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Developing an Exercise Games Ontology Towards Standard Rehabilitation Clinical Terms | IEEE Conference Publication | IEEE Xplore

Developing an Exercise Games Ontology Towards Standard Rehabilitation Clinical Terms


Abstract:

Exercise games became one of the alternative tools used in rehabilitation programs. With interactive and enjoyable approaches by the exercise games, it can promote better...Show More

Abstract:

Exercise games became one of the alternative tools used in rehabilitation programs. With interactive and enjoyable approaches by the exercise games, it can promote better progress in rehabilitation for the patients. However, the terms used in the exercise games are not fully complying with the rehabilitation terms from the medical practitioner community. These issues cause difficulties in measuring the patient's progress and managing patient rehabilitation data. The standard terms and definitions as well relationship between the terms is required to promote standard/uniform understanding between the exercise games developers and medical practitioners Its very crucial in managing rehabilitation data and patient progress evaluations. This paper aims to come out with a standard ontology of the rehabilitation data that mapped the exercise games data, terms, and definitions with standard medical ontology specifically for the rehabilitation-related terms and definitions. Authors focusing on the MIRA platform rehabilitation ontology represent the exercise games mapped with the SNOMED-CT (Systematized Nomenclature of Medicine - Clinical Terms) ontology. The MIRA ontology was extracted from the patient's data that play various games with different movements. The MIRA ontology was developed in Protégé platforms. The relationship between the classes and sub-classes was tested using a SPARQL query language. From the tested query, we can conclude that the MIRA ontology can be mapped with the standard medical ontology, SNOMED-CT used by physicians and other healthcare providers, especially for the electronic exchange of clinical health data.
Date of Conference: 16-18 December 2022
Date Added to IEEE Xplore: 14 April 2023
ISBN Information:
Conference Location: Beijing, China
Universiti Sains Islam Malaysia, Nilai, Malaysia
INTI International University, Nilai, Malaysia
Universiti Kebangsaan Malaysia, Bangi, Malaysia
Universiti Sains Islam Malaysia, Nilai, Malaysia
Universiti Sains Islam Malaysia, Nilai, Malaysia

Universiti Sains Islam Malaysia, Nilai, Malaysia
INTI International University, Nilai, Malaysia
Universiti Kebangsaan Malaysia, Bangi, Malaysia
Universiti Sains Islam Malaysia, Nilai, Malaysia
Universiti Sains Islam Malaysia, Nilai, Malaysia

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