AAAI 2011 - Computational Physiology AAAI Spring Symposium

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Category AAAI 2011

Deadline: November 19, 2010 | Date: March 21, 2011-March 23, 2011

Venue/Country: Stanford, U.S.A

Updated: 2010-11-17 14:29:24 (GMT+9)

Call For Papers - CFP

FINAL CALL FOR ABSTRACTS

http://sites.google.com/site/aaaicomputationalphysiology/home

March 21-23, 2011. Stanford University.

Abstracts submissions (200 - 400 Words): November 19, 2010 ( e-mail

to: mbullercs.brown.edu)

Notification of acceptance: December 10, 2010.

Extended Abstract (2 Pages) or Short Paper (4 - 6 Pages) Due: January

21, 2011.

SPEAKERS:

- Dave Andre - (Body Media)

- Jeff Ashe, (GE Research), Environmental sensing: non-contact vital

signs.

- Matthew Goodwin - (MIT Media Lab, Director of Clinical Research | Co-

Director, Autism & Communication Technology)

- David Klonoff (Clinical Professor of Medicine, U.C. San Francisco,

Editor-in-Chief, Journal of Diabetes Science and Technology Medical *

Director, Diabetes Research Institute) Key Note Talk: Smart sensors

for Maintaining Homestasis.

- Jaques Reifman (Biotechnology High Performance Computing Institute)

Senior Research Scientist Director, Biotechnology HPC Institute US

Army Medical Research and Materiel Command.

- Brent Ruby (University of Montana, Department of Health and Human

Performance) Wildland firefighters application area.

- Zeeshan Syed - (University of Michigan, Assistant Professor

University of Michigan, Department of Electrical Engineering and

Computer Science)

Automated human health-state monitoring aims to identify when an

individual moves from a healthy to a compromised state. For example,

changes in diet or physical activity can lead to life-threatening hypo

or hyperglycemia in diabetics. Similarly, elderly individuals managing

multiple chronic conditions may experience rapid changes in physical

and cognitive health state that must be caught quickly for treatments

to be most effective. Even in healthy individuals, heavy exertion in

extreme climates can quickly lead to life threatening situations.

The emergence of inexpensive and unobtrusive health sensors promises

to shift the health care industry‘s focus from episodic care in acute

settings to early detection and longitudinal care for chronic

conditions in natural living environments. While these sensing systems

are able to provide a wealth of physiological information, the non-

invasive measurements are often quite different from the high-quality

but limited quantities of data used by physicians. As the availability

of longitudinal data increases, we have an unprecedented opportunity

to discover new early predictors of clinically significant events.

This symposium will bring together researchers from the fields of

artificial intelligence, machine learning, engineering, physiology,

and medicine for a set of talks and discussions aimed at bridging

these inter-disciplinary perspectives. Researchers in all fields

related to computational physiology are invited to submit extended

abstracts (2 pages) or short papers (4-6 pages) describing:

- New ambulatory and non-contact sensing technologies or novel

applications of existing sensors

- Specific difficulties associated with measuring human health states

of interest (e.g. internal body temperature, hydration, cognitive

decline, blood glucose level).

- Inference techniques that address the challenges of decision-making

with these data (e.g. continuous monitoring, multi-sensor fusion,

movement artifacts).

- Interfaces/Approaches for providing real-time advice to individuals

towards preventing injury and maintaining health.

Reports on experimental results, descriptions of implemented systems,

and position papers are all welcome; papers will be chosen for either

oral or poster presentations.

Extended Abstracts and Short Papers should be in AAAI format [http://

www.aaai.org/Publications/Author/author.php].

Please e-mail submissions to mbullercs.brown.edu.

AAAI 2011 Spring Symposia (http://www.aaai.org/Symposia/Spring/

sss11.php)