Computational Intelligence in Electromyography Analysis

Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it c...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Формат: Online
Хэл сонгох:англи
Хэвлэсэн: IntechOpen 2021
Нөхцлүүд:
Онлайн хандалт:ONIX_20210420_9789535108054_1610
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
_version_ 1869530976154025984
collection Directory of Open Access Books
description Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents 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. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research.
format Online
id doab-20.500.12854ir-66252
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher IntechOpen
publisherStr IntechOpen
record_format ojs
spelling doab-20.500.12854ir-662522024-03-31T22:45:32Z Computational Intelligence in Electromyography Analysis Naik, Ganesh R. Medical diagnosis thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents 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. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research. 2021-04-20T15:38:13Z 2021-04-20T15:38:13Z 2012 book ONIX_20210420_9789535108054_1610 9789535108054 9789535170334 https://directory.doabooks.org/handle/20.500.12854/66252 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/2996/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/3315 10.5772/3315 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535108054 9789535170334 IntechOpen 462 open access
spellingShingle Medical diagnosis
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine
Computational Intelligence in Electromyography Analysis
title Computational Intelligence in Electromyography Analysis
title_full Computational Intelligence in Electromyography Analysis
title_fullStr Computational Intelligence in Electromyography Analysis
title_full_unstemmed Computational Intelligence in Electromyography Analysis
title_short Computational Intelligence in Electromyography Analysis
title_sort computational intelligence in electromyography analysis
topic Medical diagnosis
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine
topic_facet Medical diagnosis
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine
url ONIX_20210420_9789535108054_1610