Wireless recording systems: from noninvasive EEG-NIRS to invasive EEG devices

IEEE Trans Biomed Circuits Syst. 2013 Apr;7(2):186-95. doi: 10.1109/TBCAS.2013.2255595.

Abstract

In this paper, we present the design and implementation of a wireless wearable electronic system dedicated to remote data recording for brain monitoring. The reported wireless recording system is used for a) simultaneous near-infrared spectrometry (NIRS) and scalp electro-encephalography (EEG) for noninvasive monitoring and b) intracerebral EEG (icEEG) for invasive monitoring. Bluetooth and dual radio links were introduced for these recordings. The Bluetooth-based device was embedded in a noninvasive multichannel EEG-NIRS system for easy portability and long-term monitoring. On the other hand, the 32-channel implantable recording device offers 24-bit resolution, tunable features, and a sampling frequency up to 2 kHz per channel. The analog front-end preamplifier presents low input-referred noise of 5 μ VRMS and a signal-to-noise ratio of 112 dB. The communication link is implemented using a dual-band radio frequency transceiver offering a half-duplex 800 kb/s data rate, 16.5 mW power consumption and less than 10(-10) post-correction Bit-Error Rate (BER). The designed system can be accessed and controlled by a computer with a user-friendly graphical interface. The proposed wireless implantable recording device was tested in vitro using real icEEG signals from two patients with refractory epilepsy. The wirelessly recorded signals were compared to the original signals recorded using wired-connection, and measured normalized root-mean square deviation was under 2%.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Amplifiers, Electronic
  • Brain / pathology*
  • Computer Graphics
  • Electrodes, Implanted*
  • Electroencephalography / instrumentation*
  • Epilepsy / therapy
  • Equipment Design
  • Humans
  • Male
  • Radio Waves
  • Reproducibility of Results
  • Signal Processing, Computer-Assisted
  • Signal-To-Noise Ratio
  • Software
  • Spectroscopy, Near-Infrared / instrumentation*
  • User-Computer Interface
  • Wireless Technology*