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Digital ECG data analysis is a trending concept in the field where applied computer science and medicine coincide. Therefore, in order to meet the requirements that arise, our R&D team has created an environment where developers can test different approaches in data processing. To assist the objective, the platform offers a number of features with the following main target goals: 1) to increase...
Biomedical time-series analysis deals with detection, classification and prediction of subjects' states and disorders. In this paper, we present requirements and scenarios of use for a novel web platform designed to analyze multivariate heterogeneous biomedical time-series. The scenarios of use are described with the corresponding UML Use Case Diagrams. We also discuss some architectural and technological...
The differential ECG measurement is performed by a small gadget attached to a person's chest. In contrast to the standard 12-channel ECG, which is most often short and measured on a resting subject, the small form factor of the gadget allows for several days long measurement of active subjects. The resulting measurements are not only novel in their time and activity coverage, but they also require...
The precise heart rate variability is extracted from an ECG signal measured by a wearable sensor that constantly records the heart activity of an active subject for several days. Due to the limited resources of the wearable ECG device the signal can only be sampled at relatively low, approximately 120 Hz, frequency. Besides low sampling rate the signal from a wearable sensor is also burdened with...
ICT technology on primary care sector can significantly improve the level of health care and consequently reduce its costs. Some initial results are shown in this paper obtained from the pilot study in the region of Ljubljana, Community Health Centre (CHC). ECG body sensors have been made available to several volunteers with potential disturbances in the heart rhythm in order to reach evidence based...
Long-term electrocardiographic (ECG) recordings can be beneficial for detection and diagnosis of heart diseases, in particular arrhythmias. A wireless multi-function biosensor that measures a potential difference between two proximal electrodes on the skin enables monitoring of vital functions, like heart rate, respiration and muscular activity. It can thus make long-term ECG measurements while users...
NevroEkg is a computer application for analysis of ECG and related bio-signals, such as breathing and blood pressure. It was made in collaboration between computer scientists, engineers and neurocardiologists. Recently, it has been modified to also support the unconventional measurements of differential ECG, made on wireless wearable gadgets. These wearable gadgets measure ECG a bit differently —...
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