Diaz Maximillian T, Benoit Alexis R, Kearney Kalyn M, Kelly Troy F, Lindbeck Erica M, Tappan Isaly, Bowers William S, Durai Lavanya, Nunag Justin B, Officer Michael B, Harley Joel B, Nichols Jennifer A
bioRxiv. 2025 Aug 25:2025.08.21.671503. doi: 10.1101/2025.08.21.671503.
Developing musculoskeletal hand models requires a variety of experimental biomechanics data. However, collecting robust biomechanics hand data is a time intensive process leading to a lack of widely available datasets. To address this issue the biomechanics hand modeling database (BHaM) was made as a collection of experimental data to aid the development, testing, and validation of musculoskeletal models and simulations. BHaM includes two datasets: (1) a population dataset (n = 726 adults) describing hand strength (pinch and grip), self-reported hand function (Michigan Hand Questionnaire), and anthropometric measurements (from photographs), and (2) a biomechanics dataset (n = 30 adults) describing kinematics (marker-based motion capture), kinetics (isometric and isokinetic data), and electromyography (surface and fine wire) during 19 tasks across the elbow, wrist, and hand. A subset of the biomechanics dataset (n = 15 adults) also includes magnetic resonance imaging of the shoulder through wrist. Participants for both datasets were recruited to represent a diverse population of healthy adults, ranging from 18 to 91 years.
开发肌肉骨骼手部模型需要各种实验生物力学数据。然而，收集可靠的生物力学手部数据是一个耗时的过程，导致缺乏广泛可用的数据集。为了解决这个问题，生物力学手部建模数据库（BHaM）作为实验数据的集合而创建，以帮助肌肉骨骼模型和模拟的开发、测试和验证。BHaM包括两个数据集：（1）一个人群数据集（n = 726名成年人），描述手部力量（捏力和握力）、自我报告的手部功能（密歇根手部问卷）以及人体测量数据（来自照片）；（2）一个生物力学数据集（n = 30名成年人），描述肘部、腕部和手部在19项任务中的运动学（基于标记的运动捕捉）、动力学（等长和等速数据）以及肌电图（表面和细丝）。生物力学数据集的一个子集（n = 15名成年人）还包括从肩部到腕部的磁共振成像。两个数据集的参与者均被招募来代表年龄在18至91岁之间的不同健康成年人群体。
