A Hybrid 3D Printing and Robotic-assisted Embedding Approach for Design and Fabrication of Nerve Cuffs with Integrated Locking Mechanisms. (23rd April 2018)
- Record Type:
- Journal Article
- Title:
- A Hybrid 3D Printing and Robotic-assisted Embedding Approach for Design and Fabrication of Nerve Cuffs with Integrated Locking Mechanisms. (23rd April 2018)
- Main Title:
- A Hybrid 3D Printing and Robotic-assisted Embedding Approach for Design and Fabrication of Nerve Cuffs with Integrated Locking Mechanisms
- Authors:
- Tong, Yuxin
Murbach, Jamie M.
Subramanian, Vivek
Chhatre, Shrirang
Delgado, Francisco
Martin, David C.
Otto, Kevin J.
Romero-Ortega, Mario
Johnson, Blake N. - Abstract:
- ABSTRACT: The ability to interface electronic materials with the peripheral nervous system is required for stimulation and monitoring of neural signals. Thus, the design and engineering of robust neural interfaces that maintain material-tissue contact in the presence of material or tissue micromotion offer the potential to conduct novel measurements and develop future therapies that require chronic interface with the peripheral nervous system. However, such remains an open challenge given the constraints of existing materials sets and manufacturing approaches for design and fabrication of neural interfaces. Here, we investigated the potential to leverage a rapid prototyping approach for the design and fabrication of nerve cuffs that contain supporting features to mechanically stabilize the interaction between cuff electrodes and peripheral nerve. A hybrid 3D printing and robotic-embedding (i.e., pick-and-place) system was used to design and fabricate silicone nerve cuffs (800 µm diameter) containing conforming platinum (Pt) electrodes. We demonstrate that the electrical impedance of the cuff electrodes can be reduced by deposition of the conducting polymer poly(3, 4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) on cuff electrodes via a post-processing electropolymerization technique. The computer-aided design and manufacturing approach was also used to design and integrate supporting features to the cuff that mechanically stabilize the interface between the cuffABSTRACT: The ability to interface electronic materials with the peripheral nervous system is required for stimulation and monitoring of neural signals. Thus, the design and engineering of robust neural interfaces that maintain material-tissue contact in the presence of material or tissue micromotion offer the potential to conduct novel measurements and develop future therapies that require chronic interface with the peripheral nervous system. However, such remains an open challenge given the constraints of existing materials sets and manufacturing approaches for design and fabrication of neural interfaces. Here, we investigated the potential to leverage a rapid prototyping approach for the design and fabrication of nerve cuffs that contain supporting features to mechanically stabilize the interaction between cuff electrodes and peripheral nerve. A hybrid 3D printing and robotic-embedding (i.e., pick-and-place) system was used to design and fabricate silicone nerve cuffs (800 µm diameter) containing conforming platinum (Pt) electrodes. We demonstrate that the electrical impedance of the cuff electrodes can be reduced by deposition of the conducting polymer poly(3, 4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) on cuff electrodes via a post-processing electropolymerization technique. The computer-aided design and manufacturing approach was also used to design and integrate supporting features to the cuff that mechanically stabilize the interface between the cuff electrodes and the peripheral nerve. Both 'self-locking' and suture-assisted locking mechanisms are demonstrated based on the principle of making geometric alterations to the cuff opening via 3D printing. Ultimately, this work shows 3D printing offers considerable opportunity to integrate supporting features, and potentially even novel electronic materials, into nerve cuffs that can support the design and engineering of next generation neural interfaces. … (more)
- Is Part Of:
- MRS advances. Volume 3:Number 40(2018)
- Journal:
- MRS advances
- Issue:
- Volume 3:Number 40(2018)
- Issue Display:
- Volume 3, Issue 40 (2018)
- Year:
- 2018
- Volume:
- 3
- Issue:
- 40
- Issue Sort Value:
- 2018-0003-0040-0000
- Page Start:
- 2365
- Page End:
- 2372
- Publication Date:
- 2018-04-23
- Subjects:
- 3D printing, -- additive manufacturing, -- microelectronics
Electrical engineering -- Congresses
Physics -- Congresses
Materials -- Research -- Congresses
Materials science -- Congresses
620.11 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=ADV ↗
https://www.springer.com/journal/43580 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1557/adv.2018.378 ↗
- Languages:
- English
- ISSNs:
- 2059-8521
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7070.xml