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Tuesday, July 9 • 12:10 - 12:30
DIAGNOSING OSTEOPOROSIS FROM TAPPING RESPONSES USING MACHINE LEARNING

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DIAGNOSING OSTEOPOROSIS FROM TAPPING RESPONSES USING MACHINE LEARNING Li, Francis; Umnova, Olga; Scanlan, Jamie; Rakoczy, Gyorgy; and Lövey, Nóra Osteoporosis is a prevalent but asymptomatic condition that affects a large number of people in elderly population, causing bone fragility and resulting further in a significantly increased risk of fracture. Several methods have been developed and are currently available in specialist departments of general hospitals to assess the bone quality and diagnose osteoporosis; however these are accessed via referrals of general practitioners, not broadly available for screening testing in primary healthcare settings such as general practitioner or family doctors' clinics for a number of logistic and cost constraints. This paper describes a new method that uses a medical grade reflex hammer to exert testing stimuli, i.e. tapping, an electronic stethoscope to pick up impulse responses of tibia, and intelligent signal processing based on machine learning to determine the likelihood of osteoporosis.

Moderators
SL

Sébastien Laurier Chapleau

Senior Technical Specialist - Innovation - Dynamics & Acoustics, Bell (Flight)

Authors

Tuesday July 9, 2019 12:10 - 12:30 EDT
Westmount 3
  T10 Sig. Proc. & nonlin. mthds., RS03 Machinery health monit