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Biomedical signal and image processing in patient care

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biomedical signal and image processing in patient care/ Mahshkumar H. Kolekar, editor.
Published:	Hershey, Pennsylvania :IGI Global, : [2017],
Description:	1 online resource (xx, 312 p.) :ill.
[NT 15003449]:	Chapter 1. Biomedical signal analysis and its physio-clinical perspectives -- Chapter 2. Automated classification of focal and non-focal EEG signals based on bivariate empirical mode decomposition -- Chapter 3. A discrete-wavelet-transform- and hidden-Markov-model-based approach for epileptic focus localization -- Chapter 4. Classification and compression of ECG signal for holter device -- Chapter 5. MRI denoising for healthcare -- Chapter 6. Framework for integration of medical image and text-based report retrieval to support radiological diagnosis -- Chapter 7. Image registration in ultrasound-assisted brain surgery: its prospects, challenges, and techniques -- Chapter 8. Automatic retinal image analysis for the detection of diabetic retinopathy -- Chapter 9. Selected shape and texture features for automatic detection of acute lymphoblastic leukemia -- Chapter 10. Automated method of analysing sputum smear tuberculosis images using multifractal approach: automated analysis of sputum smear tuberculosis images -- Chapter 11. Rehabilitation and medical assistant technique in virtual reality -- Chapter 12. Development of a wireless controlled iontophoretic drug delivery system.
Subject:	Medical informatics. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2829-6
ISBN:	9781522528302 (ebook)

Biomedical signal and image processing in patient care
Biomedical signal and image processing in patient care[electronic resource] /Mahshkumar H. Kolekar, editor. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xx, 312 p.) :ill.

Includes bibliographical references and index.

Chapter 1. Biomedical signal analysis and its physio-clinical perspectives -- Chapter 2. Automated classification of focal and non-focal EEG signals based on bivariate empirical mode decomposition -- Chapter 3. A discrete-wavelet-transform- and hidden-Markov-model-based approach for epileptic focus localization -- Chapter 4. Classification and compression of ECG signal for holter device -- Chapter 5. MRI denoising for healthcare -- Chapter 6. Framework for integration of medical image and text-based report retrieval to support radiological diagnosis -- Chapter 7. Image registration in ultrasound-assisted brain surgery: its prospects, challenges, and techniques -- Chapter 8. Automatic retinal image analysis for the detection of diabetic retinopathy -- Chapter 9. Selected shape and texture features for automatic detection of acute lymphoblastic leukemia -- Chapter 10. Automated method of analysing sputum smear tuberculosis images using multifractal approach: automated analysis of sputum smear tuberculosis images -- Chapter 11. Rehabilitation and medical assistant technique in virtual reality -- Chapter 12. Development of a wireless controlled iontophoretic drug delivery system.

Restricted to subscribers or individual electronic text purchasers.

This book bridges the gap between signal processing and healthcare system and present a collection of high-quality research work that report the latest advances in the area of signal and image processing techniques in healthcare. It focuses on advanced topics in biomedical signal and image processing and its recent applications in medical and research field.

ISBN: 9781522528302 (ebook)Subjects--Topical Terms:

661258
Medical informatics.

LC Class. No.: R853.D37 / H36 2006e

Dewey Class. No.: 610/.285

National Library of Medicine Call No.: W 83.1 / B56 2006

Biomedical signal and image processing in patient care
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245 0 0 $a Biomedical signal and image processing in patient care $h [electronic resource] / $c Mahshkumar H. Kolekar, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
300 $a 1 online resource (xx, 312 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Biomedical signal analysis and its physio-clinical perspectives -- Chapter 2. Automated classification of focal and non-focal EEG signals based on bivariate empirical mode decomposition -- Chapter 3. A discrete-wavelet-transform- and hidden-Markov-model-based approach for epileptic focus localization -- Chapter 4. Classification and compression of ECG signal for holter device -- Chapter 5. MRI denoising for healthcare -- Chapter 6. Framework for integration of medical image and text-based report retrieval to support radiological diagnosis -- Chapter 7. Image registration in ultrasound-assisted brain surgery: its prospects, challenges, and techniques -- Chapter 8. Automatic retinal image analysis for the detection of diabetic retinopathy -- Chapter 9. Selected shape and texture features for automatic detection of acute lymphoblastic leukemia -- Chapter 10. Automated method of analysing sputum smear tuberculosis images using multifractal approach: automated analysis of sputum smear tuberculosis images -- Chapter 11. Rehabilitation and medical assistant technique in virtual reality -- Chapter 12. Development of a wireless controlled iontophoretic drug delivery system.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 $a This book bridges the gap between signal processing and healthcare system and present a collection of high-quality research work that report the latest advances in the area of signal and image processing techniques in healthcare. It focuses on advanced topics in biomedical signal and image processing and its recent applications in medical and research field.
650 0 $a Medical informatics. $3 661258
650 0 $a Bioinformatics. $3 553671
650 0 $a Telemedicine $x methods. $3 781164
650 0 $a Signal Processing, Computer-Assisted. $3 925516
650 0 $a Image Processing, Computer-Assisted. $3 817501
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2829-6