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problem: You seek to engineer a data storage system for a neural signal recorder. How big of a disk will you need for recording 1 hour of data if the system has a 12-bit A/D converter, 100 electrodes, and a sampling rate of 24 kHz?
You would also like to transmit this data wirelessly to a base station for storage. How much bandwidth would you need to design into your wireless?

problem: A small rural hospital would like to purchase an electroencephalograph but cannot afford to build a shielded room in which to measure patients’ EEGs. A clinical engineer has determined that there can be common-mode noise on their patients with amplitudes as large as 100 mV. What must the minimum common mode rejection ratio (CMRR) of their electroencephalograph be so that an EEG signal of 25 mV amplitude has no more than 1% common-mode noise?

problem: Consider that you are performing a neural recording (EEG or Microelectrode) in two subjects. During your experiments with both subjects you find that your recordings are contaminated with noise. In subject 1, you determine that the noise is coming from the environment and is affecting all of the electrodes. In subject 2, you determine that the noise is coming from the muscles related to eye blinks and only affecting a subset of your electrodes.

Describe two ways that you would engineer your referencing system for minimizing the noise contamination in these two scenarios. What are the strengths and weaknesses of each approach?

Other Engineering, Engineering

  • Category:- Other Engineering
  • Reference No.:- M9293

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