Headset Bluetooth and Cell Phone based Continuous Central Body Temperature Measurement System J. Miguel Sanches1,2, Bruno Pereira2 and Teresa Paiva3,4 - PowerPoint PPT Presentation

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Headset Bluetooth and Cell Phone based Continuous Central Body Temperature Measurement System J. Miguel Sanches1,2, Bruno Pereira2 and Teresa Paiva3,4

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... increases when the derivative of the signal increases and The sampling rate decreases in the slow changes regions Adaptive Sampling Filtering Kalman Filter ... – PowerPoint PPT presentation

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Title: Headset Bluetooth and Cell Phone based Continuous Central Body Temperature Measurement System J. Miguel Sanches1,2, Bruno Pereira2 and Teresa Paiva3,4


1
Headset Bluetooth and Cell Phone based
Continuous Central Body Temperature Measurement
SystemJ. Miguel Sanches1,2, Bruno Pereira2 and
Teresa Paiva3,4
  • 1Institute for Systems and Robotics
  • 2Instituto Superior Técnico
  • 3Centro de Electroencefalografia e
    Neurofisiologia Clínica
  • 4Faculdade de Medicina da Universidade de Lisboa
  • Lisboa, Portugal

2
Abstract
  • The accurate measure of the central temperature
    is a very important physiologic indicator in
    several clinical applications, namely, in the
    characterization and diagnosis of sleep
    disorders.
  • In this work, a simple system is described to
    continuously measure the body temperature at the
    ear.
  • An electronic temperature sensor is coupled to
    the microphone of a common commercial auricular
    Bluetooth device that sends the temperature
    measurements to a mobile phone to which is
    paired.
  • The measurements are stored at the mobile phone
    and periodically sent to a medical facility by
    email or SMS (short messaging service)

3
Circadian Cycle of Melatonin Secretion
  • Direct measurement of melatonin secretion is
    difficult and it is only possible in laboratory
    or medical facilities.
  • The most used method to indirectly estimate the
    circadian rhythm of melatonin secretion is the
    central body temperature

4
System
5
Electronic Circuit
6
Adaptive Sampling
  • Optimize the energy consumption of the auricular
    and increase its operation time.
  • The sampling rate is adaptively estimated
    according to the evolution of the temperature
    curve estimated up to the current time.
  • The sampling rate increases when the derivative
    of the signal increases and
  • The sampling rate decreases in the slow changes
    regions

7
Adaptive Sampling
8
Filtering
9
Kalman Filter
10
Kalman Filter missing data
  • Filter Sequence

11
Experimental Results
12
References
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