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Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques

  • Image & Signal Processing
  • Published:
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Abstract

Cerebral Palsy (CP) is a non progressive neurological disorders commonly associated with a spectrum of developmental disabilities such as strabismus (misalignment of eye). The Eye image are captured through camera, this make the quick diagnosis and examination the periodical assessment for CP kids. By capturing the Eye Movement of 40 children with CP (aged 3–11 years) with relatively mild motor-impairment and also we have analyzed the performance of CP children periodically. Nowadays, Bio-Medical image processing and Machine learning Classification algorithm used for detection and diagnosis the certain diseases and plays the important tool to decrease the risk of any diseases. This work presents a computational methodology to automatically diagnose the Improvement of CP children and performance can be evaluated. The alternate medical evaluation techniques have shown their potential for the treatment and diagnosis of disease like strabismus and nystagmus for CP kids. The proposed method is used to measure and quantify the performance improvement by classify the abnormal eye condition of CP kids and these results attained by machine learning method. The results show the best classification accuracy of 94.17% calculated from Neural Network Classifier. Specificity Rate were absorbed as 0.9800 and Sensitivity Rate were absorbed as 0.9165 respectively. The proposed method for non-invasive and automatic detection of abnormalities in CP kids and evaluates the performance improvement more accurately.

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Funding

This Project was funded by DST-SERB (Department of Science and Technology-Science and Engineering Research Board) through the Fund Grant Number (EMR/2017/000073).

Author information

Authors and Affiliations

  1. Faculty of Information and Communication Engineering, CEG, Anna University, Chennai, India

    P. Illavarason

  2. Department of CSE, Jeppiaar Engineering College, Chennai, India

    J. Arokia Renjit

  3. Department of IT, Jeppiaar Engineering College, Chennai, India

    P. Mohan Kumar

Authors
  1. P. Illavarason
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  2. J. Arokia Renjit
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  3. P. Mohan Kumar
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Corresponding author

Correspondence to P. Illavarason.

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Conflict of interest

None.

Research involving human participants

The authors would like to thank the participants from Dr. Durgabai Deshmukh General Hospital and Research center, Iswari Prasad Dattatreya Special School (Andhra Mahila Sabha) Adyar, Chennai, for helping us with the data collection process and also author thank Dr. Vijayalakshmy J, Dept. of Medical Science and Rehabilitation from NIEPMD (National Institute for Empowerment of person with multiple disabilities), Govt. of India, Muttukadu, at Chennai, for Investigated the several case studies and Visual Problems in CP kid.

Informed consent & ethical approval

This study has been approved by the Ethics Committee of the NIEPMD. All participants provided informed consent for participation in the study.

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Illavarason, P., Arokia Renjit, J. & Mohan Kumar, P. Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques. J Med Syst 43, 278 (2019). https://doi.org/10.1007/s10916-019-1410-6

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