Available Technologies

On-chip signal compression is one of the key technologies driving development of energy efficient biotelemetry devices.

Michigan State University’s technology is a novel architecture, called multiple-input multiple-output (MIMO), for analog-to-digital conversion that combines sigma delta conversion with the spatial data compression in a single module. The method includes receiving an input vector which represents a plurality of analog signals, transforming the input vector using a linear transformation matrix, converting the transformed input vector to a digital stream using an array of sigma-delta converter, and adapting the linear transform matrix to maximize de-correlation between the signals represented in the input vector. Experimental results with simulated and recorded multiple-channel data demonstrate the effectiveness of the proposed architecture to eliminate cross-channel redundancy in high density microelectrode data, thus superceding the performance of parallel independent data converters in terms of its energy efficiency.

Benefits

·         Eliminates cross-channel redundancy in high density microelectrode data

·         Better energy efficiency than parallel independent data converters

Applications

The invention is useful as a component of on-chip signal compression to be used in neuroprosthetic devices, such as cochlear implants, and brain-machine interfaces.

IP Protection Status

U.S. patent 7,479,911