Developing a practical wearable telemedicine system for emergency and mobile medicine
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Developing a Practical Wearable Telemedicine System for Emergency and Mobile Medicine. November 22, 1998. Martin Dudziak, PhD Tamara Koval, MD Medical College of Virginia and Silicon Dominion Computing, Inc. Presentation Outline. Mobile Telemedicine Issues and Motivations

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Developing a Practical Wearable Telemedicine System for Emergency and Mobile Medicine

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Developing a practical wearable telemedicine system for emergency and mobile medicine

Developing a Practical Wearable Telemedicine Systemfor Emergency and Mobile Medicine

November 22, 1998

Martin Dudziak, PhD Tamara Koval, MD

Medical College of Virginia

and

Silicon Dominion Computing, Inc.


Presentation outline

Presentation Outline

  • Mobile Telemedicine

    • Issues and Motivations

  • Requirements and Demands

  • Mobile Wearable PCs

  • TransPAC and MediLink

  • Methods for Testing and Evaluation


Issues and motivations for mobile telemedicine

Issues and Motivations for Mobile Telemedicine

  • Increased mobility of general population

  • Decreased centralization of health services

  • Expansion of electronic medical records

  • Increased use of imaging and video

  • Need for more remote/home health care

  • Increased role of assistant-level staff


Effective mobile medical communications requirements

Effective Mobile Medical Communications: Requirements

  • Convenient

  • Common Standards

  • Interoperability

  • Upgradeable

  • Customizable

  • Interchangeable

  • Secure


Mobile wearable pcs for patient data access and acquisition

Mobile Wearable PCsforPatient Data Access and Acquisition

  • Evolution in Computing Platforms

  • Maturation in Telecommunications

  • Advances in Data Compression

  • Availability and Readiness of Data

  • Advances in Security, Power, and Storage


Three examples

Three Examples


Pros and cons of the wearable pc

Pros and Cons of the Wearable PC

  • Full PC features, compatibility

  • Lightweight, convenient to carry

  • Speech, pen, keyboard, mouse inputs

  • Internet-capable; large memory, storage capacity

  • Expensive

  • Dangling wires and parts

  • Hardware and speech quirks

  • Not user-friendly for general population


Developing a practical wearable telemedicine system for emergency and mobile medicine

TransPAC Alternative Integrated Approach

Current

and

Projected

Medical Enterprise

Data Systems

Adaptable

Ergonomic

Wearable PC

Practical speech,

smart card, video,

intranet

functionality

TransPAC with MediLink


A systems engineering approach to telemedicine

A Systems Engineering Approach to Telemedicine

  • Mobile network emphasizing seamless communication for data and voice

  • Medical process and flow continuity: Enhance, do NOT disrupt

  • Adapting to institutional data management and “IT” structures, not demanding alternatives

  • RequirementsSpecifications Design RAP / RAD Implementation


Developing a practical wearable telemedicine system for emergency and mobile medicine

TransPAC Mobile Computing Platform

  • Modular and wearable PC (Windows95/98)

  • High-end graphics and video features and extensibility (128MB+, 200MHz+, 2 GB+)

  • Speaker-independent and speaker-custom speech recognition

  • Wireless Internet modem

  • Direct link with image and database servers

  • Smart card for access and transaction registry


Developing a practical wearable telemedicine system for emergency and mobile medicine

CD/DVD/Tape Unit

CRT or LCD Display

Beltpack or Bodypack Carrying Unit

Microphone

AC Power

Adapter

Base System Unit

Headphones

Extension Pack

Kbd / Mouse

Battery Pack

Wireless

Modem

Cell Phone

Parallel Data Acquisition Device(s)

PCMCIA Data Acq Device(s)

RS232 Data Acquisition Device(s)


Developing a practical wearable telemedicine system for emergency and mobile medicine

TransPAC Function and Data Flow

Testing/Engineering/Maintenance System Databases

(typical scenario: ModelServer Discovery with connectivity to Oracle databases)

Field Office/ Lab

2

Task dataset loaded onto Active Session Card in Base Station PC

PC

(Base Station)

Active Session Card

1

Card Reader

6

Active Session Card returned to Base Station PC for upload

3

Wearable PC with CardReader

built-in or as plug-in (PCMCIA interface)

Active Session Card

Active Session Card

GPS

Keyboard/ mouse/pen input

5

4

Work completed and Active Session Card time-stamped and ready for upload through BASE station

In-field data collection process; data processed on PC and stored on Active Session Card

Camera or video (MAGVISION)

Internet access

Voice input


Transpac internal data model

TransPAC Internal Data Model


Developing a practical wearable telemedicine system for emergency and mobile medicine

MediLink Key Features

  • Patient-oriented application session and auto-managed files and folders

  • Freeform Writing Pad with graphic and video options (cut-and-paste and links)

  • Patient-oriented distributed database access protocol

  • BodyMap graphic interface for patient records

  • Standard internet browser functions

  • Multimedia data acquisition & imaging functions


Medilink application

MediLink Application


Developing a practical wearable telemedicine system for emergency and mobile medicine

Enter new patient basic data

newsession folder

jgsmythe-243-67-9631 folder

SESSION

DATA

FLOW

new_session.htm

header file

jgsmythe-243-67-9631.htm

header file

Download from server, enter notes, drawings, capture video, EKG, other data

Store on server,

session card,

hard drive

jgsmythe-243-67-9631 folder

jgsmythe-243-67-9631.htm

header file


On board interactive assistance

On-Board Interactive Assistance

  • Speech-to-Text-to-Database

  • Customized speaker-independent vocabularies for command, control, entry

  • Patient record pointers eliminate searching, keystrokes, commands

  • Image comparison and differentiation tool for real-time image analysis


Wireless intranets

Wireless Intranets


Wavelet based image compression

Wavelet-Based Image Compression

Fetal faceUltrasound 72K 50:1, 7K 125:1, 2K

Huntington’s MRI+SPECT overlay 44K 100:1, 7K 200:1, 4K


Adaptive pattern recognition like humans do it

Adaptive Pattern Recognition - Like Humans Do It


Another example cutting through the noise

Another Example - Cutting Through the Noise


Acknowledgements

Acknowledgements

  • Slava Vaseken, Silicon Dominion

    • TransPAC Design Team

  • Interactive Solutions, Inc.

  • Bentley Systems, Inc.


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