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  1. Book ; Online ; Conference proceedings: Brain and Human Body Modelling 2021

    Makarov, Sergey / Noetscher, Gregory / Nummenmaa, Aapo

    Selected papers presented at 2021 BHBM Conference at Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital

    2023  

    Author's details edited by Sergey Makarov, Gregory Noetscher, Aapo Nummenmaa
    Keywords Biomedical engineering ; Telecommunication ; Radiation dosimetry
    Subject code 610.28
    Language English
    Size 1 Online-Ressource (VI, 172 p. 81 illus., 80 illus. in color)
    Edition 1st ed. 2023
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; Conference proceedings
    HBZ-ID HT021626995
    ISBN 978-3-031-15451-5 ; 9783031154508 ; 9783031154522 ; 9783031154539 ; 3-031-15451-7 ; 3031154509 ; 3031154525 ; 3031154533
    DOI 10.1007/978-3-031-15451-5
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; Conference proceedings: Brain and Human Body Modelling 2021

    Makarov, Sergey / Noetscher, Gregory / Nummenmaa, Aapo

    Selected papers presented at 2021 BHBM Conference at Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital

    2023  

    Keywords Biomedical engineering ; Microwave technology ; Biophysics ; Electromagnetic Modeling for Electrical and Biological Systems ; Anatomical Models for Radiation Dosimetry ; Computational Human Phantoms ; Computational Human Models ; Electromagnetic safety and exposure evaluations
    Language English
    Size 1 electronic resource (172 pages)
    Publisher Springer Nature
    Publishing place Cham
    Document type Book ; Online ; Conference proceedings
    Note English
    HBZ-ID HT030379335
    ISBN 9783031154515 ; 3031154517
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Brain and Human Body Modeling 2020

    Makarov, Sergey N. / Noetscher, Gregory M. / Nummenmaa, Aapo

    Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting

    2021  

    Author's details edited by Sergey N. Makarov, Gregory M. Noetscher, Aapo Nummenmaa
    Keywords Biomedical engineering ; Electronic circuits
    Subject code 610.28
    Language English
    Size 1 Online-Ressource (XI, 407 p. 223 illus., 199 illus. in color)
    Edition 1st ed. 2021
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online
    HBZ-ID HT020568157
    ISBN 978-3-030-45623-8 ; 9783030456221 ; 9783030456245 ; 9783030456252 ; 3-030-45623-4 ; 3030456226 ; 3030456242 ; 3030456250
    DOI 10.1007/978-3-030-45623-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Brain and Human Body Modeling 2020

    Makarov, Sergey N. / Noetscher, Gregory M. / Nummenmaa, Aapo

    2021  

    Abstract: This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any ... ...

    Abstract ​This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book's coverage of the latest models and techniques available to assess a given technology's safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical
    Keywords Medicine (General) ; Agriculture (General)
    Size 1 electronic resource (407 pages)
    Publisher Springer Nature
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT020676428
    ISBN 9783030456238 ; 3030456234
    DOI 10.1007/978-3-030-45623-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book ; Online: Brain and Human Body Modeling

    Makarov, Sergey / Horner, Marc / Noetscher, Gregory

    Computational Human Modeling at EMBC 2018

    2019  

    Author's details edited by Sergey Makarov, Marc Horner, Gregory Noetscher
    Keywords Biomedical engineering ; Systems engineering ; Microwaves ; Computersimulation ; Körper ; Gehirn
    Subject Cerebrum ; Hirn ; Encephalon ; Enzephalon ; Hirngewebe ; Hirnmasse ; Gehirnmasse ; Mensch ; Menschlicher Körper ; Corpus ; Simulation ; Computer ; Simulationstechnik ; Systemsimulation ; Digitale Simulation ; Computermodell ; Rechnersimulation
    Subject code 610.28
    Language English
    Size 1 Online-Ressource (XI, 402 p. 175 illus., 148 illus. in color)
    Edition 1st ed. 2019
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online
    HBZ-ID HT020186987
    ISBN 978-3-030-21293-3 ; 9783030212926 ; 9783030212940 ; 9783030212957 ; 3-030-21293-9 ; 3030212920 ; 3030212947 ; 3030212955
    DOI 10.1007/978-3-030-21293-3
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Book ; Online: Brain and Human Body Modeling : Computational Human Modeling at EMBC 2018

    Makarov, Sergey / Horner, Marc / Noetscher, Gregory

    2019  

    Keywords Biomedical engineering ; Circuits & components ; Microwave technology ; Engineering ; Electronic circuits ; Microwaves ; Optical engineering
    Size 1 electronic resource (402 pages)
    Publisher Springer Nature
    Publishing place Cham
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021030647
    ISBN 978-3-030-21293-3 ; 3-030-21293-9
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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    Order via subito

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    Inter-library loan at ZB MED

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  7. Article ; Online: Detailed high quality surface-based mouse CAD model suitable for electromagnetic simulations.

    Serano, Peter / Makaroff, Sergey / Ackerman, Jerome L / Nummenmaa, Aapo / Noetscher, Gregory M

    Biomedical physics & engineering express

    2023  Volume 10, Issue 1

    Abstract: Transcranial magnetic stimulation (TMS) studies with small animals can provide useful knowledge of activating regions and mechanisms. Along with this, functional magnetic resonance imaging (fMRI) in mice and rats is increasingly often used to draw ... ...

    Abstract Transcranial magnetic stimulation (TMS) studies with small animals can provide useful knowledge of activating regions and mechanisms. Along with this, functional magnetic resonance imaging (fMRI) in mice and rats is increasingly often used to draw important conclusions about brain connectivity and functionality. For cases of both low- and high-frequency TMS studies, a high-quality computational surface-based rodent model may be useful as a tool for performing supporting modeling and optimization tasks. This work presents the development and usage of an accurate CAD model of a mouse that has been optimized for use in computational electromagnetic modeling in any frequency range. It is based on the labeled atlas data of the Digimouse archive. The model includes a relatively accurate four-compartment brain representation (the 'whole brain' according to the original terminology, external cerebrum, cerebellum, and striatum [9]) and contains 21 distinct compartments in total. Four examples of low- and high frequency modeling have been considered to demonstrate the utility and applicability of the model.
    MeSH term(s) Mice ; Rats ; Animals ; Brain Mapping/methods ; Brain/diagnostic imaging ; Brain/physiology ; Transcranial Magnetic Stimulation/methods ; Head ; Electromagnetic Phenomena ; Disease Models, Animal
    Language English
    Publishing date 2023-11-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2057-1976
    ISSN (online) 2057-1976
    DOI 10.1088/2057-1976/ad0e14
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Influence of charges deposited on membranes of human hyperdirect pathway axons on depolarization during subthalamic deep brain stimulation.

    Makaroff, Sergey N / Nummenmaa, Aapo R / Noetscher, Gregory M / Qi, Zhen / McIntyre, Cameron C / Bingham, Clayton S

    Journal of neural engineering

    2023  Volume 20, Issue 4

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Subthalamic Nucleus/physiology ; Deep Brain Stimulation/methods ; Axons/physiology ; Neurons/physiology ; Parkinson Disease/therapy
    Language English
    Publishing date 2023-07-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/ace5de
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6071: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: Estimations of Charge Deposition Onto Convoluted Axon Surfaces Within Extracellular Electric Fields.

    Noetscher, Gregory M / Tang, Dexuan / Nummenmaa, Aapo R / Bingham, Clayton S / McIntyre, Cameron C / Makaroff, Sergey N

    IEEE transactions on bio-medical engineering

    2023  Volume 71, Issue 1, Page(s) 307–317

    Abstract: Objective: Biophysical models of neural stimulation are a valuable approach to explaining the mechanisms of neuronal recruitment via applied extracellular electric fields. Typically, the applied electric field is estimated via a macroscopic finite ... ...

    Abstract Objective: Biophysical models of neural stimulation are a valuable approach to explaining the mechanisms of neuronal recruitment via applied extracellular electric fields. Typically, the applied electric field is estimated via a macroscopic finite element method solution and then applied to cable models as an extracellular voltage source. However, the field resolution is limited by the finite element size (typically 10's-100's of times greater than average neuronal cross-section). As a result, induced charges deposited onto anatomically realistic curved membrane interfaces are not taken into consideration. However, these details may alter estimates of the applied electric field and predictions of neural tissue activation.
    Methods: To estimate microscopic variations of the electric field, data for intra-axonal space segmented from 3D scanning electron microscopy of the mouse brain genu of corpus callosum were used. The boundary element fast multipole method was applied to accurately compute the extracellular solution. Neuronal recruitment was then estimated via an activating function.
    Results: Taking the physical structure of the arbor into account generally predicts higher values of the activating function. The relative integral 2-norm difference is 90% on average when the entire axonal arbor is present. A large fraction of this difference might be due to the axonal body itself. When an isolated physical axon is considered with all other axons removed, the relative integral 2-norm difference between the single-axon solution and the complete solution is 25% on average.
    Conclusion: Our result may provide an explanation as to why Deep Brain Stimulation experiments typically predict lower activation thresholds than commonly used FEM/Cable model approaches to predicting neuronal responses to extracellular electrical stimulation.
    Significance: These results may change methods for bi-domain neural modeling and neural excitation.
    MeSH term(s) Animals ; Mice ; Axons/physiology ; Neurons/physiology ; Electric Stimulation/methods ; Models, Neurological
    Language English
    Publishing date 2023-12-25
    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.2023.3299734
    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. Article ; Online: A Simulation Platform to Study the Human Body Communication Channel.

    Krhac, Katjana / Sayrafian, Kamran / Noetscher, Gregory / Simunic, Dina

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2019  Volume 2019, Page(s) 4040–4043

    Abstract: Human Body Communication (HBC) is an attractive low complexity technology with promising applications in wearable biomedical sensors. In this paper, a simple parametric model based on the finite-element method (FEM) using a full human body model is ... ...

    Abstract Human Body Communication (HBC) is an attractive low complexity technology with promising applications in wearable biomedical sensors. In this paper, a simple parametric model based on the finite-element method (FEM) using a full human body model is developed to virtually emulate and examine the HBC channel. FEM allows better modeling and quantification of the underlying physical phenomena including the impact of the human body for the desired applications. By adjusting the parameters of the model, a good match with the limited measurement results in the literature is observed. Having a flexible and customizable simulation platform could be very helpful to better understand the communication medium for capacitively coupled electrodes in HBC. This knowledge, in turn, leads to better transceiver design for given applications. The platform presented here can also be extended to study communication channel characteristics when the HBC mechanism is used by an implant device.
    MeSH term(s) Computer Simulation ; Electrodes ; Finite Element Analysis ; Human Body ; Humans ; Wearable Electronic Devices ; Wireless Technology
    Language English
    Publishing date 2019-12-30
    Publishing country United States
    Document type Journal Article
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC.2019.8857883
    Database MEDical Literature Analysis and Retrieval System OnLINE

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