EMG signals characterization in three states of contraction by fuzzy network and feature extraction:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore [u.a.]
Springer
2015
|
| Schriftenreihe: | SpringerBriefs in applied sciences and technology : forensic and medical bioinformatics
|
| Schlagworte: | |
| Online-Zugang: | BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract Inhaltsverzeichnis |
| Beschreibung: | 1 Online-Ressource (XV, 35 p. 17 illus., 13 illus. in color) |
| ISBN: | 9789812873200 |
| DOI: | 10.1007/978-981-287-320-0 |
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Datensatz im Suchindex
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| adam_text | EMG SIGNALS CHARACTERIZATION IN THREE STATES OF CONTRACTION BY FUZZY
NETWORK AND FEATURE EXTRACTION
/ MOKHLESABADIFARAHANI, BITA
: 2015
ABSTRACT / INHALTSTEXT
NEURO-MUSCULAR AND MUSCULOSKELETAL DISORDERS AND INJURIES HIGHLY AFFECT
THE LIFE STYLE AND THE MOTION ABILITIES OF AN INDIVIDUAL. THIS BRIEF
HIGHLIGHTS A SYSTEMATIC METHOD FOR DETECTION OF THE LEVEL OF MUSCLE
POWER DECLINING IN MUSCULOSKELETAL AND NEURO-MUSCULAR DISORDERS. THE
NEURO-FUZZY SYSTEM IS TRAINED WITH 70 PERCENT OF THE RECORDED
ELECTROMYOGRAPHY (EMG) CUT OFF WINDOW AND THEN USED FOR CLASSIFICATION
AND MODELING PURPOSES. THE NEURO-FUZZY CLASSIFIER IS VALIDATED IN
COMPARISON TO SOME OTHER WELL-KNOWN CLASSIFIERS IN CLASSIFICATION OF THE
RECORDED EMG SIGNALS WITH THE THREE STATES OF CONTRACTIONS CORRESPONDING
TO THE EXTRACTED FEATURES. DIFFERENT STRUCTURES OF THE NEURO-FUZZY
CLASSIFIER ARE ALSO COMPARATIVELY ANALYZED TO FIND THE OPTIMUM STRUCTURE
OF THE CLASSIFIER USED
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
EMG SIGNALS CHARACTERIZATION IN THREE STATES OF CONTRACTION BY FUZZY
NETWORK AND FEATURE EXTRACTION
/ MOKHLESABADIFARAHANI, BITA
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION TO EMG TECHNIQUE AND FEATURE EXTRACTION
METHODOLOGY FOR WORKING WITH EMG DATASET
RESULTS
CONCLUSIONS AND INFERENCES OF PRESENT STUDY
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Mokhlesabadifarahani, Bita |
| author_facet | Mokhlesabadifarahani, Bita |
| author_role | aut |
| author_sort | Mokhlesabadifarahani, Bita |
| author_variant | b m bm |
| building | Verbundindex |
| bvnumber | BV042387523 |
| collection | ZDB-2-ENG |
| ctrlnum | (OCoLC)904398668 (DE-599)BVBBV042387523 |
| dewey-full | 610.28 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.28 |
| dewey-search | 610.28 |
| dewey-sort | 3610.28 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| doi_str_mv | 10.1007/978-981-287-320-0 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:51:25Z |
| institution | BVB |
| isbn | 9789812873200 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027823483 |
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| spellingShingle | Mokhlesabadifarahani, Bita EMG signals characterization in three states of contraction by fuzzy network and feature extraction Engineering Forensic medicine Medical records / Data processing Orthopedics Rehabilitation Bioinformatics Biomedical engineering Biomedical Engineering Forensic Science Computational Biology/Bioinformatics Health Informatics Datenverarbeitung Ingenieurwissenschaften |
| title | EMG signals characterization in three states of contraction by fuzzy network and feature extraction |
| title_auth | EMG signals characterization in three states of contraction by fuzzy network and feature extraction |
| title_exact_search | EMG signals characterization in three states of contraction by fuzzy network and feature extraction |
| title_full | EMG signals characterization in three states of contraction by fuzzy network and feature extraction Bita Mokhlesabadifarahani ; Vinit Kumar Gunjan |
| title_fullStr | EMG signals characterization in three states of contraction by fuzzy network and feature extraction Bita Mokhlesabadifarahani ; Vinit Kumar Gunjan |
| title_full_unstemmed | EMG signals characterization in three states of contraction by fuzzy network and feature extraction Bita Mokhlesabadifarahani ; Vinit Kumar Gunjan |
| title_short | EMG signals characterization in three states of contraction by fuzzy network and feature extraction |
| title_sort | emg signals characterization in three states of contraction by fuzzy network and feature extraction |
| topic | Engineering Forensic medicine Medical records / Data processing Orthopedics Rehabilitation Bioinformatics Biomedical engineering Biomedical Engineering Forensic Science Computational Biology/Bioinformatics Health Informatics Datenverarbeitung Ingenieurwissenschaften |
| topic_facet | Engineering Forensic medicine Medical records / Data processing Orthopedics Rehabilitation Bioinformatics Biomedical engineering Biomedical Engineering Forensic Science Computational Biology/Bioinformatics Health Informatics Datenverarbeitung Ingenieurwissenschaften |
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