Title :
Wireless bi-directional data link for an EEG recording system using STM32
Author :
Vaithianathan, Tamilkavitha ; Haiyan Zhou ; Hauer, Johann
Author_Institution :
Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany
Abstract :
A wireless bi-directional data link for an electroencephalogram (EEG) recording system is presented in this paper. The system is mainly composed of a prototype model of an implant and a data recorder. Both the implant and the data recorder use STM32 microcontrollers with an inbuilt radio frequency (RF) transceiver to establish a wireless link between them. The main component of the implant is a mixed-signal EEG acquisition ASIC with 8 channels. The STM32 and the ASIC of the implant module communicate via two SPI interfaces. Optimized software codes for the STM32 microcontrollers have been written to ensure a reliable wireless communication between the implant and the data recorder. A PC is connected to the data recorder which enables the communication by sending the configuration data to the implant. The data received by the data recorder is stored in a PC. The amount of input referred noise of the ASIC present in the output is estimated with the help of MATLAB.
Keywords :
application specific integrated circuits; biomedical electronics; biomedical telemetry; body sensor networks; data acquisition; data recording; electroencephalography; electronic data interchange; information storage; mathematics computing; medical control systems; medical signal processing; microcontrollers; noise; prosthetics; prototypes; telemedicine; transceivers; EEG recording system; MATLAB; PC connection; RF transceiver; SPI interfaces; STM32 microcontrollers; configuration data transfer; data recorder; data storage; electroencephalogram recording system; implant module; inbuilt radio frequency transceiver; input referred noise; mixed-signal EEG acquisition ASIC channels; prototype; software code optimization; wireless bidirectional data link; wireless communication; Application specific integrated circuits; Electroencephalography; Implants; Microcontrollers; Prototypes; Radio frequency; Wireless communication; ASIC; EEG; RF; STM32; Wireless implant;
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
DOI :
10.1109/MeMeA.2014.6860095
