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  1. Book ; Online ; E-Book: Biomedical signal processing

    Naik, Ganesh R. / Santos, Wellington Pinheiro dos

    a modern approach

    (Biomedical Signal and Image Processing Series)

    2024  

    Abstract: This book presents the theoretical basis and applications of biomedical signal analysis and processing. This covers the nature of the most common biomedical signals followed by theoretical basis of linear signal processing and machine learning concepts, ... ...

    Author's details edited by Ganesh R. Naik and Wellington Pinheiro dos Santos
    Series title Biomedical Signal and Image Processing Series
    Abstract This book presents the theoretical basis and applications of biomedical signal analysis and processing. This covers the nature of the most common biomedical signals followed by theoretical basis of linear signal processing and machine learning concepts, and pertinent applications.
    Keywords Signal processing ; Biomedical engineering ; Medical instruments and apparatus
    Subject code 610.28
    Language English
    Size 1 online resource (294 pages)
    Edition 1st ed.
    Publisher CRC Press
    Publishing place Boca Raton, FL
    Document type Book ; Online ; E-Book
    Note Includes index.
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 1-000-90646-9 ; 9781032061924 ; 978-1-000-90646-2 ; 1032061928
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: Wearable/personal monitoring devices present to future

    Gargiulo, Gaetano D. / Naik, Ganesh R.

    2022  

    Author's details edited by Gaetano D. Gargiulo, Ganesh R. Naik
    Keywords Wearable technology
    Subject code 002
    Language English
    Size 1 online resource (298 pages)
    Publisher Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-16-5324-0 ; 981-16-5323-2 ; 978-981-16-5324-7 ; 978-981-16-5323-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Applied Biological Engineering : Principles and Practice

    Naik, Ganesh R.

    2012  

    Keywords Biotechnology
    Size 1 electronic resource (676 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021045898
    ISBN 9789535161752 ; 953516175X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Computational Intelligence in Electromyography Analysis : A Perspective on Current Applications and Future Challenges

    Naik, Ganesh R.

    2012  

    Keywords Clinical & internal medicine ; Medical diagnosis
    Size 1 electronic resource (462 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021046246
    ISBN 9789535170334 ; 9535170333
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article: Editorial: Neurorobotics explores gait movement in the sporting community.

    Gams, Andrej / Naik, Ganesh R

    Frontiers in neurorobotics

    2023  Volume 17, Page(s) 1127994

    Language English
    Publishing date 2023-01-17
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2453002-5
    ISSN 1662-5218
    ISSN 1662-5218
    DOI 10.3389/fnbot.2023.1127994
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Unraveling the complexities of pathological voice through saliency analysis.

    Shaikh, Abdullah Abdul Sattar / Bhargavi, M S / Naik, Ganesh R

    Computers in biology and medicine

    2023  Volume 166, Page(s) 107566

    Abstract: The human voice is an essential communication tool, but various disorders and habits can disrupt it. Diagnosis of pathological and abnormal voices is very important. Conventional diagnosis of these voice pathologies can be invasive and costly. Voice ... ...

    Abstract The human voice is an essential communication tool, but various disorders and habits can disrupt it. Diagnosis of pathological and abnormal voices is very important. Conventional diagnosis of these voice pathologies can be invasive and costly. Voice pathology disorders can be effectively detected using Artificial Intelligence and computer-aided voice pathology classification tools. Previous studies focused primarily on binary classification, leaving limited attention to multi-class classification. This study proposes three different neural network architectures to investigate the feature characteristics of three voice pathologies-Hyperkinetic Dysphonia, Hypokinetic Dysphonia, Reflux Laryngitis, and healthy voices using multi-class classification and the Voice ICar fEDerico II (VOICED) dataset. The study proposes UNet++ autoencoder-based denoiser techniques for accurate feature extraction to overcome noisy data. The architectures include a Multi-Layer Perceptron (MLP) trained on structured feature sets, a Short-Time Fourier Transform (STFT) model, and a Mel-Frequency Cepstral Coefficients (MFCC) model. The MLP model on 143 features achieved 97.1% accuracy, while the STFT model showed similar performance with increased sensitivity of 99.8%. The MFCC model maintained 97.1% accuracy but with a smaller model size and improved accuracy on the Reflux Laryngitis class. The study identifies crucial features through saliency analysis and reveals that detecting voice abnormalities requires the identification of regions of inaudible high-pitch sounds. Additionally, the study highlights the challenges posed by limited and disjointed pathological voice databases and proposes solutions for enhancing the performance of voice abnormality classification. Overall, the study's findings have potential applications in clinical applications and specialized audio-capturing tools.
    Language English
    Publishing date 2023-10-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.107566
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 653: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database.

    Brandwood, Benjamin M / Naik, Ganesh R / Gunawardana, Upul / Gargiulo, Gaetano D

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 17

    Abstract: This study proposes a novel method for obtaining the electrocardiogram (ECG) derived respiration (EDR) from a single lead ECG and respiration-derived cardiogram (RDC) from a respiratory stretch sensor. The research aims to reconstruct the respiration ... ...

    Abstract This study proposes a novel method for obtaining the electrocardiogram (ECG) derived respiration (EDR) from a single lead ECG and respiration-derived cardiogram (RDC) from a respiratory stretch sensor. The research aims to reconstruct the respiration waveform, determine the respiration rate from ECG QRS heartbeat complexes data, locate heartbeats, and calculate a heart rate (HR) using the respiration signal. The accuracy of both methods will be evaluated by comparing located QRS complexes and inspiration maxima to reference positions. The findings of this study will ultimately contribute to the development of new, more accurate, and efficient methods for identifying heartbeats in respiratory signals, leading to better diagnosis and management of cardiovascular diseases, particularly during sleep where respiration monitoring is paramount to detect apnoea and other respiratory dysfunctions linked to a decreased life quality and known cause of cardiovascular diseases. Additionally, this work could potentially assist in determining the feasibility of using simple, no-contact wearable devices for obtaining simultaneous cardiology and respiratory data from a single device.
    MeSH term(s) Humans ; Cardiovascular Diseases/diagnosis ; Heart ; Electrocardiography ; Respiration ; Respiratory Rate
    Language English
    Publishing date 2023-08-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23177401
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Editorial: Machine learning and applied neuroscience.

    Dos Santos, Wellington Pinheiro / Conti, Vincenzo / Gambino, Orazio / Naik, Ganesh R

    Frontiers in neurorobotics

    2023  Volume 17, Page(s) 1191045

    Language English
    Publishing date 2023-04-06
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2453002-5
    ISSN 1662-5218
    ISSN 1662-5218
    DOI 10.3389/fnbot.2023.1191045
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Single Channel Surface Electromyogram Deconvolution is a Useful Pre-Processing for Myoelectric Control.

    Bourges, Maxime / Naik, Ganesh R / Mesin, Luca

    IEEE transactions on bio-medical engineering

    2022  Volume 69, Issue 5, Page(s) 1767–1775

    Abstract: Objective: Myoelectric control requires fast and stable identification of a movement from data recorded from a comfortable and straightforward system.: Methods: We consider a new real-time pre-processing method applied to a single differential ... ...

    Abstract Objective: Myoelectric control requires fast and stable identification of a movement from data recorded from a comfortable and straightforward system.
    Methods: We consider a new real-time pre-processing method applied to a single differential surface electromyogram (EMG): deconvolution, providing an estimation of the cumulative firings of motor units. A 2 channel-10 class finger movement problem has been investigated on 10 healthy subjects. We have compared raw EMG and deconvolution signals, as sources of information for two specific classifiers (based on either Support Vector Machines or k-Nearest Neighbours), with classical time-domain input features selected using Mutual Component Analysis.
    Results: Using the proposed pre-processing technique, classification performances statistically improve. For example, the true positive rates of the best-tested configurations were 80.9% and 86.3% when using the EMG and its deconvoluted signal, respectively.
    Conclusion: Even considering the limited dataset and range of classification approaches investigated, our preliminary results indicate the potential usefulness of the deconvolution pre-processing.
    Significance: Deconvolution of EMG is a fast pre-processing that could be easily embedded in different myoelectric control applications.
    MeSH term(s) Algorithms ; Electromyography/methods ; Humans ; Movement ; Pattern Recognition, Automated/methods ; Support Vector Machine
    Language English
    Publishing date 2022-04-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 160429-6
    ISSN 1558-2531 ; 0018-9294
    ISSN (online) 1558-2531
    ISSN 0018-9294
    DOI 10.1109/TBME.2021.3131650
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 425: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Book ; Online: Non-negative matrix factorization techniques

    Naik, Ganesh R

    advances in theory and applications

    (Signals and communication technology)

    2016  

    Author's details Ganesh R. Naik, editor
    Series title Signals and communication technology
    Keywords Matrices ; Non-negative matrices ; Signal processing/Mathematics
    Language English
    Size Online-Ressource
    Publisher Springer
    Publishing place Heidelberg
    Document type Book ; Online
    Note Includes bibliographical references
    ISBN 3662483319 ; 9783662483305 ; 9783662483312 ; 3662483300
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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