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Multi-sensor platform for circadian rhythm analysis

Multi-sensor platform for circadian rhythm analysis

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Irregular patterns in the circadian rhythm may cause health problems, such as psychological or neurological disorders. Consequently, early detection of anomalies in circadian rhythm could be useful for the prevention of such problems. This work describes a multi-sensor platform for anomalies detection in circadian rhythm. The inputs of the platform are sequences of human postures, extensively used for analysis of activities of daily living and, more in general, for human behaviour understanding. The postures are acquired by using both ambient and wearable sensors that are time-of-flight 3D vision sensor, ultra-wideband radar sensor and triaxial accelerometer. The suggested platform aims to provide an abstraction layer with respect to the underlying sensing technologies, exploiting the postural information in common to all involved sensors (i.e., standing, bending, sitting, lying down). Furthermore, in order to fill the lack of datasets containing long-term postural sequences, which are required in circadian rhythm analysis, a simulator of activities of daily living/postures has been proposed. The capability of the platform in providing a sensing invariant interface (i.e., abstracted from any specific sensing technology) was demonstrated by preliminary results, exhibiting high accuracy in circadian rhythm anomalies detection using the three aforementioned sensors.

Chapter Contents:

  • Abstract
  • 6.1 Introduction
  • 6.2 Materials and methods
  • 6.2.1 Detection layer
  • 6.2.1.1 TOF-based posture detector
  • 6.2.1.2 UWV-based posture detector
  • 6.2.1.3 ACC-based posture detector
  • 6.2.2 Simulation layer
  • 6.2.2.1 Long-term ADLs simulator
  • 6.2.2.2 Long-term posture simulator
  • 6.2.3 Reasoning layer
  • 6.3 Experimental results
  • 6.4 Discussion
  • 6.5 Conclusion
  • Acknowledgements
  • References

Inspec keywords: circadian rhythms; medical signal processing; image sensors; biomedical equipment; radar receivers; biomedical engineering; medical disorders; sensor fusion; accelerometers

Other keywords: triaxial accelerometer; human postures; neurological disorders; ultrawideband radar sensor; multisensor platform; wearable sensors; circadian rhythm analysis; psychological disorders; long-term postural sequences; abstraction layer; postural information; time-of-flight 3D vision sensor

Subjects: Sensor fusion; Biomedical engineering; Biology and medical computing; Biomedical measurement and imaging; Signal processing and detection

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