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EBSCO_ocn960442647 |
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20231017213018.0 |
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161010s2016 nyu ob 001 0 eng |
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|a 2016046482
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|a DLC
|b eng
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|c DLC
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|d OCLCF
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|d INARC
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|d OCLCO
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|a 9781536102222
|q (ebook)
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|a 1536102229
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|z 9781536102024 (hardcover)
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|a (OCoLC)960442647
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|a pcc
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|a HEA
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|a 616.7/407547
|2 23
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|a UAMI
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245 |
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|a Surface electromyography :
|b fundamentals, computational techniques and clinical applications /
|c Denise Mitchell, editor.
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264 |
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|a New York :
|b Nova Biomedical,
|c [2016]
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300 |
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|a 1 online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a data file
|2 rda
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|a Physical medicine and rehabilitation
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|a Includes bibliographical references and index.
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588 |
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|a Description based on print version record and CIP data provided by publisher.
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|a 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
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|a 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)
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|a 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
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|a 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
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Electromyography.
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650 |
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2 |
|a Electromyography
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650 |
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6 |
|a Électromyographie.
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650 |
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|a HEALTH & FITNESS / Diseases / General
|2 bisacsh
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650 |
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|a MEDICAL / Clinical Medicine
|2 bisacsh
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650 |
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|a MEDICAL / Diseases
|2 bisacsh
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|a MEDICAL / Evidence-Based Medicine
|2 bisacsh
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650 |
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|a MEDICAL / Internal Medicine
|2 bisacsh
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650 |
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|a Electromyography
|2 fast
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700 |
1 |
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|a Mitchell, Denise.
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776 |
0 |
8 |
|i Print version:
|t Surface electromyography
|d Hauppauge, New York : Nova Science Publisher's, Inc., [2016]
|z 9781536102024
|w (DLC) 2016041842
|
856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1406233
|z Texto completo
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938 |
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|a Internet Archive
|b INAR
|n surfaceelectromy0000unse
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938 |
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|a EBSCOhost
|b EBSC
|n 1406233
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL4743745
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994 |
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|a 92
|b IZTAP
|