Metrological verification of an intelligent measurement interface for implementing the Tinetti Mobility Test in student rehabilitation

Abstract

Mild traumatic brain injury from blast wavesinjuries (blast TBI), this problem is considered a priority in Ukraine. The study is theperformedis is the metrological verification of an intelligent measurement interface for the implementation of the Tinetti Mobility Test (TMT) for students with disabilities resulting from blast TBI. Materials and methods. Theoretical methods (analysis, synthesis, generalization, modeling) and empirical methods (pedagogical experiment and methods of mathematical statistics) were used. The TMT was chosen to conduct the experiment. The participants in the experiment, students aged 19-23 (n – 38), had acquired disabilities as a result of blast TBI without acute conditions. Results. An intelligent measurement interface was developed to implement the TMT. A key element of the development is the use of new-generation artificial intelligence (AI)-based sensors – «smart sensors». In the developed infrastructure, it is essential to combine smart sensors into a coherent structure of an intelligent measurement interface to implement the TMT. Real-time data recorded by sensors placed on the student performing TMT and along the test trajectory is sent to the Sitara microprocessor, which processes the signal and calculates it instantly. Data is transmitted via Bluetooth Low Energy protocols. In the microprocessor, TMT data is analyzed using specialized software and then stored. Programming was carried out in the Bloodshed DEV C++ environment. Data analysis in the developed infrastructure is carried out using artificial intelligence (AI) algorithms. A distinctive feature of the developed intelligent measurement interface for implementing TMT for students with disabilities due to blast TBI is the integration of virtual reality technologies. Determination of the reliability and validity of measurements using the interface demonstrated a range of reliability from medium to high for parameters determined using TMT. Recording the results of TMT performance in manual mode confirmed the average level of TMT metrological characteristics. Conclusions. For the first time, a study was conducted on a population of students with disabilities due to blast TBI in a higher education setting. Unlike manual methods, digital recording of locomotion time parameters provides high test discrimination.