Autosoft Journal

Online Manuscript Access

Tibia Fracture Healing Prediction Using Adaptive Neuro Fuzzy Inference System



An artificial intelligent approach based human tibia fracture healing diagnosis using DC electrical stimulation, a technique to be used by orthopedists both for bone fracture treatment and also healing assessment, is described. Electrical data recorded across 20 different tibia fracture patients whose fracture site was stabilized using Teflon coated rings and a DC input voltage of 0.700A0V was applied via K-wires were used to train the networks. The novel element is the data processing, which incorporates neural network and Adaptive Neuro Fuzzy Inference System (ANFIS) for estimating the fracture reunion is demonstrated in 20 patients. The ANFIS model was developed using least square method and gradient descent method having 32 Gaussian membership functions. The performance of ANFIS model developed was evaluated in terms of training epochs, prediction accuracy and absolute error in healing prediction. ANFIS Relative Absolute Error (RAE) was Zero. The performance evaluation shows ANFIS us a better diagnostic to an orthopedic surgeon for the fracture reunion prediction.



Total Pages: 5
Pages: 359-363


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 23
Issue: 2
Year: 2016

Cite this document


Bhandari, Mohit et al. "A Lack of Consensus in the Assessment of Fracture Healing Among Orthopaedic Surgeons." Journal of Orthopaedic Trauma 16.8 (2002): 562-566. Crossref. Web.

Goldstone, Karen, and Stuart J. Yates. "Radiation Issues Governing Radiation Protection and Patient Doses in Diagnostic Imaging." Grainger & Allison”s Diagnostic Radiology (2008): 159-171. Crossref. Web.

Hossein M.S.S. Journal of Medical Signals & Sensors 2.1 (2012)

Kumaravel S. Biomed SciInstrum

Kumaravel, Shanmugasundaram, and S Sundaram. "Monitoring of Fracture Healing by Electrical Conduction: A New Diagnostic Procedure." Indian Journal of Orthopaedics 46.4 (2012): 384. Crossref. Web.

Kumaravel S. Research Journal of Pharmaceutical, Biological and Chemical Sciences

Sridevi M. International Journal of Applied Engineering Research


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048