JOURNAL OF BIOMECHANICS生物力学杂志
JOURNAL OF BIOMECHANICS(英文缩写 J BIOMECH),ISSN 0021-9290,eISSN 1873-2380,中文译名:生物力学杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-28 至 2026-09-28，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.789 | Q3 |
| 2022 | 2.400 | Q3 |
| 2023 | 2.400 | Q3 |
| 2024 | 2.400 | Q3 |
| 2025 | 2.900 | Q2 |
JOURNAL OF BIOMECHANICS 最新收录文献
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1. Waveform-based interlimb ground-reaction-force similarity reveals direction-dependent locomotor adaptation during split-belt treadmill walking.
PMID:日期:2026-09-23Split-belt walking has been widely used to identify the interlimb motor learning for decades. Although split-belt adaptation is commonly quantified using spatiotemporal variables or discrete peak kinetic measures, these observations cannot capture all aspects of similarity between right and left ground reaction force waveform patterns across the entire stance phase. This study examined (1) whether GRFSim, a measure of interlimb ground-reaction-force waveform similarity using normalized cross correlation (XCorr) could identify changes that occur during adaptation and de-adaptation while walking on split-belt treadmill, and (2) whether the detected changes were direction-dependent across anteroposterior (AP), mediolateral (ML), or vertical (V) GRF components. Twenty healthy young adults walked under four conditions: tied-belt fast walking (1.0 m/s), tied-belt slow walking (0.5 m/s), split-belt adaptation (left leg: 0.5 vs. right leg: 1.0 m/s), and tied-belt washout (0.5 m/s). Mean GRFSim and its stride-to-stride variability of GRFSim were calculated from the first or last 50 gait cycles of six periods: late fast baseline, late slow baseline, initial adaptation, late adaptation, initial de-adaptation, and late de-adaptation. Friedman tests with post-hoc comparisons using Wilcoxon signed-rank tests were used to assess GRFSim in aforementioned periods. GRFSim was lowest and its stride-to-stride variability was greatest during the initial adaptation (all p < 0.001). GRFSim remained lower than baseline during late adaptation and initial de-adaptation. The largest reduction in GRFSim occurred in the AP direction compared with the other directions, suggesting direction-dependent changes related to interlimb braking and propulsion. XCorr-derived GRFSim may complement spatiotemporal measures in locomotor-adaptation research.
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2. Time-localized neuromuscular organization during left- and right-leg Taijiquan unilateral push-off.
PMID:日期:2026-09-20Unilateral lower-limb heel-kick performance requires coordinated regulation of postural control, weight transfer, and limb movement, but whether muscle-coordination patterns are organized similarly between limbs remains unclear. This study examined condition-dependent and time-localized neuromuscular organization during the Chen-style Taijiquan Deng Yi Gen task. Fifteen male elite Taijiquan athletes performed left- and right-leg heel-kick trials while bilateral surface electromyography from 12 lower-limb muscles, three-dimensional kinematics, and ground reaction forces were recorded synchronously. Muscle synergies were extracted using non-negative matrix factorization. Group-level muscle-weight patterns were identified using data-informed clustering, temporal characteristics were quantified using the center of activation and full width at half maximum, and differences in matched activation waveforms were examined using one-dimensional statistical parametric mapping. Exploratory ridge-regularized canonical correlation analysis with lag scanning was used to examine potential temporal associations between synergy activations and mechanical variables. Two recurrent group-level patterns were retained for the left-leg heel-kick condition and three for the right-leg condition. Two patterns were matched between conditions, whereas one additional unmatched group-level pattern was identified in the right-leg condition. Matched patterns showed time-localized activation differences during the later portion of the normalized movement cycle. The right-leg condition generally showed later and more temporally concentrated activation, whereas the left-leg condition showed broader activation. Exploratory rCCA identified a statistically supported temporal association only in the left-leg condition. These findings indicate condition-related differences in group-level muscle-coordination patterns and activation timing, but do not establish fixed limb-specific control or a strict stability-propulsion division.
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3. Synergistic restoration of dynamic mechanical properties of articular cartilage by hyaluronic acid methacrylate.
PMID:日期:2026-09-18The integrity of articular cartilage is essential for a healthy joint. In joint disease, such as osteoarthritis, articular cartilage is degraded, compromising its functions of load transmission and lubrication, ultimately leading to joint pain that limits mobility. Tissue-penetrating bioagents, such as hyaluronic acid, have been used to stabilize and reinforce degenerated cartilage. Yet, the effect of the bioagents on the dynamic mechanical behaviour of articular cartilage is understudied. Here, we investigated the effect of a tissue-penetrating, photocrosslinkable hyaluronic acid methacrylate (HAMA) on the dynamic viscoelasticity of healthy and degraded cartilage. Porcine knee cartilage was artificially degraded by collagenase to model diseased cartilage. Healthy and degraded cartilage were treated with 4% HAMA following 10 min diffusion time and 3 min photocrosslinking. Viscoelastic and dynamic mechanical properties of cartilage samples were measured through a three-step stress relaxation compression test, with a multi-frequency sinusoidal displacement load applied at the end of each stress relaxation. Our data suggest that HAMA treatment synergistically restored the viscoelastic dynamic properties of degraded cartilage to match those of healthy cartilage. Healthy cartilage was minimally affected by HAMA. Notably, the mechanical degradation by collagenase and restoration by HAMA likely occurred in the top 150 µm layer of cartilage, highlighting the importance of superficial zone cartilage for cartilage function. Our study provides support for the use of HAMA in stabilizing and reinforcing the dynamic mechanical properties of enzymatically weakened cartilage. HAMA may be a promising alternative for joint preservation therapy to slow the progression of early osteoarthritis.
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4. Soft-closure bileaflet mechanical heart valve design and hydrodynamic evaluation: an integrated iValve framework.
PMID:日期:2026-09-17Mechanical heart valves provide excellent long-term durability but remain associated with thromboembolism, hemolysis, and lifelong anticoagulation. These complications are influenced by valve geometry, hinge architecture, leaflet kinematics, leakage pathways, and rapid closure-associated flow phenomena. This study combines a mechanical and geometrical design framework with in vitro hydrodynamic evaluation of the iValve, a soft-closure bileaflet mechanical heart valve platform. The design framework emphasized curved leaflet geometry, controlled leaflet travel, exposed pivot regions, progressive leaflet-housing engagement, and distributed closure contact. Prototype iValve configurations were evaluated in a Leonardo-enabled pulse duplicator at approximately 5 L/min cardiac output, 70 beats/min, and 120/80 mmHg using saline. Projected dynamic valve area (PDVA), volumetric flow, regurgitant fraction, leakage area, and a derived regional velocity estimate were analyzed over 10 consecutive cycles. The iValve prototypes maintained large projected opening areas; i-v1.1 and i-v1.1 Al reached 3.18 ± 0.17 cm and 3.20 ± 0.15 cm, respectively. Peak negative derived closure velocity was -4.3 ± 0.6 m/s for the original prototypes, compared with -22.5 ± 3.1 m/s for St. Jude Medical Regent and -56.4 ± 6.2 m/s for On-X. Revised i-v1.21 Al prototypes produced intermediate values (approximately -9.0 to -11.3 m/s) while reducing regurgitant fraction relative to the earlier prototypes. Because velocity was calculated as flow divided by PDVA in saline, these values should be interpreted as comparative hydrodynamic indicators rather than direct local jet velocity, shear stress, or thrombogenicity measurements. The results support further evaluation of soft-closure design strategies while identifying a central trade-off between closure transient attenuation and regurgitant performance.
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5. Running speed and cognitive load differentially modulate gait variability and fractal dynamics.
PMID:日期:2026-09-16Gait variability reflects both the magnitude and temporal structure of stride fluctuations. While running speed influences gait dynamics, how cognitive load modulates these effects across spatial and temporal domains remains poorly understood. Seventeen trained runners completed treadmill trials (8-16 km·h) under single-task (RUN) and dual-task (RUN + CT; concurrent cognitive task) conditions. Variability magnitude (CV) and fractal scaling (DFAα) were quantified for step length and step time. Linear mixed-effects models and individual-difference analyses assessed the effects of Speed, Condition, and their interaction. DFAα increased with speed for step length and decreased for step time (both p < 0.001), while cognitive load consistently reduced DFAα across domains. In contrast, CV of step length decreased with speed whereas cognitive load effects on variability magnitude differed from those observed for temporal structure, revealing a dissociation between variability magnitude and temporal organization. At the individual level, runners with stronger speed-dependent temporal organization during RUN exhibited larger dual-task-related reductions in DFAα (r = -0.49, p = 0.047). Strong coupling between spatial and temporal DFA measures was also observed for both speed-dependent slopes (r = 0.71, p = 0.0015) and dual-task changes (r = 0.86, p < 0.001). Together, these findings show that mechanical demands shape baseline gait dynamics, whereas cognitive load produces a robust reduction in temporal organization across running speeds. Individual reliance on speed-dependent temporal structure predicts vulnerability to attentional interference, highlighting temporal organization as a sensitive marker of cognitive-motor interaction.
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6. Modeling tendon viscoelastic properties using a system identification approach.
PMID:日期:2026-09-16Viscoelasticity is characteristic of tendon mechanical behavior and is thought to reflect underlying structure, which can change with exercise, aging and pathology. We used ramp stretch experiments to measure the stress-relaxation response of rat tail tendon fascicles. System identification methods were applied to fit viscoelastic models to these measurements, enabling exploration of several possible viscoelastic model structures and quantification of the models' viscoelastic parameters. While tendons have been modeled as springs or quasi-linear viscoelastic materials, we found that tendons are well fit by a viscoelastic model consisting of a single Kelvin-Voigt (KV) element in series with a spring. From the viscoelastic model structure, we can predict tendon behavior beyond experimental measurements, providing insight into muscle-tendon interactions. The model comprising a series KV element and spring exhibits a force-frequency relationship that may protect muscles from high frequency damage and implies that most of the energy storage and power amplification of tendons is provided by the extracellular matrix rather than collagen fibers. The elastic modulus of the KV element was similar to that of single collagen fibers and increased with genipin treatment but not age. The elastic modulus of the series spring increased with age but not genipin treatment. The time constant of stress-relaxation increased over time, suggesting that rat tail tendon fascicles are more like amorphous polymers than quasi-linear viscoelastic materials. This approach revealed previously unknown properties of tendons which demonstrate that they are exquisitely designed to protect muscles and recover elastic energy across timescales.
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7. A framework for robust spatiotemporal analysis of dynamic plantar pressure measurement over the stance phase of gait.
PMID:日期:2026-09-16Barefoot plantar pressure assessment commonly involves discrete regional sampling from maximum pressure distributions measured over the stance phase of gait. This approach fails to capture spatiotemporal variation in plantar pressures across a spectrum of foot morphologies. Here we introduce a framework for systematically evaluating spatiotemporal plantar pressure distributions. Plantar pressures measured over stance are linearly interpolated into 5%-time instance pressure distributions. The foot progression angle is determined using the maximum pressure distribution and used to rotate each interpolated 5%-time instance pressure distribution. A bounding region capturing the entire maximum pressure distribution is used to scale each 5% distribution to a standardized 50 × 18 grid using a force preserving approach. Reliability was assessed in individuals with structurally altered (n = 10) and healthy (n = 10) feet. Intraclass Correlation Coefficients (ICCs) were calculated for foot progression angle, minimum detectable change (MDC) for maximum pressure at each grid location, and a linear mixed effects model with Bland-Altman plots for mean pressures between original and aligned intervals. All ICC values were greater than 0.85 with an MDC of 9.05 ± 10.79 kPa across the entire grid. The linear mixed effect model and Bland-Altman plots demonstrated a significant systematic framework bias of 9.91 ± 2.05 kPa (p < 0.001) and 8.58 ± 1.88 kPa (p < 0.001) for healthy and structurally altered feet, independent of stance interval, foot size, or foot progression angle. These data suggest the framework can be used to reliably assess plantar pressures in structurally altered feet, enabling robust comparison of spatial pressure distributions during gait.
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8. Angular knee jerk and fluctuation analysis for individuals with anterior cruciate ligament reconstruction and knee osteoarthritis.
PMID:日期:2026-09-16Knee instability following anterior cruciate ligament (ACL) injury may accelerate knee osteoarthritis (OA) development. This study assessed knee jerk biomechanics during walking for ACL-reconstruction, knee OA, and controls. Three cohorts (1: ACL-reconstruction, 2: knee OA, and 3: healthy controls) had knee jerk quantified during a 10-meter self-selected walk. Sagittal and frontal plane jerk magnitude (peak, minimum, and range), cost (weight acceptance and full stance), and fluctuation content (mean, median, peak power frequency, and total power) were quantified and submitted to a Kruskal-Wallis H test to assess cohort differences. Magnitude and frequency of frontal, but not sagittal plane jerk was impacted by cohort. The knee OA cohort exhibited greater peak and minimum frontal plane jerk (p = 0.020 and p = 0.039), while both the ACL-reconstruction and knee OA cohorts exhibited greater range of frontal plane jerk compared to the control cohort (p = 0.001 and p = 0.028). Further, the ACL-reconstruction cohort exhibited smaller frontal plane mean frequency (p = 0.017), while both the ACL-reconstruction and knee OA cohorts had smaller peak power frequency (p = 0.020 and p = 0.041) compared to the controls. No significant difference was observed for jerk cost in the weight acceptance and full stance phase between cohorts (p = 0.124 and p = 0.107). Individuals with knee injury and disease exhibit greater frontal plane jerk magnitude with lesser fluctuation frequency indicating altered neuromuscular function at the joint that may predispose them to the development or progression of knee OA. Practitioners may need to adequately address the neuromuscular component when rehabilitating individuals with ACL injury to better facilitate short- and longer-term clinical outcomes.
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9. Isokinetic assessment of trunk flexor and extensor performance in asymptomatic adult women (20-55 years): reference values and effects of age and angular velocity.
PMID:日期:2026-09-12Trunk muscle strength is crucial for spinal stability and injury prevention. Existing studies generally focus on clinical or male individuals with a limitation in reference values for asymptomatic women. This study aim was to establish sample-based normative values for trunk muscle performance in asymptomatic women and examine the effects of age and angular velocity using isokinetic dynamometry. 150 asymptomatic women (20-55 y) were assessed for trunk muscle performance using isokinetic dynamometry and electromyographic (EMG) analysis. Linear mixed models (LMM) were used to analyze trunk muscle performance data, treating age as a continuous predictor and angular velocity as a repeated-measures factor, while accounting for individual variability through random effects. EMG amplitudes were normalized to peak dynamic activation within each testing condition, with extensor activity of 52 % during extension and flexors ranging from 43 % to 45 % during flexion. LMM showed minimal age effects, while angular velocity was associated with variations in several outcomes, including torque, power, and total work. Sample-based normative values for trunk muscles were established at 60, 90, and 120 °/s. Within this convenience sample of asymptomatic women aged 20-55 years, age effects were small, supporting the use of a single dataset. Angular velocity conditions accounted for a greater proportion of the observed variability in trunk isokinetic outcomes than age-related differences. Age showed limited influence on strength, power, and EMG activity within the investigated age range. Trunk muscles exhibited a force-velocity pattern, with torque decreasing and power increasing as angular velocity increased.
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10. A deep-learning pipeline to extract clinical gait metrics from single-camera recordings.
10. 一种从单相机记录中提取临床步态指标的深度学习流程PMID:日期:2026-09-10Single camera markerless motion capture is a low-cost, accessible motion capture technology that could be used to improve clinical decision making. However, current models lack the spatial and anatomical fidelity required for research-grade analysis, which prevents accurate modelling of 3D human gait dynamics. The purpose of the current study was threefold, 1) to develop a means of predicting 3D gait kinematics using consumer-grade video inputs, 2) to assess the accuracy of the method across a variety of ecologically relevant perturbations such as camera location, body size, and clothing characteristics, and 3) to assess the utility of the 3D gait kinematics to score walking gait quality. Treadmill walking data were recorded from four different camera angles, and a diverse range of participant characteristics and clothing conditions. A single LSTM deep neural network was trained from each of the four camera angles to predict the 3D anatomical landmarks recorded from a research-grade motion capture system consisting of 17 body-worn inertial measurement units. The model trained on data from the camera positioned on the front right (i.e., 2o'clock) of the treadmill demonstrated the best-performing model (RMSE of 2.97 cm and 4.24 degrees). Significant effects of clothing characteristics, gait strategy, and anthropometrics on model performance were observed. Acceptable agreement was observed between the gait profile scores calculated from the LSTM and research-grade motion capture system (RMSE = 2.07, ICC = 0.65). These results demonstrate the potential for single-camera markerless motion capture to produce clinical grade data in a healthy population, thereby improving the accessibility of clinical gait assessments.