Classifying Self-Care Activities of Children and Youths with Disabilities

The classification of functioning and disabilities in children and youths is an important task that informs healthcare. The ICF-CY (International Classification of Functioning, Disability, and Health in Children and Youth) provides a standard framework for such classification. Occupational therapists use the ICF-CY in conjunction with observations of the routine activities performed by a child (such as eating, toileting, washing) to determine a suitable diagnostic group. This paper presents a method for assisting occupational therapists and others in this task using machine learning. The method is studied experimentally using a publicly available dataset of self-care activities.

[1]  Khaled Elleithy,et al.  Epilepsy seizure detection using EEG signals , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).

[2]  Yonghong Zhang,et al.  Mobile learning with Bluetooth-based e-learning system , 2005, 2005 2nd Asia Pacific Conference on Mobile Technology, Applications and Systems.

[3]  Liyun Wu,et al.  A remotely controlled Bluetooth enabled environment , 2004, First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004..

[4]  S. Mcleod,et al.  The ICF-CY and children with communication disabilities , 2008 .

[5]  Gary M. Weiss,et al.  Smartwatch-based transcription biometrics , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).

[6]  Himadri Nath Saha,et al.  Internet of Thing based healthcare monitoring system , 2017, 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

[7]  Megan Sheeran,et al.  A framework for big data technology in health and healthcare , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).

[8]  S. Rajkumar,et al.  Development of Improved Software Intelligent System for Audiological Solutions , 2018, Journal of Medical Systems.

[9]  Joel J. P. C. Rodrigues,et al.  A Novel Web-enabled Healthcare Solution on HealthVault System , 2010, 2010 The 5th Annual ICST Wireless Internet Conference (WICON).

[10]  Himadri Nath Saha,et al.  Accident and alcohol detection in bluetooth enabled smart helmets for motorbikes , 2018, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC).

[11]  Rune J Simeonsson,et al.  Diagnosis to Function: Classification for Children and Youths , 2005, Journal of developmental and behavioral pediatrics : JDBP.

[12]  Khaled Elleithy,et al.  Smart phone application development for monitoring epilepsy seizure detection based on EEG signal classification , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).

[13]  Mohsen Sardari Zarchi,et al.  SCADI: A standard dataset for self-care problems classification of children with physical and motor disability , 2018, Int. J. Medical Informatics.

[14]  Gwendolyn B. Moore Robotics, Artificial Intelligence, Computer Simulation: Future Applications in Special Education , 1986 .

[15]  Joseph Finkelstein,et al.  Data mining approaches to identify predictors of frequent malpractice claims against dentists , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).

[16]  Xuan Zeng,et al.  Hear the heart: Daily cardiac health monitoring using Ear-ECG and machine learning , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).

[17]  Tung-Hsu Hou,et al.  An intelligent model for the classification of children's occupational therapy problems , 2012, Expert Syst. Appl..