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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Microwave technology
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Ultra-Low-Voltage Frequency Synthesizer and Successive-Approximation Analog-to-Digital Converter for Biomedical Applications (Paperback, 1st ed. 2022)
Loot Price: R2,609
Discovery Miles 26 090
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Ultra-Low-Voltage Frequency Synthesizer and Successive-Approximation Analog-to-Digital Converter for Biomedical Applications (Paperback, 1st ed. 2022)
Series: Analog Circuits and Signal Processing
Expected to ship within 10 - 15 working days
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This book introduces the origin of biomedical signals and the
operating principles behind them and introduces the characteristics
of common biomedical signals for subsequent signal measurement and
judgment. Since biomedical signals are captured by wearable
devices, sensor devices, or implanted devices, these devices are
all battery-powered to maintain long working time. We hope to
reduce their power consumption to extend service life, especially
for implantable devices, because battery replacement can only be
done through surgery. Therefore, we must understand how to design
low-power integrated circuits. Both implantable and in-vitro
medical signal detectors require two basic components to collect
and transmit biomedical signals: an analog-to-digital converter and
a frequency synthesizer because these measured biomedical signals
are wirelessly transmitted to the relevant receiving unit. The core
unit of wireless transmission is the frequency synthesizer, which
provides a wide frequency range and stable frequency to demonstrate
the quality and performance of the wireless transmitter. Therefore,
the basic operating principle and model of the frequency
synthesizer are introduced. We also show design examples and
measurement results of a low-power low-voltage integer-N frequency
synthesizer for biomedical applications. The detection of
biomedical signals needs to be converted into digital signals by an
analog-to-digital converter to facilitate subsequent signal
processing and recognition. Therefore, the operating principle of
the analog-to-digital converter is introduced. We also show
implementation examples and measurement results of low-power
low-voltage analog-to-digital converters for biomedical
applications.
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