Proposal of a Context-sensitive ECG Collection Mobile Health System for Ambulatory Cardiovascular Diseases.

Abstract

This study brings innovation oriented to the development of e-health services to improve the performance of healthcare and hospital care in free-living activities. This article seeks to propose an innovative mobile software that enables the contextualization of clinical data, while integrating the fundamental functionalities and usability criteria of a mobile health (mhealth) system. We examine the utility of a context-sensitive mobile electrocardiogram (ECG) collection system for the detection of cardiovascular diseases for patients in free-living conditions. We propose an mhealth system that reinforces conventional healthcare systems in which electronic health records are limited by access and processing of data, limiting clinical-medical decision-making. This study highlights the importance of mobile applications for self-care and their usefulness for both patients and healthcare providers. The proposal offers an avenue for the study of contextualized ECG collection methods that can be used to create context-specific actions that reduce false alarms in computer-aided diagnosis of ambulatory ECG. Mobile applications for health care and monitoring improve the quality of life of people with cardiovascular diseases.