Signal Processing

Signal Processing

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This chapter deals with two separate aspects of biomechatronic signal acquisition and processing. The first is concerned with signals obtained directly from the organism, including electrical, chemical, and pressure. The second is concerned with the remaining signals generated as part of a biomechatronic process-including tactile signals from a prosthetic hand, outputs of potentiometers, and rate gyros-that are used for control or feedback.

Chapter Contents:

  • 5.1 Introduction
  • 5.2 Biomedical Signals
  • 5.2.1 Bioelectric Signals
  • 5.2.2 Signals Characterized by Source
  • 5.2.3 Signals Characterized by Type
  • 5.3 Signal Acquisition
  • 5.3.1 Noise
  • 5.3.2 Amplifiers
  • 5.3.3 Practical Considerations
  • 5.3.4 Op Amp Specifications
  • 5.4 Analog Signal Processing
  • 5.4.1 Frequency Content of a Signal
  • 5.4.2 Analog Filters
  • 5.4.3 Other Analog Circuits
  • 5.5 Digital Signal Processing
  • 5.5.1 The Comparator
  • 5.5.2 Signal Acquisition and Processing Overview
  • 5.5.3 ADCs and DACs
  • 5.5.4 Signal Aliasing
  • 5.5.5 Digital Filters
  • 5.5.6 Filter Time-Domain Response
  • 5.5.7 Envelope Detection
  • 5.5.8 Spectral Estimation
  • 5.6 Statistical Techniques and Machine Learning
  • 5.6.1 Statistical Techniques
  • 5.6.2 Data Mining
  • 5.6.3 Machine Learning
  • 5.7 Isolation Barriers
  • 5.7.1 Implant Systems
  • 5.7.2 Isolation Amplifiers
  • 5.8 References

Inspec keywords: medical signal processing; mechatronics; prosthetics; biomechanics; potentiometers; bioelectric potentials; biochemistry

Other keywords: chemical signals; biomechatronic signal acquisition; prosthetic hand; electrical signals; tactile signals; organism; biomechatronic signal processing; potentiometers; pressure signals; rate gyros

Subjects: Biology and medical computing; Electrical activity in neurophysiological processes; Electrodiagnostics and other electrical measurement techniques; Signal processing and detection; Biomechanics, biorheology, biological fluid dynamics; Physical chemistry of biomolecular solutions and condensed states; Bioelectric signals; Digital signal processing

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