AIMC Topic: Biomechanical Phenomena

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Gait assessment system based on novel gait variability measures.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this paper, a novel gait assessment system based on measures of gait variability reflected through the variability of shapes of gait cycles trajectories is proposed. The presented gait assessment system is based on SVM (support vector machine) cla...

Comparison of kinematic and EMG parameters between unassisted, fixed- and adaptive-stiffness robotic-assisted ankle movements in post-stroke subjects.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this paper, we present an assist-as-needed scheme that effectively adapted the assistance provided by an ankle rehabilitation robot according to patient's participation and performance during therapeutic movements. We performed an error-based esti...

Kinematic effects of inertia and friction added by a robotic knee exoskeleton after prolonged walking.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
The capabilities of robotic gait assistive devices are ever increasing; however, their adoption outside of the lab is still limited. A critical barrier for the functionality of these devices are the still unknown mechanical properties of the human le...

Automated stand-up and sit-down detection for robot-assisted body-weight support training with the FLOAT.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Patients with impaired walking function are often dependent on assistive devices to retrain gait and regain independence in life. To provide adequate support, gait rehabilitation devices have to be manually set to the correct support mode or have to ...

Towards human-knee orthosis interaction based on adaptive impedance control through stiffness adjustment.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Rehabilitation interventions involving powered, wearable lower limb orthoses that can provide high-challenging locomotor tasks for repetitive training sessions, mainly when assist-as-needed strategies, such as adaptive impedance control, are designed...

Timing of intermittent torque control with wire-driven gait training robot lifting toe trajectory for trip avoidance.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Gait training robots are useful for changing gait patterns and decreasing risk of trip. Previous research has reported that decreasing duration of the assistance or guidance of the robot is beneficial for efficient gait training. Although robotic int...

Motor adaptation to lateral pelvis assistance force during treadmill walking in individuals post-stroke.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
The goal of this study was to determine how individuals post-stroke response to the lateral assistance force applied to the pelvis during treadmill walking. Ten individuals post chronic (> 6 months) stroke were recruited to participate in this study....

Toward goal-oriented robotic gait training: The effect of gait speed and stride length on lower extremity joint torques.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robot-assisted gait training is becoming increasingly common to support recovery of walking function after neurological injury. How to formulate controllers capable of promoting desired features in gait, i.e. goals, is complicated by the limited unde...

Biomechanical effects of robot assisted walking on knee joint kinematics and muscle activation pattern.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Since manual rehabilitation therapy can be taxing for both the patient and the physiotherapist, a gait rehabilitation robot has been built to reduce the physical strain and increase the efficacy of the rehabilitation therapy. The prototype of the gai...

Convolutional neural network-based automatic classification of midsagittal tongue gestural targets using B-mode ultrasound images.

The Journal of the Acoustical Society of America
Tongue gestural target classification is of great interest to researchers in the speech production field. Recently, deep convolutional neural networks (CNN) have shown superiority to standard feature extraction techniques in a variety of domains. In ...