Big medical data and improving the efficiency of electronic measuring instruments for recording various biomedical signals

Currently, the problem of processing large medical data is urgent. The development of effective electronic measuring devices for recording basic biomedical signals is the basis for the successful application of new technologies. The purpose of this work was to conduct an extensive analysis of the use of big data in the field of medicine, as well as to increase the efficiency of electronic measuring converters of biomedical signals by improving existing converters and modeling electrical circuits of different filters to implement various functions of medical devices. The nature of artifacts in biomedical signals is investigated and ways to solve the problem using signal filtering are proposed. Methods for eliminating high-frequency noise and periodic artifacts are presented, and filtering in time domains of the frequency domain is considered. The selection of a suitable filter is described. A solution to the problem of noise reduction is proposed – the use of a hardware complex, which is a filter system. A comparison of the technical characteristics and electrical circuits of this complex with analogues is given. The hardware complexes proposed in the work can be used in conjunction with existing measuring instruments for diagnosis, monitoring, and assessment of the condition of various patients to provide truthful information about the patient's physiological parameters.