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Isokinetic dynamometers (IKD) and inverse dynamics (ID) approach are the two primary methods used to study muscle moment outputs during isolated and natural movements, respectively. However, it remains unclear whether these methods provide comparable moment values. This study, therefore, examined the maximum moment outputs of the main antigravity muscle groups as measured by IKD and ID methods. Maximum isometric moments were measured at matched joint angles from ankle plantarflexors, knee extensors, hip extensors, and hip abductors using a commercially available IKD and a force plate integrated apparatus, which enabled ID computation. On average, a 44 % (P = 0.002) greater ankle plantarflexor moment was obtained in ID than IKD condition, whereas the opposite - a 27 % (P = 0.037) greater extensor moment in IKD - was measured at the knee. No significant differences in moment outputs were found between the two methods for hip abductor and hip extensor muscles. Observation that IKD and ID methods produce significantly different moment outputs for ankle plantarflexor and knee extensor muscles should be considered when interpreting the results derived from these two methods.
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http://dx.doi.org/10.1016/j.jbiomech.2025.112918 | DOI Listing |
J Neurosci Methods
September 2025
Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United States of America.
Background: The Medtronic Percept™ PC and RC are deep brain stimulation (DBS) systems with recording capability. However, when the stimulation frequency is changed, the recordings were segmented, introducing interruptions that shift each segment in the time domain.
New Method: Ex-vivo, stimulation frequency was changed while local field potential was being recorded in both leads.
J Foot Ankle Res
September 2025
Department of Development & Regeneration, Campus Kulak, KU Leuven, Kortrijk, Belgium.
Introduction: Understanding foot joint loading during different dynamic activities is essential information for guiding exercise progression in rehabilitation. While walking and running biomechanics are well studied, joint-specific kinetic data during a single leg drop and hop task, often used in rehabilitation, are lacking. This study aimed to evaluate (1) the kinetic behavior of the ankle, Chopart, Lisfranc, and MTP-1 joints during a drop-hop task under different visual constraints and (2) to contextualize these findings by comparing them with heel-strike running, to assess the relative loading demands of the drop-hop task.
View Article and Find Full Text PDFSci Rep
August 2025
Process Engineering Department, Bandar Imam Petrochemical Company (BIPC), Mahshahr, Iran.
This study intends to effectively forecast solubility parameter of diverse polymers by creating machine learning models that can grasp the complex relationships between essential input factors like molecular weight, melting point, boiling point, liquid molar volume, radius of gyration, dielectric constant, dipole moment, refractive index, van der Waals area and reduced volume, and parachor, alongside the target variable, which is solubility coefficient of polymers. The goal is to create strong models that accurately capture these intricate relationships to facilitate accurate forecasts of the solubility parameter for polymers. Multiple machine learning algorithms, ranging from basic methods like Linear Regression to advanced techniques such as Artificial Neural Networks (ANNs), Ridge Regression, Lasso Regression, Support Vector Machines (SVMs), Linear Regression, Random Forests (RFs), Gradient Boosting Machines (GBM), K-Nearest Neighbors (KNN), Elastic Net, Decision Trees, Light Gradient Boosting Machine (LightGBM), Categorical Boosting (CatBoost), Convolutional Neural Networks (CNNs), and Extreme Gradient Boosting (XGBoost) were utilized.
View Article and Find Full Text PDFJ Biomech
October 2025
Motion Laboratory, Helsinki University Hospital and University of Helsinki, Finland; JAMK University of Applied Sciences, Jyväskylä, Finland. Electronic address:
Isokinetic dynamometers (IKD) and inverse dynamics (ID) approach are the two primary methods used to study muscle moment outputs during isolated and natural movements, respectively. However, it remains unclear whether these methods provide comparable moment values. This study, therefore, examined the maximum moment outputs of the main antigravity muscle groups as measured by IKD and ID methods.
View Article and Find Full Text PDFThis article investigates the state estimation and security control problem for discrete-time dual-rate cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. The asynchrony predicament between different signals of dual-rate CPSs, exacerbated by the impact of cyber attacks on the sensor-to-controller channel, substantially increases the complexity of state estimation and control processes. Based on the signal-to-interference-plus-noise ratio and two-channel probability descriptions, an improved sample-and-hold (SAH) estimator is applied to dual-rate CPSs, ensuring favorable state estimates while enduring low-frequency sampling and DoS attacks.
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