Christoph Hintermüller

Johannes Kepler University

Dr. Christoph Hintermüller received his diploma in electrical and biomedical engineering from the University of Technology Graz in 2003 and his doctoral degree in medical informatics in 2006 from the Institute for Biomedical Engineering at the Private University for Health Sciences, Medical Informatics and Technology (UMIT) in Hall in Tyrol. He worked as a postdoctoral researcher at the laboratory for Tomographic Microscopy and Coherent Radiology Experiments of the Swiss Light Source at the Paul Scherrer Institute in Villigen, Switzerland. In 2010, he joined Guger Technologies OG as project manager and Chief Research Officer (since 2013). In 2017 he started his own research group at the Institute of Biomedical Mechatronics of the Johannes Kepler University Linz. His research interests include the development, and evaluation of tools, methods and systems for non-invasive biosignal and image processing. Thereby he has a strong interest in the identification and evaluation of appropriate clinical use-cases.

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Latest work with IntechOpen by Christoph Hintermüller

Personal health and well-being was and is important for all individuals. This includes the way people are living, what they do to stay healthy as well as a profound, well-informed diagnosis and appropriate treatment in case of disease. To achieve these goals, modern medicine is provided with a large variety of tools to assess a patient's health state and collect the information required for a proper diagnosis and treatment, which is tailored to the patient's needs. Many of these available tools use signals either generated by the human body, for example, electroencephalogram (EEG) and electrocardiogram (ECG), or by interacting with the human body while traversing it like microwaves or reflected visible light that is recorded by a video camera. The biosignals recorded by the available and newly developed methods have to be processed to extract the information about the patient's condition and, analyzed tissue and cells. This book presents a small selection of the recent developments in the field of biosignal processing. The covered diagnostic tools and methods include the assessment of respiratory state through gait analysis, the contactless monitoring of cardiovascular and respiratory parameters using microwaves, a non-linear approach to extract the fetal ECG from non-invasive abdominal recordings, identification of epileptic networks from pre-surgical neurophysiological recordings and an improved method to obtain and validate the copy number alterations parameter, which are considered an important marker in cancer classification.

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