AIMC Topic: Biomechanical Phenomena

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Development of a Wearable Sleeve-Based System Combining Polymer Optical Fiber Sensors and an LSTM Network for Estimating Knee Kinematics.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 13, 2025
This study presents a novel wearable solution integrating Polymer Optical Fiber (POF) sensors into a knee sleeve to monitor knee flexion/extension (F/E) patterns during walking. POF sensors offer advantages such as flexibility, light weight, and robu...
Knee Knee Joint Walking Optical Fibers Female Humans Adult Wearable Electronic Devices Reproducibility of Results Biomechanical Phenomena Equipment Design Neural Networks, Computer Young Adult Male Polymers Algorithms
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

PloS one Feb 13, 2025
This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. Firstly, the data collected in this study come fr...
Humans Pattern Recognition, Automated Track and Field Machine Learning Support Vector Machine Computer Simulation Running Random Forest Biomechanical Phenomena Athletes Convolutional Neural Networks
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Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System.

Sensors (Basel, Switzerland) Feb 12, 2025
Lameness detection in horses is a critical challenge in equine veterinary practice, particularly when symptoms are mild. This study aimed to develop a predictive system using a support vector machine (SVM) to identify the affected limb in horses trot...
Gait Horses Horse Diseases Forelimb Lameness, Animal Hindlimb Biomechanical Phenomena Animals Support Vector Machine Machine Learning
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Learning based lower limb joint kinematic estimation using open source IMU data.

Scientific reports Feb 12, 2025
This study introduces a deep learning framework for estimating lower-limb joint kinematics using inertial measurement units (IMUs). While deep learning methods avoid sensor drift, extensive calibration, and complex setup procedures, they require subs...
Biomechanical Phenomena Male Deep Learning Gait Analysis Lower Extremity Gait Humans Female Adult
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Bioinspired design of a tissue-engineered ray with machine learning.

Science robotics Feb 12, 2025
In biomimetic design, researchers recreate existing biological structures to form functional devices. For biohybrid robotic swimmers assembled with tissue engineering, this is problematic because most devices operate at different length scales than t...
Biomimetics Swimming Tissue Engineering Biomechanical Phenomena Animals Robotics Animal Fins Skates, Fish Machine Learning
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Biohybrid hand actuated by multiple human muscle tissues.

Science robotics Feb 12, 2025
Cultured muscle tissue serves as a power source in biohybrid robots that demonstrate diverse motions. However, current designs typically only drive simple substrates on a small scale, limiting flexibility and controllability. To address this, we prop...
Biomechanical Phenomena Muscle, Skeletal Robotics Equipment Design Humans Hand Fingers Muscle Contraction
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Exploring hyperelastic material model discovery for human brain cortex: Multivariate analysis vs. artificial neural network approaches.

Journal of the mechanical behavior of biomedical materials Feb 10, 2025
The human brain, characterized by its intricate architecture, exhibits complex mechanical properties that underpin its critical functional capabilities. Traditional computational methods, such as finite element analysis, have been instrumental in unc...
Humans Multivariate Analysis Cerebral Cortex Neural Networks, Computer Finite Element Analysis Biomechanical Phenomena Elasticity
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Virtual torque control combining with modal decoupling research for hydraulic-driven lower limb exoskeleton robot.

ISA transactions Feb 8, 2025
The hydraulic-driven lower limb exoskeleton robot (HDLLER) can provide excellent assistance during human walking. However, complex torque coupling disturbances exist between each joint, negatively impacting the precise torque tracking of each joint c...
Walking Humans Torque Algorithms Exoskeleton Device Computer Simulation Robotics Biomechanical Phenomena Equipment Design Lower Extremity
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Machine learning based finite element analysis for personalized prediction of pressure injury risk in patients with spinal cord injury.

Computer methods and programs in biomedicine Feb 7, 2025
BACKGROUND AND OBJECTIVE: Patients with spinal cord injury (SCI), are prone to pressure injury (PI) in the soft tissues of buttocks. Early prediction of PI holds the potential to reduce the occurrence and progression of PI. This study proposes a mach...
Risk Factors Biomechanical Phenomena Humans Spinal Cord Injuries Neural Networks, Computer Buttocks Machine Learning Finite Element Analysis Pressure Ulcer
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A Workflow-Efficient Approach to Pre- and Post-Operative Assessment of Weight-Bearing Three-Dimensional Knee Kinematics.

The Journal of arthroplasty Feb 6, 2025
BACKGROUND: Knee kinematics during daily activities reflect disease severity preoperatively and are associated with clinical outcomes after total knee arthroplasty (TKA). It is widely believed that measured kinematics would be useful for preoperative...
Biomechanical Phenomena Male Middle Aged Machine Learning Female Humans Aged Knee Joint Imaging, Three-Dimensional Arthroplasty, Replacement, Knee Range of Motion, Articular Fluoroscopy Weight-Bearing Workflow
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