@inproceedings{fa7c3526808a4497957ecff3638377f9,
title = "Wireless Carbon-based Electrochemical Dopamine Sensor Brain Implant",
abstract = "The role of front-end electrode sensors for dopamine-detection brain implants is significant for the entire measurement process. The electrode material determines the sensitivity, selectivity, and longevity of the implant. Carbon-based electrode induces better dopamine adsorption due to π-interaction. We tested carbon fiber microelectrode (CFME) on a set of dopamine solution concentrations (1 mM to 0.01 mM) to determine its limit of detection and its reliability for quantitative analysis. The raw signal is processed using Σ-converter and the concentration is estimated using a linear regression technique. The wireless feature is incorporated with a triple-band antenna at frequencies of 402, 902, and 2450 MHz for data communications, wireless power transmission, and switching control.",
keywords = "brain implant, CFME, cyclic voltammetry, Dopamine sensing, electrodes, implantable antenna, RFID",
author = "Stefanus Wirdatmadja and Wiljami Ventil{\"a} and Janne Vesanen and Toni Bj{\"o}rninen and Riikka Lahtinen and Lauri Syd{\"a}nheimo and Merja Voutilainen and Leena Ukkonen",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; International Conference on RFID Technology and Applications ; Conference date: 04-09-2023 Through 06-09-2023",
year = "2023",
doi = "10.1109/RFID-TA58140.2023.10290479",
language = "English",
series = "IEEE International Conference on RFID Technology and Applications",
publisher = "IEEE",
pages = "115--118",
booktitle = "2023 IEEE 13th International Conference on RFID Technology and Applications, RFID-TA 2023 - Proceedings",
}