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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

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
Applicant(s): TECHNISCHE UNIVERSITEIT DELFT

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
Applicant(s): TECHNISCHE UNIVERSITEIT DELFT