An AI-based approach for decision-making in Hybrid E-rehabilitation

Oral Presentation. 2021 IEEE 11th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. Cracow University of Technology. Cracow, Poland September 22–25, 2021.

The title of my presentation is An AI-based approach for decision-making in Hybrid E-rehabilitation. This research is done by the team of Glushkov Institute of Cybernetics of the National academy of sciences of Ukraine.

Our team includes: Oleksandr Palagin, Vitalii Velychko, Kyrylo Malakhov

This research takes place as a part of the project of the National research foundation of Ukraine. The project title is - "Transdisciplinary intelligent information and analytical system for the rehabilitation processes support in a pandemic (TISP)".

The current epidemiological situation in the world caused by COVID-19 disease requires the intensive use of modern information and communication technologies for remote interaction, in particular, in the field of rehabilitation medicine and physical therapy.

The new term in rehabilitation medicine and physical therapy has raised - hybrid e-rehabilitation.

This new term includes the following essential parts:

• Telecommunication technologies (that means the delivery of rehabilitation services over telecommunication networks and the internet. Also, this allows patients to interact with providers remotely and can be used both to assess patients and to deliver therapy);

• Rich Internet Applications (first of all this is the hospital information systems. HIS - is a comprehensive, integrated information system designed to manage all the aspects of a hospital's operation, such as medical, administrative, financial, and legal issues and the corresponding processing of services. Another feature of such systems is the provision of communication between the patient and the doctors from the multidisciplinary rehabilitation team);

• Telemetry (this is a set of technologies that allow remote measurement, collection and transmission of information about performance indicators (physiological parameters) of the patient's body);

• Wearable devices (Wearables may be for general use, in which case they are just a particularly small example of mobile computing. Alternatively they may be for the special purposes such as fitness trackers or medical devices. They may incorporate special sensors such as accelerometers, heart rate monitors, or on the more advanced side, electrocardiogram (ECG) and blood oxygen saturation (SpO2) monitors);

• Biofeedback (Biofeedback is the process of gaining greater awareness of many physiological functions of one's own body. Biofeedback may be used to improve health, performance, and the physiological changes that often occur in conjunction with changes to thoughts, emotions, and behavior. Recently, technologies have provided assistance with intentional biofeedback.);

• Virtual assistants is a software agent that can perform tasks or services for individual based on commands or questions;

• Artificial Intelligence methods and applications for extracting knowledge from data and solving analytical tasks.