An accuracy aware low power wireless EEG unit with information content based adaptive data compression.
We present a digital system for adaptive data compression for low power wireless transmission of Electroencephalography (EEG) data. The proposed system acts as a base-band processor between the EEG analog-to-digital front-end and RF transceiver. It performs a real-time accuracy energy trade-off for multi-channel EEG signal transmission by controlling the volume of transmitted data. We propose a multi-core digital signal processor for on-chip processing of EEG signals, to detect signal information of each channel and perform real-time adaptive compression. Our analysis shows that the proposed approach can provide significant savings in transmitter power with minimal impact on the overall signal accuracy.
Tolbert
Jeremy R
JR
Georgia Institute of Technology, Atlanta, GA 30332, USA. jeremy.r.tolbert@gatech.edu
Kabali
Pratik
P
Brar
Simeranjit
S
Mukhopadhyay
Saibal
S
D044962:Data Compression; D004569:Electroencephalography / Q000295:instrumentation*; D007256:Information Systems; D013686:Telemetry / Q000295:instrumentation*