Accepted Papers

The following papers have been accepted to be presented at the Wireless Health 2011 Conference.

Enabling Longitudinal Assessment of Ankle-Foot Orthosis Efficacy for Children with Cerebral Palsy

  • Shanshan Chen (University of Virginia, US)
  • Christopher Cunningham (University of Virginia, US)
  • Bradford Bennett (University of Virginia, US)
  • John Lach (University of Virginia, US)

Wireless Monitoring of Postoperative Respiratory Complications

  • Andrew Bates (University of Edinburgh, UK)
  • DK Arvind (University of Edinburgh, UK)
  • Janek Mann (University of Edinburgh, UK)

Continuous, Non-Invasive Assessment of Agitation in Dementia Using Inertial Body Sensors

  • Azziza Bankole (Virginia Tech Carilion School of Medicine, US)
  • Martha Anderson (Virginia Tech Carilion School of Medicine, US)
  • Aubrey Knight (Virginia Tech Carilion School of Medicine, US)
  • Kyunghui Oh (Virginia Polytechnic Institute and State University, US)
  • Tonya Smith-Jackson (Virginia Polytechnic Institute and State University, US)
  • Mark Hanson (BeClose, US)
  • Adam Barth (University of Virginia, US)
  • John Lach (University of Virginia, US)

Context Guided and Personalized Activity Classification System

  • James Xu (University of California, Los Angeles, US)
  • Yuwen Sun (University of California Los Angeles, US)
  • Zhao Wang (University of California, Los Angeles, US)
  • William Kaiser (University of California, Los Angeles, US)
  • Gregory Pottie (University of California at Los Angeles, US)

Rejection of Irrelevant Human Actions in Real-time Hidden Markov Model Based Recognition Systems for Wearable Computers

  • Jerry Mannil (University of Texas at Dallas, US)
  • Roozbeh Jafari (University of Texas at Dallas, US)

Grammar-Based, Posture- and Context-Cognitive Detection for Falls with Different Activity Levels

  • Qiang Li (University of Virginia, US)
  • John Stankovic (University of Virginia, US)

Resource-efficient and Reliable Long Term Wireless Monitoring of the Photoplethysmographic Signal

  • Sidharth Nabar (University of Washington, US)
  • Ayan Banerjee (Arizona State University, US)
  • Sandeep Gupta (Arizona State University, US)
  • Radha Poovendran (University of Washington, US)

Lightweight Power Aware and Scalable Movement Monitoring for Wearable Computers: a Mining and Recognition Technique At the Fingertip of Sensors

  • Vitali Loseu (University of Texas at Dallas, US)
  • Roozbeh Jafari (University of Texas at Dallas, US)

Empath: a Continuous Remote Emotional Health Monitoring System for Depressive Illness

  • Robert Dickerson (University of Virginia, US)
  • Eugenia Gorlin (University of Virginia, US)
  • John Stankovic (University of Virginia, US)

MConverse: Inferring Conversation Episodes From Respiratory Measurements Collected in the Field

  • Md Mahbubur Rahman (University of Memphis, US)
  • Amin Ali (The University of Memphis, US)
  • Kurt Plarre (University of Memphis, US)
  • Mustafa al’Absi (University of Minnesota Medical School, US)
  • Emre Ertin (The Ohio State University, US)
  • Santosh Kumar (University of Memphis, US)

Motion Artifact Reduction in Ambulatory ECG Monitoring: An Integrated System Approach

  • Inaki Romero (Holst Centre, NL)
  • Sunyoung Kim (IMEC, BE)
  • Torfinn Berset (IMEC/Holst Centre, NL)
  • Nick Van Helleputte (IMEC, BE)
  • Dilpreet Buxi (IMEC/Holst Centre, NL)
  • Lindsay Brown (Holst Centre IMEC Netherlands, NL)
  • Hyejung Kim (Imec, BE)
  • Chris Van Hoof (IMEC, BE)
  • Firat Yazicioglu (IMEC, BE)
  • Julien Penders (IMEC/Holst Centre, NL)

Filters That Remember: Duty Cycling Analog Circuits for Long Term Medical Monitoring

  • Zainul Charbiwala (University of California, Los Angeles, US)
  • Jonathan Friedman (University of California, Los Angeles, US)
  • Benjamin Kuris (Shimmer Research, US)
  • Mani Srivastava (University of California, Los Angeles, US)

Feature Extractors: Flexible Integration of Cameras and Sensors for End-User Programming of Assistive Monitoring Systems

  • Alex Edgcomb (University of California, Riverside, US)
  • Frank Vahid (University of California, Riverside, US)

Collaborative Virtual Rehabilitation Interface with Home Treatment Integration

  • Sai Moturu (MIT Media Lab, US)