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Yetta

Reliable Clinical Monitoring using Wireless Sensor Networks: Experience in a Step-down Hospital Unit. Yetta. Outline. Introduction Monitoring system Clinical study Clinical deterioration detection Conclusion. Introduction. Clinical deterioration detection

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Yetta

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  1. Reliable Clinical Monitoring using Wireless Sensor Networks: Experience in a Step-down Hospital Unit Yetta

  2. Outline • Introduction • Monitoring system • Clinical study • Clinical deterioration detection • Conclusion

  3. Introduction • Clinical deterioration detection • ICU / step-down unit / general care unit • IEEE 802.15.4 / IEEE 802.11 • Heart rate (HR) and blood oxygenation (spO2)

  4. Monitoring System • TelosB / OxiLink pulse-oximeter

  5. Monitoring System • CTP (collection tree protocol) • Low reliability because of user mobility • DRAP (Dynamic Relay Association Protocol) • Isolate the mobility from multi-hop routing • Single-hop to first relay • Relay to base station

  6. neighbor table of node A E A D B C

  7. Monitoring System • Radio power management • Sensor component (OxiLink pulse-oximeter) • Control by TelosB • average over 8 sec • Logging component • Batching flash writing

  8. Clinical Study • 1200m2 • 18 relays • 41 patients • Pulse and oxygenation were measured at 30- and 60-second intervals

  9. Reliability • Network reliability • Sensing reliability • Time-to-failure • Time-to-recover

  10. Network Reliability Mean = 22.4 min 95% < 2.5 min

  11. Sensing Reliability • Significantly affected by patient movement, sensor disconnections, sensor placement, and nail polish

  12. Improvement of Sensing Reliability • Oversample • Median reliability: 84%(30sec), 75%(60sec) Median = 1.81 min 75% < 1 min => short burst Long-tailed => sensor disconnection

  13. Improvement of Sensing Reliability • Disconnection alarms

  14. Clinical Deterioration Detection

  15. Clinical Deterioration Detection • CUSUM algorithm • detecting statistically significant changes in a series of measurements • Sliding window

  16. Conclusion • High network reliability • System reliability dominated by sensor reliability • Oversampling • Disconnection alarms • Show the potential of real-time detection of clinical deterioration

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