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EEG Digital Concepts
practice for EEG registry
| Question | Answer |
|---|---|
| Describe an A/D Converter. | A device that converts the continuous analog EEG signal to numbers or digits. This conversion is done by sampling the epoch of EEG at pre-selected intervals and recording the polarity and amplitude of the wave at each of those points. |
| What should the input impedance be for a digital EEG instrument? | Greater than 10 mega-ohms. |
| Define aliasing. | When the ADC samples the analog signal at a rate less than twice its fastest frequency, and the analog signal is then misinterpreted as a slower frequency waveform. |
| Define the Nyquist frequency. | The Nyquist frequency is also known as the critical sampling rate. It must be at least twice the fastest frequency, if sampling is slower, aliasing can occur. |
| Describe the effects of digital filtering on a waveform. | Digital filtering causes a phase shift where the waveform appears to be advanced or delayed in time. Excessive low frequency filtering (LFF) causes a shift to the left; excessive high frequency filtering (HFF) causes a shift to the right. |
| What should the sampling rate be for a digital EEG instrument? | A minimum of 200 Hz, Preferably 250-450Hz |
| Define Sampling rate. | The number of digital points per second used to represent the analog signal. Number of points/analysis time |
| What should the common mode rejection ratio (CMRR) be for a digital EEG Instrument? | The common mode rejection ration (CMRR) should be at least 90 dB. |
| What should the analog to digital conversion specifications be for a digital EEG instrument. | Greater or equal to 16 bit ADC. The recording should be able to resolve activity down to 0.5 mV and as high as several millivolt without clipping. |