DocumentCode :
718220
Title :
A reconfigurable general behavior data acquisition system for motor brain machine interface
Author :
Lichao Wang ; Guanghao Sun ; Zhaozhong Gui ; Yiwen Wang ; Shaomin Zhang ; Xiaoxiang Zheng
Author_Institution :
Coll. of Biomed. Eng. & Instrum. Sci., Zhejiang Univ., Hangzhou, China
fYear :
2015
fDate :
22-24 April 2015
Firstpage :
134
Lastpage :
137
Abstract :
In motor brain machine interface (BMI) research, it is necessary to collect behavior data and neural signals of subjects for neural decoding. However, most behavior data acquisition systems are customized for specific experiments because of variety of experiment goals. It is difficult for researchers to reconfigure their existing system for a new experiment environment, whenever they need to design a new behavioral experiment. In this paper, a reconfigurable general behavior data acquisition system was developed. It can provide integral structure and rich interfaces. The system consists of a microcontroller, three types of behavior data input interfaces, three types of system output interfaces and a communication module. It can acquire, digitize, process behavior data and send them to personal computer or smartphone. To evaluate the facility of this system,two typical behavioral experiments used in BMI studies were carried out. In these experiments, monkeys were trained to perform track, center-out, reach and grasp tasks. By reconfiguring the system with some external devices, not only all kinds of cues and triggers could be generated successfully, but also event information and behavior data of the upper limb movements were recorded in real time. The results show that researchers can easily connect this system with various types of input and output devices and reconfigure system settings according to their specific research purposes. The system can also provide a useful tool for those end users without strong engineering background to quickly set up their experiment environment.
Keywords :
brain-computer interfaces; data acquisition; medical signal processing; microcomputers; microcontrollers; neurophysiology; smart phones; BMI; communication module; data acquisition system; data input interfaces; microcontroller; motor brain machine interface; neural decoding; neural signals; personal computer; process behavior data; reconfigurable general behavior; reconfigure system settings; smartphone; specific research purposes; upper limb movements; Data acquisition; Light emitting diodes; Microcontrollers; Real-time systems; Synchronization; Tracking; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location :
Montpellier
Type :
conf
DOI :
10.1109/NER.2015.7146578
Filename :
7146578
Link To Document :
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