Algorithms for ECG analysis in mobile cardiac monitoring system

This work presents algorithms and software for the automated ECG processing and analysis in the mobile cardiac monitoring system based on smartphone. The key component of the system is portable ECG acquisition device realized in the form of smartphone case. The registered ECG is preprocessed by the smartphone software and is transferred further via Internet to the cloud service where additional computer analysis of the signal is implemented and the ECG and its analysis results are stored in the database. The data from the cloud service are available both to the patient and to his doctor. The following main functions of ECG analysis are realized by the algorithms: pacemaker spikes detection, heart rate control, cardiac arrhythmia recognition and heart rate variability analysis. Several modifications of the ECG acquisition device for iPhone series 5/5S, 6/6S are in batch production now in the frames of CardioQVARK project. At the same time the data from the system database are used permanently for the further enhancement of the algorithms

Algoritmo para el análisis en conjunto de las señales del ECG y PPG

The main objective of this research is based on finding out some assertive and robust Photoplethysmogram’s PPG & Electrocardiogram’s ECG blood pressure-related parameters by the implementation of a novel method with innovations in signal processing and analysis. The biomedical ECG and PPG signals are recorded using a mobile monitor CardioQVark. To increase the cuffless blood pressure measurement accuracy, a technique that involves not only the ECG and PPG joint parameters extraction but also some individual PPG’s morphology features, is proposed in this work. Firstly, the biomedical ECG and PPG signals are time–frequency filtered.  Secondly, some novel parameters from the morphology of photoplethysmogram signal, which may be correlated with blood pressure, are considered in addition to the pulse transit time. Additionally, a neural network is built to determine the relationship between the estimated and reference blood pressure. Finally, the correlation coefficient and regression line are obtained to evaluate the feasibility.El objetivo de esta investigación consiste en identificar aquellos parámetros provenientes de las señales del electrocardiograma ECG y fotopletismograma PPG que permitan hacer una evaluación de la presión sanguínea utilizando un dispositivo móvil. El método propuesto incluye innovaciones en el procesamiento y análisis de las señales. Con el objetivo de aumentar la precisión de la medición de la presión sanguínea, en este trabajo, se propone la utilización de parámetros provenientes de la señal del PPG en conjunto con el PTT obtenido de las señales del ECG y PPG analizadas en conjunto. Adicionalmente, se propone el diseño e implementación de una red neural para determinar la relación existente entre la presión sanguínea estimada por el método y la de referencia, lo cual permite evaluar la viabilidad del método propuesto