tailieunhanh - báo cáo khoa học: " Bayesian aggregation versus majority vote in the characterization of non-specific arm pain based on quantitative needle electromyography"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Bayesian aggregation versus majority vote in the characterization of non-specific arm pain based on quantitative needle electromyography | Hamilton-Wright et al. Journal of NeuroEngineering and Rehabilitation 2010 7 8 http content 7 1 8 l dl JOURNAL OF NEUROENGINEERING NCR AND REHABILITATION RESEARCH Open Access Bayesian aggregation versus majority vote in the characterization of non-specific arm pain based on quantitative needle electromyography Andrew Hamilton-Wright1 2 3 Linda McLean 1 Daniel W Stashuk4 Kristina M Calder1 Abstract Background Methods for the calculation and application of quantitative electromyographic EMG statistics for the characterization of EMG data detected from forearm muscles of individuals with and without pain associated with repetitive strain injury are presented. Methods A classification procedure using a multi-stage application of Bayesian inference is presented that characterizes a set of motor unit potentials acquired using needle electromyography. The utility of this technique in characterizing EMG data obtained from both normal individuals and those presenting with symptoms of nonspecific arm pain is explored and validated. The efficacy of the Bayesian technique is compared with simple voting methods. Results The aggregate Bayesian classifier presented is found to perform with accuracy equivalent to that of majority voting on the test data with an overall accuracy greater than . Theoretical foundations of the technique are discussed and are related to the observations found. Conclusions Aggregation of motor unit potential conditional probability distributions estimated using quantitative electromyographic analysis may be successfully used to perform electrodiagnostic characterization of non-specific arm pain. It is expected that these techniques will also be able to be applied to other types of electrodiagnostic data. Background It is generally accepted that non-specific arm pain NSAP is caused by physical exposures in the workplace including repetitiveness awkward postures and high forces and this condition is commonly reported in the .