Presentation of the AngioScan team

    The AngioScan company is developing and introducing innovative non-invasive methods for early diagnosis and monitoring the effectiveness of the treatment of socially significant diseases into healthcare practice. Most attention is paid to cardiovascular diseases associated with the development of vascular atherosclerosis. Over the past year, AngioScan has developed and implemented 6 new mobile medical devices. The AngioScan line of diagnostic devices is serially produced on the basis of a unique method for assessing arterial function developed by Doctor of Medical Sciences, Professor Parfenov Alexander Sergeevich.


    The team conducts independent development of a mobile diagnostic device throughout the year. As part of the Telemedicine project, a single diagnostic platform with biological feedback based on a smartphone and a series of individual wearable modules are being developed. The MDU under development will allow for self-diagnosis of health conditions, analysis and registration of basic medical indicators, as well as receive recommendations for a healthy lifestyle, including normalizing health conditions using Biofeedback.

    The first-generation Angioscan-01P mobile diagnostic device has already been launched on the market. The concept of a single diagnostic platform for MDUs has been developed; development work is underway on several new biosensors.

    The goal of the MDU is to adapt existing breakthrough non-invasive approaches in professional medicine for individual use - this is the main difficulty, with much attention paid to the simplicity of the tests and the visibility of the diagnostic results.

    MDU is a hardware-software complex, which includes software and hardware components, which according to their functional purpose are divided into 4 groups:
    1. Biosensors - represent a whole group of diverse sensors using various physical measurement principles. The main emphasis is placed on sensors built into the headset (iUh).
    2. Compact docking station.
    3. Software for smartphones with iOs, Android operating systems.
    4. Cloud data storage.

    The concept of the team suggests that there are 2 categories of measurements performed by the MRL - ​​continuous measurements of a person’s indicators in motion and measurements performed in a calm state, sitting or lying down. When the user moves, the measurement is carried out through biosensors built into the iUh in-ear headset, which measures, analyzes, stores and transmits information via the BlueTooth wireless channel to a smartphone (iOs, Android) or a docking station. In a calm state, measurements are made using biosensors located in the dock. Also, the docking station serves to recharge the iUh module. It is possible to download, store and analyze measurement results in a cloud data storage.

    The MDU-iUh being developed is intended for a wide range of consumers and will allow them to independently, in a timely manner and objectively, learn about the risks of the occurrence and presence of various diseases at home. The planned retail price of the complex is from 6-7 thousand rubles.

    Overview of the diagnostic tools of the team:

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