In the study the authors adopt a new systematic approach to the early diagnosis of dementia as part of the paramedical first aid system. The main task is to identify dementia at an early stage. The authors processed open statistical medical data. An algorithm for emulating reflected signals of hippocampal structures has been developed. The necessity of predictive modeling and development of a software module is substantiated. The research presents an analysis of existing foreign software solutions. A review of the requirements of medical standards was carried out. The environment of the software implementation of the "software emulator of hippocampal signals" is defined. The substantiation of the software implementation environment is carried out. The choice of hardware implementation tools was carried out. The stages of design are presented. The characteristics of hippocampal rhythms are described. A brief description of the differences in the indicators of electroencephalograms of ill and healthy patients is given. The process of designing the architecture of the emulator and the user interface is presented. Approaches to testing and debugging of the software module are described. The study presents an algorithm for emulating hippocampal signals. The algorithm emulates the readings of electroencephalograms of brain signals of the hippocampus of a healthy and ill person. The reverse reflected signals are taken according to medical standards from the T3-T6 sensors of the international recognizing system "10-20". A software module has been developed and tested. The terms of reference for the design of the emulator is attached. The developed emulator is designed to facilitate medical research in the field of early diagnosis and detection of diseases of the brain. The use of the emulator is recommended for commercial projects using reflected signals of the hippocampal structure of the brain. The emulator is developed in Java and is cross-platform.