Neural Signal Compression Using Advanced Video Compression Techniques

Prof. Vikas Gupta; Mr. Nikhil V. Raut

In the field of biomedical engineering Multichannel neural recording is one of the most important topics. This is because there is a need to considerably reduce large amounts of data without degrading the data quality for easy transfer through wireless transmission. Video compression technology is of considerable importance in the field of signal processing. There are many similarities between multichannel neural signals and video signals. So advanced video compression algorithm can be implemented to compress neural signal. In this study, we propose a signal compression method using multiwavelet transform, vector quantization that employs motion estimation/compensation to reduce the redundancy between successive neural video frames.

Select Volume / Issues:

• Volume 3 Issue 6, Nov. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Multichannel evoked neural signals; biomedical signal processing; video signal processing; multiwavelet transform; vector quantization

Journal:

IJECCE

Volume:

3

Number:

6

Pages:

1334-1337

Month:

November