Asynchronous Time-domain Neural Recording Interfaces

Project Information

ATiNaRI

Grant agreement ID: 752819

DOI 10.3030/752819

Project closed

EC signature date 13 March 2017

Start date 18 September 2017

End date 4 December 2019

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 151 798,90

EU contribution € 151 798,90

Coordinated by

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

Publications

Conference proceedings (5)

11nW Signal Acquisition Platform for Remote Biosensing

Author(s): Alberto Gancedo, Omer Can Akgun, Wouter A. Serdijn
Published in: 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019, Page(s) 1-4, ISBN 978-1-5090-0617-5
Publisher: IEEE
DOI: 10.1109/biocas.2019.8919128

An Asynchronous Pipelined Time-to-Digital Converter Using Time-Domain Subtraction

Author(s): Omer Can Akgun
Published in: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, Page(s) 1-5, ISBN 978-1-5386-4881-0
Publisher: IEEE
DOI: 10.1109/iscas.2018.8351554

A Chip Integrity Monitor for Evaluating Long-term Encapsulation Performance Within Active Flexible Implants

Author(s): Omer Can Akgun, Kambiz Nanbakhsh, Vasiliki Giagka, Wouter A. Serdijn
Published in: 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019, Page(s) 1-4, ISBN 978-1-5090-0617-5
Publisher: IEEE
DOI: 10.1109/biocas.2019.8919203

An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques

Author(s): Omer Can Akgun, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti, Wouter A. Serdijn
Published in: 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019, Page(s) 1-5, ISBN 978-1-7281-0397-6
Publisher: IEEE
DOI: 10.1109/iscas.2019.8702667

Energy efficient sampling and conversion of bio-signals using time-mode circuits

Author(s): O.C. Akgun, W.A. Serdijn
Published in: 7th Dutch Bio-Medical Engineering Conference, 2019
Publisher: Dutch Biomedical Society

Peer reviewed articles (1)

An energy efficient time-mode digit classification neural network implementation

Author(s): O. C. Akgun, J. Mei
Published in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Issue 378/2164, 2019, Page(s) 20190163, ISSN 1364-503X
Publisher: Royal Society of London
DOI: 10.1098/rsta.2019.0163

Intellectual Property Rights

Other (2)

A low-power system, transmitter, receiver for signal acquisition and transmission.

Application/Publication number: NL N2024016
Date: 2019-10-14

A system, a sensor, a manufacturing method and a bio-implantable chip for measuring electrical resistance for integrity monitoring of bioimplantable chips.

Application/Publication number: NL N2023915
Date: 2019-09-27