Amyotrophic lateral sclerosis (ALS) disease, also
known as motor neuron disease, is a disease resulting from loss of
motor nerve cells in the spinal cord and brain stem region at
central nervous system. Researchers can’t find the reason of ALS
for certain, however there are a wide variety of risk factors in
respect of this disease. This disease has more than one risk factor.
Researchers believe that it is resulted from a virus which leads to
abnormality in immune system, spoils the structure of DNA and
functioning of enzyme system, exhibiting neurotoxic properties.
The signals coming to a single arm or leg muscle from upper and
lower motor neurons are highly determinative in diagnosis of the
disease, although there is not a specific test for diagnosing the
ALS disease for certain. Doctors still conduct many tests even
though the main symptoms of ALS are the signals coming to
muscles. The developments related to gait analysis are used an
auxiliary factor in diagnosis and analysis of ALS diseases. In this
study, gait signals from control individuals and ALS diseases
have been recorded by means of sensors sensitive to the strength
under the foot. These signals’ time-amplitude, amplitude
spectrum, phase spectrum, average value and variance changes
have been analyzed. As a result of these inspections, differences of
ALS signals from control signals have been identified.