dave-warner-md-phd

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/

2.CIO, MindTel LLC
Director of Medical Intelligence
Syracuse, NY 13210

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.

PAST Projects

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.