Keynote Paper: From EDA to IoT eHealth: Promises, Challenges, and Solutions

被引:54
|
作者
Firouzi, Farshad [1 ]
Farahani, Bahar [2 ]
Ibrahim, Mohamed [3 ]
Chakrabarty, Krishnendu [3 ]
机构
[1] MSG Grp, D-85737 Hamburg, Germany
[2] Univ Tehran, Dept Elect & Comp Engn, Tehran 14399515, Iran
[3] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA
关键词
Big Data; Edge computing; Electronic healthcare; Internet of Things; Machine learning; ON-A-CHIP; DIGITAL-MICROFLUIDIC BIOCHIPS; SINGLE-CELL ANALYSIS; HEALTH-CARE-SYSTEM; BIG DATA; ATRIAL-FIBRILLATION; ROUTING ALGORITHM; MODULE PLACEMENT; LEVEL SYNTHESIS; INTERNET;
D O I
10.1109/TCAD.2018.2801227
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The interaction between technology and healthcare has a long history. However, recent years have witnessed the rapid growth and adoption of the Internet of Things (IoT) paradigm, the advent of miniature wearable biosensors, and research advances in big data techniques for effective manipulation of large, multiscale, multimodal, distributed, and heterogeneous data sets. These advances have generated new opportunities for personalized precision eHealth and mHealth services. IoT heralds a paradigm shift in the healthcare horizon by providing many advantages, including availability and accessibility, ability to personalize and tailor content, and cost-effective delivery. Although IoT eHealth has vastly expanded the possibilities to fulfill a number of existing healthcare needs, many challenges must still be addressed in order to develop consistent, suitable, safe, flexible, and power-efficient systems that are suitable fit for medical needs. To enable this transformation, it is necessary for a large number of significant technological advancements in the hardware and software communities to come together. This keynote paper addresses all these important aspects of novel IoT technologies for smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics. It identifies new perspectives and highlights compelling research issues and challenges, such as scalability, interoperability, device-network-human interfaces, and security, with various case studies. In addition, with the help of examples, we show how knowledge from CAD areas, such as large scale analysis and optimization techniques can be applied to the important problems of eHealth.
引用
收藏
页码:2965 / 2978
页数:14
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