The BrainMaster Discovery 20 channel biofeedback device introduces a new price and value point into the world of EEG and QEEG. It is quite simply the most affordable and versatile whole-head EEG, with high-quality clinical grade EEG acquisition and a large range of available software and features. Like its big brother, the Discovery 24E, it provides 24-bit conversion with an internal sampling rate of 1024 samples/second and 256 sps data rate to the PC, providing 20 high-resolution and aliasing-free signals.
It has a bandwidth of 0.000 to 60 Hz, providing accurate recording of EEG from DC offset up to gamma and above. It operates with the full range of BrainMaster 4.0 software, including the BrainAvatar package, as well as compatibility with industry-standard packages such as BrainDX, NewMind, WinEEG, SKIL, EEGLab, NeuroGuide and others. Discovery 20 recordings can be used in virtually all types of analysis, and provide noise-free signals suitable for mapping, Z-Scores, live Z-Score training, and live sLORETA imaging and Z-Scores. With true DC capability, it excels for use in slow-cortical potential (SCP), or Infra-Low Frequency (ILF) or Infra-Slow Fluctuation (ISF) research and clinical practice. The optional impedance-sensing lid is also available, as are optional outputs for photic, auditory, or magnetic stimulation, and an optional event button input.
- BrainMaster Technologies, Inc. is proud to introduce BrainAvatar™*, the next generation of EEG and neurofeedback software, available for our Discovery EEG system. It provides a new standard of excellence, and as with our previous offerings, will become the new standard for comparison for the future of the field. It combines all existing BrainMaster capabilities with new features incorporating quantitative EEG(QEEG), peripheral modalities, and integrating assessment with training in a seamless system. BrainAvatar™* Discovery Acquisition Module provides up to 24 channels of EEG or peripheral data, plus the ability to review, edit, and mark records, with montage reformatting, including Laplacian, average, or infinite references.