𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Applications, Challenges, and Advancements in Electromyography Signal Processing

✍ Scribed by Ganesh R. Naik


Publisher
IGI Global
Year
2014
Tongue
English
Leaves
425
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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.

✦ Subjects


Biomedical Engineering;Bioengineering;Engineering;Engineering & Transportation;Sensors;Electronics;Electrical & Electronics;Engineering;Engineering & Transportation;Signal Processing;Telecommunications & Sensors;Engineering;Engineering & Transportation;Rheumatology;Internal Medicine;Medicine;Rheumatology;Clinical;Medicine;Medicine & Health Sciences;New, Used & Rental Textbooks;Specialty Boutique


πŸ“œ SIMILAR VOLUMES


Advances in Heuristic Signal Processing
✍ Bingo Wing-Kuen Ling, Charlotte Yuk-Fan Ho (auth.), Amitava Chatterjee, Hadi Nob πŸ“‚ Library πŸ“… 2013 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm fir

Biomedical Signal Processing: Advances i
✍ Ganesh Naik πŸ“‚ Library πŸ“… 2020 πŸ› Springer Singapore 🌐 English

<p><p>This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throug

Advances in Applied Electromyography
✍ Mizrahi J. (Ed.) πŸ“‚ Library 🌐 English

Rijeka: Intech, 2011. β€” 224 p.<div class="bb-sep"></div>The electrical activity of the muscles, as measured by means of electromyography (EMG), is a major expression of muscle contraction. This book aims at providing an updated overview of the recent developments in electromyography from diverse asp

Machine Learning in Signal Processing: A
✍ Sudeep Tanwar (editor), Anand Nayyar (editor), Rudra Rameshwar (editor) πŸ“‚ Library πŸ“… 2021 πŸ› Chapman and Hall/CRC 🌐 English

<p><b><i>Machine Learning in Signal Processing: Applications, Challenges and Road Ahead</i></b> offers a comprehensive approach towards research orientation for familiarising β€˜signal processing (SP)’ concepts to machine learning (ML).</p> <p>Machine Learning (ML), as the driving force of the wave of

Advances in Audio and Speech Signal Proc
✍ Hector Perez Meana πŸ“‚ Library πŸ“… 2007 πŸ› IGI Global 🌐 English

Audio and speech processing have achieved important status in development in the last three decades, improving the standard of living of many people. Regarding these applications, several signal processing algorithms have been developed to assist the speech impaired and improve the learning ability

Advances in Audio and Speech Signal Proc
✍ Hector Perez Meana, Hector Perez Meana πŸ“‚ Library πŸ“… 2007 πŸ› IGI Global 🌐 English

Audio and speech processing have achieved important status in development in the last three decades, improving the standard of living of many people. Regarding these applications, several signal processing algorithms have been developed to assist the speech impaired and improve the learning ability