DocumentCode :
471568
Title :
Dependence of anticipatory postural adjustments for step initiation on task movement features: a study based on dynamometric and accelerometric data
Author :
Rocchi, Laura ; Mancini, Martina ; Chiari, Lorenzo ; Cappello, Angelo
Author_Institution :
Dept. of Electron., Comput. Sci. & Syst., Bologna Univ.
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
1489
Lastpage :
1492
Abstract :
The present study investigates the dependence of anticipatory postural adjustments (APA) for step initiation on velocity and length of the first step, by means of both dynamometric data, acquired by a force platform, and accelerometric data, achieved by means of sensor nodes positioned on the lower legs and on the trunk. Results focus on antero-posterior center of pressure (CoP) displacement and antero-posterior accelerations. Peak of backward CoP excursion during APA, considered as magnitude of APA, was found to depend mostly on step velocity, and, in less amount, to step length. Accelerometers detected a reliable accelerometric pattern during APA, and stance leg backward acceleration before stepping presents a peak with a behavior very similar to peak of CoP in terms of dependence on velocity and step. The results allow deduction on the role of APA to control step initiation, and suggest possible promising applications of portable and low-cost accelerometric sensors, to monitor motor performance in several fields as rehabilitation, clinics and closed loop applications
Keywords :
accelerometers; displacement measurement; dynamometers; gait analysis; mechanoception; neurophysiology; patient rehabilitation; CoP displacement; accelerometric data; accelerometric sensor; antero-posterior acceleration; antero-posterior center of pressure; anticipatory postural adjustment; closed loop application; dynamometric data; motor performance monitoring; rehabilitation program; sensor nodes; stance leg backward acceleration; task movement feature; Acceleration; Accelerometers; Biomedical monitoring; Biosensors; Cities and towns; Computer science; Kinematics; Leg; Parkinson´s disease; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260731
Filename :
4462045
Link To Document :
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