Wireless Power Transfer and Data Communication for Intracranial Neural Recording Applications

2020 ◽  
Author(s):  
Kerim Türe ◽  
Catherine Dehollain ◽  
Franco Maloberti
Measurement ◽  
2017 ◽  
Vol 109 ◽  
pp. 316-325 ◽  
Author(s):  
Shitong Mao ◽  
Hao Wang ◽  
Chunbo Zhu ◽  
Zhi-Hong Mao ◽  
Mingui Sun

2020 ◽  
Vol 67 (11) ◽  
pp. 3978-3990
Author(s):  
Aref Trigui ◽  
Mohamed Ali ◽  
Sami Hached ◽  
Jean-Pierre David ◽  
Ahmed Chiheb Ammari ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3330 ◽  
Author(s):  
Abderrahim Okba ◽  
Dominique Henry ◽  
Alexandru Takacs ◽  
Hervé Aubert

This paper addresses the implementation of autonomous radiofrequency identification sensor nodes based on wireless power transfer. For size reduction, a switching method is proposed in order to use the same frequency band for both supplying power to the nodes and wirelessly transmitting the nodes’ data. A rectenna harvests the electromagnetic energy delivered by the dedicated radiofrequency source for charging a few-mF supercapacitor. For supercapacitors of 7 mF, it is shown that the proposed autonomous sensor nodes were able to wirelessly communicate with the reader at 868 MHz for 10 min without interruption for a tag-to-reader separation distance of 1 meter. This result was obtained from effective radiated powers of 2 W during the supercapacitor charging and of 100 mW during the wireless data communication.


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