Estimation of individual muscle forces during human movement can provide insight into neural control and tissue loading and can thus contribute to improved diagnosis and management of both neurological and orthopaedic conditions. Direct measurement of muscle forces is generally not feasible in a clinical setting, and non-invasive methods based on musculoskeletal modeling should therefore be considered. The current state of the art in clinical movement analysis is that resultant joint torques can be reliably estimated from motion data and external forces (inverse dynamic analysis). Static optimization methods to transform joint torques into estimates of individual muscle forces using musculoskeletal models, have been known for several decades. To date however, none of these methods have been successfully translated into clinical practice. The main obstacles are the lack of studies reporting successful validation of muscle force estimates, and the lack of user-friendly and efficient computer software. Recent advances in forward dynamics methods have opened up new opportunities. Forward dynamic optimization can be performed such that solutions are less dependent on measured kinematics and ground reaction forces, and are consistent with additional knowledge, such as the force-length-velocity-activation relationships of the muscles, and with observed electromyography signals during movement. We conclude that clinical applications of current research should be encouraged, supported by further development of computational tools and research into new algorithms for muscle force estimation and their validation.

Ahmet Erdemir

Scott McLean

Walter Herzog

Antonie J van den Bogert

Clinical biomechanics (Bristol, Avon)

《临床生物力学》是一本国际多学科的生物力学期刊，重点关注该领域新知识的医学和临床应用。生物力学科学有助于解释细胞、组织、器官和身体系统疾病的原因，并支持临床医生进行诊断，治疗方法和技术的预后和评价。 CLINICAL BIOMECHANICS 旨在通过发表尖端的生物力学研究来加强实验室和临床之间的联系，这些研究有助于解释损伤和疾病的原因，并为改善临床管理提供证据。采用严格的同行评审系统，每一次尝试都是致力于及时处理和发表高质量论文。临床生物力学探索身体系统、器官、组织和细胞生物力学的各个方面，重点是基础科学方面的医学和临床应用。因此，基础科学的作用在医学或临床环境中得到认可。该杂志的读者群密切反映了其多学科的内容，是科学家、工程师和临床医生的平衡。内容以研究论文、简要报告、评论论文和信函的形式出现，而特别感兴趣的问题和增刊则发表于涵盖的学科包括各种规模的生物力学和机械生物学、生物工程以及组织工程和生物材料在临床应用中的应用、生物物理学以及医疗机器人、人体工程学、物理和职业治疗和康复的生物力学方面。

Clinical Biomechanics is an international multidisciplinary journal focusing on the medical and clinical applications of new knowledge in the field of biomechanics. The science of biomechanics helps explain the causes of diseases affecting cells, tissues, organs, and body systems, and supports clinicians in diagnosis, treatment methods, and the prognosis and evaluation of techniques. Clinical Biomechanics aims to strengthen the connection between laboratory and clinical practice by publishing cutting-edge biomechanics research that elucidates the causes of injuries and diseases and provides evidence for improving clinical management. The journal employs a rigorous peer-review system, committed to the timely processing and publication of high-quality papers. Clinical Biomechanics explores various aspects of the biomechanics of body systems, organs, tissues, and cells, emphasizing the role of basic science in medical and clinical settings. The readership closely reflects its multidisciplinary content, comprising scientists, engineers, and clinicians. Content is presented in the form of research articles, brief reports, review papers, and letters, with special issues and supplements addressing topics in biomechanics, mechanobiology, bioengineering, clinical applications of tissue engineering and biomaterials, biophysics, medical robotics, ergonomics, and the biomechanics of physical and occupational therapy and rehabilitation.

《Clinical Biomechanics》是一本国际多学科的生物力学期刊，专注于该领域新知识的医学和临床应用。生物力学科学有助于解释细胞、组织、器官和身体系统疾病的原因，并支持临床医生进行诊断、治疗方法和技术的预后与评价。《Clinical Biomechanics》旨在通过发表前沿的生物力学研究，增强实验室与临床之间的联系，这些研究有助于解释损伤和疾病的成因，并为改善临床管理提供证据。该期刊采用严格的同行评审制度，致力于及时处理和发表高质量的论文。临床生物力学探索身体系统、器官、组织和细胞的生物力学各个方面，强调基础科学在医学和临床环境中的重要性。该杂志的读者群体反映了其多学科的内容，包括科学家、工程师和临床医生。内容形式包括研究论文、简要报告、评论论文和信函，特别感兴趣的问题和增刊涵盖生物力学、机械生物学、生物工程、组织工程、生物材料的临床应用、生物物理学、医疗机器人、人体工程学、物理和职业治疗及康复的生物力学等多个领域。

Clinical Biomechanics

Clin Biomech (Bristol)

Model-based estimation of muscle forces exerted during movements.

Clinical applications of current research should be encouraged, supported by further development of computational tools and research into new algorithms for muscle force estimation and their validation.

Category	Quartile
医学	3
医学, 工程生物医学	4
医学, 骨科	4
医学, 运动科学	4

Model-based estimation of muscle forces exerted during movements.

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Journal Info

Category	Quartile
SPORT SCIENCES	3