DocumentCode :
3092979
Title :
A wearable telemetric neural/EMG/ECoG activity acquisition platform for small freely moving animals
Author :
Chao Zuo ; Xiaofei Yang ; Yang Wang ; Ai-Ling Li ; Peng, Y.B. ; Chiao, J.-C.
Author_Institution :
Dept. of Electron. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2012
fDate :
4-7 Dec. 2012
Firstpage :
43
Lastpage :
45
Abstract :
The needs for in vivo wireless acquisition of bioelectric signals are emerging in various medical and research fields. Biopotentials span a wide range of amplitudes and frequencies making the system design requirement application-oriented. We have developed a versatile integrated wireless platform that can be used to record several types of bioelectrical signals such as electrocorticography (ECoG), electromyography (EMG) and neuronal spikes. This system can provide reliable communication in real time with sufficient data rates from objects to computers. The system has been successfully validated and demonstrated its functionality and performance in appropriate animal models.
Keywords :
biomedical telemetry; electrocardiography; electromyography; medical signal detection; telecommunication network reliability; wearable computers; amplitude; bioelectric signal; biopotential; electrocorticography; electromyography; freely moving animal; medical field; neuronal spikes; reliable communication; research field; system design requirement; versatile integrated wireless platform; wearable telemetric neural/EMG/ECoG activity acquisition platform; wireless acquisition; Animals; Digital filters; Electric potential; Electrodes; Electromyography; In vivo; Wireless communication; Electromyography; electrocorticography action potential; wireless signal acquisition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Conference Proceedings (APMC), 2012 Asia-Pacific
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-1330-9
Electronic_ISBN :
978-1-4577-1331-6
Type :
conf
DOI :
10.1109/APMC.2012.6421492
Filename :
6421492
Link To Document :
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