Dabbaghian, Yousefi, Fatmi, Shafia, Kassiri (2019) A 9.2-gram Fully-Flexible Wireless Ambulatory EEG Monitoring and Diagnostics Headband with Analog Motion Artifact Detection and Compensation IEEE transactions on biomedical circuits and systems ()

Abstract

An 8-channel wearable wireless device for ambulatory surface EEG monitoring and analysis is presented. The entire multi-channel recording, quantization, and motion artifact removal circuitries are implemented on a 4-layer polyimide flexible substrate. The recording electrodes and active shielding are also integrated on the same substrate, yielding the smallest form factor compared to the state of the art. Thanks to the dry non-contact electrodes, the system is quickly mountable with minimal assistance required, making it an ideal ambulatory front and temporal-lobe EEG monitoring device. The flexible main board is connected to a rechargeable battery on one end and to a [Formula: see text] rigid board on the other end. The mini rigid board hosts a low-power programmable FPGA and a BLE 5.0 transceiver, which add diagnostic capability and wireless connectivity features to the device, respectively. Design considerations for a wearable EEG monitoring and diagnostic device are discussed in details. The theory of the novel fully-analog method for motion artifact detection and removal is described and the detailed circuit implementation is presented. The device performance in terms of voltage gain (260 V/V), bandwidth (DC-300 Hz), motion artifact removal, and wireless communication throughput (up to 1Mbps) is experimentally validated. The entire wearable solution with the battery weighs 9.2 grams.

Links

http://www.ncbi.nlm.nih.gov/pubmed/31443050
http://dx.doi.org/10.1109/TBCAS.2019.2936327

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