Hand Motion Patterns Derived from Empathokinaesthetic Sensor Data as a Diagnostic Parameter for Disease Activity in Patients with Rheumatic Diseases (D01)
Hand Motion Patterns Derived from Empathokinaesthetic Sensor Data as a Diagnostic Parameter for Disease Activity in Patients with Rheumatic Diseases (D01)
批准号:
465068416
负责人:
金额:
$0.0万
依托单位国家:
德国
项目类别:
Collaborative Research Centres
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:
中文摘要
在标准化测试中,将结合广泛收集的临床手功能数据,对患有RA和PSA的患者(N=150)进行全面的疾病活动临床状态评估。将为健康对照受试者(N=75)收集相同的数据集。手功能的并行评估与“最先进的”运动捕捉传感器系统将为实验评估和与EmpkinS中新开发的硬件(项目A01、A02和A03)集成数据解释提供关键基础,这些硬件将从第一个资助期的后半段开始实施手功能评估。
英文摘要
In a standardized stetting a comprehensive clinical status of disease activity will be assessed in patients (N = 150) with RA and PsA in combination with an extensive collection of clinical hand function data. An identical data set will be collected for healthy control subjects (N = 75). The parallel assessment of hand function with „state-of-the-art“ motion capture sensor system will provide a critical foundation for the experimental evaluation and integrated data interpretation with the newly developed hardware within EmpkinS (Projects A01, A02 and A03), which will be implemented for hand function assessments starting in the second half of the first funding period.
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