Open Advanced Search

Log in
Enterprise Plans
Free Trial

Log in
Free Trial
Enterprise Plans
Browse
Features
Pricing

DeepDyve

Advanced Search

show/hide query preview

With all of the words or DOIs:

DeepDyve's default query mode: search by keyword or DOI.

With the exact phrase:

Require these words, in this exact order. Do not surround your terms in double-quotes ("") in this field.

With at least one of the words:

Find any of these words, separated by spaces

Without the words:

Exclude each of these words, separated by spaces

With words in the article title:

Search for these terms only in the title of an article

Published between the years:

With the following authors:

Most effective as: LastName, First Name or Lastname, FN

With words in the journal name:

Search for articles published in journals where these words are in the journal name

Reset filters

Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

DeepDyve requires Javascript to function. Please enable Javascript on your browser to continue.

Biomedical Signal Processing

Part of the Series in BioEngineering Book Series

Editors: Naik, Ganesh

DOI: 10.1007/978-981-13-9097-5

ISBN: 978-981-13-9096-8

Publisher: Springer Singapore - Springer Journals

Nov 13, 2019

1 - 10 of 16 Chapters

LitStream

Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations

Phinyomark, Angkoon; Campbell, Evan; Scheme, Erik

Pages: 3 –29

[Electromyography (EMG) is the process of measuring the electrical activity produced by muscles throughout the body using electrodes on the surface of the skin or inserted in the muscle. EMG pattern recognition based myoelectric control systems typically contain data pre-processing, data...
LitStream

Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots

Baby Jephil, Palayil; Acharaya, Paras; Xu, Lian; Guo, Kairui; Yu, Hairong; Watsford, Mark; Rong, Song; Su, Steven

Pages: 31 –47

[Surface Electromyography (S-EMG) has shown the advantages of robotic rehabilitation. Robotic rehabilitation can be significantly improved if the intended body movement of the patients can be well identified. In this chapter, we first use the SVM classifier to identify the intended motion...
LitStream

Force Myography and Its Application to Human Locomotion

Godiyal, Anoop Kant; Verma, Vinay; Khanna, Nitin; Joshi, Deepak

Pages: 49 –70

[Locomotion is a highly skillful task that we humans perform using our two limbs to commute from one place to another.]
LitStream

Comparison of Independence of Triceps Brachii and Biceps Brachii Between Paretic and Non-paretic Side During Different MVCs—A Case Study

Naik, Ganesh; Chai, Rifai; Su, Steven; Rong, Song; Nguyen, Hung T.

Pages: 71 –79

[Stroke is one of the major causes of permanent disability in adults. Physical training and rehabilitation help stroke survivors to carry out their day-to-day tasks. Surface electromyography (sEMG) has been widely used for stroke rehabilitation and assessment of muscle activities for different...
LitStream

An EEG Brain-Computer Interface to Classify Motor Imagery Signals

Andrade, Maria Karoline; de Santana, Maíra Araújo; Moreno, Giselle; Oliveira, Igor; Santos, Jhonnatan; Rodrigues, Marcelo Cairrão Araújo; Santos, Wellington Pinheiro dos

Pages: 83 –98

[Considering the increase in life expectancy, people started to invest in technologies capable of improving the quality of life. One of these technologies is the Brain-Machine Interface. Combined with EEG signals, this technique may allow individuals with some motor disabilities to perform...
LitStream

Using Artificial Neural Networks on Multi-channel EEG Data to Detect the Effect of Binaural Stimuli in Resting State

da Silva Júnior, Maurício; de Freitas, Rafaela Covello; da Silva, Washington Wagner Azevedo; Rodrigues, Marcelo Cairrão Araújo; Conde, Erick Francisco Quintas; dos Santos, Wellington Pinheiro

Pages: 99 –136

[More than 7% of the population of the world is afflicted by anxiety disorders. If related to mood disorders, anxiety can trigger or escalate other symptoms and affects mental diseases, akin depression, and suicidal behavior. Recent works have shown that binaural beats are able to reduce anxiety...
LitStream

Automated Detection of Seizure and Nonseizure EEG Signals Using Two Band Biorthogonal Wavelet Filter Banks

Bhati, Dinesh; Pachori, Ram Bilas; Sharma, Manish; Gadre, Vikram M.

Pages: 137 –155

[The automated feature identification and classification of nonseizure and seizure electroencephalogram (EEG) is very useful for the diagnosis of epilepsy. In this chapter two band biorthogonal wavelet filter banks are used for classification of nonseizure and seizure EEG signals, and their...
LitStream

Automated Identification of Epileptic Seizures from EEG Signals Using FBSE-EWT Method

Gupta, Vipin; Bhattacharyya, Abhijit; Pachori, Ram Bilas

Pages: 157 –179

[Epilepsy is a neurological disorder that leads to the occurrence of recurrent seizures. The electroencephalogram (EEG) signal is commonly used to record the electrical functioning from the brain. These recorded EEG signals have non-stationary and non-linear characteristics. In this chapter, we...
LitStream

DWT Based Time Domain Features on Detection of Epilepsy Seizures from EEG Signal

Sharmila, A.; Geethanjali, P.

Pages: 181 –200

[In the study of detection of an epileptic seizure using Electroencephalogram (EEG), pattern recognition has been recognized as a valued tool. In this pattern recognition study, the first time the authors have attempted to use time domain (TD) features such as waveform length (WL), number of...
LitStream

Unipolar Cardiac Leads Between History and Science

Moeinzadeh, Hossein; Assad, Joseph; Bifulco, Paolo; Cesarelli, Mario; McEwan, Alistair L.; O’Loughlin, Aiden; Shugman, Ibrahim M.; Tapson, Jonathan C.; Thiagalingam, Aravinda; Gargiulo, Gaetano D.

Pages: 203 –224

[The surface electrocardiography (ECG) uses a virtual reference point to measure the potential of chest electrodes. This reference potential is known as Wilson central terminal (WCT) and is assumed negligible (near zero) in amplitude. Consequently, the precordial leads have been named as the...

results per page

Browse All eBooks

Features

Search and discover articles on DeepDyve, PubMed, and Google Scholar
Read the full-text of open access and premium content
Organize articles with folders and bookmarks
Collaborate on and share articles and folders

Info

Pricing
Enterprise Plans
Browse Journals & Topics
About DeepDyve

Help

Help
Publishers
Contact Us

Sign up for your 14-Day Free Trial Now!

Read and print from thousands of top scholarly journals.

System error. Please try again!

Continue with Facebook

By signing up, you agree to DeepDyve’s Terms of Service and Privacy Policy.

Already have an account? Log in

Save Article to Bookmarks

Bookmark this article. You can see your Bookmarks on your DeepDyve Library.

To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.

Subscribe to Journal Email Alerts

To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.

Follow a Journal

To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.

Our policy towards the use of cookies

All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.

cookie policy