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For the latest
press releases, announcements, and information, please visit
one of the links listed below.
PERL Research was awarded a
contract from U.S. Army Medical Command to develop a
standoff remote triage sensor array for robotic casualty
extraction systems.
The system will provide real-time, continuous estimation of
a patient’s health status – Dynamic Injury Severity
Estimation System (DISE). DISE will be an integrated system
of intelligent software and sensors onto a robot. The system
will allow them to remotely assess injured soldiers in
hostile environments. The system approach will optimally
integrate the medic’s assessment (based on remote video
monitoring and audio interaction) along with automated
processing of the sensor data to determine the status of the
injured soldier. In order to achieve this optimal fusion of
information, it will incorporate a probabilistic decision
network (PDN) model for the real-time assessment of a
patient.
PERL Research was awarded a
contract from U.S. Army Medical Command to develop
non-invasive, early stage hemorrhage detection system.
PERL Research will develop an automated decision support
algorithm for detecting hemorrhaging and determining injury
severity based on a person’s vitals signs. The system will
provide the capability to non-invasively determine if a
patient bleeding internally and if so to what degree. This
allows for the establishment triage categories, evacuation
priority, and required interventions thereby significantly
increasing survivability. The system design is based on a
configurable model of an autonomous nervous system that is
automatically configured to a given user during initial
measurements, and used to track deterioration of user’s
state in multidimensional feature space during physiological
compensation to hemorrhage.
ATACCC 2008 Conference is open
for registration
The ATACCC is the DOD's
premier scientific meeting that addresses critical advances
in trauma medicine and the unique medical needs of the
warfighter. It will focus on growing and changing
operational issues and the technologies available today and
in the future that can be used to meet these increasingly
complex goals. Nearly all of DOD's combat casualty care
scientists will present their latest research results.
The
website link is:
https://usaccc.org/ATACCC
Second Annual ATA Mid-Year Meeting
The 2008
Mid-Year Meeting will be held September 15 & 16, 2008 at the
Tampa Marriott Waterside Hotel and Marina in Florida. This
meeting has two great tracks that run concurrently:
Track 1:
Smart Home – Smart Patient
Innovative
Remote Monitoring for Acute, Chronic and Wellness Care
Sponsored by the ATA Home Telehealth & Remote Monitoring SIG
The 2008 Home Telehealth & Remote Monitoring Meeting
serves as a forum for sharing scientific research findings,
significant advances in related technology and applications,
and groundbreaking programs, projects, or case studies.
The weblink
is
http://www.americantelemed.org/conf/MidYear2008/index.htm
Topics of
special interest include:
-
Wearable computers
- Gaming
and health
-
Robotics to assist the elderly
- Smart
Home technology
- Direct
to consumer initiatives for telehealth
-
Personal Health Records
-
Innovative home telehealth programs
-
Successful state and national programs utilizing remote
monitoring
-
Utilizing RPM in creative settings
- Home
telehealth for acute and chronic disease
Track II:
3rd Annual Pediatric Telehealth Colloquium
Sponsored
by the UC Davis Pediatric Telehealth Program, The Office of
Continuing Medical Education & the ATA Pediatric Telehealth
Discussion Group The UC Davis 2008 Pediatric Telehealth
Colloquium will be held in conjunction with the ATA Mid-Year
Meeting. The Colloquium, already established as a premier
event for the pediatric telehealth community, is dedicated
to the presentation of original research related to
pediatric telemedicine by investigators in clinical science.
Topics of special interest include:
-
Inpatient telemedicine
-
Outpatient telemedicine
-
Innovative pediatric telehealth applications
-
Sustainability
-
Quality of care
-
Financial impact
- Novel
technologies and telecommunications
The Next Health 2.0
Conference
October 21-23, 2008 San Francisco
Social
networks are redefining relationships within communities in
unanticipated and previously unimagined ways. Web 2.0 tools
like blogs, wikis, podcasts, user-generated video and
specialized search - are generating a fundamental shift away
from the traditional flow of information in healthcare as
defined by payers, physicians, hospital systems and pharma
companies. It is absolutely clear that we are at the start
of a significant shift in demand from both consumers and
providers for better information and easier ways to share
experiences.
http://www.health2con.com/sf.html
Decision
Support Algorithm for Remote Triage
Paul Cox, Emil Jovanov, PhD, William Cooke, PhD, Sylvain
Cardin, PhD, Gary Gilbert, PhD.
PERL
Research presents Decision Support Algorithm for Remote
Triage paper at the 2008 American Telemedicine Association
Conference. Recent
advances in both medical technologies and remotely operated
robotics have presented opportunities for advanced medical
care. The utilization of robots is being investigated to
provide assessment and extraction of casualties which can
not be readily accessed by humans in battlefield and
emergency situations. The utilization of a robot for
patient assessment poses a significant challenge since the
first responder/medic is not present to perform standard
patient triage procedures such ABCDE (Airway, Breathing,
Circulation, Deficit, and Exposure) and Glasgow Coma Score.
This paper will present the results of a standoff casualty
assessment system based on an advanced decision support
system processing data from an array of sensors for
Prehospital ambulatory monitoring applications. We will
present a promising real-time probabilistic decision support
network (PDSN) algorithm for determining the injury severity
of a patient. The decision algorithm was tested on data
collected from actually trauma patients and compared with
standard decision algorithms. We will present the overall
performance of the decision algorithm which will include a
detailed statistical analysis of the data. |
