Title :
Analysis of grasping strategies and function in hemiparetic patients using an instrumented object
Author :
Jarrasse, Nathanael ; Kuhne, Markus ; Roach, Nicholas ; Hussain, Amir ; Balasubramanian, S. ; Burdet, E. ; Roby-Brami, Agnes
Author_Institution :
Inst. of Intell. Syst. & Robot., Univ. Pierre et Marie Curie, Paris, France
Abstract :
This paper validates a novel instrumented object, the iBox, dedicated to the analysis of grasping and manipulation. This instrumented box can be grasped and manipulated, is fitted with an Inertial Measurement Unit (IMU) and can sense the force applied on each side and transmits measured force, acceleration and orientation data wirelessly in real time. The iBox also provides simple access to data for analysing human motor control features such as the coordination between grasping and lifting forces and complex manipulation patterns. A set of grasping and manipulation experiments was conducted with 6 hemiparetic patients and 5 healthy control subjects. Measures made of the forces, kinematics and dynamics are developed, which can be used to analyse grasping and contribute to assessment in patients. Quantitative measurements provided by the iBox reveal numerous characteristics of the grasping strategies and function in patients: variations in the completion time, changes in the force distribution on the object and grasping force levels, difficulties to adjust the level of applied forces to the task and to maintain it, along with movement smoothness decrease and pathological tremor.
Keywords :
biomechanics; force sensors; medical control systems; IMU; complex manipulation patterns; dynamics; force distribution; forces; grasping analysis; grasping strategies; healthy control subjects; hemiparetic patients; human motor control feature analysis; iBox; inertial measurement unit; instrumented object; kinematics; manipulation analysis; movement smoothness; pathological tremor; quantitative measurements; Face; Force; Force measurement; Grasping; Instruments; Sensors; Thumb;
Conference_Titel :
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6022-7
DOI :
10.1109/ICORR.2013.6650379