Current state and progress of research on forensic biomechanics in China

Chen, Yijiu

doi:10.1080/20961790.2021.1879365

Cited by 6 publications

(5 citation statements)

References 71 publications

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“…Typically, a reconstruction of the dynamics may be requested in the event of traffic accidents, which helps authorities determine the responsible party in an accident. In recent times, bioengineering techniques have become increasingly involved in forensic disputes ( Durante, 2019 ; Li et al, 2021b ; Chen, 2021 ). The application of MB dynamics simulations for collision reconstruction may have significant advantages over traditional expert approaches in some cases.…”

Section: Discussionmentioning

confidence: 99%

Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents

Zou

Fan

Liu

et al. 2022

Front. Bioeng. Biotechnol.

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In vehicle–pedestrian accidents, the preimpact conditions of pedestrians and vehicles are frequently uncertain. The incident data for a crash, such as vehicle deformation, injury of the victim, distance of initial position and rest position of accident participants, are useful for verification in MAthematical DYnamic MOdels (MADYMO) simulations. The purpose of this study is to explore the use of an improved optimization algorithm combined with MADYMO multibody simulations and crash data to conduct accurate reconstructions of vehicle–pedestrian accidents. The objective function of the optimization problem was defined as the Euclidean distance between the known vehicle, human and ground contact points, and multiobjective optimization algorithms were employed to obtain the local minima of the objective function. Three common multiobjective optimization algorithms—nondominated sorting genetic algorithm-II (NSGA-II), neighbourhood cultivation genetic algorithm (NCGA), and multiobjective particle swarm optimization (MOPSO)—were compared. The effect of the number of objective functions, the choice of different objective functions and the optimal number of iterations were also considered. The final reconstructed results were compared with the process of a real accident. Based on the results of the reconstruction of a real-world accident, the present study indicated that NSGA-II had better convergence and generated more noninferior solutions and better final solutions than NCGA and MOPSO. In addition, when all vehicle-pedestrian-ground contacts were considered, the results showed a better match in terms of kinematic response. NSGA-II converged within 100 generations. This study indicated that multibody simulations coupled with optimization algorithms can be used to accurately reconstruct vehicle-pedestrian collisions.

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Section: Discussionmentioning

confidence: 99%

Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents

Zou

Fan

Liu

et al. 2022

Front. Bioeng. Biotechnol.

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“…Commonly, the identification opinions mechanisms and injury manners are often the key evidence for liability distribution, insurance compensation, and even criminal convictions. However, identification mostly relies on clinical classification and expert experience, and there is a lack of systematic understanding of the mechanism of pelvic fractures exists [21].…”

Section: Discussionmentioning

confidence: 99%

“…Presently, the clinical classification of pelvic fractures is dependent on the Tile, Tile/AO, Young and Burgess classification [18][19][20], which cannot cover most of the forensic problems and is difficult to apply directly to practice. Additionally, a lack of systematic studies exists on the effects of boundary and loading conditions on pelvic fracture based on biomechanical approaches [21].…”

Section: Introductionmentioning

confidence: 99%

Effects of Loading Conditions on the Pelvic Fracture Biomechanism and Discrimination of Forensic Injury Manners of Impact and Run-Over Using the Finite Element Pelvic Model

Zou

Zhang

et al. 2022

Applied Sciences

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This study aimed to systematically simulate the responses of pelvic fracture under impact and run-over to clarify the effects of boundary and loading conditions on the pelvic fracture mechanism and provide complementary quantitative evidence for forensic practice. Based on the THUMS finite element model, we have validated the simulation performance of the model by a real postmortem human pelvis side impact experiment. A total of 54 simulations with two injury manners (impact and run-over), seven loading directions (0°, 30°, 60°, 90°, 270°, 300°, 330°), and six loading velocities (10, 20, 30, 40, 50, and 60 km/h) were conducted. Criteria of effective strain, Von-Mises stress, contact force, and self-designed normalized eccentricity were used to evaluate the biomechanism of pelvic fracture. Based on our simulation results, it’s challenging to distinguish impact from run-over only rely on certain characteristic fractures. Loads on the front and back were less likely to cause pelvic fractures. In the 30°, 60°, 300° load directions, the overall deformation caused a “diagonal” pelvic fracture. The higher is the velocity (kinetic energy), the more severe is the pelvic fracture. The contact force will predict the risk of fracture. In addition, our self-designed eccentricity will distinguish the injury manner of impact and run-over under the 90° loads. The “biomechanical fingerprints” based on logistic regression of all biomechanical variables have an AUC of 0.941 in discriminating the injury manners. Our study may provide simulation evidence and new methods for the forensic community to improve the forensic identification ability of injury manners.

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“…Most recent work on metric age assessment is based on traditional, atlas-based methods [ 61 , 62 ]. There are also works on adult age assessment [ 63 , 64 , 65 ]. It seems that the challenge of the 21st century is to develop modern tools that would allow measurements and classifications to be made automatically.…”

Section: Discussionmentioning

confidence: 99%

Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods

Zaborowicz

Biedziak

Olszewska

et al. 2021

Sensors

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The analog methods used in the clinical assessment of the patient’s chronological age are subjective and characterized by low accuracy. When using those methods, there is a noticeable discrepancy between the chronological age and the age estimated based on relevant scientific studies. Innovations in the field of information technology are increasingly used in medicine, with particular emphasis on artificial intelligence methods. The paper presents research aimed at developing a new, effective methodology for the assessment of the chronological age using modern IT methods. In this paper, a study was conducted to determine the features of pantomographic images that support the determination of metric age, and neural models were produced to support the process of identifying the age of children and adolescents. The whole conducted work was a new methodology of metric age assessment. The result of the conducted study is a set of 21 original indicators necessary for the assessment of the chronological age with the use of computer image analysis and neural modelling, as well as three non-linear models of radial basis function networks (RBF), whose accuracy ranges from 96 to 99%. The result of the research are three neural models that determine the chronological age.

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Current state and progress of research on forensic biomechanics in China

Cited by 6 publications

References 71 publications

Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents

Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents

Effects of Loading Conditions on the Pelvic Fracture Biomechanism and Discrimination of Forensic Injury Manners of Impact and Run-Over Using the Finite Element Pelvic Model

Tooth and Bone Parameters in the Assessment of the Chronological Age of Children and Adolescents Using Neural Modelling Methods

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