthropometric data of both hands have small but significant effects on test performance, and that small hands are associated with better test performance.