, it is shown that the stride-to-stride time during walking in the persons suffering from neurological diseases alters with a complex pattern.
, it is shown that in the normal subjects, the stride-to-stride time changes in the arbitrary and complex way. In addition to the aforementioned studies, the analysis of stride-to-stride variability can be used for the gait analysis in the ALS patients. Furthermore, the recent studies have been focused on using the computer-based methods for recognition and measurement of gait parameters. In the recent years, the automatic methods have been introduced for biomedical diagnosis of different diseases such as Alzheimer, lung cancer, breast cancer, and Parkinson. Hence, the investigation of walking parameters may help for both better perception of motor control mechanism and also diagnosing neurological diseases such as ALS in its early stages. ALS progression can be resulted in the lack of volunteer movements, and so, the disability to normal walking can be commonly seen in many cases. Both atrophy and weakness of muscles are the main symptoms of ALS.
These types of neurons located in the central nervous system (CNS) play an important role in the control of volunteer movements in humans. Amyotrophic lateral sclerosis (ALS) is a progressive and, in some cases, fatal disease, which is caused by the deterioration of motor neurons.
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