AIMC Topic: Lower Extremity

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Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

Journal of vascular surgery
OBJECTIVE: Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative n...

Feasibility and safety of early lower limb robot-assisted training in sub-acute stroke patients: a pilot study.

European journal of physical and rehabilitation medicine
BACKGROUND: So far, the development of robotic devices for the early lower limb mobilization in the sub-acute phase after stroke has received limited attention.

Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

BMC medical research methodology
BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neural networks (ANN) have been used to predict the risk of post-operative events, including survival, and are increasingly being used in complex medical ...

A new 3D center of mass control approach for FES-assisted standing: First experimental evaluation with a humanoid robot.

Medical engineering & physics
This paper proposes a new control framework to restore the coordination between upper (functional) and lower (paralyzed) limbs in the context of functional electrical stimulation in completely paraplegic individuals. A kinematic decoupling between th...

Technology-assisted stroke rehabilitation in Mexico: a pilot randomized trial comparing traditional therapy to circuit training in a Robot/technology-assisted therapy gym.

Journal of neuroengineering and rehabilitation
BACKGROUND: Stroke rehabilitation in low- and middle-income countries, such as Mexico, is often hampered by lack of clinical resources and funding. To provide a cost-effective solution for comprehensive post-stroke rehabilitation that can alleviate t...

Ambulatory activity classification with dendogram-based support vector machine: Application in lower-limb active exoskeleton.

Gait & posture
Ambulatory activity classification is an active area of research for controlling and monitoring state initiation, termination, and transition in mobility assistive devices such as lower-limb exoskeletons. State transition of lower-limb exoskeletons r...

Theoretical and experimental study on a compliant flipper-leg during terrestrial locomotion.

Bioinspiration & biomimetics
An amphibious robot with straight compliant flipper-legs can conquer various amphibious environments. The robot can rotate its flipper-legs and utilize their large deflection to walk on rough terrain, and it can oscillate the straight flipper-legs to...

Robot-aided assessment of lower extremity functions: a review.

Journal of neuroengineering and rehabilitation
The assessment of sensorimotor functions is extremely important to understand the health status of a patient and its change over time. Assessments are necessary to plan and adjust the therapy in order to maximize the chances of individual recovery. N...

Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb prostheses.

Medical engineering & physics
Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicated. This is due to the flexible nature of the interface liners used impeding the required consistent positioning of the temperature sensors during ...

A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking.

Journal of neuroengineering and rehabilitation
BACKGROUND: Carrying load alters normal walking, imposes additional stress to the musculoskeletal system, and results in an increase in energy consumption and a consequent earlier onset of fatigue. This phenomenon is largely due to increased work req...