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Advisor(s)
Abstract(s)
Human gait is a complex motion that implies the
movement of different parts of the body such as arms, legs and
feet, being the functional human movements’ analysis
indispensable for bio-mechanical diagnostic and treatment tool
for clinics and rehabilitation services. During the rehabilitation
process, walkers are frequently prescribed to improve the
patient’s stability but can also be transformed into instruments
for quantitative evaluation of rehabilitation progress by
embedding sensors to capture the motion characteristics. In this
work, a practical approach concerning the possibilities to use
microwave Doppler radars embedded in four wheels walkers for
gait capture is presented. The signals acquired from the sensors
are processed using time-frequency transform such as STFT. A
set of gait characteristics, such as gait velocity and stride rate, are
extracted based on wavelet signal processing, STFT spectrogram
and moving average filtering. A set of spectrogram features is
calculated to discriminate between normal and abnormal gait.
Description
Keywords
Gait Rehabilitation Microwave Doppler radar Wireless instrumentation Gait analysis