Biomedical Instrumentation Questions and Answers – The Main Amplifier and Driver Stage

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This set of Basic Biomedical Instrumentation Questions and Answers focuses on “The Main Amplifier and Driver Stage”.

1. The term ___________ is used when referring to the frequency content of a signal.
a) angular momentum
b) spectrum
c) scope
d) bandwidth
View Answer

Answer: b
Explanation: The term spectrum is used when referring to the frequency content of a signal. The basic motivation for developing frequency analysis tools is to provide a mathematical and pictorial representation for the frequency components that are contained in any given signal. Most biomedical signals of practical interest can be decomposed into a sum of sinusoidal signal components.
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2. The process of obtaining the spectrum of a given signal using the basic mathematical tools is known as _______________
a) time domain analysis
b) mathematical analysis
c) spectral analysis
d) pseudo analysis
View Answer

Answer: c
Explanation: The process of obtaining the spectrum of a given signal using the basic mathematical tools is known as frequency or spectral analysis. The term spectrum is used when referring to the frequency content of a signal. Most biomedical signals of practical interest can be decomposed into a sum of sinusoidal signal components.

3. Most biomedical signals of practical interest can be decomposed into a sum of sinusoidal signal components. For the class of periodic signals, such a decomposition is called a _______ series.
a) fourier
b) discontinuous
c) continuous
d) frequency
View Answer

Answer: a
Explanation: It is called a Fourier series. The term spectrum is used when referring to the frequency content of a signal. The process of obtaining the spectrum of a given signal using the basic mathematical tools is known as a frequency or spectral analysis.
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4. Most biomedical signals of practical interest can be decomposed into a sum of sinusoidal signal components. For the class of finite energy signals, the decomposition is called the ____________
a) Fourier series
b) Fourier transform
c) Laplace transform
d) Laplace series
View Answer

Answer: b
Explanation: For the class of finite energy signals, the decomposition is called the Fourier transform. For the class of periodic signals, such decomposition is called a Fourier series. The process of obtaining the spectrum of a given signal using the basic mathematical tools is known as a frequency or spectral analysis.

5. The ratio of response to a stimulus is called the transfer function.
a) True
b) False
View Answer

Answer: a
Explanation: The ratio of response to a stimulus is called the transfer function.
H(f) = R(f)/S(f)
The process of obtaining the spectrum of a given signal using the basic mathematical tools is known as a frequency or spectral analysis.
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6. Each component in the FFT series can then be represented as A cos (wt) + iB sin (f) where ______________
a) A = The phase angle of the component
b) f = An FFT coefficient
c) t = temperature
d) w = Angular frequency of the component
View Answer

Answer: d
Explanation: w = Angular frequency of the component is the correct answer. Other all are the incorrect explanation of the variables. A = An FFT coefficient
f = The phase angle of the component and t = time.

7. Which of the following transform is best suited for spatial filtering, edge detection, feature extraction, data compression, pattern recognition, speech recognition, image compression and texture analysis?
a) wavelet transform
b) laplace transform
c) fourier transform
d) short time fourier transform
View Answer

Answer: a
Explanation: The wavelet transform has very good time resolution at high frequencies and good frequency resolution at low frequencies. In biomedical engineering, wavelet transform have been widely used in many research areas including spatial filtering, edge detection, feature extraction, data compression, pattern recognition, speech recognition, image compression and texture analysis. Wavelets are a relatively new signal processing method. A wavelet transform is almost always implemented as a bank of filters that decompose a signal into multiple signal bands. It separates and retains the signal features in one or a few of these bands.
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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter