Digital Twins of Historical Psychotechnical Instruments: IoT-Driven Measurements for Medical Diagnostics, Research, and Education

This paper presents a comprehensive laboratory project aimed at reconstructing and digitizing nearly 400 historical psychotechnical instruments as digital twins. These digital replicas will be integrated into an IoT-based medical system, enabling remote data acquisition, analysis, and reporting. The project involves the 3D virtual reconstruction of the instruments, followed by their physical realization through 3D printing, sensor integration, and circuit design. The digital twins will be optimized for computational use, allowing for remote interaction with human subjects wearing sensors. The system will simulate psychological processes, analyze collected data, and generate reports based on the specific metrics of each instrument. Additionally, the laboratory will develop a data platform that aggregates existing experimental data and new data from the digital twins. This platform will be integrated into a broader multi-omics medical project, facilitating cross-disciplinary research and enhancing the understanding of human cognitive and physiological processes. Furthermore, the digital twins will be made accessible to a wide audience, including students and the general public, through an interactive 3D environment. This environment will feature technical sheets detailing the history, constructors, and experiments associated with each instrument, offering an educational resource for understanding the historical roots of psychological and medical technology. This innovative approach bridges historical psychotechnical tools with modern IoT technology, offering new possibilities for psychological assessment, research, and education.