Gait Analysis Application

Abstract

Walking abnormalities are unusual and uncontrollable walking patterns that are usually due to diseases or injuries to the legs, feet, brain, spinal cord, or inner ear. The pattern of how a person walks is called the gait. Gait disorders predict functional decline in older adults. The gait application is developed using C# and C++ languages. This application would provide you one of the best interfaces which will better from many of other gait applications. This documentation also examines the utilization of various tools, for example C# and C++ used for coding Photoshop is used for designing different images. This application is used of for detection of Parkinson’s, Huntington, and lateral diseases and also for normal peoples. In the first step the mean values and standard deviation formula are applied on different records of patients and get the mean and standard deviation values. In second step all the patient data are distributed and arranged as a Parkinson’s, Huntington, Amulateral patients and also Normal peoples. By pressing show button you get the final value which is calculated from above both steps. By pressing browse you can select one file to compare data with him and get single patient result. Another option is report where you can get more than one patient record by entering multiple files. In this app you can also put multiple patient record and after getting result you also search patients through disease name for example if you press find ALS patients, only those patients records comes in front of you.