A Unified Data Architecture for Assessing Motor Symptoms in Parkinson's Disease.

Q3 Health Professions

Studies in Health Technology and Informatics Pub Date : 2023-09-12 DOI:10.3233/SHTI230689

Christopher Gundler, Qi Rui Zhu, Leona Trübe, Adrin Dadkhah, Tobias Gutowski, Moritz Rosch, Claudia Langebrake, Sylvia Nürnberg, Michael Baehr, Frank Ückert

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引用次数: 0

Abstract

Introduction: The diagnosis and treatment of Parkinson's disease depend on the assessment of motor symptoms. Wearables and machine learning algorithms have emerged to collect large amounts of data and potentially support clinicians in clinical and ambulant settings.

State of the art: However, a systematical and reusable data architecture for storage, processing, and analysis of inertial sensor data is not available. Consequently, datasets vary significantly between studies and prevent comparability.

Concept: To simplify research on the neurodegenerative disorder, we propose an efficient and real-time-optimized architecture compatible with HL7 FHIR backed by a relational database schema.

Lessons learned: We can verify the adequate performance of the system on an experimental benchmark and in a clinical experiment. However, existing standards need to be further optimized to be fully sufficient for data with high temporal resolution.

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帕金森病运动症状评估的统一数据架构

帕金森病的诊断和治疗依赖于运动症状的评估。可穿戴设备和机器学习算法已经出现，可以收集大量数据，并可能在临床和门诊环境中为临床医生提供支持。技术现状:然而，用于存储、处理和分析惯性传感器数据的系统和可重用的数据体系结构是不可用的。因此，研究之间的数据集差异很大，妨碍了可比性。概念:为了简化神经退行性疾病的研究，我们提出了一种兼容HL7 FHIR的高效实时优化架构，并以关系数据库模式为基础。经验教训:我们可以在实验基准和临床实验中验证系统的足够性能。然而，现有的标准需要进一步优化，以充分满足具有高时间分辨率的数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Studies in Health Technology and Informatics Health Professions-Health Information Management

CiteScore

1.20

自引率

0.00%

发文量

1463

期刊介绍： This book series was started in 1990 to promote research conducted under the auspices of the EC programmes’ Advanced Informatics in Medicine (AIM) and Biomedical and Health Research (BHR) bioengineering branch. A driving aspect of international health informatics is that telecommunication technology, rehabilitative technology, intelligent home technology and many other components are moving together and form one integrated world of information and communication media.