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Towards circuit integration on fully flexible parylene substrates.

Ke Wang1, Marice van Deurzen, Nico Kooyman

  • 1Minimally Invasive Healthcare Department, Philips Research, Eindhoven, The Netherlands. ke.wang@philips.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

A new substrate transfer technology enables device fabrication using silicon methods before parylene integration. This allows for high-quality, flexible, and biocompatible devices for applications like neural interfaces.

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Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Electrical Engineering

Background:

  • Conventional fabrication methods often limit substrate choices for advanced devices.
  • Integrating high-performance electronic components with flexible, biocompatible materials presents significant challenges.

Purpose of the Study:

  • To introduce a novel substrate transfer technology for device fabrication.
  • To enable the use of conventional silicon-based processing for devices integrated with parylene.

Main Methods:

  • Development of a substrate transfer technique.
  • Fabrication of parylene-based metal microelectrode arrays.
  • Integration of high-temperature silicon oxide passivation layers.

Main Results:

  • Demonstration of a functional parylene-based metal microelectrode array.
  • Successful integration of devices processed with conventional silicon techniques onto flexible substrates.
  • Achieved high-quality device performance combined with substrate flexibility and biocompatibility.

Conclusions:

  • The presented substrate transfer technology facilitates the creation of advanced electronic devices.
  • This approach merges the benefits of established silicon processing with the advantages of thin, flexible, and biocompatible parylene substrates.
  • The technology holds significant promise for biomedical applications, particularly in the development of implantable neural interfaces.