13. Pressure sensor array data before alignment Signal amplitude for deep and regular breathing
14. C. Delays Between Signals RESULTS ∆ T delay values for 400s of regular breathing ∆ T calculation showing delayed pressure signal
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16. The overlap between labeled inspiration segments of the three signals were measured both with and without adjusting for the ∆T value. Shifting the delayed signal improves the overlap percentage and brings the pressure to RIP overlap to within 11% of the overlap between the RIP bands. Table suggests that when corrected for ∆T delay, the direction change is synchronized. RESULTS
17. FUTURE WORKS Future work will focus on chest movement analysis and determine particular monitoring needs of older adults in the smart home context.
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19. REFERENCES [1] R. Steele, C. Secombe and W. Brookes, "Using Wireless Sensor Networks for Aged Care: The Patient's Perspective," Pervasive Health Conference and Workshops, 2006, pp. 1-10, 2006. [2] D. Foley, S. Ancoli-Israel, P. Britz and J. Walsh, "Sleep disturbances and chronic disease in older adults: results of the 2003 National Sleep Foundation Sleep in America Survey," J. Psychosom. Res., vol. 56, pp. 497-502, May. 2004. [3] P. Varady, S. Bongar and Z. Benyo, "Detection of airway obstructions and sleep apnea by analyzing the phase relation of respiration movement signals," Instrumentation and Measurement, IEEE Transactions on, vol. 52, pp. 2-6, Feb. 2003. [4] K. P. Cohen, W. M. Ladd, D. M. Beams, W. S. Sheers, R. G. Radwin, W. J. Tompkins and J. G. Webster, "Comparison of impedance and inductance ventilation sensors on adults during breathing, motion, and simulated airway obstruction," Biomedical Engineering, IEEE Transactions on, vol. 44, pp. 555-566, July. 1997.