Dave Warner MD PhD
Medical Neuroscientist
Dir. Medical Intelligence
MindTel
davew@well.com
http://www.mindtel.com/
http://www.medibolt.com/
Education:
Interests:
Interventional Informatics; Medical Communications; Distributed Medical intelligence; Bio-sensors; Quantitative Human performance; Expressional interface systems; Physio-informatics; Intelligent Interface-metrics; User Tracking Interface systems; Distributed tele-robotic controllers; Intermental Networking; Bio-cybernetics systems; Cognitive Neuroscience; Perceptual Psycho-physics; Perceptual state space modulation; Physiology; Physics; Mathematics; Philosophy; General Systems
Professional Responsibilities
1. Director, Institute for Interventional
Informatics (I3)
San Diego CA
http://www.pulsar.org/
I3 is an organization dedicated to the intelligent implementation of interactive
information technologies in Health Care and Education
2.CIO, MindTel LLC
Director of Medical Intelligence
Syracuse, NY 13210
MindTel is devoted to solving leading-edge problems in communication, healthcare, education, and recreation
3. Principle Instigator,
Center For
Really Neat Research Syracuse, NY
An Explanation
Since my entry into a combined MD/PhD program back in
1988, my research efforts have focused
on advanced instrumentation and new methods of analysis which can be
applied to evaluating various aspects of human
function as it relates to human computer interaction. I
have been working with and developing several classes of advanced human computer
interface technologies including Instrumented
clothing, pressure sensors, surface EMG, EOG, EEG (direct bio-electric signals from muscle, eye and brain
activity), a new form of force transducer and the complete sensory immersion systems
of Virtual Reality. An optimal mapping
of interactive interface technologies to the human nervous system's capacity
to transduce, assimilate and respond intelligently to information in an integrative-multisensory
interaction will fundamentally change the way that humans interact
with information systems. Therefore,
my specific research is involved in studying the flow of
information between the human and the computer. The intent of this
effort is to identify methods and techniques which optimize
information flow between humans and
computers. From the philosophic orientation of General Systems
Theories and Physiologically valid human information sciences we are exploring relevant
issues in interactive human computer interface design. An eclectic integration
of cognitive neuroscience, perceptual psycho-physics and bio-cybernetics guides
our efforts to create robust interactive systems. Application areas for this
work include quantitative assessment of human performance, augmentative
communication systems, environmental controls for the disabled, medical
communications and integrated interactive educational multimedia.
1.Distributed medical
intelligence (DMI):
Connectivity Matrix
for ubiquitous telemedical Knowledge on Demand services.
2.Interactive educational
tracking tools
"Smart Desk"
3.Universal interfacing
tools
Neattools-TNG3's
4.Bot-masters (DARPA)
Wearable computer
interface systems
Landmine detection
Wearable air ground
station
Tele-robotic controller
Human-robot interface/controllers
5.Cyber-Cultural engineering
"Cyberarium" -
Center for Really Neat Research
6.Interventional Informatics
It is the
intent of Interventional informatics
to seek out key
areas where information technology can be
effectively utilized
to improve quality of life, for example, in health
care and/or education,
and then actively participate in facilitating
implementation.
Project areas currently active include:
1. Advanced
instrumentation for the acquisition and analysis of medically relevant
biological signals
2. New interface systems for persons with disabilities
3. Educational systems that adapt to the users ability to learn
4. Advanced
training technologies which will allow the
rapid dispersion
of newly developed techniques.
5..
Advanced informatic systems which augment the general flow of medical
information
and provides decision support for the health care professional.
6..
Public access to health information databases designed to empower the
average
citizen to become more involved in their
own health care.
Short Bio
Warner, a medical neuroscientist, has an
MD/PhD from Loma Linda University,is the director of the Institute for
Interventional Informatics and has gained international recognition for pioneering
new methods of physiologically based human-computer interaction. Warner's
research efforts have focused on advanced instrumentation and new methods
of analysis which can be applied to evaluating various aspects of human function
as it relates to human-computer interaction, this effort was to identify methods
and techniques which optimize information flow between humans and computers.
Warner's work has indicated an optimal mapping of interactive interface technologies
to the human nervous system's capacity to transduce, assimilate and respond
intelligently to information in an integrative-multisensory interaction will
fundamentally change the way that humans interact with information systems.
Application areas for this work include quantitative assessment of human performance,
augmentative communication systems, environmental controls for the disabled,
medical communications and integrated interactive educational systems. Warner
is particularly active in technology transfer of aerospace and other defense
derived technologies to the fields of health care and education. Specific
areas of interest are: advanced instrumentation for the acquisition and analysis
of medically relevant biological signals; intelligent informatic systems
which augment both the general flow of medical information and provide decision
support for the health care professional; public accesses health information
databases designed to empower the average citizen to become more involved
in their own health care; and advanced training technologies which will adaptively
optimize interactive educational systems to the capacity of the user.
Selected Publications are:
1. Warner D, Rusovick R, Balch D (1998) The Globalization
of Interventional Informatics Through Internet Mediated Distributed Medical
Intelligence, New Medicine
2. Warner D, Tichenor J.M, Balch D.C. (1996) Telemedicine
and Distributed Medical Intelligence, Telemedicine Journal 2: 295-301.
3. Warner, D., Anderson, T., and Joh Johannsen.
(1994). Bio-Cybernetics: A Biologically Responsive Interactive Interface,
in Medicine Meets Virtual Reality II: Interactive Technology & Healthcare:
Visionary Applications for Simulation Visualization Robotics. (pp. 237-241).
San Diego, CA, USA: Aligned Management Associates.
4. Warner, D., Sale, J., Price, S. and Will,
D. (1992). Remapping the Human-Computer Interface for Optimized Perceptualization
of Medical Information, in Proceedings of Medicine Meets Virtual Reality.
San Diego, CA: Aligned Management Associates.
5. Warner, D., Sale, J. and Price, S. (1991).
The Neurorehabilitation Workstation: A Clinical Application for Machine-Resident
Intelligence, in Proceedings of the 13th Annual International Conference of
the IEEE Engineering in Medicine and Biology Society. ( pp. 1266-1267). Los
Alamos, CA: IEEE Computer
Society Press.
Basic neuroscience
The following abstracts demonstrate the application
of dynamical analysis to physiological signals and show that it is possible
to characterize abnormal electrophysiological rhythms as low dimensional attractors.
1. Sale EJ, Warner DJ, Price S, Will AD. Compressed
complexity parameter. Proceedings of the 2nd International Brain Topography
Conference., Toronto, Ontario. 1991
2. Warner DJ, Price SH, Sale EJ, Will AD. Chaotropic
dynamical analysis of the EEG. Brain Topography. 1990.
3. Warner DJ, Price SH, Sale EJ, Will AD.
Chaotropic Dynamical Analysis of the EEG. Electroencephalography and
Clinical Neurophysiology. 1990.
4. Warner D, Will AD. Dynamical analysis of EEG:
evidence for a low-dimensional attractor in absence epilepsy. Neurology.
1990 April;40(1):351.
The following abstract introduces the possibility of quantitatively correlating movement related potentials recorded over the scalp with complex motor tasks using human-computer interface technology
Warner DJ, Will AD, Peterson GW, Price SH,
Sale EJ, Turley SM. Quantitative motion analysis instrumentation for
movement related potentials. Electroencephalography and Clinical Neurophysiology.
1991;79:29-30.
Neuroscience
The basic problem being addressed by the
following abstracts is that clinical research involving neurological disorders
is severely limited by the inability to objectively and quantitatively measure
complex motor performance. Large double-blind randomized controlled
trials of novel therapies continue to rely on clinical rating scales that
are merely ordinal and subjective. In addition, research on the basic
neuroscience of motor control is greatly impeded by the lack of quantitative
measurement of motor performance.
1. Will AD, Sale EJ, Price S, Warner DJ, Peterson
GW. Quantitative measurement of the “milkmaid” sign in Huntington’s
disease. Annals of Neurology. 1991;30:320
2. Warner DJ, Will AD, Peterson GW, Price SH, Sale EJ.
The VPL data glove as an instrument for quantitative motion analysis.
Brain Topography. 1990.
3. Warner DJ, Will AD, Peterson GW, Price SH, Sale EJ.
The VPL data glove as an instrument for quantitative motion analysis.
Brain Topography. 1990.
4. Will AD, Warner DJ, Peterson GW, Price SH, Sale EJ.
Quantitative motion analysis of the hand using the data glove. Muscle
and Nerve. 1990.
5. Will AD, Warner DJ, Peterson GW, Sale EJ,
Price SH. The data glove for precise quantitative measurement of upper
motor neuron (UMN) function in amyotrophic lateral sclerosis (ALS).
Annals of Neurology. 1990;28:210.
6. Will AD, Warner DJ, Peterson GW, Price
SH, Sale EJ. Quantitative analysis of tremor and chorea using the VPL
data glove. Annals of Neurology. 1990;28:299.
Therapeutic potential of human computer interface
Warner DJ, Will AD, Peterson GW, Price SH,
Sale EJ. The VPL data glove as a tool for hand rehabilitation and communication.
Annals of Neurology. 1990;28:272.