Distributed intelligent architecture for falling detection and physical activity analysis in the elderly

  • Prado M
  • Reina-Tosina J
  • Roa L
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Abstract

A novel approach for the detection of falls, the analysis of body postures, mobility and metabolic energy expenditure of elderly people has been developed. It is based on a distributed intelligence architecture, supported by it wireless personal area network (WPAN) which allows a full 24-hour supervision of the user, both indoor and outdoor home. An open design methodology lets the addition of new sensors for the on-line monitorization or other biosignals. In this paper general guidelines and design issues are reported, with special emphasis on the Intelligent Accelerometer Unit (IAU), based on a four-axis accelerometer, the signals of which are transmitted to the WPAN server (PSE) for on-line processing. The availability of three axis in the median plane provides an inclination measurement with high sensibility. The IAU can be worn like a patch, fixed to the back, at the height of the sacrum. A prototype of the IAU is currently under validation phase, in order to optimize signal transmission between IAU and PSE.

Author-supplied keywords

  • 24 hr
  • Accelerometers
  • Biosensors
  • Design methodology
  • Guidelines
  • Intelligent networks
  • Intelligent sensors
  • Monitoring
  • Senior citizens
  • Signal design
  • WPAN server
  • Wireless personal area networks
  • accelerometers
  • biomechanics
  • computer architecture
  • distributed intelligent architecture
  • elderly people
  • falling detection
  • four-axis accelerometer
  • four-axis accelerometers
  • geriatrics
  • inclination measurement
  • intelligent accelerometer unit
  • intelligent sensors
  • medical signal processing
  • on-line processing
  • personal area networks
  • physical activity analysis
  • sacrum
  • signal transmission optimization
  • telehealthcare
  • telemedicine
  • transmitted signals
  • validation phase

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Authors

  • M. Prado

  • J. Reina-Tosina

  • L. Roa

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