Christopher J. Gatti

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Musculoskeletal models use wrapping objects to constrain muscle paths from passing through anatomical obstacles; however, the selection of wrapping object parameters is typically a manual, iterative, and time-consuming process. The purpose of this study was to use a data-driven optimization algorithm to determine wrapping object parameters. Wrapping(More)
Pathology of the superior glenoid labrum is a common source of musculoskeletal pain and disability. One of the proposed mechanisms of injury to the labrum is superior humeral head migration, which can be seen with rotator cuff insufficiency. Due to the size, anatomical location, and complex composition of the labrum, laboratory experiments have many(More)
BACKGROUND Superior glenoid inclination, which is a relatively upward facing of the glenoid in the plane of the scapula, has been associated with rotator cuff pathology. Increased glenoid inclination may cause superior humeral head migration, which can cause impingement of the supraspinatus tendon. The purpose of this study was to test the hypothesis that(More)
BACKGROUND The ability of mathematical models of the shoulder to accurately replicate physiological muscle moment arms is unknown. The purpose of this study was to compare model-predicted and experimentally measured moment arms for the rotator cuff muscles during arm elevation. METHODS Moment arms obtained from six mathematical models and seven(More)
The effectiveness of water-training in maintaining cardiorespiratory endurance was investigated in 16 cross country athletes, 18--24 years. Following a competitive season, subjects were stress-tested (T1) and divided into three equated groups based on VO2 max. Group I (n=5) continued training as it had during the competition season. Group II (n=5) underwent(More)
BACKGROUND Accurate prediction of in vivo muscle forces is essential for relevant analyses of musculoskeletal biomechanics. The purpose of this study was to evaluate three methods for predicting muscle forces of the shoulder by comparing calculated muscle parameters, which relate electromyographic activity to muscle forces. METHODS Thirteen subjects(More)
The purpose of this paper is to evaluate and benchmark ensemble methods for time series prediction for daily currency exchange rates using ensemble feedforward neural networks and kernel partial least squares (K-PLS). Best-practice forecasting methods for the US Dollar (USD) per Indian Rupee (IR) are applied for training, validating, and testing the machine(More)
This study uses a design of experiments approach to understand the behavior of a neural network to learn the mountain car domain using the TD(λ) algorithm. A large experiment is first performed to characterize the probability of empirical convergence based on three parameters of the TD(λ) algorithm (λ, γ, ), and a logistic regression model is fitted to this(More)
This work presents a simple implementation of reinforcement learning, using the temporal difference algorithm and a neural network, applied to the board game of Chung Toi, which is a challenging variation of Tic-Tac-Toe. The implementation of this learning algorithm is fully described and includes all parameter settings and various techniques to improve the(More)