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Multimodal System for Personalized Post-Stroke Rehabilitation

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Multimodal System for Personalized Post-Stroke Rehabilitation
SFScon 2021

Lithuania is the place where innovative Italian technological ideas are implemented.

A stroke is an acute disorder of cerebral circulation that damages the cells in the brain. Early diagnosis of stroke and its type determination are very important aspects in order to choose the most appropriate strategy solutions of treatment. Adequate and personalized post-stroke rehabilitation is essential for further treatment of patient and recovery of his health. In order to personalize a rehabilitation process and choose an optimal option, a wide variety of appropriate decisions are needed, including multi-functional hardware and software tools.
The developed multimodal system for personalized post-stroke rehabilitation provides the ability to monitor the brain function, cardiovascular and neuro-motor systems activity. The brain activity and movements will be monitored as the patient repeats physical and rehabilitative play exercises using virtual/augmented reality module in order to assess neuro-motor system performance. Using this system, electroencephalography (EEG) and functional near-spectrum infrared spectroscopy (fNIRS) solutions will be able to monitor the brain electrical and hemodynamic activity, respectively, and an electromyography (EMG) module will be able to monitor muscle dynamic activity. Cardiovascular activity will be monitored using a smart bracelet. Structural changes in the brain will be monitored by multi-channel bio-impedance measurements. Objective measurement data will be combined with subjective data to help make decisions about post-stroke rehabilitation assistance.
After assessing the post-stroke condition of patient, the physician and the rehabilitator will be able to form a personalized rehabilitation program that defines the system configuration. According to this program, the patient will perform physical exercises and receive feedback, which will be formed according to the parameters of physiological signals from sensors. The patient efforts and progress will also be recorded on the data server. Based on these data, the progress of rehabilitation will be monitored by medical staff, who could respond to the current situation as needed.

Speakers: Rosita MakauskienÄ—