An energy-efficient, high-data-rate IR-UWB transmitter with hybrid modulation for brain-computer interfaces

Master Thesis (2021)
Author(s)

Y. HUANG (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

S.M. Alavi – Mentor (TU Delft - Electronics)

Minyoung Song – Mentor (Stichting IMEC Nederland)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2021 YU HUANG
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 YU HUANG
Graduation Date
05-10-2021
Awarding Institution
Delft University of Technology
Programme
['Electrical Engineering']
Sponsors
Stichting IMEC Nederland
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

In recent years, implantable neural sensing and Brain-computer Interfaces (BCIs)
have manifested their potential in medical and clinical uses. However, their wide adoptions are impractical without reliable wireless telemetry systems for transmitting recorded neuron activities to external devices.

Files

Thesis.pdf
(pdf | 47.8 Mb)
- Embargo expired in 05-10-2023
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