Estimation of severity of amyotrophic lateral sclerosis using signal processing techniques

Loss of motor neurons leads to Amyotrophic lateral sclerosis (ALS) in human beings. It is characterized by altered gait rhythm. In this work, gait data is collected from both normal and pathological subjects. Data collected in each case is divided into multiple blocks and average value of each block is found. Number of times signals crossing average value is found. Depending on the result obtained in each case and in comparison with normal, severity estimation is made.