University of Huddersfield Aids Digital Health Monitoring in Thailand

The University of Huddersfield has recently taken part in the second plenary meeting of its Digihealth-Asia project and continues to work with European and Asian partners towards its completion. The meeting was held in Mae Fah Luang University and Chiang Mai University, Thailand. 

Digihealth-Asia is a European Union funded Erasmus+ Capacity Building Project for research and development in various use-cases of exploiting digital technologies for better healthcare monitoring. The project aims to develop artificial intelligence (AI) driven healthcare for cardiovascular diseases, early childhood dental caries detection and prevention and elderly care. These use-cases will not only help in the diagnosis, clinical decision making and prognosis of the conditions but will be the focal subject of new curriculum streams that will be launched in Asian partner institutions on the project.  

Digihealth Joint Photo
Left to right: Digihealth-Asia partners with the President of Mae Fah Luang University in Chiang Rai, and at Chiang Mai University in Chiang Mai, Thailand

Dr. Qasim Ahmed and Dr. Maryam Hafeez from the School of Computing and Engineering’s, Department of Engineering and Technology are collaborating with Mae Fah Luang University (MFU) for detecting and monitoring mobility disorders and instances of fall. As a part of the meeting, they visited the MFU Hospital and participated in the digital data collection process for sit-to-stand and balance tests. They will be further collaborating on using AI techniques to detect imbalance between left and right parts of body for fall detection and prevention.  

At Chiang Mai University (CMU), the collaboration is around rehabilitation of mobility disorders. Exercise data of individual patients is being digitally collected to use machine learning techniques to customize exercises and recommendations for them. Dr. Ahmed and Dr. Hafeez will continue to work with the partner institutions for not only carrying out the research but also for translating the outcomes into degree courses and streams over the coming years. 

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