MOPS - A feasibility study for working with GPS and sensor data in a medical context

2019 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2019-09-26 DOI:10.15439/2019F328

C. Meigen, Mandy Vogel, J. Bumberger

引用次数: 0

Abstract

New kinds of data collection like GPS-tracking, wearable sensors and mobile apps impose both technical and privacy challanges for medical research. In the MOPS study (Machbarkeitsstudie für Ortsbezogene Parameter und Sensordaten – feasibility study for geocoded parameters and sensor data) we provided 10 participants with a newly developed app and sensors for various physical and environmental parameters. We want to explore the feasibility of the recently established Medical Research Platform (MRP) of the Medical Faculty of the University of Leipzig and similar platforms for this kind of data collection and processing. After briefly describing the Medical Research Platform we report on the technical set-up of the MOPS project in this setting and first practical experiences.

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MOPS——在医疗环境中使用GPS和传感器数据的可行性研究

gps追踪、可穿戴传感器和移动应用程序等新型数据收集方式给医学研究带来了技术和隐私方面的挑战。在MOPS研究(machbarkeitsstudy f r Ortsbezogene Parameter und Sensordaten -地理编码参数和传感器数据的可行性研究)中，我们为10名参与者提供了一个新开发的应用程序和用于各种物理和环境参数的传感器。我们想探索最近建立的莱比锡大学医学院医学研究平台(MRP)和类似平台用于此类数据收集和处理的可行性。在简要描述了医学研究平台之后，我们报告了MOPS项目在这种环境下的技术设置和首次实践经验。

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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2019 Federated Conference on Computer Science and Information Systems (FedCSIS)

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