DocumentCode
1532330
Title
Functional Evaluation and Rehabilitation Engineering
Author
Aliverti, Andrea ; Frigo, C. ; Andreoni, G. ; Baroni, G. ; Bonarini, A. ; Cerveri, P. ; Crivellini, M. ; Dellacà, R. ; Ferrigno, G. ; Galli, M. ; Pedrocchi, A. ; Rodano, R. ; Santambrogio, G.C. ; Tognola, G. ; Pedotti, A.
Author_Institution
Dipt. di Bioingegneria, Politec. di Milano, Milan, Italy
Volume
2
Issue
3
fYear
2011
Firstpage
24
Lastpage
34
Abstract
Politecnico di Milano has a long-lasting tradition in the field of movement analysis. Since the early 1980s, methods and technologies for 3-D motion capture have been designed and prototyped at the Dipartimento di Bioingegneria. Mathematical models and numerical simulations of the musculoskeletal and sensory motor control systems have been developed under different conditions, including microgravity and sport activities. These methods and techniques have pioneered the clinical applications of quantitative analysis of movement, posture, equilibrium, gait, and motor control for the evaluation of patients with motor disabilities throughout a multifactorial approach, including not only biomechanics (statics, kinematics, dynamics, and kinetics) but also functional signaling and imaging [EMG, EEG, NIRS, and fMRI]. Important current activities and future perspectives in the fields of functional assessment of the respiratory system and rehabilitation engineering, including quantitative and objective evaluation during the rehabilitation process, developments of man-machine interfaces, rehabilitation robotics, neuroprostheses, functional evaluation and development of advanced orthotic devices, orthopedic surgical treatment planning, sensory augmentation, and substitution, are being developed.
Keywords
bone; gait analysis; muscle; patient rehabilitation; sport; 3D motion capture; EEG imaging; EMG imaging; NIRS imaging; biomechanics; fMRI imaging; functional evaluation; functional signaling; microgravity; movement analysis; musculoskeletal system; rehabilitation engineering; sensory motor control system; sport activities; Computational modeling; Electromyography; Kinematics; Motion segmentation; Nervous system; Patient rehabilitation; Adult; Bioengineering; Child; Computer-Aided Design; Electromyography; Fiducial Markers; Gait; Humans; Motion; Neural Prostheses; Rehabilitation; Task Performance and Analysis; Therapy, Computer-Assisted;
fLanguage
English
Journal_Title
Pulse, IEEE
Publisher
ieee
ISSN
2154-2287
Type
jour
DOI
10.1109/MPUL.2011.941520
Filename
5783422
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