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Foot

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Reactive balance control in older adults with diabetes.

Gait & posture
Diabetes mellitus is a major health problem for older adults worldwide and could be associated with impaired ability to recover balance after postural disturbances. This study compared reactive balance control in three groups of adults, young (YA), h...

Effects of reduced plantar cutaneous sensation on static postural control in individuals with and without chronic ankle instability.

Journal of science and medicine in sport
OBJECTIVES: The purpose of this study was to determine how reduced plantar cutaneous sensation influences static postural control in individuals with and without CAI.

Control of a Supernumerary Robotic Hand by Foot: An Experimental Study in Virtual Reality.

PloS one
In the operational theater, the surgical team could highly benefit from a robotic supplementary hand under the surgeon's full control. The surgeon may so become more autonomous; this may reduce communication errors with the assistants and take over d...

The influence of push-off timing in a robotic ankle-foot prosthesis on the energetics and mechanics of walking.

Journal of neuroengineering and rehabilitation
BACKGROUND: Robotic ankle-foot prostheses that provide net positive push-off work can reduce the metabolic rate of walking for individuals with amputation, but benefits might be sensitive to push-off timing. Simple walking models suggest that preempt...

Visual analogue scale foot and ankle vs. short-form 36 quality of life scores: artificial intelligence using machine learning analysis with an external validation.

European review for medical and pharmacological sciences
OBJECTIVE: We aimed to utilize artificial intelligence (AI) via machine learning (ML) to analyze the relationship between visual analogue scale foot and ankle (VASFA) and short-form 36 (SF-36) quality of life scores and determine AI's performance ove...

Development of Mobile Application Based on AI for Predicting the Suitable Height of High Heels.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
As high heels become increasingly popular in everyday attire, their impact on foot and lower limb health has garnered widespread attention. Wearing high heels of inappropriate height over a long period can cause damage to an individual's ankles, knee...

StepGAN: Gait Feature Extraction Using Generative Adversarial Networks for Footstep Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Pressure recordings of footsteps during walking can offer a convenient biometric recognition method for applications in security, forensic analysis, and health monitoring. However, footsteps can exhibit high variability due to a complex interplay of ...

[Minimally invasive intelligent innovative technologies in foot and ankle surgery: development status and prospects].

Zhonghua wai ke za zhi [Chinese journal of surgery]
The rapid development of technology has ushered in a new era of minimally invasive and intelligent surgery.Minimally invasive surgeries, such as small incision, percutaneous surgery, arthroscopic surgery, and endoscopic surgery, have contributed to l...

Real-Time Analysis of the Dynamic Foot Function: A Machine Learning and Finite Element Approach.

Journal of biomechanical engineering
Finite element analysis (FEA) has been widely used to study foot biomechanics and pathological functions or effects of therapeutic solutions. However, development and analysis of such foot modeling is complex and time-consuming. The purpose of this s...

Hier R-CNN: Instance-Level Human Parts Detection and A New Benchmark.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Detecting human parts at instance-level is an essential prerequisite for the analysis of human keypoints, actions, and attributes. Nonetheless, there is a lack of a large-scale, rich-annotated dataset for human parts detection. We fill in the gap by ...