title: An automatic identification procedure to promote the use of FES-cycling training for hemiparetic patients.
abstract: Cycling induced by Functional Electrical Stimulation (FES) training currently requires a manual setting of different parameters, which is a time-consuming and scarcely repeatable procedure. We proposed an automatic procedure for setting session-specific parameters optimized for hemiparetic patients. This procedure consisted of the identification of the stimulation strategy as the angular ranges during which FES drove the motion, the comparison between the identified strategy and the physiological muscular activation strategy, and the setting of the pulse amplitude and duration of each stimulated muscle. Preliminary trials on 10 healthy volunteers helped define the procedure. Feasibility tests on 8 hemiparetic patients (5 stroke, 3 traumatic brain injury) were performed. The procedure maximized the motor output within the tolerance constraint, identified a biomimetic strategy in 6 patients, and always lasted less than 5 minutes. Its reasonable duration and automatic nature make the procedure usable at the beginning of every training session, potentially enhancing the performance of FES-cycling training.
authors.affiliation: NearLab, Department of Electronics, Information, and Bioengineering, Politecnico di Milano, NeuroEngineering and Medical Robotics Laboratory, Piazza Leonardo da Vinci 32, 20133, Milano, Italy Physical Medicine and Rehabilitation Unit, Scientific Institute of Lissone, Institute of Care and Research, Salvatore Maugeri Foundation IRCCS, Lissone, Italy.
authors.forename: Emilia
authors.initials: E
authors.lastname: Ambrosini
authors.affiliation: NearLab, Department of Electronics, Information, and Bioengineering, Politecnico di Milano, NeuroEngineering and Medical Robotics Laboratory, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
authors.forename: Simona
authors.initials: S
authors.lastname: Ferrante
authors.affiliation: Control Systems Group, Technische Universität Berlin, Einsteinufer 17, D-10587 Berlin, Germany.
authors.forename: Thomas
authors.initials: T
authors.lastname: Schauer
authors.affiliation: NearLab, Department of Electronics, Information, and Bioengineering, Politecnico di Milano, NeuroEngineering and Medical Robotics Laboratory, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
authors.forename: Giancarlo
authors.initials: G
authors.lastname: Ferrigno
authors.affiliation: Villa Beretta Rehabilitation Center, Valduce Hospital, Via Nazario Sauro 17, 23845 Costa Masnaga, Lecco, Italy.
authors.forename: Franco
authors.initials: F
authors.lastname: Molteni
authors.affiliation: NearLab, Department of Electronics, Information, and Bioengineering, Politecnico di Milano, NeuroEngineering and Medical Robotics Laboratory, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
authors.forename: Alessandra
authors.initials: A
authors.lastname: Pedrocchi
mesh_terms: D000328:Adult; D000368:Aged; D001642:Bicycling / Q000502:physiology*; D001930:Brain Injuries / Q000534:rehabilitation; D004558:Electric Stimulation / Q000379:methods*; D004576:Electromyography; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010291:Paresis / Q000534:rehabilitation*; D052097:Quadriceps Muscle / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D000071939:Stroke Rehabilitation; D055815:Young Adult
keywords: Functional electrical stimulation; cycling; hemiparesis; rehabilitation; stimulation Parameters