A Novel Design and Implementation of EEG Acquisition System using Android Software

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Research areas:
Year:
2014
Type of Publication:
Article
Keywords:
MSP430, EEG, Instrumentation amplifier, Band pass filter, RS232, Ethernet, Bluetooth, Zigbee, WiFi, WiMax RFID, INA128, Butterworth Filter, Android
Authors:
Pavan Kumar. E; Divyashree A
Journal:
IJAIM
Volume:
3
Number:
3
Pages:
101-106
Month:
Nov.-Dec.
ISSN:
2320- –
Abstract:
Electro-encephalogram [EEG] recording systems play the most prominent role in the Brain-Computer Interface. The brainwave signals are captured and are given as controls. There is a considerable development in transmission of these signals onto different platforms based on the requirements and portability of applications. With the advent of wireless signal transmission protocols for the medical devices, there is an increased research in the domain of offsite patient monitoring applications. This paper describes the evolution prototype of the portable EEG acquisition system developed to acquire the human scalp signals via electrodes and display them on Android Operating System after pre-conditioning the raw EEG signals. An analog circuit is developed to amplify the low amplitude brainwave scalp signals using the instrumentation amplifier and a band pass filter to eliminate the unwanted frequencies due to the surrounding noise sources. MSP430 processor is implemented to digitize the analog signals and transmit them onto the mobile using the Bluetooth module coupled to the microcontroller. An application is developed on the android platform to display the acquired signals. The prototype model is validated by acquiring EEG signal and plotted on smart phone.
Full text: IJAIM-377_final.pdf

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