Gait assessment in Parkinson's disease using waist-mounted smartphone
Alba Melissano
Gait assessment in Parkinson's disease using waist-mounted smartphone.
Rel. Gabriella Olmo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2019
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Abstract
Parkinson's disease (PD) is the second neurodegenerative disorder, expressed by motor and non-motor symptoms. One of the primary motor symptoms is gait impairment, that occurs with episodic (freezing of gait and festination) and continuous disturbances, characterized by reduction of step length and gait velocity and increase in stride-to-stride variability, that with postural instability intensifies fall risk. Currently, to assess motor condition and gait impairment progress, subjective and qualitative clinical evaluations are used, which may have negative effects on diagnosis, follow-up and treatment. Therefore, gait analysis systems (laboratory-based or laboratory-free) have been developed, providing objective and additional information to neurologists. The aim of this study was to carry out the assessment of PD walking, by the construction of a systems capable to detect steps, identify initial (heel-strike) and final (toe-off) contacts of gait cycle and discriminate them between left and right, in order to prove the feasibility of a simple and low cost system for home monitoring of gait impairment in PD subjects.
Data acquisition was executed with a waist-mounted smartphone, which includes several inertial sensors
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