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Machine learning and DSP algorithms for screening of possible osteoporosis using electronic stethoscopes

Scanlan, J; Li, FF; Umnova, O; Rakoczy, G; Lövey, N

Machine learning and DSP algorithms for screening of possible osteoporosis using electronic stethoscopes Thumbnail


Authors

J Scanlan

FF Li

O Umnova

G Rakoczy

N Lövey



Abstract

Osteoporosis is a prevalent but asymptomatic condition that affects a large population of the elderly, resulting in a high risk of fracture. Several methods have been developed and are available in general hospitals to indirectly assess the bone quality in terms of mineral material level and porosity. In this paper we describe a new method that uses a medical reflex hammer to exert testing stimuli, an electronic stethoscope to acquire impulse responses from tibia, and intelligent signal processing based on artificial neural network machine learning to determine the likelihood of osteoporosis. The proposed method makes decisions from the key components found in the time-frequency domain of impulse responses. Using two common pieces of clinical apparatus, this method might be suitable for the large population screening tests for the early diagnosis of osteoporosis, thus avoiding secondary complications. Following some discussions of the mechanism and procedure, this paper details the techniques of impulse response acquisition using a stethoscope and the subsequent signal processing and statistical machine learning algorithms for decision making. Pilot testing results achieved over 80% in detection sensitivity.

Citation

Scanlan, J., Li, F., Umnova, O., Rakoczy, G., & Lövey, N. (2018, October). Machine learning and DSP algorithms for screening of possible osteoporosis using electronic stethoscopes. Presented at 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018), Polytechnic University of Bari, Italy

Presentation Conference Type Other
Conference Name 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018)
Conference Location Polytechnic University of Bari, Italy
Start Date Oct 11, 2018
End Date Oct 13, 2018
Acceptance Date Sep 10, 2018
Publication Date Oct 13, 2018
Deposit Date Oct 30, 2018
Publicly Available Date Oct 30, 2018
Series Title International Conference Proceedings
Book Title Proceedings, 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018)
ISBN 9781450364775
DOI https://doi.org/10.1145/3288200.3288215
Publisher URL https://doi.org/10.1145/3288200.3288215
Related Public URLs http://www.icbsp.org/index.html
https://dl.acm.org/dl.cfm
Additional Information Additional Information : ISBN: 9781450364775
Event Type : Conference

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