No abstract

The objective of this work was to study a wireless one channel limited (3-lead) home electrocardiogram (ECG) transmission system and ambulatory devices data transmission using telephone lines. ECG screenings were conducted in two groups. The first group consisted of construction workers examined at first aid stations at construction sites in Moscow, Russia. The second group was a selected set of patients admitted to a hospital in Tblisi, Republic of Georgia. All patients were on constant monitoring and follow-up after hospitalization. Patients themselves connected the ECG leads at home or with the help of paramedics at ambulatory stations. The ECG signals were transmitted to receiving stations where doctors interpreted them. Frequency modulation was used for ECG transmission over regular telephone lines. Of 231 readings in 74 patients--70 male and 4 female (age 21-56)--in the first group, 33 patients were abnormal. In the second group, 15 out of 165 readings in 8 patients--5 male and 3 female (age 31-70)--were abnormal. ECG screening can be significantly simplified and made widely acceptable at home and distant sites using wireless monitoring tools and telephone line transfer of the signal. This project has been implemented under the auspices of the International Telecommunication Union and the Russian Telemedicine Foundation.

No abstract

Уникальность электрической активности сердца каждого человека побуждает использовать электрокардиограмму в качестве биометрического параметра в различных системах безопасности и аутентификации в связи с легкостью и дешевизной извлечения сигнала, а также сложностью его подделки и недобровольного извлечения. На данный момент применяют различные подходы к исследованию возможности идентификации человека по ЭКГ. Режим иден-тификации включает в себя следующие стадии: сбор данных, обработка, извлечение характерных признаков, клас-сификация. На каждом из этих этапов группы исследователей используют различные математические алгоритмы: метод главных компонент, вейвлеты, нейронные сети и т. п. В статье рассмотрены наиболее значимые исследования в области идентификации человека по ЭКГ. Проведено сравнение результатов и точности концептуальных подходов.The uniqueness of electrical activity of every human heart prompts us to use the ECG as a biometric parameter in various security and authentication systems as it is easy and cheap to extract the signal and difficult to fake it or obtain nonconsensually. At the moment various approaches to researching a possibility of human identification by ECG are used. Identification mode includes the following stages: data collection, procession, feature extraction, classification. Researchers use different mathematical algorithms at every stage: principal component analysis, wavelets, neural networks, etc. This article reviews the most significant studies of ECG based human identification and compares their results and accuracy of conceptual approaches.

Currently, a number of manufacturers offer devices for self-registration of ECG and other parameters of the cardiovascular system (CVS) by patients and signal analysis using telemedicine technologies. This makes it possible to create medical services based on mobile remote monitoring. The purpose of the article: a review of existing telemedicine solutions for individual ECG recording and related mobile applications and server-side data analysis software for assessing applicability in functional diagnostics and cardiology services. The article highlights the history of the development of methods for telemedicine analysis of ECG, provides a comparative review of modern solutions for medical cardioregistration. Findings. 1. Individual ECG telemonitoring is a promising technology that is comparable in terms of diagnostic capabilities to assess cardiac rhythm disturbances with Holter ECG monitoring and multifunctional monitoring implanted with ECG loopback recorders. The main vector of development of individual ECG telemonitoring systems is related to the automation of ECG analysis both on the server side and in the patient’s mobile application, for this the application of artificial intelligence and big data (bigdata) is promising. 2. Telecardiogram of an electrocardiogram promotes closer contact of the patient and medical service at the minimum expenses of time for such interaction.