title: A new route to non invasive diagnosis in neurodegenerative diseases?
abstract: We propose a simple dynamical system to interpret the gait time series from patients affected by three neurodegenerative diseases: Parkinson, Huntington and Amyotrophic Lateral Sclerosis. The model is shown to reproduce the main aspects of the experimental time series. Within this scenario, quantitative differences in specific indicators are detected thus opening up the perspective for innovative, non invasive, diagnosis procedures from direct measurements of gait dynamics.
authors.affiliation: Département des Mathématiques FUNDP, rempart de la vierge, 8, B 5000 Namur, Belgique. timoteo.carletti@fundp.ac.be
authors.forename: Timoteo
authors.initials: T
authors.lastname: Carletti
authors.forename: Duccio
authors.initials: D
authors.lastname: Fanelli
authors.forename: Alessio
authors.initials: A
authors.lastname: Guarino
mesh_terms: D000465:Algorithms; D000690:Amyotrophic Lateral Sclerosis / Q000175:diagnosis / Q000503:physiopathology; D001696:Biomechanical Phenomena; D005684:Gait / Q000502:physiology; D006801:Humans; D006816:Huntington Disease / Q000175:diagnosis / Q000503:physiopathology; D015233:Models, Statistical; D019636:Neurodegenerative Diseases / Q000175:diagnosis* / Q000503:physiopathology; D016011:Normal Distribution; D010300:Parkinson Disease / Q000175:diagnosis / Q000503:physiopathology