Discussion on the New Generation of Vascular Stent from the Development of Implantable Medical Devices

被引：0

作者：

Zhang M. ^{[1
]}

Wang J.-J. ^{[1
]}

Ma J. ^{[2
]}

Yang T. ^{[2
]}

Hu Z.-J. ^{[3
]}

Chen H.-Y. ^{[4
]}

Ren Y. ^{[1
]}

机构：

[1] Department of Electronic Engineering, Tsinghua University, Beijing

[2] Tianjin Networking Forever Technology Co., Ltd., Tianjin

[3] The First Affiliated Hospital, Sun Yat sen University, Guangzhou

[4] Zhongwei Tech Innovation (Beijing) Medical Research Institute Co., Ltd., Beijing

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 07期

关键词：

Cross body transmission; Implantable medical electronic devices; In vivo sensing; Intelligent vascular stents; Internal leakage; Recurrent stenosis; Wireless power supply;

D O I：

10.12263/DZXB.20200939

中图分类号：

学科分类号：

摘要：

With miniaturization, networklization and intelligentization of implantable medical electronic devices, the science and technology related are constantly updated and iterative. This paper reviews the development of implantable medical electronic devices as well as related crucial technologies, discusses from accurate sensing of physiological information in vivo, wireless reliable transmission to efficient processing of in vitro big data, and presents the latest development and direction of the scientific research. On this basis, the paper proposes a generation of intelligent vascular stents that can intelligently and constantly monitor "restenosis" and "endoleak" after stent implantation, which provides a concept and direction for the future development of vascular stents. This technology promotes China's internal implantable medical electronic devices to develop in the direction of high end and intelligentization. © 2021, Chinese Institute of Electronics. All right reserved.

引用

页码：1406 / 1416

页数：10

共 68 条

[41]

Wu H H, Boys J T, Covic G A., An AC processing pickup for IPT systems, IEEE Transactions on Power Electronics, 25, 5, pp. 1275-1284, (2009)

[42]

Kissin M L, Huang C Y, Covic G A, Boys JT., Detection of the tuned point of a fixed-frequency LCL resonant power supply, IEEE Transactions on Power Electronics, 24, 4, pp. 1140-1143, (2009)

[43]

Wang C S, Stielau O H, Covic G A., Design considerations for a contactless electric vehicle battery charger, IEEE Transactions on Industrial Electronics, 52, 5, pp. 1308-1314, (2005)

[44]

Kurs A, Karalis A, Et al., Wireless power transfer via strongly coupled magnetic resonances, Science, 317, 5834, pp. 83-86, (2007)

[45]

Li X, Tsui C Y, Ki W H., A 13.56 MHz wireless power transfer system with reconfigurable resonant regulating rectifier and wireless power control for implantable medical devices, IEEE Journal of Solid-State Circuits, 50, 4, pp. 978-989, (2015)

[46]

Ling Y, Hasan S A, Et al., Learning to diagnose: assimilating clinical narratives using deep reinforcement learning, Proceedings of the Eighth International Joint Conference on Natural Language Processing, pp. 895-905, (2017)

[47]

Khiati R, Hanif M, Lee C., Adapting distributed stream processing technologies for the automation of modern health care systems, 2020 22nd International Conference on Advanced Communication Technology (ICACT), pp. 491-496, (2020)

[48]

Clim A, Zota R, Constantinescu R, Ilie Nemedi I., Health services in smart cities: Choosing the big data mining based decision support, International Journal of Healthcare Management, 13, 1, pp. 79-87, (2020)

[49]

Xu J, Wei L, Et al., Privacy preserving data integrity verification by using lightweight streaming authenticated data structures for healthcare cyber physical system, Future Generation Computer Systems, 108, 1, pp. 1287-1296, (2020)

[50]

Falcone T, Dagar A, Et al., Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis, Epilepsia, 61, 5, pp. 951-958, (2020)

← 1 2 3 4 5 6 7 →