AIMC Topic: Walking

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Effect of exoskeleton robot-assisted training on gait function in chronic stroke survivors: a systematic review of randomised controlled trials.

BMJ open
OBJECTIVES: Numbers of research have reported the usage of robot-assisted gait training for walking restoration post-stroke. However, no consistent conclusion has been reached yet about the efficacy of exoskeleton robot-assisted training (ERAT) on ga...

Using Deep Learning Models to Predict Prosthetic Ankle Torque.

Sensors (Basel, Switzerland)
Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kinetic data. However, this method is time-intensive, limited to a gait laboratory setting, and requires a large array of reflective markers to be attached ...

Structure-based prediction of nucleic acid binding residues by merging deep learning- and template-based approaches.

PLoS computational biology
Accurate prediction of nucleic binding residues is essential for the understanding of transcription and translation processes. Integration of feature- and template-based strategies could improve the prediction of these key residues in proteins. Never...

Multi-constraint spatial coupling for the body joint quadruped robot and the CPG control method on rough terrain.

Bioinspiration & biomimetics
Quadruped robots have frequently appeared in various situations, including wilderness rescue, planetary exploration, and nuclear power facility maintenance. The quadruped robot with an active body joint has better environmental adaptability than one ...

Effects of a soft robotic exosuit on the quality and speed of overground walking depends on walking ability after stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: Soft robotic exosuits can provide partial dorsiflexor and plantarflexor support in parallel with paretic muscles to improve poststroke walking capacity. Previous results indicate that baseline walking ability may impact a user's ability t...

Deep Learning Based Walking Tasks Classification in Older Adults Using fNIRS.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Decline in gait features is common in older adults and an indicator of increased risk of disability, morbidity, and mortality. Under dual task walking (DTW) conditions, further degradation in the performance of both the gait and the secondary cogniti...

Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot.

Neural networks : the official journal of the International Neural Network Society
Legged robots that can instantly change motor patterns at different walking speeds are useful and can accomplish various tasks efficiently. However, state-of-the-art control methods either are difficult to develop or require long training times. In t...

The FreeD module's lateral translation timing in the gait robot Lokomat: a manual adaptation is necessary.

Journal of neuroengineering and rehabilitation
BACKGROUND: Pelvic and trunk movements are often restricted in stationary robotic gait trainers. The optional FreeD module of the driven gait orthosis Lokomat offers a combined, guided lateral translation and transverse rotation of the pelvis and may...

Effect of Lower Limb Exoskeleton on the Modulation of Neural Activity and Gait Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interaction. The coupling of robot assisted gait training (RAGT) with a brain-machine interface (BMI) represents an important step in this direction but require...

Bioinspired Soft Spine Enables Small-Scale Robotic Rat to Conquer Challenging Environments.

Soft robotics
For decades, it has been difficult for small-scale legged robots to conquer challenging environments. To solve this problem, we propose the introduction of a bioinspired soft spine into a small-scale legged robot. By capturing the motion mechanism of...