AIMC Topic: Biomechanical Phenomena

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Walking with robot assistance: the influence of body weight support on the trunk and pelvis kinematics.

Disability and rehabilitation. Assistive technology
PURPOSE: The goal was to assess in healthy participants the three-dimensional kinematics of the pelvis and the trunk during robot-assisted treadmill walking (RATW) at 0%, 30% and 50% body weight support (BWS), compared with treadmill walking (TW).

Review on design and control aspects of ankle rehabilitation robots.

Disability and rehabilitation. Assistive technology
Ankle rehabilitation robots can play an important role in improving outcomes of the rehabilitation treatment by assisting therapists and patients in number of ways. Consequently, few robot designs have been proposed by researchers which fall under ei...

A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns.

Computer methods in biomechanics and biomedical engineering
The aim of this study was to present a new training algorithm using artificial neural networks called multi-objective least absolute shrinkage and selection operator (MOBJ-LASSO) applied to the classification of dynamic gait patterns. The movement pa...

Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction.

Applied ergonomics
Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platforms. However, in industrial scenarios, workers' biomechanics are assessed mainly through questionnaires and scales which provide limited objectivity....

Pose estimation for pickleball players' kinematic analysis through MediaPipe-based deep learning: A pilot study.

Journal of sports sciences
Pickleball has gained popularity across diverse age groups. This sport has particular balls that require different hitting styles, like hitting dinks. This study focuses on introducing pickleball players' kinematic analysis through a MediaPipe-based ...

AI-driven optimization of spinal implant design using parametric modelling.

Colloids and surfaces. B, Biointerfaces
This study aimed to enhance vertebral implant design by using a parametric spine model and advanced simulation techniques to evaluate biomechanical behaviours under dynamic physiological conditions using Finite Element Analysis (FEA) in ANSYS Workben...

mmWave Radar for Sit-to-Stand Analysis: A Comparative Study With Wearables and Kinect.

IEEE transactions on bio-medical engineering
This study investigates a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-wave (mmWave) radar technology, aiming to develop a non-contact, privacy-preserving, and all-day operational solution for healthcare applications. A ...

Enhanced Human Crawling Phase Recognition Based on Kinematic Synergies and Machine Learning.

Journal of biomechanical engineering
Hands-and-knees crawling, an effective rehabilitation method for children with motor impairments, requires precise phase detection for optimizing assistive devices. However, research on phase detection in human crawling remains limited. The research ...

Kinematic analysis of lumbar pedicle screw placement using an artificial intelligence framework.

Neurosurgical focus
OBJECTIVE: Robotics and artificial intelligence (AI) are being increasingly integrated in spine surgery. One emerging application of AI is in hand motion detection to assess surgical skill. However, no standardized framework currently exists for eval...

Predictive Modeling of Human Skin Deformation and Growth During Tissue Expansion in Postmastectomy Breast Reconstruction.

Journal of biomechanical engineering
Breast reconstruction using tissue expanders is the primary treatment option following mastectomy. Although skin growth in response to chronic supra-physiological stretch is well-established, individual patient factors such as breast shape, volume, s...