Suchergebnis: Katalogdaten im Herbstsemester 2017

Gesundheitswissenschaften und Technologie Master Information
Vertiefung in Medizintechnik
Wahlfächer
Wahlfächer II
NummerTitelTypECTSUmfangDozierende
151-0255-00LEnergy Conversion and Transport in BiosystemsW4 KP2V + 1UA. Ferrari
KurzbeschreibungTheorie und Anwendung von Thermodynamik und Energieerhaltung in biologischen Systemen mit Schwerpunkt auf Zellebene.
LernzielTheorie und Anwendung von Energieerhaltung auf Zellebene. Verständnis für die grundlegenden Stofftransport-Kreisläufe in menschlichen Zellen und die Mechanismen, welche diese Kreisläufe beeinflussen. Parallelen zu anderen Gebieten im Ingenieurswesen erkennen. Wärme- und Massentransport Prozesse in der Zelle, Kraft Entwicklung der Zelle, und die Verbindung zu modernen biomedizinischen Technologien.
InhaltMassentransportmodelle für den Transport von chemischen Spezies in der menschlichen Zelle. Organisation und Funktion der Zellmembran und des Zytoskeletts. Die Rolle molekularer Motoren in der Kraftentwicklung der Zelle und deren Funktion in der Fortbewegung der Zelle. Beschreibung der Funktionsweise dieser Systeme sowie der experimentellen Analyse und Simulationen um sie besser zu verstehen. Einführung in den Zell-Metabolismus, Zell-Energietransport und die Zelluläre Thermodynamik.
SkriptKursmaterial wird in Form von Hand-outs verteilt.
LiteraturNotizen sowie Referenzen aus der Vorlesung.
151-0604-00LMicrorobotics Information W4 KP3GB. Nelson
KurzbeschreibungMicrorobotics is an interdisciplinary field that combines aspects of robotics, micro and nanotechnology, biomedical engineering, and materials science. The aim of this course is to expose students to the fundamentals of this emerging field. Throughout the course students are expected to submit assignments. The course concludes with an end-of-semester examination.
LernzielThe objective of this course is to expose students to the fundamental aspects of the emerging field of microrobotics. This includes a focus on physical laws that predominate at the microscale, technologies for fabricating small devices, bio-inspired design, and applications of the field.
InhaltMain topics of the course include:
- Scaling laws at micro/nano scales
- Electrostatics
- Electromagnetism
- Low Reynolds number flows
- Observation tools
- Materials and fabrication methods
- Applications of biomedical microrobots
SkriptThe powerpoint slides presented in the lectures will be mad available as pdf files. Several readings will also be made available electronically.
Voraussetzungen / BesonderesThe lecture will be taught in English.
227-0385-10LBiomedical ImagingW6 KP5GS. Kozerke, K. P. Prüssmann
KurzbeschreibungIntroduction and analysis of medical imaging technology including X-ray procedures, computed tomography, nuclear imaging techniques using single photon and positron emission tomography, magnetic resonance imaging and ultrasound imaging techniques.
LernzielTo understand the physical and technical principles underlying X-ray imaging, computed tomography, single photon and positron emission tomography, magnetic resonance imaging, ultrasound and Doppler imaging techniques. The mathematical framework is developed to describe image encoding/decoding, point-spread function/modular transfer function, signal-to-noise ratio, contrast behavior for each of the methods. Matlab exercises are used to implement and study basic concepts.
Inhalt- X-ray imaging
- Computed tomography
- Single photon emission tomography
- Positron emission tomography
- Magnetic resonance imaging
- Ultrasound/Doppler imaging
SkriptLecture notes and handouts
LiteraturWebb A, Smith N.B. Introduction to Medical Imaging: Physics, Engineering and Clinical Applications; Cambridge University Press 2011
Voraussetzungen / BesonderesAnalysis, Linear Algebra, Physics, Basics of Signal Theory, Basic skills in Matlab programming
227-0391-00LMedical Image Analysis
Findet dieses Semester nicht statt.
W3 KP2GE. Konukoglu
KurzbeschreibungIt is the objective of this lecture to introduce the basic concepts used
in Medical Image Analysis. In particular the lecture focuses on shape
representation schemes, segmentation techniques, and the various image registration methods commonly used in Medical Image Analysis applications.
LernzielThis lecture aims to give an overview of the basic concepts of Medical Image Analysis and its application areas.
Voraussetzungen / BesonderesBasic knowledge of computer vision would be helpful.
227-0393-10LBioelectronics and BiosensorsW6 KP2V + 2UJ. Vörös, M. F. Yanik, T. Zambelli
KurzbeschreibungThe course introduces the concepts of bioelectricity and biosensing. The sources and use of electrical fields and currents in the context of biological systems and problems are discussed. The fundamental challenges of measuring biological signals are introduced. The most important biosensing techniques and their physical concepts are introduced in a quantitative fashion.
LernzielDuring this course the students will:
- learn the basic concepts in biosensing and bioelectronics
- be able to solve typical problems in biosensing and bioelectronics
- learn about the remaining challenges in this field
InhaltL1. Bioelectronics history, its applications and overview of the field
- Volta and Galvani dispute
- BMI, pacemaker, cochlear implant, retinal implant, limb replacement devices
- Fundamentals of biosensing
- Glucometer and ELISA

L2. Fundamentals of quantum and classical noise in measuring biological signals

L3. Biomeasurement techniques with photons

L4. Acoustics sensors
- Differential equation for quartz crystal resonance
- Acoustic sensors and their applications

L5. Engineering principles of optical probes for measuring and manipulating molecular and cellular processes

L6. Optical biosensors
- Differential equation for optical waveguides
- Optical sensors and their applications
- Plasmonic sensing

L7. Basic notions of molecular adsorption and electron transfer
- Quantum mechanics: Schrödinger equation energy levels from H atom to crystals, energy bands
- Electron transfer: Marcus theory, Gerischer theory

L8. Potentiometric sensors
- Fundamentals of the electrochemical cell at equilibrium (Nernst equation)
- Principles of operation of ion-selective electrodes

L9. Amperometric sensors and bioelectric potentials
- Fundamentals of the electrochemical cell with an applied overpotential to generate a faraday current
- Principles of operation of amperometric sensors
- Ion flow through a membrane (Fick equation, Nernst equation, Donnan equilibrium, Goldman equation)

L10. Channels, amplification, signal gating, and patch clamp Y4

L11. Action potentials and impulse propagation

L12. Functional electric stimulation and recording
- MEA and CMOS based recording
- Applying potential in liquid - simulation of fields and relevance to electric stimulation

L13. Neural networks memory and learning
LiteraturPlonsey and Barr, Bioelectricity: A Quantitative Approach (Third edition)
Voraussetzungen / BesonderesSupervised exercises solving real-world problems. Some Matlab based exercises in groups.
227-0447-00LImage Analysis and Computer Vision Information W6 KP3V + 1UL. Van Gool, O. Göksel, E. Konukoglu
KurzbeschreibungLight and perception. Digital image formation. Image enhancement and feature extraction. Unitary transformations. Color and texture. Image segmentation and deformable shape matching. Motion extraction and tracking. 3D data extraction. Invariant features. Specific object recognition and object class recognition.
LernzielOverview of the most important concepts of image formation, perception and analysis, and Computer Vision. Gaining own experience through practical computer and programming exercises.
InhaltThe first part of the course starts off from an overview of existing and emerging applications that need computer vision. It shows that the realm of image processing is no longer restricted to the factory floor, but is entering several fields of our daily life. First it is investigated how the parameters of the electromagnetic waves are related to our perception. Also the interaction of light with matter is considered. The most important hardware components of technical vision systems, such as cameras, optical devices and illumination sources are discussed. The course then turns to the steps that are necessary to arrive at the discrete images that serve as input to algorithms. The next part describes necessary preprocessing steps of image analysis, that enhance image quality and/or detect specific features. Linear and non-linear filters are introduced for that purpose. The course will continue by analyzing procedures allowing to extract additional types of basic information from multiple images, with motion and depth as two important examples. The estimation of image velocities (optical flow) will get due attention and methods for object tracking will be presented. Several techniques are discussed to extract three-dimensional information about objects and scenes. Finally, approaches for the recognition of specific objects as well as object classes will be discussed and analyzed.
SkriptCourse material Script, computer demonstrations, exercises and problem solutions
Voraussetzungen / BesonderesPrerequisites:
Basic concepts of mathematical analysis and linear algebra. The computer exercises are based on Linux and C.
The course language is English.
227-0965-00LMicro and Nano-Tomography of Biological TissuesW4 KP3GM. Stampanoni, P. A. Kaestner
KurzbeschreibungEinführung in die physikalischen und technischen Grundkenntnisse der tomographischen Röntgenmikroskopie. Verschiedene Röntgenbasierten-Abbildungsmechanismen (Absorptions-, Phasen- und Dunkelfeld-Kontrast) werden erklärt und deren Einsatz in der aktuellen Forschung vorgestellt, insbesondere in der Biologie. Die quantitative Auswertung tomographische Datensätzen wird ausführlich beigebracht.
LernzielEinführung in die Grundlagen der Röntgentomographie auf der Mikrometer- und Nanometerskala, sowie in die entsprechenden Bildbearbeitungs- und Quantifizierungsmethoden, unter besonderer Berücksichtigung von biologischen Anwendungen.
InhaltSynchrotron basierte Röntgenmikro- und Nanotomographie ist heutzutage eine leistungsfähige Technik für die hochaufgelösten zerstörungsfreien Untersuchungen einer Vielfalt von Materialien. Die aussergewöhnlichen Stärke und Kohärenz der Strahlung einer Synchrotronquelle der dritten Generation erlauben quantitative drei-dimensionale Aufnahmen auf der Mikro- und Nanometerskala und erweitern die klassischen Absorption-basierten Verfahrensweisen auf die kontrastreicheren kantenverstärkten und phasenempfindlichen Methoden, die für die Analyse von biologischen Proben besonders geeignet sind.

Die Vorlesung umfasst eine allgemeine Einführung in die Grundsätze der Röntgentomographie, von der Bildentstehung bis zur 3D Bildrekonstruktion. Sie liefert die physikalischen und technischen Grundkentnisse über die bildgebenden Synchrotronstrahllinien, vertieft die neusten Phasenkontrastmethoden und beschreibt die ersten Anwendungen nanotomographischer Röntgenuntersuchungen.

Schliesslich liefert der Kurs den notwendigen Hintergrund, um die quantitative Auswertung tomographischer Daten zu verstehen, von der grundlegenden Bildanalyse bis zur komplexen morphometrischen Berechnung und zur 3D-Visualisierung, unter besonderer Berücksichtigung von biomedizinischen Anwendungen.
SkriptOnline verfügbar
LiteraturWird in der Vorlesung angegeben.
227-0969-00LMethods & Models for fMRI Data Analysis Information W6 KP4VK. Stephan
KurzbeschreibungThis course teaches methods and models for fMRI data analysis, covering all aspects of statistical parametric mapping (SPM), incl. preprocessing, the general linear model, statistical inference, multiple comparison corrections, event-related designs, and Dynamic Causal Modelling (DCM), a Bayesian framework for identification of nonlinear neuronal systems from neurophysiological data.
LernzielTo obtain in-depth knowledge of the theoretical foundations of SPM
and DCM and of their application to empirical fMRI data.
InhaltThis course teaches state-of-the-art methods and models for fMRI data analysis. It covers all aspects of statistical parametric mapping (SPM), incl. preprocessing, the general linear model, frequentist and Bayesian inference, multiple comparison corrections, and event-related designs, and Dynamic Causal Modelling (DCM), a Bayesian framework for identification of nonlinear neuronal systems from neurophysiological data. A particular emphasis of the course will be on methodological questions arising in the context of studies in psychiatry, neurology and neuroeconomics.
327-0505-00LSurfaces, Interfaces and their Applications I Information W3 KP2V + 1UN. Spencer, M. P. Heuberger, L. Isa
KurzbeschreibungAfter being introduced to the physical/chemical principles and importance of surfaces and interfaces, the student is introduced to the most important techniques that can be used to characterize surfaces. Later, liquid interfaces are treated, followed by an introduction to the fields of tribology (friction, lubrication, and wear) and corrosion.
LernzielTo gain an understanding of the physical and chemical principles, as well as the tools and applications of surface science, and to be able to choose appropriate surface-analytical approaches for solving problems.
InhaltIntroduction to Surface Science
Physical Structure of Surfaces
Surface Forces (static and dynamic)
Adsorbates on Surfaces
Surface Thermodynamics and Kinetics
The Solid-Liquid Interface
Electron Spectroscopy
Vibrational Spectroscopy on Surfaces
Scanning Probe Microscopy
Introduction to Tribology
Introduction to Corrosion Science
SkriptScript Download:
Link
LiteraturScript (20 CHF)
Book: "Surface Analysis--The Principal Techniques", Ed. J.C. Vickerman, Wiley, ISBN 0-471-97292
Voraussetzungen / BesonderesChemistry:
General undergraduate chemistry
including basic chemical kinetics and thermodynamics

Physics:
General undergraduate physics
including basic theory of diffraction and basic knowledge of crystal structures
327-2125-00LMicroscopy Training SEM I - Introduction to SEM Belegung eingeschränkt - Details anzeigen
Number of participants limited to 9.

Master students will have priority over PhD students. PhD students may still enrol, but will be asked for a fee (Link).
W2 KP3PS. Rodighiero, A. G. Bittermann, L. Grafulha Morales, K. Kunze, J. Reuteler
KurzbeschreibungDer Einführungskurs in Rasterelektronenmikroskopie (SEM) betont praktisches Lernen. Die Studierenden haben die Möglichkeit an zwei Elektronenmikroskopen ihre eigenen Proben oder Standard-Testproben zu untersuchen, sowie von ScopeM-Wissenschafler vorbereitete Übungen zu lösen.
Lernziel- Set-up, align and operate a SEM successfully and safely.
- Accomplish imaging tasks successfully and optimize microscope performances.
- Master the operation of a low-vacuum and field-emission SEM and EDX instrument.
- Perform sample preparation with corresponding techniques and equipment for imaging and analysis
- Acquire techniques in obtaining secondary electron and backscatter electron micrographs
- Perform EDX qualitative and semi-quantitative analysis
InhaltDuring the course, students learn through lectures, demonstrations, and hands-on sessions how to setup and operate SEM instruments, including low-vacuum and low-voltage applications.
This course gives basic skills for students new to SEM. At the end of the course, students with no prior experience are able to align a SEM, to obtain secondary electron (SE) and backscatter electron (BSE) micrographs and to perform energy dispersive X-ray spectroscopy (EDX) qualitative and semi-quantitative analysis. The procedures to better utilize SEM to solve practical problems and to optimize SEM analysis for a wide range of materials will be emphasized.

- Discussion of students' sample/interest
- Introduction and discussion on Electron Microscopy and instrumentation
- Lectures on electron sources, electron lenses and probe formation
- Lectures on beam/specimen interaction, image formation, image contrast and imaging modes.
- Lectures on sample preparation techniques for EM
- Brief description and demonstration of the SEM microscope
- Practice on beam/specimen interaction, image formation, image contrast (and image processing)
- Student participation on sample preparation techniques
- Scanning Electron Microscopy lab exercises: setup and operate the instrument under various imaging modalities
- Lecture and demonstrations on X-ray micro-analysis (theory and detection), qualitative and semi-quantitative EDX and point analysis, linescans and spectral mapping
- Practice on real-world samples and report results
Literatur- Detailed course manual
- Williams, Carter: Transmission Electron Microscopy, Plenum Press, 1996
- Hawkes, Valdre: Biophysical Electron Microscopy, Academic Press, 1990
- Egerton: Physical Principles of Electron Microscopy: an introduction to TEM, SEM and AEM, Springer Verlag, 2007
Voraussetzungen / BesonderesNo mandatory prerequisites. Please consider the prior attendance to EM Basic lectures (551- 1618-00V; 227-0390-00L; 327-0703-00L) as suggested prerequisite.
327-2126-00LMicroscopy Training TEM I - Introduction to TEM Belegung eingeschränkt - Details anzeigen
Number of participants limited to 6.

Master students will have priority over PhD students. PhD students may still enrol, but will be asked for a fee (Link).
W2 KP3PS. Rodighiero, E. J. Barthazy Meier, A. G. Bittermann, F. Gramm
KurzbeschreibungDer Einführungskurs in Transmissionselektronenmikroskopie (TEM) bietet neuen Nutzern die Möglichkeit theoretisches Wissen und praktische Kenntnisse in TEM zu erwerben
Lernziel- Overview of TEM theory, instrumentation, operation and applications.
- Alignment and operation of a TEM, as well as acquisition and interpretation of images, diffraction patterns, accomplishing basic tasks successfully.
- Knowledge of electron imaging modes (including Scanning Transmission Electron Microscopy), magnification calibration, and image acquisition using CCD cameras.
- To set up the TEM to acquire diffraction patterns, perform camera length calibration, as well as measure and interpret diffraction patterns.
- Overview of techniques for specimen preparation.
InhaltUsing two Transmission Electron Microscopes the students learn how to align a TEM, select parameters for acquisition of images in bright field (BF) and dark field (DF), perform scanning transmission electron microscopy (STEM) imaging, phase contrast imaging, and acquire electron diffraction patterns. The participants will also learn basic and advanced use of digital cameras and digital imaging methods.

- Introduction and discussion on Electron Microscopy and instrumentation.
- Lectures on electron sources, electron lenses and probe formation.
- Lectures on beam/specimen interaction, image formation, image contrast and imaging modes.
- Lectures on sample preparation techniques for EM.
- Brief description and demonstration of the TEM microscope.
- Practice on beam/specimen interaction, image formation, Image contrast (and image processing).
- Demonstration of Transmission Electron Microscopes and imaging modes (Phase contrast, BF, DF, STEM).
- Student participation on sample preparation techniques.
- Transmission Electron Microscopy lab exercises: setup and operate the instrument under various imaging modalities.
- TEM alignment, calibration, correction to improve image contrast and quality.
- Electron diffraction.
- Practice on real-world samples and report results.
Literatur- Detailed course manual
- Williams, Carter: Transmission Electron Microscopy, Plenum Press, 1996
- Hawkes, Valdre: Biophysical Electron Microscopy, Academic Press, 1990
- Egerton: Physical Principles of Electron Microscopy: an introduction to TEM, SEM and AEM, Springer Verlag, 2007
Voraussetzungen / BesonderesNo mandatory prerequisites. Please consider the prior attendance to EM Basic lectures (551- 1618-00V; 227-0390-00L; 327-0703-00L) as suggested prerequisite.
363-0790-00LTechnology Entrepreneurship Information W2 KP2VU. Claesson, B. Clarysse
KurzbeschreibungTechnology ventures are significantly changing the global economic picture. Technological skills increasingly need to be complemented by entrepreneurial understanding.
This course offers the fundamentals in theory and practice of entrepreneurship in new technology ventures. Main topics covered are success factors in the creation of new firms, including founding, financing and growing a venture.
LernzielThis course provides theory-grounded knowledge and practice-driven skills for founding, financing, and growing new technology ventures. A critical understanding of dos and don'ts is provided through highlighting and discussing real life examples and cases.
InhaltSee course website: Link
SkriptLecture slides and case material
363-1065-00LDesign Thinking: Human-Centred Solutions to Real World Challenges Belegung eingeschränkt - Details anzeigen
Due to didactic reasons, the number of participants is limited to 30.

All interested students are invited to apply for this course by sending a by sending a short motivation letter until the 18 of September 2017 to Florian Rittiner (Link).

Additionally please enroll via mystudies. Please note that all students are put on the waiting list and that your current position on the waiting list is irrelevant, as places will be assigned after the first lecture on the basis of your motivation letter and commitment for the class.
W5 KP5GA. Cabello Llamas, F. Rittiner, S. Brusoni, C. Hölscher, M. Meboldt
KurzbeschreibungThe goal of this course is to engage students in a multidisciplinary collaboration to tackle real world problems. Following a design thinking approach, students will work in teams to solve a set of design challenges that are organized as a one-week, a three-week, and a final six-week project in collaboration with an external project partner.

Information and application: Link
LernzielDuring the course, students will learn about different design thinking methods and tools. This will enable them to:
- Generate deep insights through the systematic observation and interaction of key stakeholders (empathy).
- Engage in collaborative ideation with a multidisciplinary team.
- Rapidly prototype and iteratively test ideas and concepts by using various materials and techniques.
InhaltThe purpose of this course is to equip the students with methods and tools to tackle a broad range of problems. Following a Design Thinking approach, the students will learn how to observe and interact with key stakeholders in order to develop an in-depth understanding of what is truly important and emotionally meaningful to the people at the center of a problem. Based on these insights, the students ideate on possible solutions and immediately validated them through quick iterations of prototyping and testing using different tools and materials. The students will work in multidisciplinary teams on a set of challenges that are organized as a one-week, a three-week, and a final six-week project with an external project partner. In this course, the students will learn about the different Design Thinking methods and tools that are needed to generate deep insights, to engage in collaborative ideation, rapid prototyping and iterative testing.

Design Thinking is a deeply human process that taps into the creative abilities we all have, but that get often overlooked by more conventional problem solving practices. It relies on our ability to be intuitive, to recognize patterns, to construct ideas that are emotionally meaningful as well as functional, and to express ourselves through means beyond words or symbols. Design Thinking provides an integrated way by incorporating tools, processes and techniques from design, engineering, the humanities and social sciences to identify, define and address diverse challenges. This integration leads to a highly productive collaboration between different disciplines.

For more information and the application visit: Link
Voraussetzungen / BesonderesOpen mind, ability to manage uncertainty and to work with students from various background. Class attendance and active participation is crucial as much of the learning occurs through the work in teams during class. Therefore, attendance is obligatory for every session. Please also note that the group work outside class is an essential element of this course, so that students must expect an above-average workload.

Please note that the class is designed for full-time MSc students. Interested MAS students need to send an email to Florian Rittiner (Link) to learn about the requirements of the class.
376-0121-00LMultiscale Bone Biomechanics Belegung eingeschränkt - Details anzeigen
Number of participants limited to 25.
W6 KP4SR. Müller
KurzbeschreibungThe seminar provides state-of-the-art insight to the biomechanical function of bone from molecules, to cells, tissue and up to the organ. Multiscale imaging and simulation allows linking different levels of hierarchy, where systems biology helps understanding the mechanobiological response of bone to loading and injury in scenarios relevant for personalized health and translational medicine.
LernzielThe learning objectives include 1. advanced knowledge of the state-of-the-are in multiscale bone biomechanics; 2. basic understanding of the biological principles governing bone in health, disease and treatment from molecules, to cells, tissue and up to the organ; 3. good understanding of the prevalent biomechanical testing and imaging techniques on the various levels of bone hierarchy; 4. practical implementation of state-of-the-art multiscale simulation techniques; 5. improved programing skills through the use of 4th generation scripting language; 6. hands on experience in designing solutions for clinical and industrial problems; 7. encouragement of critical thinking and creating an environment for independent and self-directed studying.
InhaltBone is one of the most investigated biological materials due to its primary function of providing skeletal stability. Bone is susceptible to different local stimuli including mechanical forces and has great capabilities in adapting its mechanical properties to the changes in its environment. Nevertheless, aging or hormonal changes can make bone lose its ability to remodel appropriately, with loss of strength and increased fracture risk as a result, leading to devastating diseases such as osteoporosis. To better understand the biomechanical function of bone, one has to understand the hierarchical organization of this fascinating material down from the molecules, to the cells, tissue and up to the organ. Multiscale imaging and simulation allows to link these different levels of hierarchy. Incorporating systems biology approaches, not only biomechanical strength of the material can be assessed but also the mechanobiological response of the bone triggered by loading and injury in scenarios relevant for personalized health and translational medicine. Watching cells working together to build and repair bone in a coordinated fashion is a spectacle, which will need dynamic image content and deep discussions in the lecture room to probe the imagination of the individual student interested in the topic.

For the seminar, concepts of video lectures will be used in a flipped class room setup, where students can study the basic biology, engineering and mathematical concepts in video tutorials online. All videos and animations will be incorporated in an eSkript (eskript.ethz.ch) allowing studying and eventually even interactive course participation online. It is anticipated that the students need to prepare 2x45 minutes for the study of the actual lecture material. The Friday morning time slots will be used for students, who want to complete these assignments in a classroom setting. The student will have to study independently or in groups, but lecturer will be available for questions and answers during that time. In the Friday afternoon time slots, short clips with video/animation content will be used to introduce problems and discuss specific scientific findings using multiscale imaging and simulation technology. The students will have to form small groups to try to solve such problems and to present their solutions for advanced multiscale investigation of bone ranging from basic science to personalized health and onto translational medicine.
SkriptMaterial will be provided in Moodle and eScript (eskript.ethz.ch).
Voraussetzungen / BesonderesSeminar will be held in English.
376-1151-00LTranslation of Basic Research Findings from Genetics and Molecular Mechanisms of Aging Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
W3 KP2VC. Ewald
KurzbeschreibungRecently, several start-up companies are aiming to translate basic molecular findings into new drugs/therapeutic interventions to slow aging or post-pone age-related diseases (e.g., Google founded Calico or Craig Venter's Human Longevity, Inc.). This course will teach students the basic skill sets to formulate their own ideas, design experiments to test them and explains the next steps to translat
LernzielThe overall goal of this course is to be able to analyse current therapeutic interventions to identify an unmet need in molecular biology of aging and apply scientific thinking to discover new mechanisms that could be used as a novel therapeutic intervention.
Learning objectives include:
1. Evaluate the current problem of our aging population, the impact of age-dependent diseases and current strategies to prevent these age-dependent diseases.
2. Analyse/compare current molecular/genetic strategies that address these aging problems.
3. Analyse case studies about biotech companies in the aging sector. Apply the scientific methods to formulate basic research questions to address these problems.
4. Generate own hypotheses (educated guess/idea), design experiments to test them, and map out the next steps to translate them.
InhaltOverview of aging and age-related diseases. Key discoveries in molecular biology of aging. Case studies of biotech companies addressing age-related complications. Brief introduction from bench to bedside with focus on start-up companies.
Voraussetzungen / BesonderesNo compulsory prerequisites, but student should have basic knowledge about genetics and molecular biology.
376-1103-00LFrontiers in NanotechnologyW4 KP4VV. Vogel, weitere Dozierende
KurzbeschreibungMany disciplines are meeting at the nanoscale, from physics, chemistry to engineering, from the life sciences to medicine. The course will prepare students to communicate more effectively across disciplinary boundaries, and will provide them with deep insights into the various frontiers.
LernzielBuilding upon advanced technologies to create, visualize, analyze and manipulate nano-structures, as well as to probe their nano-chemistry, nano-mechanics and other properties within manmade and living systems, many exciting discoveries are currently made. They change the way we do science and result in so many new technologies.

The goal of the course is to give Master and Graduate students from all interested departments an overview of what nanotechnology is all about, from analytical techniques to nanosystems, from physics to biology. Students will start to appreciate the extent to which scientific communities are meeting at the nanoscale. They will learn about the specific challenges and what is currently “sizzling” in the respective fields, and learn the vocabulary that is necessary to communicate effectively across departmental boundaries.

Each lecturer will first give an overview of the state-of-the art in his/her field, and then describe the research highlights in his/her own research group. While preparing their Final Projects and discussing them in front of the class, the students will deepen their understanding of how to apply a range of new technologies to solve specific scientific problems and technical challenges. Exposure to the different frontiers will also improve their ability to conduct effective nanoscale research, recognize the broader significance of their work and to start collaborations.
InhaltStarting with the fabrication and analysis of nanoparticles and nanostructured materials that enable a variety of scientific and technical applications, we will transition to discussing biological nanosystems, how they work and what bioinspired engineering principles can be derived, to finally discussing biomedical applications and potential health risk issues. Scientific aspects as well as the many of the emerging technologies will be covered that start impacting so many aspects of our lives. This includes new phenomena in physics, advanced materials, novel technologies and new methods to address major medical challenges.
SkriptAll the enrolled students will get access to a password protected website where they can find pdf files of the lecture notes, and typically 1-2 journal articles per lecture that cover selected topics.
376-1177-00LHuman Factors IW3 KP2VM. Menozzi Jäckli, R. Huang, M. Siegrist
KurzbeschreibungEvery day humans interact with various systems. Strategies of interaction, individual needs, physical & mental abilities, and system properties are important factors in controlling the quality and performance in interaction processes. In the lecture, factors are investigated by basic scientific approaches. Discussed topics are important for optimizing people's satisfaction & overall performance.
LernzielThe goal of the lecture is to empower students in better understanding the applied theories, principles, and methods in various applications. Students are expected to learn about how to enable an efficient and qualitatively high standing interaction between human and the environment, considering costs, benefits, health, and safety as well. Thus, an ergonomic design and evaluation process of products, tasks, and environments may be promoted in different disciplines. The goal is achieved in addressing a broad variety of topics and embedding the discussion in macroscopic factors such as the behavior of consumers and objectives of economy.
Inhalt- Physiological, physical, and cognitive factors in sensation and perception
- Body spaces and functional anthropometry, Digital Human Models
- Experimental techniques in assessing human performance and well-being
- Human factors and ergonomics in system designs, product development and innovation
- Human information processing and biological cybernetics
- Interaction among consumers, environments, behavior, and tasks
Literatur- Gavriel Salvendy, Handbook of Human Factors and Ergonomics, 4th edition (2012), is available on NEBIS as electronic version and for free to ETH students
- Further textbooks are introduced in the lecture
- Brouchures, checklists, key articles etc. are uploaded in ILIAS
376-1179-00LApplications of Cybernetics in ErgonomicsW1 KP1UM. Menozzi Jäckli, Y.‑Y. Hedinger Huang, R. Huang
KurzbeschreibungCybernetics systems have been studied and applied in various research fields, such as applications in the ergonomics domain. Research interests include the man-machine interaction (MMI) topic which involving the performance in multi-model interactions, quantification in gestalt principles in product development; or the information processing matter.
LernzielTo learn and practice cybernetics principles in interface designs and product development.
Inhalt- Fitt's law applied in manipulation tasks
- Hick-Hyman law applied in design of the driver assistance systems - Vigilance applied in quality inspection
- Accommodation/vergence crosslink function
- Cross-link models in neurobiology- the ocular motor control system
- Human performance in optimization of production lines
LiteraturGavriel Salvendy, Handbook of Human Factors and Ergonomics, 4th edition (2012)
376-1219-00LRehabilitation Engineering II: Rehabilitation of Sensory and Vegetative FunctionsW3 KP2VR. Riener, O. Lambercy
KurzbeschreibungRehabilitation Engng is the application of science and technology to ameliorate the handicaps of individuals with disabilities to reintegrate them into society.The goal is to present classical and new rehabilitation engineering principles applied to compensate or enhance motor, sensory, and cognitive deficits. Focus is on the restoration and treatment of the human sensory and vegetative system.
LernzielProvide knowledge on the anatomy and physiology of the human sensory system, related dysfunctions and pathologies, and how rehabilitation engineering can provide sensory restoration and substitution.

This lecture is independent from Rehabilitation Engineering I. Thus, both lectures can be visited in arbitrary order.
InhaltIntroduction, problem definition, overview
Rehabilitation of visual function
- Anatomy and physiology of the visual sense
- Technical aids (glasses, sensor substitution)
- Retina and cortex implants
Rehabilitation of hearing function
- Anatomy and physiology of the auditory sense
- Hearing aids
- Cochlea Implants
Rehabilitation and use of kinesthetic and tactile function
- Anatomy and physiology of the kinesthetic and tactile sense
- Tactile/haptic displays for motion therapy (incl. electrical stimulation)
- Role of displays in motor learning
Rehabilitation of vestibular function
- Anatomy and physiology of the vestibular sense
- Rehabilitation strategies and devices (e.g. BrainPort)
Rehabilitation of vegetative Functions
- Cardiac Pacemaker
- Phrenic stimulation, artificial breathing aids
- Bladder stimulation, artificial sphincter
Brain stimulation and recording
- Deep brain stimulation for patients with Parkinson, epilepsy, depression
- Brain-Computer Interfaces
LiteraturIntroductory Books:

An Introduction to Rehabilitation Engineering. R. A. Cooper, H. Ohnabe, D. A. Hobson (Eds.). Taylor & Francis, 2007.

Principles of Neural Science. E. R. Kandel, J. H. Schwartz, T. M Jessell (Eds.). Mc Graw Hill, New York, 2000.

Force and Touch Feedback for Virtual Reality. G. C. Burdea (Ed.). Wiley, New York, 1996 (available on NEBIS).

Human Haptic Perception, Basics and Applications. M. Grunwald (Ed.). Birkhäuser, Basel, 2008.

The Sense of Touch and Its Rendering, Springer Tracts in Advanced Robotics 45, A. Bicchi et al.(Eds). Springer-Verlag Berlin, 2008.

Interaktive und autonome Systeme der Medizintechnik - Funktionswiederherstellung und Organersatz. Herausgeber: J. Werner, Oldenbourg Wissenschaftsverlag 2005.

Neural prostheses - replacing motor function after desease or disability. Eds.: R. Stein, H. Peckham, D. Popovic. New York and Oxford: Oxford University Press.

Advances in Rehabilitation Robotics - Human-Friendly Technologies on Movement Assistance and Restoration for People with Disabilities. Eds: Z.Z. Bien, D. Stefanov (Lecture Notes in Control and Information Science, No. 306). Springer Verlag Berlin 2004.

Intelligent Systems and Technologies in Rehabilitation Engineering. Eds: H.N.L. Teodorescu, L.C. Jain (International Series on Computational Intelligence). CRC Press Boca Raton, 2001.


Selected Journal Articles and Web Links:

Abbas, J., Riener, R. (2001) Using mathematical models and advanced control systems techniques to enhance neuroprosthesis function. Neuromodulation 4, pp. 187-195.

Bach-y-Rita P., Tyler M., and Kaczmarek K (2003). Seeing with the brain. International journal of human-computer-interaction, 15(2):285-295.

Burdea, G., Popescu, V., Hentz, V., and Colbert, K. (2000): Virtual reality-based orthopedic telerehabilitation, IEEE Trans. Rehab. Eng., 8, pp. 430-432
Colombo, G., Jörg, M., Schreier, R., Dietz, V. (2000) Treadmill training of paraplegic patients using a robotic orthosis. Journal of Rehabilitation Research and Development, vol. 37, pp. 693-700.

Hayward, V. (2008): A Brief Taxonomy of Tactile Illusions and
Demonstrations That Can Be Done In a Hardware Store. Brain Research Bulletin, Vol 75, No 6, pp 742-752

Krebs, H.I., Hogan, N., Aisen, M.L., Volpe, B.T. (1998): Robot-aided neurorehabilitation, IEEE Trans. Rehab. Eng., 6, pp. 75-87

Levesque. V. (2005). Blindness, technology and haptics. Technical report, McGill University. Available at: Link

Quintern, J. (1998) Application of functional electrical stimulation in paraplegic patients. NeuroRehabilitation 10, pp. 205-250.

Riener, R., Nef, T., Colombo, G. (2005) Robot-aided neurorehabilitation for the upper extremities. Medical & Biological Engineering & Computing 43(1), pp. 2-10.

Riener, R. (1999) Model-based development of neuroprostheses for paraplegic patients. Royal Philosophical Transactions: Biological Sciences 354, pp. 877-894.

The vOICe. Link.

VideoTact, ForeThought Development, LLC. Link
Voraussetzungen / BesonderesTarget Group:
Students of higher semesters and PhD students of
- D-MAVT, D-ITET, D-INFK, D-HEST
- Biomedical Engineering, Robotics, Systems and Control
- Medical Faculty, University of Zurich
Students of other departments, faculties, courses are also welcome
This lecture is independent from Rehabilitation Engineering I. Thus, both lectures can be visited in arbitrary order.
376-1279-00LVirtual Reality in Medicine Belegung eingeschränkt - Details anzeigen
Findet dieses Semester nicht statt.
W3 KP2VR. Riener
KurzbeschreibungVirtual Reality has the potential to support medical training and therapy. This lecture will derive the technical principles of multi-modal (audiovisual, haptic, tactile etc.) input devices, displays and rendering techniques. Examples are presented in the fields of surgical training, intra-operative augmentation, and rehabilitation. The lecture is accompanied by practical courses and excursions.
LernzielProvide theoretical and practical knowledge of new principles and applications of multi-modal simulation and interface technologies in medical education, therapy, and rehabilitation.
InhaltVirtual Reality has the potential to provide descriptive and practical information for medical training and therapy while relieving the patient and/or the physician. Multi-modal interactions between the user and the virtual environment facilitate the generation of high-fidelity sensory impressions, by using not only visual and auditory modalities, but also kinesthetic, tactile, and even olfactory feedback. On the basis of the existing physiological constraints, this lecture will derive the technical requirements and principles of multi-modal input devices, displays, and rendering techniques. Several examples are presented that are currently being developed or already applied for surgical training, intra-operative augmentation, and rehabilitation. The lecture will be accompanied by several practical courses on graphical and haptic display devices as well as excursions to facilities equipped with large-scale VR equipment.

Target Group:
Students of higher semesters and PhD students of
- D-HEST, D-MAVT, D-ITET, D-INFK, D-PHYS
- Robotics, Systems and Control Master
- Biomedical Engineering/Movement Science and Sport
- Medical Faculty, University of Zurich
Students of other departments, faculties, courses are also welcome!
LiteraturBook: Virtual Reality in Medicine. Riener, Robert; Harders, Matthias; 2012 Springer.
Voraussetzungen / BesonderesThe course language is English.
Basic experience in Information Technology and Computer Science will be of advantage
More details will be announced in the lecture.
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