Amazon cover image
Image from Amazon.com

Surface electromyography : fundamentals, computational techniques and clinical applications / Denise Mitchell, editor.

Contributor(s): Material type: TextTextSeries: Physical medicine and rehabilitationPublisher: New York : Nova Biomedical, [2016]Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781536102222
  • 1536102229
Subject(s): Genre/Form: Additional physical formats: Print version:: Surface electromyographyDDC classification:
  • 616.7/407547 23
LOC classification:
  • RC77.5
Online resources:
Contents:
Preface; Chapter 1; Neuromuscular Activation in Swimming and Water Polo; Abstract; Introduction; Brief Highlight on the sEMG Fundamentals; Frequency Analysis of the Studied Topics; Muscles; Populations; Types of Equipment and Data Collection; Data Treatment and Variables; Main Results; Relevance to Practice and Further Research Interests; Conclusion; References; Biographical Sketch; Chapter 2; The Clinical Use of sEMG in the Fields of Kinesiology and Rehabilitation: A Review; Abstract; Introduction; Processing Method and Application of EMG Data
1. Applications of sEMG in the Evaluation of the Quality and Quantity of Muscle Activity in Movement2. Applications of sEMG in Neuromuscular Re-Training with Biofeedback; 3. Application of sEMG in the Evaluation of Muscle Fatigue; Conclusion; Acknowledgment; References; Biographical Sketch; Chapter 3; The Use of sEMG Signals as a Natural Control Interface; Abstract; Introduction; Experimental Methodology; sEMG Signal Acquisition; Digital Filter; Signal Segmentation; Signal Rectification and Normalization; Feature Extraction; Time Domain; Integrated EMG (IEMG); Mean Absolute Value (MAV)
Root Mean Square (RMS)Variance (VAR); Waveform Length (WL); Zero Crossing (ZC); Kurtosis (KURT); Skewness (SKW); Frequency Domain; Auto-Regressive coefficients (AR); Median Frequency (MDF); Mean Frequency (MNF); sEMG Signal Processing and Classification; Signal Processing; Signal Classification; Support Vector Machines; Logistic Regression; Study Cases Using LR and SVM Methods; Conclusion; References; Chapter 4; Use of Surface Electromyography (SEMG) in the Evaluation of the Effectiveness of Orthopedic Insoles; Institute of Sport Sciences, Saarland University,; Saarbruecken, Germany; Abstract
IntroductionEMG Measurement; Test Procedure; EMG Data Evaluation; Results; Conclusion; References; Biographical Sketch; Related Nova Publications; Electromyography: New Developments, Procedures and Applications; Graduate School of Engineering, University of Fukui, Japan; Bibliography; Index; Blank Page
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Home library Collection Call number Materials specified Status Date due Barcode
Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

Description based on print version record and CIP data provided by publisher.

Preface; Chapter 1; Neuromuscular Activation in Swimming and Water Polo; Abstract; Introduction; Brief Highlight on the sEMG Fundamentals; Frequency Analysis of the Studied Topics; Muscles; Populations; Types of Equipment and Data Collection; Data Treatment and Variables; Main Results; Relevance to Practice and Further Research Interests; Conclusion; References; Biographical Sketch; Chapter 2; The Clinical Use of sEMG in the Fields of Kinesiology and Rehabilitation: A Review; Abstract; Introduction; Processing Method and Application of EMG Data

1. Applications of sEMG in the Evaluation of the Quality and Quantity of Muscle Activity in Movement2. Applications of sEMG in Neuromuscular Re-Training with Biofeedback; 3. Application of sEMG in the Evaluation of Muscle Fatigue; Conclusion; Acknowledgment; References; Biographical Sketch; Chapter 3; The Use of sEMG Signals as a Natural Control Interface; Abstract; Introduction; Experimental Methodology; sEMG Signal Acquisition; Digital Filter; Signal Segmentation; Signal Rectification and Normalization; Feature Extraction; Time Domain; Integrated EMG (IEMG); Mean Absolute Value (MAV)

Root Mean Square (RMS)Variance (VAR); Waveform Length (WL); Zero Crossing (ZC); Kurtosis (KURT); Skewness (SKW); Frequency Domain; Auto-Regressive coefficients (AR); Median Frequency (MDF); Mean Frequency (MNF); sEMG Signal Processing and Classification; Signal Processing; Signal Classification; Support Vector Machines; Logistic Regression; Study Cases Using LR and SVM Methods; Conclusion; References; Chapter 4; Use of Surface Electromyography (SEMG) in the Evaluation of the Effectiveness of Orthopedic Insoles; Institute of Sport Sciences, Saarland University,; Saarbruecken, Germany; Abstract

IntroductionEMG Measurement; Test Procedure; EMG Data Evaluation; Results; Conclusion; References; Biographical Sketch; Related Nova Publications; Electromyography: New Developments, Procedures and Applications; Graduate School of Engineering, University of Fukui, Japan; Bibliography; Index; Blank Page

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide

There are no comments on this title.

to post a comment.

O.P. Jindal Global University, Sonepat-Narela Road, Sonepat, Haryana (India) - 131001

Send your feedback to glus@jgu.edu.in

Hosted, Implemented & Customized by: BestBookBuddies   |   Maintained by: Global Library