- •Analysis and Application of Analog Electronic Circuits to Biomedical Instrumentation
- •Dedication
- •Preface
- •Reader Background
- •Rationale
- •Description of the Chapters
- •Features
- •The Author
- •Table of Contents
- •1.1 Introduction
- •1.2 Sources of Endogenous Bioelectric Signals
- •1.3 Nerve Action Potentials
- •1.4 Muscle Action Potentials
- •1.4.1 Introduction
- •1.4.2 The Origin of EMGs
- •1.5 The Electrocardiogram
- •1.5.1 Introduction
- •1.6 Other Biopotentials
- •1.6.1 Introduction
- •1.6.2 EEGs
- •1.6.3 Other Body Surface Potentials
- •1.7 Discussion
- •1.8 Electrical Properties of Bioelectrodes
- •1.9 Exogenous Bioelectric Signals
- •1.10 Chapter Summary
- •2.1 Introduction
- •2.2.1 Introduction
- •2.2.4 Schottky Diodes
- •2.3.1 Introduction
- •2.4.1 Introduction
- •2.5.1 Introduction
- •2.5.5 Broadbanding Strategies
- •2.6 Photons, Photodiodes, Photoconductors, LEDs, and Laser Diodes
- •2.6.1 Introduction
- •2.6.2 PIN Photodiodes
- •2.6.3 Avalanche Photodiodes
- •2.6.4 Signal Conditioning Circuits for Photodiodes
- •2.6.5 Photoconductors
- •2.6.6 LEDs
- •2.6.7 Laser Diodes
- •2.7 Chapter Summary
- •Home Problems
- •3.1 Introduction
- •3.2 DA Circuit Architecture
- •3.4 CM and DM Gain of Simple DA Stages at High Frequencies
- •3.4.1 Introduction
- •3.5 Input Resistance of Simple Transistor DAs
- •3.7 How Op Amps Can Be Used To Make DAs for Medical Applications
- •3.7.1 Introduction
- •3.8 Chapter Summary
- •Home Problems
- •4.1 Introduction
- •4.3 Some Effects of Negative Voltage Feedback
- •4.3.1 Reduction of Output Resistance
- •4.3.2 Reduction of Total Harmonic Distortion
- •4.3.4 Decrease in Gain Sensitivity
- •4.4 Effects of Negative Current Feedback
- •4.5 Positive Voltage Feedback
- •4.5.1 Introduction
- •4.6 Chapter Summary
- •Home Problems
- •5.1 Introduction
- •5.2.1 Introduction
- •5.2.2 Bode Plots
- •5.5.1 Introduction
- •5.5.3 The Wien Bridge Oscillator
- •5.6 Chapter Summary
- •Home Problems
- •6.1 Ideal Op Amps
- •6.1.1 Introduction
- •6.1.2 Properties of Ideal OP Amps
- •6.1.3 Some Examples of OP Amp Circuits Analyzed Using IOAs
- •6.2 Practical Op Amps
- •6.2.1 Introduction
- •6.2.2 Functional Categories of Real Op Amps
- •6.3.1 The GBWP of an Inverting Summer
- •6.4.3 Limitations of CFOAs
- •6.5 Voltage Comparators
- •6.5.1 Introduction
- •6.5.2. Applications of Voltage Comparators
- •6.5.3 Discussion
- •6.6 Some Applications of Op Amps in Biomedicine
- •6.6.1 Introduction
- •6.6.2 Analog Integrators and Differentiators
- •6.7 Chapter Summary
- •Home Problems
- •7.1 Introduction
- •7.2 Types of Analog Active Filters
- •7.2.1 Introduction
- •7.2.3 Biquad Active Filters
- •7.2.4 Generalized Impedance Converter AFs
- •7.3 Electronically Tunable AFs
- •7.3.1 Introduction
- •7.3.3 Use of Digitally Controlled Potentiometers To Tune a Sallen and Key LPF
- •7.5 Chapter Summary
- •7.5.1 Active Filters
- •7.5.2 Choice of AF Components
- •Home Problems
- •8.1 Introduction
- •8.2 Instrumentation Amps
- •8.3 Medical Isolation Amps
- •8.3.1 Introduction
- •8.3.3 A Prototype Magnetic IsoA
- •8.4.1 Introduction
- •8.6 Chapter Summary
- •9.1 Introduction
- •9.2 Descriptors of Random Noise in Biomedical Measurement Systems
- •9.2.1 Introduction
- •9.2.2 The Probability Density Function
- •9.2.3 The Power Density Spectrum
- •9.2.4 Sources of Random Noise in Signal Conditioning Systems
- •9.2.4.1 Noise from Resistors
- •9.2.4.3 Noise in JFETs
- •9.2.4.4 Noise in BJTs
- •9.3 Propagation of Noise through LTI Filters
- •9.4.2 Spot Noise Factor and Figure
- •9.5.1 Introduction
- •9.6.1 Introduction
- •9.7 Effect of Feedback on Noise
- •9.7.1 Introduction
- •9.8.1 Introduction
- •9.8.2 Calculation of the Minimum Resolvable AC Input Voltage to a Noisy Op Amp
- •9.8.5.1 Introduction
- •9.8.5.2 Bridge Sensitivity Calculations
- •9.8.7.1 Introduction
- •9.8.7.2 Analysis of SNR Improvement by Averaging
- •9.8.7.3 Discussion
- •9.10.1 Introduction
- •9.11 Chapter Summary
- •Home Problems
- •10.1 Introduction
- •10.2 Aliasing and the Sampling Theorem
- •10.2.1 Introduction
- •10.2.2 The Sampling Theorem
- •10.3 Digital-to-Analog Converters (DACs)
- •10.3.1 Introduction
- •10.3.2 DAC Designs
- •10.3.3 Static and Dynamic Characteristics of DACs
- •10.4 Hold Circuits
- •10.5 Analog-to-Digital Converters (ADCs)
- •10.5.1 Introduction
- •10.5.2 The Tracking (Servo) ADC
- •10.5.3 The Successive Approximation ADC
- •10.5.4 Integrating Converters
- •10.5.5 Flash Converters
- •10.6 Quantization Noise
- •10.7 Chapter Summary
- •Home Problems
- •11.1 Introduction
- •11.2 Modulation of a Sinusoidal Carrier Viewed in the Frequency Domain
- •11.3 Implementation of AM
- •11.3.1 Introduction
- •11.3.2 Some Amplitude Modulation Circuits
- •11.4 Generation of Phase and Frequency Modulation
- •11.4.1 Introduction
- •11.4.3 Integral Pulse Frequency Modulation as a Means of Frequency Modulation
- •11.5 Demodulation of Modulated Sinusoidal Carriers
- •11.5.1 Introduction
- •11.5.2 Detection of AM
- •11.5.3 Detection of FM Signals
- •11.5.4 Demodulation of DSBSCM Signals
- •11.6 Modulation and Demodulation of Digital Carriers
- •11.6.1 Introduction
- •11.6.2 Delta Modulation
- •11.7 Chapter Summary
- •Home Problems
- •12.1 Introduction
- •12.2.1 Introduction
- •12.2.2 The Analog Multiplier/LPF PSR
- •12.2.3 The Switched Op Amp PSR
- •12.2.4 The Chopper PSR
- •12.2.5 The Balanced Diode Bridge PSR
- •12.3 Phase Detectors
- •12.3.1 Introduction
- •12.3.2 The Analog Multiplier Phase Detector
- •12.3.3 Digital Phase Detectors
- •12.4 Voltage and Current-Controlled Oscillators
- •12.4.1 Introduction
- •12.4.2 An Analog VCO
- •12.4.3 Switched Integrating Capacitor VCOs
- •12.4.6 Summary
- •12.5 Phase-Locked Loops
- •12.5.1 Introduction
- •12.5.2 PLL Components
- •12.5.3 PLL Applications in Biomedicine
- •12.5.4 Discussion
- •12.6 True RMS Converters
- •12.6.1 Introduction
- •12.6.2 True RMS Circuits
- •12.7 IC Thermometers
- •12.7.1 Introduction
- •12.7.2 IC Temperature Transducers
- •12.8 Instrumentation Systems
- •12.8.1 Introduction
- •12.8.5 Respiratory Acoustic Impedance Measurement System
- •12.9 Chapter Summary
- •References
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Analysis and Application of Analog Electronic Circuits |
second array. The squared samples are then numerically low-pass filtered to estimate their mean. The numerical square root of the mean squared value is taken and stored for the kth epoch. The process is repeated until M epochs have been processed; then the average of M estimates of the RMS signal is finally calculated. The only components required are the anti-aliasing LPF, an ADC, some interface chips, and, of course, a PC.
12.7 IC Thermometers
12.7.1Introduction
Temperature measurement is very important in medicine and biology. Many means have been devised to measure temperature, based on the fact that many physical phenomena vary with temperature, including, but not limited to: physical volume expansion (mercury and alcohol thermometers); resistance; EMF generated by the Seebeck (thermoelectric) effect; change in pemittivity of materials; change in reverse current through a pn junction; etc.
Many electronic means have been devised to circumvent use of the slow (and toxic) mercury thermometer. The fact that the resistance of metals increases with temperature has been the basis of one important class of electronic thermometer. The platinum resistance temperature detector (RTD) is widely used in scientific applications (Northrop, 1997). Its resistance is modeled by the truncated power series:
R(T) = Ro[1+ 3.908 ∞ 10−3 T − 5.8 ∞ 10−7 T2 ] |
(12.76) |
where Ro is the Pt RTD’s resistance at 0∞C and T is the RTD’s temperature in degrees Celsius.
RTD resistance changes are sensed by using a Wheatstone bridge and suitable electronic amplification. Often a look-up table is used to correct for slight nonlinearity in the platinum RTD’s resistance vs. T characteristic. The look-up table can be in the form of an ROM in which correction values are stored. Other metals (Ni, W, Cu, Si) can be used for RTD design, but Pt is the one most widely encountered because its R(T) is fairly linear compared to other metals and it can be used at elevated (industrial) temperatures.
Thermistors are also used with Wheatstone bridges to sense temperature. Thermistors are amorphous semiconductor resistors; they are very nonlinear, but have much greater thermal sensitivity compared to metal RTDs. The resistance of a negative temperature coefficient (NTC) thermistor is modeled by the relation (Northrop, 1997):
R(T) = Ro exp[β(1 T − 1 To )] |
(12.77) |
© 2004 by CRC Press LLC
Examples of Special Analog Circuits and Systems |
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If the temperature coefficient of a resistor is defined by:
α ∫ |
dR(T) dT |
(12.78) |
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then the NTC thermistor’s tempco is:
α = −β T2 |
(12.79) |
Beta is typically 4000 K and, for T= 300 K, α = −0.044. By contrast, the α tempco of Pt is +0.00392. It should be remarked that there are also PTC thermistors. The author has used NTC thermistors to measure Ts on the order of 0.0001∞C in in-vitro chemical assays of blood glucose using the enzyme glucose oxidase.
Other electrical/electronic means of temperature measurement use the minute DC voltages generated by thermocouples and thermocouple arrays called thermopiles used for photonic radiation power measurements. The interested reader should consult texts by Northrop (1997), Lion (1959), and Pallàs–Areny and Webster (2001) for further details on thermocouples and thermopiles.
Still other temperature measurement devices have been invented that measure the long-wave infrared (LIR) blackbody radiation from the eardrum. This class of fever thermometer is characterized by a fast response time (seconds), a minimally invasive implementation (inserted in the ear canal), and reasonable expense. The primary sensor is a thermopile or a pyroelectric material (PYM) such as triglicine sulfate or barium titanate. Further details on the Thermoscan‘ thermometers can be found in Northrop (2002).
12.7.2IC Temperature Transducers
Figure 12.35 illustrates a simplified schematic of the Analog Devices’ AD590 temperature-controlled current source (TCCS). AD also makes the AD592 precision TCCS, which uses basically the same circuit. These ICs behave as two-terminal, 1-μA K current sources for supply voltages between +4 ≤ Vcc ≤ +30 V. Analog Devices (1994) gives the following circuit description for the AD590:
The AD590 uses a fundamental property of the silicon transistors from which it is made to realize its temperature proportional characteristic: if two identical transistors are operated at a constant ratio of collector current densities, r, then the difference in their base-emitter voltages will be (kT/q)ln(r). Since both k, Boltzmann’s constant, and q, the charge of an electron, are constant, the resulting voltage is directly proportional to absolute temperature (PTAT). In the AD590, this PTAT voltage is converted to a PTAT current by low temperature coefficient thin film resistors.
© 2004 by CRC Press LLC
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Analysis and Application of Analog Electronic Circuits |
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FIGURE 12.35
Simplified schematic of Analog Devices’ AD590 analog temperature-controlled current source (TCCS) temperature sensor.
The total current of the device is then forced to be a multiple of this PTAT current. Referring to Figure [12.35], the schematic diagram of the AD590, Q8 and Q11 are the transistors that produce the PTAT voltage. R5 and R6 convert the voltage to current. Q10, whose collector current tracks the collector currents in Q9 and Q11, supplies all the bias and substrate leakage current for the rest of the circuit, forcing the total current to be PTAT. R5 and R6 are laser trimmed on the wafer to calibrate the device at +25∞C.
The AD590 temperature-to-current transducer can operate over a −55 to +150∞C range; the AD592 operates over a −25 to +105∞C range. There are many applications for these electronic TCCSs. Figure 12.36 illustrates a simple op amp circuit that converts 1 μA K to 100 mV/∞C. A chopper-stabilized op amp (CHSOA) is used for low dc drift tempco. The trim pots are used to
© 2004 by CRC Press LLC