{"title":"Toward a Consistent Framework for Describing the Free Vibration Modes of the Brain.","authors":"Turner Jennings, Rouzbeh Amini, Sinan Müftü","doi":"10.1115/1.4067699","DOIUrl":"10.1115/1.4067699","url":null,"abstract":"<p><p>Frequency-domain analysis of brain tissue motion has received increased focus in recent years as an approach to describing the response of the brain to impact or vibration sources in the built environment. While researchers in many experimental and numerical studies have sought to identify natural resonant frequencies of the brain, sparse description of the associated vibration modes limits comparison of results between studies. We performed a modal analysis to extract the natural frequencies and associated mode shapes of a finite element (FE) model of the head. The vibration modes were characterized using two-dimensional (2D) plate deformation notation in the basic medical planes. Many of the vibration modes characterized are similar to those found in previous numerical and experimental studies. We propose this characterization method as an approach to increase compatibility of results between studies of brain vibration behavior.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Biomechanical Comparison of Human Walking Locomotion on Solid Ground and Sand.","authors":"Chunchu Zhu, Xunjie Chen, Jingang Yi","doi":"10.1115/1.4067842","DOIUrl":"10.1115/1.4067842","url":null,"abstract":"<p><p>Current studies on human locomotion focus mainly on solid ground walking conditions. In this paper, we present a biomechanical comparison of human walking locomotion on solid ground and sand. A novel dataset containing three-dimensional motion and biomechanical data from 20 able-bodied adults for walking locomotion on solid ground and sand is collected. We present the data collection methods and report the sensor data along with the kinematic and kinetic profiles of joint biomechanics. The results reveal significant gait adaptations to the yielding terrain (i.e., sand), such as increased stance duration, reduced push-off force, and altered joint angles and moments. Specifically, the knee angle during the gait cycle on sand shows a delayed peak flexion and an increased overall magnitude, highlighting an adaptation to maintain stability on yielding terrain. These adjustments, including changes in joint timing and energy conservation mechanisms, provide insights into the motion control strategies humans adopt to navigate on yielding terrains. The dataset, containing synchronized ground reaction forces (GRFs) and kinematic data, offers a valuable resource for further exploration in foot-terrain interactions and human walking assistive devices development on yielding terrains.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shaolong Tang, Dan Pan, Siyuan Chen, Hengyuan Li, Zhaoming Ye
{"title":"Biomechanical Analysis for Enhanced Expulsion-Proof Intervertebral Fusion Device.","authors":"Shaolong Tang, Dan Pan, Siyuan Chen, Hengyuan Li, Zhaoming Ye","doi":"10.1115/1.4067574","DOIUrl":"10.1115/1.4067574","url":null,"abstract":"<p><p>This study aimed to compare the sinking and shifting characteristics of an enhanced expulsion-proof intervertebral fusion device (EEIFD) with a traditional transforaminal lumbar interbody fusion device (TTLIFD). Five specimens of each device were selected for analysis. Four mechanical tests-compression, subsidence, expulsion, and torque-were conducted for each cage. Additionally, a blade-cutting torque test was performed on the EEIFD, with load-displacement curves and mechanical values recorded. In static axial compression, static subsidence, and dynamic subsidence tests, the EEIFD demonstrated performance comparable to the TTLIFD. In expulsion testing, the maximum expulsion force for the EEIFD when the blade was rotated out (534.02 ± 21.24 N) was significantly higher than when the blade was not rotated out (476.97 ± 24.45 N) (P = 6.81 × 10-4). Moreover, the maximum expulsion force for the EEIFD with blade rotation (534.02 ± 21.24 N) was significantly higher than that of the TTLIFD (444.01 ± 12.42 N) (P = 9.82 × 10-5). These findings indicated that the EEIFD effectively enhanced expulsion prevention and antisubsidence performance.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142959065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haidong Teng, Tinghui Sun, Jingheng Shu, Bingmei Shao, Zhan Liu
{"title":"Effect of Various Degrees of Anterior Disc Displacement on the Biomechanical Response of the Masticatory System.","authors":"Haidong Teng, Tinghui Sun, Jingheng Shu, Bingmei Shao, Zhan Liu","doi":"10.1115/1.4067982","DOIUrl":"10.1115/1.4067982","url":null,"abstract":"<p><p>Anterior disc displacement (ADD) is one of the most prevalent temporomandibular disorders (TMD). It was widely recognized that occlusal factors could affect temporomandibular joint (TMJ). However, the impacts of ADD on the biomechanical environment of TMJ and occlusion are still unclear. This study aimed to describe the effects of ADD on the masticatory system, including TMJ and occlusion. The finite element model (FEM) was constructed based on the medical images of a healthy adult male. The complete skull, masticatory muscles, TMJs, and related ligaments were included. Three FEMs with different degrees of ADD were constructed with disc-condyle angles of 10 deg, 20 deg, and 30 deg. The muscle forces corresponding to intercuspal clenching (ICC) were applied as the loading condition. Four models were conducted: normal, mild, moderate, and severe ADD. It was found that the overall stress distribution was relatively consistent across the four models. The contact stress on the TMJ and occlusion in severe ADD was visibly different from the other three models. In addition, the contact stress on the condyle gradually increased with the increasing occlusal strength. Abnormally high-stress concentration began to appear on the condyle at 30% muscle strength. Moderate ADD was more of a transitional stage. Compared to mild and moderate ADD, severe ADD had visibly effects on the stress response of the TMJ and the entire mandible (including occlusion), such as abnormally high stresses of the condyle, stress concentration on the second molar, and prone to disc extrusion and anterior slippage during high-strength occlusion.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the Influence of Feature Selection Methods on a Random Forest Model for Gait Time Series Prediction Using Inertial Measurement Units.","authors":"Shima Mohammadi Moghadam, Julie Choisne","doi":"10.1115/1.4067821","DOIUrl":"10.1115/1.4067821","url":null,"abstract":"<p><p>Despite the increasing use of inertial measurement units (IMUs) and machine learning techniques for gait analysis, there remains a gap in which feature selection methods are best tailored for gait time series prediction. This study explores the impact of using various feature selection methods on the performance of a random forest (RF) model in predicting lower limb joints kinematics from two IMUs. The primary objectives of this study are as follows: (1) Comparing eight feature selection methods based on their ability to identify more robust feature sets, time efficiency, and impact on RF models' performance, and (2) assessing the performance of RF models using generalized feature sets on a new dataset. Twenty-three typically developed (TD) children (ages 6-15) participated in data collection involving optical motion capture (OMC) and IMUs. Joint kinematics were computed using opensim. By employing eight feature selection methods (four filter and four embedded methods), the study identified 30 important features for each target. These selected features were used to develop personalized and generalized RF models to predict lower limbs joints kinematics during gait. This study reveals that various feature selection methods have a minimal impact on the performance of personalized and generalized RF models. However, the RF and mutual information (MI) methods provided slightly lower errors and outliers. MI demonstrated remarkable robustness by consistently identifying the most common features across different participants. ElasticNet emerged as the fastest method. Overall, the study illuminated the robustness of RF models in predicting joint kinematics during gait in children, showcasing consistent performance across various feature selection methods.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143375027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Force-Sensor-Less Approach for Rapid Young's Modulus Identification of Heterogeneous Soft Tissue.","authors":"Zhen Wang, Tian Xu, Mengruo Shen, Yong Lei","doi":"10.1115/1.4067735","DOIUrl":"10.1115/1.4067735","url":null,"abstract":"<p><p>Due to individual differences, accurate identification of tissue elastic parameters is essential for biomechanical modeling in surgical guidance for hepatic venous injections. This paper aims to acquire the absolute Young's modulus of heterogeneous soft tissues during endoscopic surgery with two-dimensional (2D) ultrasound images. First, we introduced a force-sensor-less approach that utilizes a precalibrated soft patch with a known Young's modulus and its ultrasound images to calculate the external forces exerted by the probe on the tissue. Second, we introduced a Kriging-based inverse algorithm to identify the relative Young's modulus (RYM) between the inclusion and the background tissue. The RYM was estimated based on 2D plane strain approximation and mapped to the RYM of three-dimensional (3D) soft tissue through a trained Kriging model. Finally, we developed a direct method to identify the background Young's modulus (BYM) based on calculated external forces and RYM. The simulation results demonstrate the high efficiency and robustness of the Kriging-based inverse algorithm in identifying RYM. Physical experiments on the three phantoms show that the errors of the identified BYM and RYM are all below 15%. The proposed methodology for Young's modulus identification is feasible and achieves satisfactory accuracy and computational efficiency in both simulations and physical experiments.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Variation in Layer-Specific Tear Properties of the Human Aorta Along Its Length and Circumference: Implications for Spatial Susceptibility to Dissection Initiation.","authors":"Dimitrios P Sokolis","doi":"10.1115/1.4067912","DOIUrl":"10.1115/1.4067912","url":null,"abstract":"<p><p>Hemodynamic variations influence the location of entry tears in aortic dissection. This study investigates whether variations in tear strength across the human aorta contribute to these clinical manifestations. Circumferential and axial strips were collected from nine axial and two circumferential sites along each autopsied aorta, yielding 1188 samples (11 aortas × 18 sites × 2 directions × 3 layers per site). These samples underwent tear testing to assess tear strength and tear energy, constituting resistance to tear propagation. Adventitial tear parameters were significantly higher than those of the intima and media, with no significant differences between the latter two, supporting the observation that entry tears typically occur in the inner wall. Tear propagation angles were approximately 15 and 75 deg for circumferential and axial medial strips, and 30 and 45 deg for circumferential and axial strips of the intima and adventitia, with minimal variation along the aorta. These findings indicate that the media, and to a lesser extent the other layers, have higher resistance to axial tearing compared to circumferential tearing, aligning with the clinical observation of circumferentially directed tears. Intimal and adventitial tear parameters increased modestly along the aorta, while medial parameters varied less, explaining why entry tears rarely originate in the abdominal aorta. Tear parameters in inner and outer quadrants were similar at most axial locations, except for dissimilar tear propagation angles of the intima and adventitia in the proximal aorta (especially the arch), explaining why entry tears seldom involve the entire circumference.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simultaneous Prediction of Multiple Unmeasured Muscle Activations Through Synergy Extrapolation.","authors":"Shadman Tahmid, James Yang","doi":"10.1115/1.4067520","DOIUrl":"10.1115/1.4067520","url":null,"abstract":"<p><p>Estimating muscle forces is crucial for understanding joint dynamics and improving rehabilitation strategies, particularly for patients with neurological disorders who suffer from impaired muscle function. Muscle forces are directly proportional to muscle activations, which can be obtained using electromyography (EMG). EMG-driven modeling estimates muscle forces and joint moments from muscle activations. While surface muscles' activations can be obtained using surface electrodes, deep muscles require invasive methods and are not readily available for real-time applications. This study aims to extend our previously developed method for a single unmeasured muscle to a comprehensive approach for the simultaneous prediction of multiple unmeasured muscle activations in the upper extremity using muscle synergy extrapolation and EMG-driven modeling. By employing non-negative matrix factorization to decompose known EMG data into synergy components, the activations of unmeasured muscles are reconstructed with high accuracy by minimizing differences between joint moments obtained by EMG-driven modeling and inverse dynamics. This methodology is validated through experimentally collected muscle activations, demonstrating over 90% correlation with EMG signals in various scenarios.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generating Virtual Bone Scans for the Purpose of Investigating the Effects of Cortical Microstructure.","authors":"Zachary B Toth, Joshua A Gargac","doi":"10.1115/1.4067576","DOIUrl":"10.1115/1.4067576","url":null,"abstract":"<p><p>Evaluating the contribution of microstructure to overall bone strength is tricky since it is difficult to control changes to pore structure in human or animal samples. We developed an open-source program that can generate three-dimensional (3D) models of micron-scale cortical bone. These models can be highly customized with a wide array of variable input parameters to allow for generation of samples similar to micro-computed topography scans of cortical bone or with specific geometric features. The program can generate samples with specific desired porosities and minor deviations in pore diameter from human samples: 1.67% (±4.90) using literature values, and 1.36% (±2.39) with optimized values. When coupled with finite element analysis, this open-source program could be a useful tool for evaluating stress distributions caused by microstructural changes.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142959077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Influence of Occupant Characteristics, Seat Positioning, and Pre-Crash Maneuvers on Front Passenger Safety Performance.","authors":"Akshay Dahiya, Costin Untaroiu","doi":"10.1115/1.4067331","DOIUrl":"10.1115/1.4067331","url":null,"abstract":"<p><p>Crash avoidance vehicle maneuvers are known to influence occupant posture and kinematics which consequently may influence injury risks in the event of a crash. In this work, a generic buck vehicle finite element (FE) model was developed which included the vehicle interior and the front passenger airbag (PAB). Seat position and occupant characteristics including anthropometry, sex, and age were varied in a design of experiments. Two pre-crash maneuvers representing (1) a generic 1 g braking and (2) turning-and-braking scenarios were simulated. Rigid-body human models with active joints (GHBMCsi-pre models) obtained by morphing a 50th male model to selected anthropometries were used in pre-crash simulations. The kinematics data of belted GHBMCsi-pre models at the end of the pre-crash phase were transferred using a developed switch algorithm to the corresponding morphed Global Human Body Model Consortium (GHBMC) occupant simplified (OS) models to predict occupant injury risks. Finally, an FMVSS-208 pulse was applied to simulate the in-crash phase. During both pre-crash maneuvers, the occupant's head and thorax moved forward toward the dashboard. Therefore, the head and thorax contacted the PAB earlier, leading to lower head accelerations when the pre-crash phase was considered. Overall, it was concluded that pre-crash braking decreased the severity of injury sustained by the passenger. Seat track position and seat recline angle showed the highest influence on the head injury criterion (HIC). The brain injury criterion (BrIC) and neck injury criterion (Nij) were most sensitive to pre-crash maneuver type, seat recline angle, and occupant size.</p>","PeriodicalId":54871,"journal":{"name":"Journal of Biomechanical Engineering-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}