@inproceedings{29fd9f3a322344218ab52c743efd0319,
title = "Development of Electroencephalogram (EEG) Based on ADS1299EEGFE-PDK and LaunchPad MSP432P401R",
abstract = "An Electroencephalogram (EEG) is a device to obtain electrical activities of the brain, which is used to detect and analyze epilepsy, seizure, sleep analysis, and other brain defects. This paper presents the design of a 32-channels electroencephalogram signal acquisition system uses 4 modules of the ADS1299EEGFE-PDK configured with SPI cascade mode and controlled by a LaunchPad MSP432P401R. The system was developed using C Energia version 1.6.10E18 and sampled to 24 bits up to 250 SPS. The acquired signals were displayed and saved in time-domain and frequency-domain using LabVIEW. These signals were tested to the NETECH MiniSIM EEG Simulator 330. This work is part of EEG research for stroke rehabilitation.",
keywords = "ADS1299EEGFE-PDK, EEG, MSP432P401R, aquisition, microcontroller",
author = "Wahyu Apriadi and Wijaya, {Sastra Kusuma} and Prawito and {Husein Zilullah}, {La Ode}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017 ; Conference date: 06-11-2017 Through 07-11-2017",
year = "2018",
month = nov,
day = "15",
doi = "10.1109/ICICI-BME.2017.8537740",
language = "English",
series = "Proceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "241--245",
booktitle = "Proceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017",
address = "United States",
}