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  1. AU="Rutkove, Seward B."
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  1. Book ; Online ; E-Book: Biomedical research

    Rutkove, Seward B.

    an insider’s guide

    2016  

    Author's details Seward B. Rutkove
    Keywords grant writing ; leadership ; medical research ; pilot data ; research staff
    Language English
    Size 1 Online-Ressource (xiv, 299 Seiten)
    Publisher Springer
    Publishing place New York
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019054919
    ISBN 978-1-4939-3655-7 ; 9781493936533 ; 1-4939-3655-7 ; 1493936530
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

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  2. Article ; Online: Advancing electrical impedance myography one small step at a time.

    Rutkove, Seward B

    Muscle & nerve

    2023  Volume 69, Issue 3, Page(s) 257–259

    MeSH term(s) Electric Impedance ; Muscle, Skeletal ; Myography
    Language English
    Publishing date 2023-12-21
    Publishing country United States
    Document type Editorial
    ZDB-ID 438353-9
    ISSN 1097-4598 ; 0148-639X
    ISSN (online) 1097-4598
    ISSN 0148-639X
    DOI 10.1002/mus.28030
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1449: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
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    Zs.MO 551: Show issues

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  3. Article ; Online: Electrical impedance myography: MRI-like data without the need for MRI.

    Rutkove, Seward B

    Muscle & nerve

    2020  Volume 61, Issue 5, Page(s) 554–556

    MeSH term(s) Electric Impedance ; Humans ; Magnetic Resonance Imaging ; Muscle, Skeletal ; Muscular Dystrophy, Facioscapulohumeral ; Myography
    Language English
    Publishing date 2020-02-20
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 438353-9
    ISSN 1097-4598 ; 0148-639X
    ISSN (online) 1097-4598
    ISSN 0148-639X
    DOI 10.1002/mus.26832
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1449: Show issues Location:
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    Zs.MO 551: Show issues

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  4. Article ; Online: The final frontier: Primary muscle dysfunction in amyotrophic lateral sclerosis.

    Rutkove, Seward B

    Muscle & nerve

    2018  Volume 59, Issue 2, Page(s) 152–153

    MeSH term(s) Animals ; Mice ; Amyotrophic Lateral Sclerosis ; Muscle Contraction ; Muscles ; Musculoskeletal System ; Superoxide Dismutase-1 ; Disease Models, Animal
    Chemical Substances Sod1 protein, mouse (EC 1.15.1.1) ; Superoxide Dismutase-1 (EC 1.15.1.1)
    Language English
    Publishing date 2018-12-21
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 438353-9
    ISSN 1097-4598 ; 0148-639X
    ISSN (online) 1097-4598
    ISSN 0148-639X
    DOI 10.1002/mus.26387
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1449: Show issues Location:
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  5. Book ; Online: The Clinical Neurophysiology Primer

    Blum, Andrew S. / Rutkove, Seward B.

    2007  

    Author's details edited by Andrew S. Blum, Seward B. Rutkove
    Keywords Family medicine ; Internal medicine ; Neurology ; Neurosciences
    Language English
    Publisher Humana Press Inc
    Publishing place Totowa, NJ
    Document type Book ; Online
    HBZ-ID TT050387006
    ISBN 978-0-89603-996-4 ; 978-1-597-45271-7 ; 0-89603-996-X ; 1-597-45271-8
    DOI 10.1007/978-1-59745-271-7
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article ; Online: No, it's not 1976 all over again.

    Rutkove, Seward B / Betensky, Rebecca A

    Annals of neurology

    2021  Volume 90, Issue 2, Page(s) 189–190

    MeSH term(s) Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19 Vaccines/administration & dosage ; COVID-19 Vaccines/adverse effects ; Facial Paralysis/chemically induced ; Facial Paralysis/diagnosis ; Influenza A Virus, H1N1 Subtype ; Influenza, Human/epidemiology ; Influenza, Human/prevention & control ; Vaccination/methods ; Vaccination/trends
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-06-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.26142
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 478: Show issues

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  7. Article ; Online: Rapid patient-specific FEM meshes from 3D smart-phone based scans.

    Murphy, Ethan K / Smith, Joel / Kokko, Michael A / Rutkove, Seward B / Halter, Ryan J

    Physiological measurement

    2024  Volume 45, Issue 2

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Electric Impedance ; Tomography/methods ; Software
    Language English
    Publishing date 2024-02-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 1149545-5
    ISSN 1361-6579 ; 0967-3334
    ISSN (online) 1361-6579
    ISSN 0967-3334
    DOI 10.1088/1361-6579/ad26d2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1559: Show issues Location:
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  8. Article ; Online: Combining electromyographic and electrical impedance data sets through machine learning: A study in D2-mdx and wild-type mice.

    Pandeya, Sarbesh / Sanchez, Benjamin / Nagy, Janice A / Rutkove, Seward B

    Muscle & nerve

    2023  Volume 68, Issue 5, Page(s) 781–788

    Abstract: Introduction/aims: Needle impedance-electromyography (iEMG) assesses the active and passive electrical properties of muscles concurrently by using a novel needle with six electrodes, two for EMG and four for electrical impedance myography (EIM). Here, ... ...

    Abstract Introduction/aims: Needle impedance-electromyography (iEMG) assesses the active and passive electrical properties of muscles concurrently by using a novel needle with six electrodes, two for EMG and four for electrical impedance myography (EIM). Here, we assessed an approach for combining multifrequency EMG and EIM data via machine learning (ML) to discriminate D2-mdx muscular dystrophy and wild-type (WT) mouse skeletal muscle.
    Methods: iEMG data were obtained from quadriceps of D2-mdx mice, a muscular dystrophy model, and WT animals. EIM data were collected with the animals under deep anesthesia and EMG data collected under light anesthesia, allowing for limited spontaneous movement. Fourier transformation was performed on the EMG data to provide power spectra that were sampled across the frequency range using three different approaches. Random forest-based, nested ML was applied to the EIM and EMG data sets separately and then together to assess healthy versus disease category classification using a nested cross-validation procedure.
    Results: Data from 20 D2-mdx and 20 WT limbs were analyzed. EIM data fared better than EMG data in differentiating healthy from disease mice with 93.1% versus 75.6% accuracy, respectively. Combining EIM and EMG data sets yielded similar performance as EIM data alone with 92.2% accuracy.
    Discussion: We have demonstrated an ML-based approach for combining EIM and EMG data obtained with an iEMG needle. While EIM-EMG in combination fared no better than EIM alone with this data set, the approach used here demonstrates a novel method of combining the two techniques to characterize the full electrical properties of skeletal muscle.
    Language English
    Publishing date 2023-09-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 438353-9
    ISSN 1097-4598 ; 0148-639X
    ISSN (online) 1097-4598
    ISSN 0148-639X
    DOI 10.1002/mus.27963
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A new technology, a new application, and the road ahead.

    Rutkove, Seward B

    Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

    2017  Volume 128, Issue 2, Page(s) 382–383

    MeSH term(s) Electromyography ; Humans ; Neuromuscular Diseases
    Language English
    Publishing date 2017
    Publishing country Netherlands
    Document type Editorial ; Comment
    ZDB-ID 1463630-x
    ISSN 1872-8952 ; 0921-884X ; 1388-2457
    ISSN (online) 1872-8952
    ISSN 0921-884X ; 1388-2457
    DOI 10.1016/j.clinph.2016.12.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui II Zs.140: Show issues Location:
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  10. Article ; Online: On establishing a grant pre-review process for new investigators.

    Rutkove, Seward B

    Annals of neurology

    2017  Volume 82, Issue 4, Page(s) 495–496

    MeSH term(s) Humans ; Research ; Research Personnel ; United States ; Writing
    Language English
    Publishing date 2017-10-04
    Publishing country United States
    Document type Editorial
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.25038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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