Skm Varadhan

TL;DR: In this paper, the authors present a framework for assessing upper-limb functioning using sensors by providing: (a) a set of definitions of important constructs associated with upper limb functioning; (b) different visualization methods for evaluating upper limb function; and (c) two new measures for quantifying how much an upper limb is used and the relative bias in their use.

TL;DR: In this article, an inertial measurement unit (IMU)-based girder was used for activity counting for measuring arm use, which is prone to overestimation due to non-functional movements.

TL;DR: In this article, the authors examined the contribution of the peripheral fingers towards object stabilization when the rotational equilibrium is disturbed, and found that the change in the normal force of the little finger due to the downward translation of the thumb was significantly greater than the normal forces of the index finger during the upward translation.

TL;DR: In this paper , the authors examined the validity of the mechanical advantage hypothesis of grasping in a paradigm wherein the thumb tangential force was constrained to a minimal constant magnitude, by placing the thumb on a freely movable slider platform.

TL;DR: Intra-subject random forest machine learning measures were found to classify upper limb use more accurately than other measures and use information about the orientation and the amount of movement of the forearm to detectupper limb use.