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NSUU: Digital Cardiograph

Product
Developers: Nizhny Novgorod State University named after N.I. Lobachevsky (NNSU)
Date of the premiere of the system: February 2024
Branches: Pharmaceuticals, Medicine, Healthcare

2024: Product Announcement

At the end of January 2024, specialists from the N. I. Lobachevsky National Research Nizhny Novgorod State University (NNSU) announced the development of a Russian digital cardiograph based on artificial intelligence. This device transmits data to a smartphone, which allows you to quickly identify possible pathologies.

The system is a hardware and software complex consisting of several modules. This, in particular, is a mini-cardiograph that is fixed on the patient's chest: it records the performance of the heart. The obtained data is transmitted using a mobile application to the server, where they are analyzed using special algorithms. The results are available to both the doctor and the user himself: you can view the ECG data and the description of the indicators.

source = PharmMedProm
NNSU specialists created a digital cardiograph based on AI

It is noted that the device can detect pathological changes, record arrhythmias and predict the possibility of sudden death based on the current condition of the patient's heart. In general, the new Russian platform expands the possibilities of early diagnosis of diseases of the cardiovascular system and remote control over the health of patients. It is expected that the solution will be used not only in medical institutions, but also in home conditions.

The device's software uses a database that includes tens of thousands of electrocardiogram records. This is information about patients aged 17 to 80 years. A medical report was drawn up for each case. Thanks to sampling-based machine learning technologies, the system automatically builds diagnosis algorithms. It is claimed that the accuracy of diagnostics of the device varies from 86.9% to 95.1%. Analysis of the results of machine decoding of ECG showed that the capabilities of neural networks can be used to automatically analyze the work of the heart.[1]

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