AIMC Topic: Walking
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Deep Learning for Musculoskeletal Force Prediction.
Annals of biomedical engineering
Dec 31, 2018
Musculoskeletal models permit the determination of internal forces acting during dynamic movement, which is clinically useful, but traditional methods may suffer from slowness and a need for extensive input data. Recently, there has been interest in ...
From deep learning to transfer learning for the prediction of skeletal muscle forces.
Medical & biological engineering & computing
Dec 14, 2018
Skeletal muscle forces may be estimated using rigid musculoskeletal models and neural networks. Neural network (NN) approach has the advantages of real-time estimation ability and promising prediction accuracy. However, most of the developed NN model...
Maneuvering and stabilization control of a bipedal robot with a universal-spatial robotic tail.
Bioinspiration & biomimetics
Dec 7, 2018
This paper analyzes control methodologies to implement maneuvering and stabilization behaviors in a bipedal robot using a bioinspired robotic tail. Looking to nature, numerous animals augment their legs' functionality using a tail nature, numerous an...
Force Analysis and Evaluation of a Pelvic Support Walking Robot with Joint Compliance.
Journal of healthcare engineering
Nov 28, 2018
The force analysis of a pelvic support walking robot with joint compliance is discussed in this paper. During gait training, pelvic motions of hemiplegic patients may be excessively large or out of control; however, restriction of pelvic motions is n...
Comparison of the human-exosuit interaction using ankle moment and ankle positive power inspired walking assistance.
Journal of biomechanics
Nov 20, 2018
Previous ankle exoskeleton assistance techniques that were able to demonstrate metabolic reductions can be categorized into those that delivered moment profiles similar to the biological ankle moment throughout the stance phase, and others that deliv...
Use of a robotic walking aid in rehabilitation to reduce fear of falling is feasible and acceptable from the end user's perspective: A randomised comparative study.
Maturitas
Nov 17, 2018
Objectives To determine the acceptability and feasibility of the use of a robotic walking aid to support the work of physiotherapists in reducing fear of falling in the rehabilitation of elderly patients with 'psychomotor disadaptation' (the most sev...
Physiological Responses and Perceived Exertion During Robot-Assisted and Body Weight-Supported Gait After Stroke.
Neurorehabilitation and neural repair
Nov 12, 2018
INTRODUCTION: Physiological responses are rarely considered during walking after stroke and if considered, only during a short period (3-6 minutes). The aims of this study were to examine physiological responses during 30-minute robot-assisted and bo...
Effects of robot-(Morning Walk) assisted gait training for patients after stroke: a randomized controlled trial.
Clinical rehabilitation
Oct 16, 2018
OBJECTIVE:: To investigate the effects of Morning Walk-assisted gait training for patients with stroke.
A wearable hip-assist robot reduces the cardiopulmonary metabolic energy expenditure during stair ascent in elderly adults: a pilot cross-sectional study.
BMC geriatrics
Sep 29, 2018
BACKGROUND: Stair ascent is one of the most important and challenging activities of daily living to maintain mobility and independence in elderly adults. Recently, various types of wearable walking assist robots have been developed to improve gait fu...
Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach.
Sensors (Basel, Switzerland)
Aug 27, 2018
Wearable sensors can provide detailed information on human movement but the clinical impact of this information remains limited. We propose a machine learning approach, using wearable sensor data, to identify subject-specific changes in gait patterns...
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