Publication Type : Conference Paper
Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Source : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Jaipur, India (2016)
Url : https://ieeexplore.ieee.org/document/7732272
Campus : Bengaluru
School : School of Engineering
Center : Electronics Communication and Instrumentation Forum (ECIF)
Department : Electronics and Communication
Verified : Yes
Year : 2016
Abstract : Osteoporosis is an age related disorder manifested by skeletal fractures. This has been recognized as an important health issue mainly in women. Low bone mineral density is the major cause for osteoporosis. Detection and prediction of osteoporosis is a major challenge. Detection of osteoporosis helps in determining the density of the bone and also in the prevention of osteoporotic fractures in the high risk populations. In this study an easy first line method has been proposed to detect and predict osteoporosis. Impulse response test was carried out on the tibial bone for the detection of osteoporosis with the help of LabVIEW. The vibrations which were generated by the periodic impact of surgical hammer were captured by the accelerometer. The recorded analog signal was examined in frequency domain. The natural frequency of the vibration was significantly decreased in osteoporosis subjects which in turn indicate the loss in mechanical strength of the bone and bone mineral density. Prediction of osteoporosis was performed using a decision making system such as ANN in Matlab where factors other than bone mineral density was considered.
Cite this Research Publication : E. Tejaswini, Vaishnavi, P., and R. Sunitha, “Detection and prediction of osteoporosis using impulse response technique and artificial neural network”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 2016.