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Open positions for Doctoral Students (Ph.D.) and Postdoctoral Researchers in Digital Health with emphasis on Connected Health available

Editorial Wearable Therapy – Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy has been accepted for publication in Methods of Information in Medicine, 2017

Paper Detecting Anxiety States when Caring for People with Dementia has been accepted for publication in Methods of Information in Medicine, 2017

Paper Variability analysis of therapeutic movements using wearable inertial sensors has been accepted for publication in Journal of Medical Systems, 2017

Paper Semi-supervised Model Personalization for Improved Detection of Learner’s Emotional Engagement accepted for ICMI 2016

Paper mk-sense: An extensible platform to conduct multi-institutional mobile sensing campaigns accepted for UCAmI 2016

Paper Towards an emotional engagement model : Can affective states of a learner be automatically detected in a 1 : 1 learning scenario? accepted for PALE 2016

Paper What good leaders actually do: Micro-level leadership behavior, leader evaluations, and team decision quality accepted in European Journal of Work and Organizational Psychology, 2016

Paper Exploring the link between behaviour and health available online in Personal and Ubiquitous Computing Journal 2015

Paper Mobile phones as medical devices in mental disorder treatment: an overview available online in Personal and Ubiquitous Computing Journal 2015

9th International Conference on Pervasive Computing Technologies for Healthcare

pub:lectures:2015_personal_electronic_health_assistants:start

2015 Personal Electronic Health Assistants

CmpE 580 Course, Wednesday 14:00 - 17:00, Room ETA B5

Intro

It is internationally recognized that future healthcare systems will be supported by networked personal assistant systems.

This lecture provides an introduction into personal electronic health assistants by combining relevant methods, tools and practical applications from research and industry.

Methods include physiological signal processing, data privacy methods and relevant methods from machine learning and data mining.

Applications include a personal stress assistant, ambient assisted living and the smartphone as electronic health assistant.

There are no special requirements to attend this lecture since all needed background knowledge is provided within the courses.


Examination

Please find all details about the examination in the handouts of the first lecture: 2015_09_30_cmpe_580_personal_electronic_health_assistants_01_intro.pdf

Important Dates

  • October 27: Project Idea and Motivation
  • November 10: State of the Art
  • November 11: Midterm Presentation
  • December 1: Research Proposal
  • December 15: Feasibility Study
  • December 16: Final Presentation

Teams


Lecture Program

Introduction and Motivation (2015-09-30)

Physiological Sensing I (2015-10-07)

Physiological Sensing II (2015-10-14)

Tools (2015-10-21)

Emotion Recognition (2015-11-04)

Self-Organizing Maps for Emotion Recognition (2015-11-18 and 2015-11-25)

  • Self-Organizing Map (SOM) main aspects
  • Mapping Signal Space to SOM
  • SOM Training
  • SOM Prediction
  • Supervised SOMs
    • Supervised Kohonen Network
    • Bi-Directional Kohonen Network
    • Counter Propagation Network
    • XY-fused Kohonen Network
  • Emotion SOM for detecting affective state from our voice
  • Stress SOM for discriminating between cognitive load and stress

Personal Stress Assistant (2015-12-02 and 2015-12-09)

  • Motivation Continuous monitoring of cognitive load
  • Subjective Assessments
    • Experience Sampling
    • Day Reconstruction
  • Performance Based Assessment
    • Primary and secondary task performance
    • Electronic car assistant systems
    • Wearable reaction time test
    • Long-Term Monitoring with a Graphic Designer
  • Physiological Measures

Literature

Pervasive healthcare: paving the way for a pervasive, user-centered and preventive healthcare model
Bert Arnrich, Oscar Mayora, Jakob Bardram, Gerhard Tröster
Methods of Information in Medicine, 49(1), pp 67-73, 2010


What does your chair know about your stress level?
B. Arnrich, C. Setz, R. La Marca, G. Tröster and U. Ehlert
IEEE Transactions on Information Technology in Biomedicine, 14:2, pp 207-214, 2010


Design, Implementation and Evaluation of a Multimodal Sensor System Integrated Into an Airplane Seat
Bert Arnrich, Cornelia Kappeler-Setz, Johannes Schumm, Gerhard Tröster
Sensor Fusion: Foundation and Applications, INTECH, 2011


ECG Monitoring in an Airplane Seat: Appraising the Signal Quality
J. Schumm, B. Arnrich and G. Tröster
IEEE Pervasive Computing Journal, 11:4, pp. 28-34, 2012


Monitoring of Mental Workload Levels during an Everyday Life Office-Work Scenario
B. Cinaz, B. Arnrich, R. La Marca and G. Tröster
Personal and Ubiquitous Computing, 17:2, pp 229-239, 2013

pub/lectures/2015_personal_electronic_health_assistants/start.txt · Last modified: 2015/12/09 14:58 by barnrich