Hemm-Ode, Simone

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Hemm-Ode
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Simone
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Hemm-Ode, Simone

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2020 - 20235
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Typ: 04B - Beitrag Konferenzschrift ×

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  • Vorschaubild nicht verfügbar
    Publikation
    Experimental assessment of the performances of an anisotropic magnetoresistive sensor after exposure to strong magnetic fields
    (IEEE, 2023) Vergne, Céline; Nicolas, Hugo; Madec, Morgan; Hemm-Ode, Simone; Guzman, Raphael; Pascal, Joris [in: 2023 IEEE International Magnetic Conference - Short Papers (INTERMAG Short Papers)]
    On-chip magnetometers are already integrated within long-term implants such as cardiac implantable electronic devices. They are also good candidates to be integrated within the next generations of brain stimulation electrodes to provide their position and orientation. In all cases, long-term implants are expected to be at least certified as MRI conditional. We investigated the resilience to the exposure to 3 T and 7 T of an anisotropic magnetoresistive sensor integrating a set/reset function. The sensitivity, non-linearity, and offset of a batch of 63 identical sensors were not affected by the exposure. These preliminary results provide new insights on the usability of magnetoresistive sensors for biomedical applications requiring MRI conditionality.
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Evaluation of the Potential of Automatic Naming Latency Detection for Different Initial Phonemes during Picture Naming Task
    (IEEE, 11/2021) Park, Sung Hea; Altermatt, Sven; Widmer Beierlein, Sandra; Blechschmidt, Anja; Reymond, Claire; Degen, Markus; Rickert, Eliane; Wyss, Sandra; Kuntner, Katrin Petra; Hemm-Ode, Simone [in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)]
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Atlas Optimization for Deep Brain Stimulation
    (IFMBE, 30.11.2020) Vogel, Dorian; Wardell, Karin; Coste, Jérôme; Lemaire, Jean-Jaques; Hemm-Ode, Simone; Jarm, Tomaz; Cvetkoska, Aleksandra; Mahnič-Kalamiza, Samo; Miklavcic, Damijan [in: EMBEC 2020: 8th European Medical and Biological Engineering]
    Abstract : Electrical stimulation of the deep parts of the brain is the standard answer for patients subject to drug-refractory movement disorders. Collective analysis of data collected during surgeries are crucial in order to provide more systematic planning assistance and understanding the physiological mechanisms of action. To that end, the process of normalizing anatomies captured with Magnetic Resonance imaging across patients is a key component. In this work, we present the optimization of a workflow designed to create group-specific anatomical templates: a group template is refined iteratively using the results of successive non-linear image registrations with refinement steps in the in the basal-ganglia area. All non-linear registrations were executed using the Advanced Normalization Tools (ANTs) and the quality of the nor-malization was measured using spacial overlap of anatomical structures manually delineated during the planning of the surgery. The parameters of the workflow evaluated were: the use of multiple modalities sequentially or together during each registration to the template, the number of iterations in the template creation and the fine settings of the non-linear registration tool. Using the T1 and white matter attenuated inverse recovery modalities (WAIR) together produced the best results, especially in the center of the brain. The optimal numbers of iterations of the template creation were higher than those from the literature and our previous works. Finally, the setting of the non-linear registration tool that improved results the most was the activation of the registration with the native voxel sizes of images, as opposed to down-sampled version of the images. The normalization process was optimized over our previous study and allowed to obtain the best possible anatomical nor-malization of this specific group of patient. It will be used to summarize and analyze peri-operative measurements during test stimulation. The aim is that the conclusions obtained from this analysis will be useful for assistance during the planning of new surgeries.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Automatic detection of naming latency from aphasia patients – using an extended threshold-based method
    (Založba FE, 11/2020) Altermatt, Sven; Kuntner, Katrin Petra; Rickert, Eliane; Wyss, Sandra; Degen, Markus; Reymond, Claire; Widmer Beierlein, Sandra; Blechschmidt, Anja; Hemm-Ode, Simone; Jarm, Tomaz; Mahnič-Kalamiza, Samo; Cvetkoska, Aleksandra; Miklavcic, Damijan [in: 8th European Medical and Biological Engineering Conference. Conf Proc EMBEC Nov 2020]
    04B - Beitrag Konferenzschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Patient-friendly speech recognition feedback for aphasia patients
    (Založba FE, 11/2020) Wyss, Sandra; Rickert, Eliane; Altermatt, Sven; Kuntner, Katrin Petra; Degen, Markus; Reymond, Claire; Widmer Beierlein, Sandra; Blechschmidt, Anja; Hemm-Ode, Simone; Jarm, Tomaz; Mahnič-Kalamiza, Samo; Cvetkoska, Aleksandra; Miklavcic, Damijan [in: 8th European Medical and Biological Engineering Conference. Conf Proc EMBEC Nov 2020]
    04B - Beitrag Konferenzschrift