Database Covering the Previously Excluded Daily Life Activities

<p><strong>Database Covering the Previously Excluded Daily Life Activities</strong></p>

<p><strong>In biomedical engineering, implants are designed according to the boundary conditions of gait data and tested against. However, due to diversity in cultural backgrounds, religious rituals might cause different ranges of motion and different loading patterns.&nbsp; Especially in the Eastern part of the world, diverse Activities of Daily Living (ADL) consist of salat, yoga rituals, and different style sitting postures.&nbsp; Although databases cover ADL for the Western population, a database covering these diverse activities of the Eastern world, specific to these populations is non-existent. To include previously excluded ADL is a key step in understanding the kinematics and kinetics of these activities. By means of developments in motion capture technologies, excluded ADL data are captured to obtain the coordinate values to calculate the range of motion and the joint reaction forces. This study focuses on data collection protocol and the creation of an online database of previously excluded ADL activities, targeting 200 healthy subjects via Qualisys and IMU motion capture systems, and force plates, from West and Middle East Asian populations. Anthropometrics are known to affect kinematics and kinetics which are also included in the collected data.&nbsp; The current version of the database covers 50 volunteers for 12 different activities, the database aims for 100- male and 100- female healthy volunteers as the final target including C3D and BVH file types. The tasks are defined and listed in a table to create a database to make a query based on age, gender, BMI, type of activity and motion capture system. The data is collected only from a healthy population to understand healthy motion patterns during these previously excluded ADLs. &nbsp; The collected data is to be used for designing implants to allow these sorts of activities to be performed without compromising the quality of life of patients performing these activities in the future. &nbsp; </strong></p>

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<p><strong>涵盖先前被排除的日常生活活动数据库</strong></p>

<p><strong>在生物医学工程领域，植入物的设计依据步态数据的边界条件，并对其进行测试。然而，由于文化背景的多样性，宗教仪式可能导致不同的运动范围和不同的载荷模式。特别是在世界东方，多样化的日常生活活动（ADL）包括祷告、瑜伽仪式以及各式各样的坐姿。尽管数据库涵盖了西方人口的ADL，但针对这些东方世界多样化的活动，且针对这些特定人群的数据库尚不存在。将先前被排除的ADL纳入考量，是理解这些活动运动学和动力学的关键步骤。通过运动捕捉技术的发展，收集被排除的ADL数据，以获取坐标值，进而计算运动范围和关节反作用力。本研究聚焦于数据收集协议和创建一个在线数据库，专门收录先前被排除的ADL活动，通过Qualisys和IMU运动捕捉系统以及力板，针对西中东亚洲人群的200名健康受试者进行数据收集。已知人体测量学参数会影响运动学和动力学，这些参数亦包含在收集的数据中。当前数据库版本涵盖了50名志愿者进行12种不同的活动，其最终目标是包含100名男性和100名女性的健康志愿者，并涵盖C3D和BVH文件类型。任务被定义并列出表格，以创建一个数据库，可根据年龄、性别、BMI、活动类型和运动捕捉系统进行查询。数据仅从健康人群收集，以理解在先前被排除的ADL中进行的活动中的健康运动模式。所收集的数据将用于设计植入物，以便在未来允许患者执行此类活动，而不会降低其生活质量。</strong></p>