一种用于远程医疗云平台电生理信号恢复的3R数据流引擎

2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2012-12-13 DOI:10.1109/HealthCom.2012.6379468

Yingrui Zhang, A. Huang, Daoxian Wang, Xiaohui Duan, B. Jiao, Linzhen Xie, Fan Liu, Shan Wang

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引用次数: 10

摘要

今天，信息技术在促进通过数字信息系统提供医疗信息的卫生服务方面发挥着关键作用。不幸的是，由于传统医学信号识别的限制，数字化的数据可能无法被医疗专业人员理解。为了应对这一挑战，我们设计了一个3R(重新计时，再生，重塑)数据流引擎，可以将电生理数据恢复到其原始医学模式。我们在北京大学人民医院的云平台上开展了临床试验。临床结果证明，该方案回放精度高，与医学诊断标准吻合良好。经过我们的临床试验证明，该解决方案可以成为医疗平台临床治疗和诊断的非常有用的工具。

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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A 3R dataflow engine for restoring electrophysiological signals in telemedicine cloud platforms

Today, IT technology plays a key role in promoting health services which provide medical information over a digital information system. Unfortunately, the digitized data may be not understood by medical professionals due to the limitation of conventional medical signal recognition. To deal with this challenge, we design a 3R (Retiming, Regeneration, Reshaping) dataflow engine that can restore electrophysiological data into its original medical patterns. We carried out clinical trials on our cloud platform in PKU's People Hospital. Clinical results proved that our solution produces high playback accuracy and matches with medical diagnosis criteria very well. With the proof of our clinical tests, this solution can be a very useful tool for clinical treatment and diagnosis in medical platforms.

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来源期刊

2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)

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