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[学术报告]Health Monitoring Applications with Real-time Clinical Decision Support-Hamid GholamHosseini教授讲座通知

来源: 发布时间:2018-11-26 点击: Views
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题目:Health Monitoring Applications with Real-time Clinical Decision Support

主讲人:Hamid GholamHosseini教授(新西兰奥克兰理工大学)

时间:2018年11月28日(星期三)16:00 —17:00

地点:大学城校区工学一号馆201

主持人:骆德汉

Abstract:

The incidence of cardiovascular disease and cancer continues to increase worldwide. Healthcare providers are facing significant challenges due to the increase of such incidence as well as aging population, staff workload, and need for leveraging big medical data for better health care delivery.

On the other hand, machine learning and information technology have made progress significantly to aid early diagnosis and address some of the healthcare-related challenges. However, still, the technical solutions lack in accuracy and reproducibility.

We are developing mobile-based health monitoring applications with clinical decision support features by taking the advantage of cloud-based computing and big data storage. Data analysis is carried out to detect the underlying signs and symptoms and identify significant changes to the monitoring signs. It is aimed to provide useful clinical decision support functionality in real-time. Integration of mobile-based health monitoring applications into the electronic health records can be achieved and make information available all time and everywhere to support clinicians as well as patients in making better decisions.

This talk will explore a couple of our current research and development approaches comprising vital signs monitoring and skin cancer detection for applications related to smarter healthcare.

报告人简介:

Dr Hamid GholamHosseiniis an Associate Professor at the Department of Electrical and Electronic Engineering, Auckland University of Technology, New Zealand. He completed a PhD in Biomedical Engineering at the Flinders University of Australia in 2002 and fulfilled his MSc in Electrical Engineering at the University of Tehran, Iran. His current research and development work combines areas of expertise ranging from Smart patient monitoring/ Biomedical signal and image processing/ Embedded and reconfigurable systems/ Odor reproduction and its application to tele-olfaction olfactory systems/ and e-Health for smarter healthcare.

Dr GholamHosseini holds honorary and visiting Professorships at Mälardalen University, Sweden and Guangdong University of Technology, China and has published more than 140 book chapters, journal papers and conference publications. He is a senior member of IEEE and Chapter Chair of Engineering in Medicine and Biology Society (EMBS) of IEEE New Zealand North Section.

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