Title :
Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm
Author :
Goh, Aik ; Craciun, Stefan ; Rao, Sudhir ; Cheney, David ; Gugel, Karl ; Sanchez, Justin C. ; Principe, Jose C.
Author_Institution :
Department of Electrical and Computer Engineering at the University of Florida, Gainesville, 32611 USA
Abstract :
A design challenge of portable wireless neural recording systems is the tradeoff between bandwidth and power consumption. This paper investigates the compression of neuronal recordings in real-time using a novel discriminating Linde-Buzo-Gray algorithm (DLBG) that preserves spike shapes while filtering background noise. The technique is implemented in a low power digital signal processor (DSP) which is capable of wirelessly transmitting raw neuronal recordings. Depending on the signal to noise ratio of the recording, the compression ratio can be tailored to the data to maximally preserve power and bandwidth. The approach was tested in real and synthetic data and achieved compression ratios between 184:1 and 10:1.
Keywords :
Background noise; Bandwidth; Compression algorithms; Digital signal processing; Digital signal processors; Disk recording; Energy consumption; Filtering algorithms; Shape; Signal processing algorithms; Algorithms; Automatic Data Processing; Computer Communication Networks; Computer Simulation; Equipment Design; Humans; Models, Neurological; Models, Theoretical; Neurons; Signal Processing, Computer-Assisted; Telemetry; Time Factors; Transducers;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650196