Biarticular Muscles Influence Postural Responses: Implications for Treatment of Stiff-Knee Gait

Stiff knee gait is a prevalent and troublesome movement disorder among children with cerebral palsy, where peak knee flexion is diminished during swing phase. Rectus femoris transfer surgery, a common treatment for stiff-knee gait, reattaches the distal tendon of this biarticular, or two joint, muscle to a new site, such as the sartorius insertion on the tibia. Biarticular muscles play a unique role in motor control. As a biarticular muscle, rectus femoris may offer unrecognized benefits to maintain balance. This study uses musculoskeletal modeling and simulation to investigate the role of this biarticular muscle on balance recovery following support-surface translations. The hypothesis is that a preoperative simulation has increased balance recovery compared with two postoperative cases, and that a unilateral transfer simulation has improved balance recovery relative to a bilateral transfer. The influence of rectus femoris transfer surgery on balance recovery was assessed with forward dynamic simulations of a patient with cerebral palsy. A 3-dimensional musculoskeletal model was scaled to represent the size of the patient using previously collected gait analysis data. This pre-surgical model was altered to represent unilateral and bilateral rectus femoris tendon transfers to the sartorius. The mechanism used to maintain balance was based on a muscle stretch-reflex control model, where reflex properties were found using optimization. Each 6s simulation included 0.25s of quiet standing, 0.35s of support-surface translation (6 cm in the anterior and posterior directions, with a peak velocity of 23 cm/s), and 5.4s of balance recovery. Balance recovery was evaluated by recording whole-body center of mass displacements relative to the support surface. The preoperative simulations of balance recovery following support-surface translations maintained balance while both postoperative simulations did not. Moreover, the unilateral simulation maintained balance longer than the bilateral case in both support-surface translation directions. These findings support the hypothesis that the preoperative simulation has the best balance recovery, followed by the unilateral rectus femoris tendon transfer, and finally the bilateral transfer. This study’s results suggest that rectus femoris tendon transfer reduces balance recovery compared with the preoperative case, illustrating the biomechanical advantage that biarticular muscles have in motor control

Analysis and synthesis of bipedal humanoid movement : a physical simulation approach

textAdvances in graphics and robotics have increased the importance of tools for synthesizing humanoid movements to control animated characters and physical robots. There is also an increasing need for analyzing human movements for clinical diagnosis and rehabilitation. Existing tools can be expensive, inefficient, or difficult to use. Using simulated physics and motion capture to develop an interactive virtual reality environment, we capture natural human movements in response to controlled stimuli. This research then applies insights into the mathematics underlying physics simulation to adapt the physics solver to support many important tasks involved in analyzing and synthesizing humanoid movement. These tasks include fitting an articulated physical model to motion capture data, modifying the model pose to achieve a desired configuration (inverse kinematics), inferring internal torques consistent with changing pose data (inverse dynamics), and transferring a movement from one model to another model (retargeting). The result is a powerful and intuitive process for analyzing and synthesizing movement in a single unified framework.Computer Science

Visual motion processing and human tracking behavior

The accurate visual tracking of a moving object is a human fundamental skill that allows to reduce the relative slip and instability of the object's image on the retina, thus granting a stable, high-quality vision. In order to optimize tracking performance across time, a quick estimate of the object's global motion properties needs to be fed to the oculomotor system and dynamically updated. Concurrently, performance can be greatly improved in terms of latency and accuracy by taking into account predictive cues, especially under variable conditions of visibility and in presence of ambiguous retinal information. Here, we review several recent studies focusing on the integration of retinal and extra-retinal information for the control of human smooth pursuit.By dynamically probing the tracking performance with well established paradigms in the visual perception and oculomotor literature we provide the basis to test theoretical hypotheses within the framework of dynamic probabilistic inference. We will in particular present the applications of these results in light of state-of-the-art computer vision algorithms

Learning Algorithm Design for Human-Robot Skill Transfer

In this research, we develop an intelligent learning scheme for performing human-robot skills transfer. Techniques adopted in the scheme include the Dynamic Movement Prim- itive (DMP) method with Dynamic Time Warping (DTW), Gaussian Mixture Model (G- MM) with Gaussian Mixture Regression (GMR) and the Radical Basis Function Neural Networks (RBFNNs). A series of experiments are conducted on a Baxter robot, a NAO robot and a KUKA iiwa robot to verify the effectiveness of the proposed design.During the design of the intelligent learning scheme, an online tracking system is de- veloped to control the arm and head movement of the NAO robot using a Kinect sensor. The NAO robot is a humanoid robot with 5 degrees of freedom (DOF) for each arm. The joint motions of the operator’s head and arm are captured by a Kinect V2 sensor, and this information is then transferred into the workspace via the forward and inverse kinematics. In addition, to improve the tracking performance, a Kalman filter is further employed to fuse motion signals from the operator sensed by the Kinect V2 sensor and a pair of MYO armbands, so as to teleoperate the Baxter robot. In this regard, a new strategy is developed using the vector approach to accomplish a specific motion capture task. For instance, the arm motion of the operator is captured by a Kinect sensor and programmed through a processing software. Two MYO armbands with embedded inertial measurement units are worn by the operator to aid the robots in detecting and replicating the operator’s arm movements. For this purpose, the armbands help to recognize and calculate the precise velocity of motion of the operator’s arm. Additionally, a neural network based adaptive controller is designed and implemented on the Baxter robot to illustrate the validation forthe teleoperation of the Baxter robot.Subsequently, an enhanced teaching interface has been developed for the robot using DMP and GMR. Motion signals are collected from a human demonstrator via the Kinect v2 sensor, and the data is sent to a remote PC for teleoperating the Baxter robot. At this stage, the DMP is utilized to model and generalize the movements. In order to learn from multiple demonstrations, DTW is used for the preprocessing of the data recorded on the robot platform, and GMM is employed for the evaluation of DMP to generate multiple patterns after the completion of the teaching process. Next, we apply the GMR algorithm to generate a synthesized trajectory to minimize position errors in the three dimensional (3D) space. This approach has been tested by performing tasks on a KUKA iiwa and a Baxter robot, respectively.Finally, an optimized DMP is added to the teaching interface. A character recombination technology based on DMP segmentation that uses verbal command has also been developed and incorporated in a Baxter robot platform. To imitate the recorded motion signals produced by the demonstrator, the operator trains the Baxter robot by physically guiding it to complete the given task. This is repeated five times, and the generated training data set is utilized via the playback system. Subsequently, the DTW is employed to preprocess the experimental data. For modelling and overall movement control, DMP is chosen. The GMM is used to generate multiple patterns after implementing the teaching process. Next, we employ the GMR algorithm to reduce position errors in the 3D space after a synthesized trajectory has been generated. The Baxter robot, remotely controlled by the user datagram protocol (UDP) in a PC, records and reproduces every trajectory. Additionally, Dragon Natural Speaking software is adopted to transcribe the voice data. This proposed approach has been verified by enabling the Baxter robot to perform a writing task of drawing robot has been taught to write only one character

Effects of Cueing on Sit to Stand Transfers in Parkinson Disease

Problem Statement: Individuals with Parkinson Disease (PD) often experience difficulty transferring from sit to stand (STS). Current evidence suggests cues which promote an external attentional focus improve gait and transfers for individuals with PD. However, this research utilizes cues which are difficult to replicate in clinical or natural environments making the findings difficult to generalize or implement. Purpose: The primary purpose of this study is to determine the effect of 3 different explicit cues on STS for individuals with PD. Additionally we sought to determine if, in this population, a relationship exists between latency of movement initiation and postural sway in early standing, changes in joint angle between conditions and postural sway in early standing, and cue provided during the transfer and postural sway in early standing. Procedures/Methodology: Thirteen individuals in both the experimental and control groups participated in this cross-over design study. Both groups completed trials of self-initiated uncued STS transfers. Those in the experimental group also completed trials of STS transfers in 3 conditions: with an external attentional focus of reaching to targets, with an external attentional focus of concurrent modeling, and with an explicit cue for an internal attentional focus. Data was collected by trained testers and utilized valid and reliable body worn inertial measurement unit sensors. ANOVAs were used to compare performance between conditions and to the performance of the healthy control group. Bonferroni corrections were completed to reduce the likelihood of accepting a false positive. Results: Both cues that elicit an external attentional focus improved motor control during the sit to stand transfer. However, only modeling was able to improve both motor control and postural control. Cueing that promoted an internal attentional focus resulted in decreased motor control and postural control. Additionally, a moderate positive correlation was found between standing taller than typical and postural sway. Clinical Implications: Our results provide evidence for clinicians to better tailor treatment methodologies to the needs of individuals with PD. Optimal cueing can be utilized as compensations that reduce caregiver burden and increase independence of individuals with PD

An integrated theory of language production and comprehension

Currently, production and comprehension are regarded as quite distinct in accounts of language processing. In rejecting this dichotomy, we instead assert that producing and understanding are interwoven, and that this interweaving is what enables people to predict themselves and each other. We start by noting that production and comprehension are forms of action and action perception. We then consider the evidence for interweaving in action, action perception, and joint action, and explain such evidence in terms of prediction. Specifically, we assume that actors construct forward models of their actions before they execute those actions, and that perceivers of others' actions covertly imitate those actions, then construct forward models of those actions. We use these accounts of action, action perception, and joint action to develop accounts of production, comprehension, and interactive language. Importantly, they incorporate well-defined levels of linguistic representation (such as semantics, syntax, and phonology). We show (a) how speakers and comprehenders use covert imitation and forward modeling to make predictions at these levels of representation, (b) how they interweave production and comprehension processes, and (c) how they use these predictions to monitor the upcoming utterances. We show how these accounts explain a range of behavioral and neuroscientific data on language processing and discuss some of the implications of our proposal

Optimal control of ankle joint moment: Toward unsupported standing in paraplegia

This paper considers part of the problem of how to provide unsupported standing for paraplegics by feedback control. In this work our overall objective is to stabilize the subject by stimulation only of his ankle joints while the other joints are braced, Here, we investigate the problem of ankle joint moment control. The ankle plantarflexion muscles are first identified with pseudorandom binary sequence (PRBS) signals, periodic sinusoidal signals, and twitches. The muscle is modeled in Hammerstein form as a static recruitment nonlinearity followed by a linear transfer function. A linear-quadratic-Gaussian (LQG)-optimal controller design procedure for ankle joint moment was proposed based on the polynomial equation formulation, The approach was verified by experiments in the special Wobbler apparatus with a neurologically intact subject, and these experimental results are reported. The controller structure is formulated in such a way that there are only two scalar design parameters, each of which has a clear physical interpretation. This facilitates fast controller synthesis and tuning in the laboratory environment. Experimental results show the effects of the controller tuning parameters: the control weighting and the observer response time, which determine closed-loop properties. Using these two parameters the tradeoff between disturbance rejection and measurement noise sensitivity can be straightforwardly balanced while maintaining a desired speed of tracking. The experimentally measured reference tracking, disturbance rejection, and noise sensitivity are good and agree with theoretical expectations

Research reports: 1991 NASA/ASEE Summer Faculty Fellowship Program

The basic objectives of the programs, which are in the 28th year of operation nationally, are: (1) to further the professional knowledge of qualified engineering and science faculty members; (2) to stimulate an exchange of ideas between participants and NASA; (3) to enrich and refresh the research and teaching activities of the participants' institutions; and (4) to contribute to the research objectives of the NASA Centers. The faculty fellows spent 10 weeks at MSFC engaged in a research project compatible with their interests and background and worked in collaboration with a NASA/MSFC colleague. This is a compilation of their research reports for summer 1991

Aerospace Medicine and Biology: A continuing bibliography with indexes, supplement 192

This bibliography lists 247 reports, articles, and other documents introduced into the NASA scientific and technical information system in March 1979