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Neurology & Physiology » Mega NeuroOneSystem

Mega NeuroOne System

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Main unit
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Head Box
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NeurOne technology is based on over 20 years experience of Mega Electronics Ltd in developing high precision signal acquisition technology for detecting sensitive signals of human performance in noisy laboratory environments and in varying field conditions. This innovative monitoring solution is developed to suit medical professionals´ and scientists' needs to detect high accuracy neurological signals from multiple channels without compromising data integrity.

NeurOne technology challenges traditional neurological laboratory systems with multichannel monitoring capability, high-speed sampling up to 100,000 Hz per channel and precision amplifier technology utilizing the latest advances in digital signal processing. NeurOne system is especially designed for use together with transcranial magnetic stimulators having special reduction technology to remove magnetic artefacts in short latencies. Advanced headbox design enables both AC and DC signals separately or simultaneously.
NeurOne features
  • High speed sampling (50000 Hz / 100000 Hz)
  • Latest digital signal processing (24-bits)
  • AC and DC signals (configurable for each channel)
  • EMG, EEG, NCV and EP protocols
  • Advanced magnetic artifact reduction
  • Flexible software with complete 3D anatomy model
  • Extensive connectability and upgradeability
NeurOne software
The NeurOne system equipped with user-friendly NeurOne PC software presents wide options for accurate real-time monitoring. NeurOne PC Software provides tools for flexible signal monitoring and versatile data collection with user defined protocols. Complete 3D anatomy of muscles and nerves presents new possibilities in visualizing measurement setups for research and educational purposes. Advanced signal and video monitoring options allow professionals to create complex measurement scenarios with ease and accuracy.
NeurOne PC software includes data export to several formats (ASCII, EDF+, AVI, WAV) for extensive possibilities in further data analysis.
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