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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:2014_personal_electronic_health_assistants:start

2014 Personal Electronic Health Assistants

CmpE 580 Course

Thursday 14:00 - 16:50, Room ETA A5

Start: Spring 2014


Intro

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

This new 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

  • Write your own research project proposal and conduct a feasibility study in a team of 2-3 students
  • Research Project Objective: Which health problems in Turkey can be solved with the help of Personal Electronic Health Assistants?
  • Feasibility Study: Design and conduct a technical feasibility study towards your research project

Please find all details about the examination here: Examination.pdf

Deadlines

  • Midterm proposal submission: Friday, 28. March
  • Midterm presentation: Thursday, 3. April
  • Final proposal submission: Friday, 16. May
  • Final presentation: Thursday, 15. May

Teams

Not assigned to a team yet:

  • PETEK ÖZGÜL

Lecture Program

Introduction and Motivation (2014/02/20)

Physiological Sensing (2014/02/27)

Context Awareness (2014/03/06)

  • Intro Context-aware computing
  • Characterizing the User: Activity recognition
    • Sensor Setup + Recognition Chain
  • Characterizing the User: Localization
    • GPS
    • Indoor WiFi Fingerprinting
  • Characterizing number of persons around
    • Bluetooth Scanning
    • ANT Radio Scanning
  • Characterize Places
  • Context-Aware Computing Examples
  • Smartphone = Context Sensor?
  • Data collection app “Sensor Log”

Emotion Recognition (2014/03/13)

Clustering (2014/03/20)

Self-Organizing Maps for Emotion Recognition (2014/03/27)

  • 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

Midterm Presentation (2014/04/03)

  • Team 1: HEALFIT: A Simple Personal Fitness Assistant
  • Team 2: YOUR MOBILE DUI CHECKPOINT
  • Team 3: STRESS DETECTOR FOR CLASSROOMS
  • Team 4: ELECTRONIC HEALTH ASSISTANT FOR DIABETES
  • Team 5: Use Of Eye Tracking Integrated Helmets For Sending Distress Calls In Extreme Sports
  • Team 6: Empowering Patients with Medical To-Do Tracker

Personal Stress Assistant (2014/04/17)

  • 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

The smartphone as electronic health assistant

  • Diary apps
  • Guides and relaxation apps
  • Smartphone sensor-based assistants

Final Presentation (2014/05/15)

  • Team 1: HEALFIT: A Simple Personal Fitness Assistant
  • Team 2: YOUR MOBILE DUI CHECKPOINT
  • Team 3: STRESS DETECTOR FOR CLASSROOMS
  • Team 4: ELECTRONIC HEALTH ASSISTANT FOR DIABETES
  • Team 5: Use Of Eye Tracking Integrated Helmets For Sending Distress Calls In Extreme Sports
  • Team 6: Empowering Patients with Medical To-Do Tracker

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




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




Mobile System for Unobtrusive Monitoring of Electrodermal Activity in Daily Life
F. Gravenhorst, B. Tessendorf, A. Muaremi, C. Setz, B. Arnrich and G. Tröster
6th International Workshop on Ubiquitous Health and Wellness (UbiHealth), 2012




Unobtrusive Physiological Monitoring in an Airplane Seat
J. Schumm, C. Setz, M. Bächlin, M. Bächler, B. Arnrich and G. Tröster
Personal and Ubiquitous Computing, 14:6, pp 541-550, 2010




Effect of movements on the electrodermal response after a startle event
J. Schumm, M. Bächlin, C. Setz, B. Arnrich, D. Roggen and G. Tröster
Methods of Information in Medicine, 47:3, pp 186-191, 2008




Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep
Amir Muaremi, Bert Arnrich, Gerhard Tröster
BioNanoScience, 2013




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




A Case Study on Monitoring Reaction Times with a Wearable User Interface during Daily Life
B. Cinaz, B. Arnrich, R. La Marca and G. Tröster
International Journal of Computers in Healthcare, 1:4, pp 283-303, 2012




Implementation and Evaluation of Wearable Reaction Time Tests
B. Cinaz, C. Vogt, B. Arnrich and G. Tröster
Pervasive and Mobile Computing Journal, 2012, 8:6, pp 813–821, 2012




A Survey on Measuring Happiness with Smart Phones
A. Muaremi, B. Arnrich and G. Tröster
6th International Workshop on Ubiquitous Health and Wellness (UbiHealth), 2012




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




Discriminating Stress from Cognitive Load Using a Wearable EDA Device
C. Setz, B. Arnrich, J. Schumm, R. La Marca, G. Tröster and U. Ehlert
IEEE Transactions on Information Technology in Biomedicine, 14:2, pp 410-417, 2010




Self Organizing Maps for Affective State Detection
B. Arnrich, C. Setz, R. La Marca, G. Tröster and U. Ehlert
International Workshop on Machine Learning for Assistive Technologies, 2010

pub/lectures/2014_personal_electronic_health_assistants/start.txt · Last modified: 2015/08/07 14:32 by barnrich