Open access peer-reviewed Edited Volume

Biosignal Processing

Vahid Asadpour

Kaiser Permanente Southern California

A pioneering researcher in biomedical engineering with a specialty in artificial intelligence, skilled in Bioengineering, Medical Devices, Sensors, Optics, Data Mining, Characterization, Machine Vision, Artificial Intelligence, Dr. Asadpour achieved his Ph.D. in biomedical engineering from Amirkabir University of Technology, Tehran. Dr. Asadpour affiliates with the Sadjad University of Technology, and UCLA, University of North Dakota.


Neural Networks Convolutional Neural Networks SVM Classifier Parametric Models Non-Parametric Models Nonlinear Models Machine Learning Models Wavelet Gabor STFT Time-Frequency Transforms

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About the book

The Biosignal Processing book presents the signal processing approaches for analysis of EEG, EMG, ECG, and other biological signals with a human source. These processes aim to identify the medical conditions and to assist with the diagnosis of the related diseases. The analysis of muscular, cardiac, and neurological signals in an automated identification structure would improve the accuracy of the diagnosis when the robustness of the methods has been considered, and the false positive alarm is in an affordable range. The analysis of biological signals using customized signal processing methods in combination with the artificial intelligent identification methods would contribute to the diagnosis process of the patients. Topics on the modeling of the biological signals, acquisition of biomedical signals based on the disorder under study, computer-aided design of the healthcare plan, and identification of the symptoms using artificial intelligence methods are welcome.

This book would be beneficial for advanced research scholars and higher education students in biomedical engineering.

Publishing process

Book initiated and editor appointed

Date completed: September 22nd 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: December 19th 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: March 9th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: May 8th 2022

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About the editor

Vahid Asadpour

Kaiser Permanente Southern California

Vahid Asadpour is currently with Kaiser Permanente Southern California at the Department of Research and Evaluation, while also affiliated with Polytechnic University of Sadjad. He graduated from Polytechnic University of Tehran achieving M.S. and PH.D. degree in biomedical engineering. He was a visiting professor and researcher at University of North Dakota. Dr. Asadpour is working in the field of artificial intelligence and machine learning and their applications in digital signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. He developed brain computer interfacing algorithms and published one book chapter and several journal and conference papers in this field and other areas of intelligent signal processing. Adding to his professional experimental skills, he also designed medical devices including a laser Doppler monitoring system and therapeutic drug estimation algorithm.

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Book chapters authored 1

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