You are previewing Applications, Challenges, and Advancements in Electromyography Signal Processing.
O'Reilly logo
Applications, Challenges, and Advancements in Electromyography Signal Processing

Book Description

Electromyography (EMG) is a procedure for assessing and recording the electrical activity produced by skeletal muscles. Since the contracting skeletal muscles are greatly responsible for loading the bones and joints, information about the muscle EMG is important to gain knowledge about muscular-skeletal biomechanics. Applications, Challenges, and Advancements in Electromyography Signal Processing provides an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. Presenting new results, concepts, and further developments in the field of EMG signal processing, this publication is an ideal resource for graduate and post-graduate students, academicians, engineers, and scientists in the fields of signal processing and biomedical engineering.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. List of Reviewers
  6. Preface
    1. BACKGROUND AND MOTIVATION
    2. INTENDED READERSHIP
    3. THE ORGANISATION OF CHAPTERS
  7. Section 1: EMG Basics and Motor Unit Action Potentials
    1. Chapter 1: Neural Control of Muscle
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. STUDIES ON MOTOR UNITS
      5. DISCUSSION
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTES
    2. Chapter 2: New Advances in Single Fiber Electromyography
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PHYSIOLOGICAL BASIS OF THE FORMATION OF THE INTRACELLULAR ACTION POTENTIAL (IAP)
      4. 3. GENERATION OF THE SINGLE FIBRE ACTION POTENTIAL (SFAP)
      5. 4. THE FORWARD PROBLEM: INFLUENCE OF THE EXCITATION AND SYSTEM PARAMETERS ON SFAP CHARACTERISTICS
      6. 5. THE INVERSE PROBLEM: USING THE SFAP CHARACTERISTICS TO OBTAIN INFORMATION ABOUT THE IAP
      7. 6. CHARACTERISTICS OF HUMAN SFAP
      8. 7. CHARACTERISTICS OF SINGLE-FIBRE ELECTRODES
      9. 8. EFFECTS OF FILTER SETTINGS ON SFAP RECORDINGS
      10. 9. JITTER ESTIMATION
      11. 10. FUTURE RESEARCH DIRECTIONS
      12. 11. CONCLUSION
      13. REFERENCES
      14. ADDITIONAL READING
      15. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Detection and Conditioning of EMG
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ELECTRODES
      5. GENERAL PRINCIPLES OF INSTRUMENTATION IN ELECTROMYOGRAPHY
      6. EMG SIGNALS IN CLINICAL STUDIES
      7. ELECTROMYOGRAPHY (EMG) TECHNIQUES
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. ACKNOWLEDGMENT
      11. REFERENCES
      12. ADDITIONAL READING
      13. KEY TERMS AND DEFINITIONS
      14. ENDNOTES
    4. Chapter 4: An Introduction to EMG Signal Processing Using MatLab and Microsoft Excel
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCLUSION
      4. REFERENCES
      5. ADDITIONAL READING
      6. KEY TERMS AND DEFINITIONS
  8. Section 2: EMG Signal Modeling and Signal Processing
    1. Chapter 5: Modeling the Human Elbow Joint Dynamics from Surface Electromyography
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MODULATION OF MECHANICAL IMPEDANCE IN HUMAN JOINTS
      5. ELECTROMYOGRAPHY FOR MODELLING THE HUMAN MOTOR SYSTEM
      6. CASE STUDY: FEASIBILITY OF ESTIMATING HUMAN ELBOW JOINT DYNAMICS FROM MYOELECTRIC DATA IN POSTURAL CONTROL
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    2. Chapter 6: Arm Swing during Human Gait Studied by EMG of Upper Limb Muscles
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. GAIT CONDITION - DEPENDENT PATTERNS OF MUSCLE ACTIVITY
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
      9. APPENDIX
    3. Chapter 7: Using in Vivo Subject-Specific Musculotendon Parameters to Investigate Voluntary Movement Changes after Stroke
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
    4. Chapter 8: Study and Interpretation of Neuromuscular Patterns in Golf
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EMG AMPLITUDE PARAMETERS IN GOLF SWING: STATE OF THE ART
      5. EMG ONSET: DIFFICULTIES, BARRIERS, AND PHYSIOLOGICAL MEANING
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
  9. Section 3: EMG: Endurance, Stability, and Muscle Activities
    1. Chapter 9: Assessing Joint Stability from Eigenvalues Obtained from Multi-Channel EMG
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    2. Chapter 10: Endurance Time Prediction using Electromyography
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
    3. Chapter 11: EMG Activation Pattern during Voluntary Bending and Donning Safety Shoes
      1. ABSTRACT
      2. INTRODUCTION
      3. METHOD AND MATERIALS
      4. RESULTS
      5. DISCUSSION
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
    4. Chapter 12: Tongue Movement Estimation Based on Suprahyoid Muscle Activity
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. TONGUE MOVEMENT MECHANISM
      4. 3. FEASIBILITY STUDY OF TONGUE MOVEMENT ESTIMATION
      5. 4. ADVANCED ESTIMATION METHOD OF TONGUE MOVEMENT
      6. 5. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
  10. Section 4: EMG for Prosthetic and HCI Applications
    1. Chapter 13: Design of Myocontrolled Neuroprosthesis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MYOCONTROLLED NEUROPROSTHESIS: A TECHNOLOGICAL CHALLENGE
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 14: Design and Development of EMG Conditioning System and Hand Gesture Recognition Based on Principal Component Analysis Feature Reduction Technique
      1. ABSTRACT
      2. INTRODUCTION
      3. EMG SIGNAL CONDITIONING SYSTEM
      4. EMG DATA ACQUISITION SYSTEM
      5. EXPERIMENTATION
      6. FEATURE EXTRACTION
      7. FEATURE REDUCTION
      8. CLASSIFICATION
      9. RESULTS AND DISCUSSION
      10. DC MOTOR ACTUATION
      11. FUTURE RESEARCH DIRECTIONS
      12. CONCLUSION
      13. ACKNOWLEDGMENT
      14. REFERENCES
      15. ADDITIONAL READING
      16. KEY TERMS AND DEFINITIONS
    3. Chapter 15: The Relationship between Anthropometric Variables and Features of Electromyography Signal for Human–Computer Interface
      1. ABSTRACT
      2. INTRODUCTION
      3. EMG FEATURE EXTRACTION
      4. ANTHROPOMETRIC VARIABLES
      5. STATISTICAL ANALYSIS
      6. RELATIONSHIP BETWEEN EMG FEATURE AND ANTHROPOMETRIC VARIABLE
      7. SEMI-AUTOMATIC AND AUTOMATIC CALIBRATION SYSTEMS
      8. CONCLUSION AND FUTURE WORKS
      9. ACKNOWLEDGMENT
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
  11. Compilation of References
  12. About the Contributors