Mahesh Veezhinathan

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In this work detection of pulmonary abnormalities carried out using flow-volume spirometer and Radial Basis Function Neural Network (RBFNN) is presented. The spirometric data were obtained from adult volunteers (N=100) with standard recording protocol. The pressure and resistance parameters were derived using the theoretical approximation of the activation(More)
Cognitive measures are directed to assess the load of working memory while performing different tasks. Excessive load on working memory hinders learning or performance of individuals. The recommended remedy is to measure and design instructional systems that optimize the use of working memory capacity and avoid cognitive overload. Lexile measure is the(More)
In this work, classification of spirometric pulmonary function test data performed using two artificial neural network methods is compared and reported. The pulmonary function data (N=150) were obtained from volunteers, using commercially available Spirometer, and recorded by standard data acquisition protocol. The data were then used to train (N=100) as(More)
unprecedented increase and the pacemaker has been instrumental in expanding the life span of patients. The internally implanted pacemakers are guaranteed 8-10 years of life but get dysfunctional within 4 years due to a variety of problems. The pacemakers which survive this encounter problems with the pace timing leading to a serious problem, pacemaker(More)
Spirometry evaluates the integrated function of lung capacity and chest wall mechanics measuring the total volume of air forcefully exhaled from a fully inflated lung. This non-invasive, informative technique for characterizing pulmonary function has an important role in clinical trials to narrow the differential diagnosis of subjects being assessed for(More)
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