What is the primary difference between signals in the continuous domain and signals in the discrete domain?
BI2010 - M1 - Signals and systems in Biomedical Engineering

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Luis Montesinos
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6 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Signals in the continuous domain are continuous in time and amplitude, while signals in the discrete domain are defined at discrete time instances.
Signals in the continuous domain have infinite resolution, while signals in the discrete domain have finite resolution.
Signals in the continuous domain cannot be processed by digital systems, while signals in the discrete domain can.
There is no difference between signals in the continuous and discrete domains.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the standard deviation of a signal measure?
The average value of the signal over time
The spread or dispersion of the signal values from the mean
The highest value attained by the signal
The rate of change of the signal with respect to time
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does electronic noise affect the quality of signals in biomedical engineering applications?
It increases the amplitude of the signal.
It decreases the frequency of the signal.
It distorts the original signal, making it difficult to extract meaningful information.
It has no impact on the signal.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the signal-to-noise ratio (SNR) represent?
The ratio of signal power to noise power in a signal
The frequency content of the signal
The phase difference between the signal and noise
The average amplitude of the signal
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of HRV analysis in biomedical applications?
To measure the heart rate at a specific moment in time.
To assess the structural abnormalities of the heart.
To evaluate the variation in time intervals between consecutive heartbeats.
To monitor blood pressure fluctuations.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a commonly used time-domain HRV index that reflects the overall variability between successive RR intervals?
Spectral entropy
Root mean square of successive differences (RMSSD)
Low frequency (LF) power
High frequency (HF) power
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