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Accessible Home Vital Signs Monitoring System

Accessible Home Vital Signs Monitoring System. Group 22 BME 272. Kristyn Eilertsen Adam Goodale Stephen Kepper Sunil Narayan Stacey Tarver. National Student Design Competition. Sponsored by Rehabilitation Engineering Research Center on Accessible Medical Instrumentation

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Accessible Home Vital Signs Monitoring System

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  1. Accessible Home Vital Signs Monitoring System Group 22 BME 272 Kristyn Eilertsen Adam Goodale Stephen Kepper Sunil Narayan Stacey Tarver

  2. National Student Design Competition • Sponsored by Rehabilitation Engineering Research Center on Accessible Medical Instrumentation • Problem: Increase in healthcare costs require the need for medical tasks to be moved into the home • Aim: Design an affordable, at-home vital signs monitoring system, that can transmit medical information • Specs: collect 4-6 vital signs, store/retrieve data, easy to use, accessible at home

  3. Project Background • The growing number of elderly people means even more stress will be placed on emergency rooms • Currently at home vital systems or personal nurses are too expensive for everyone to use

  4. Changing the Face of Healthcare • Number of hospital emergency departments cut by 14% in 2005 • ER visits reached a record high of 114 million, consisting primarily of the uninsured and elderly • US 65-and-over population has risen 9.6% over that same time period

  5. Why target the elderly? • ER visits by Americans age 65 and over rose 26% in 2003 • Medicaid patients were four times more likely to seek treament in an ER than those with private health insurance • Nursing home residents age 65-74 were five times more likely to visit the ER than non institutionalized seniors

  6. Patient Challenges • Must accommodate patients with varying disabilities • Blind • Deaf • Elderly • Bed ridden • Motor movement challenged • Little technology experience

  7. User friendly Cost effective Visual usage Audio usage Large responsive user interface Compact Aesthetically pleasing Fast response Telemedicine Requirements

  8. Components • Multimodal home vital signs monitoring system • Body temperature • Weight • Blood pressure • Heart rate • Respiration rate • Computer Blood pressure Weight scale Temperature Breathing rate Heart rate

  9. Sensor Range and Accuracy • Vernier Sensors • Very accurate • Inexpensive Sensors • Blood Pressure Sensor • Range: 0-250mm Hg, Accuracy: +/- 3mm Hg • Force Plate • Range: 0 – 1000lb, Accuracy: +/- 0.25lb • Temperature Probe • Range: -40C to 135C, Accuracy: +/- 0.2-0.5C • Breathing Rate • Range and Accuracy: Contact Vernier • Heart Rate Monitor • Range and Accuracy: Contact Vernier

  10. Top Competitors • Philips SureSigns VS1 Vital Sign Monitor ~ $1982.70 • GE DINAMAP ProCare 120 Monitor ~ $1821.50 • Does not include weight measurement, data storage, or emailing capability • Device is heavy, difficult to read, and requires some training to use (i.e. Not designed for use by elderly)

  11. Package Costs • Premium Package • (computer, program, and all five sensors) ……………$1,051 • Sensor Only Package • (all five sensors and program only)……………………..$612 • Vital Sign Package • (heart rate, breathing rate, and blood pressure only)…$384

  12. Our Product’s Advantages • Can be compartmentalized to address patient’s specific needs • Less than half the cost with full functionality • Capable of automated communication with Doctor or health professional • Designed specifically for the elderly

  13. Software Component • Computer Program • Stand alone program • Compilation of Matlab and Microsoft Visual C++ • Large, easy-to-use graphic user interface (GUI) • Voice response capabilities • Communicates both results and directions

  14. Data Acquisition • Program communicates with sensor • via USB • sets sampling rate, collects and stores data • Displays results to patient • Stores data • Saved as date and time

  15. Telemedicine • Emailing Results • Program creates email with attached results • Uses stored patient and doctor email address in setup screen • Ability to retrieve and send past results • Security protected through username and password

  16. Conclusion • In the near Future…. • Continue formatting C++ and Matlab code • Integrate sensors • Test sensor quality • Compare to actual medical devices • Create stand alone computer program

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