mTest3 – Gait
A prospective evaluation of clinical and instrumental features before and after ventriculo-peritoneal shunt in patients with idiopathic normal pressure hydrocephalus: the Bologna PRO-Hydro study
Authors: Giulia Giannini, Giorgio Palandri, Alberto Ferrari, Federico Oppi, David Milletti, Luca Albini-Riccioli, Paolo Mantovani, Stefania Magnoni, Lorenzo Chiari, Pietro Cortelli, Sabina Cevoli
A Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters
Authors: Alberto Ferrari, Pieter Ginis, Michael Hardegger, Filippo Casamassima, Laura Rocchi, and Lorenzo Chiari
Gait analysis in children with cerebral palsy via inertial and magnetic sensors
Authors: Josien van den Noort, Alberto Ferrari, Andrea Giovanni Cutti, Jules Becher, Jaap Harlaar
“Outwalk”: a protocol for clinical gait analysis based on inertial & magnetic sensors
Authors: Andrea Giovanni Cutti, Alberto Ferrari, Pietro Garofalo, Michele Raggi, Angelo Cappello, Adriano Ferrari
First in-vivo assessment of “Outwalk” – a novel protocol for clinical gait analysis based on inertial & magnetic sensors
Authors: Alberto Ferrari, Andrea Giovanni Cutti, Pietro Garofalo, Michele Raggi, Monique Heijboer, Angelo Cappello, Angelo Davalli
mTest3 – TUG
How do patients improve their timed up and go test? Responsiveness to rehabilitation of the TUG test in elderly neurological patients
Authors: Antonio Caronni, Michela Picardi, et al.
Towards Using the Instrumented Timed Up-and-Go Test for Screening of Sensory System Performance for Balance Control in Older Adults
Authors: Thomas Gerhardy, Katharina Gordt, et al.
Criterion validity of the instrumented Timed Up and Go test: A partial least square regression study.
Authors: Antonio Caronni, Irma Sterpi, et al.
Validity of a Smartphone-based instrumented Timed Up and Go
Authors: Sabato Mellone, Carlo Tacconi, Lorenzo Chiari
Quantification of motor impairment in Parkinson’s disease using an instrumented timed up and go test
Authors: Luca Palmerini, Guido Avanzolini, Sabato Mellone, Franco Valzania, Lorenzo Chiari
mTest3 – Sway
Balance testing with inertial sensors in patients with Parkinson’s Disease
Authors: Laura Rocchi, Luca Palmerini, Aner Weiss, Talia Herman, Jeffrey M. Hausdorff
Feature selection for Accelerometer-Based Posture Analysis in Parkinson’s Disease
Authors: Luca Palmerini, Laura Rocchi, Sabato Mellone, Franco Valzania, Lorenzo Chiari
Hilbert-Huang-based tremor removal to assess postural properties from accelerometers
Authors: Sabato Mellone, Luca Palmerini, Angelo Cappello, Lorenzo Chiari
Gait Tutor
Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson’s disease: A pilot randomized controlled trial
Authors: Pieter Ginis, Alice Nieuwboer, Moran Dorfman, Alberto Ferrari, Eran Gazit, Colleen G. Canning, Laura Rocchi, Lorenzo Chiari, Jeffrey M. Hausdorff, Anat Mirelman
Prolonged Walking with a Wearable System Providing Intelligent Auditory Input in People with Parkinson’s Disease.
Authors: Pieter Ginis, Elke Heremans, Alberto Ferrari, Kim Dockx, Colleen G. Canning, and Alice Nieuwboer
A Wearable System for Gait Training in Subjects with Parkinson’s Disease
Authors: Filippo Casamassima, Alberto Ferrari, Bojan Milosevic, Pieter Ginis, Elisabetta Farella, Laura Rocchi
Handling Gait Impairments of Persons with Parkinson’s Disease by Means of Real-Time Biofeedback in a Daily Life Environment.
Authors: Alberto Ferrari, Pieter Ginis, Alice Nieuwboer,
A Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters
Authors: Alberto Ferrari, Pieter Ginis, Michael Hardegger, Filippo Casamassima, Laura Rocchi, and Lorenzo Chiari
Assessment and rehabilitation of central sensory impairments for balance in mTBI using auditory biofeedback: a randomized clinical trial
Authors: Peter C. Fino, Robert J. Peterka, Timothy E. Hullar, Chad Murchison, Fay B. Horak, James C. Chesnutt, and Laurie A. King
Identification of Characteristic Motor Patterns Preceding Freezing of Gait in Parkinson’s Disease Using Wearable Sensors
Authors: Luca Palmerini1, Laura Rocchi, Sinziana Mazilu,Eran Gazit, Jeffrey M. Hausdorff,and Lorenzo Chiari