OBJECTIVE To investigate the link between changes in level of physical activity and the pattern of heart rate variability during long term ambulatory monitoring. DESIGN Heart rate variability was measured simultaneously with a quantitative indicator of muscle activity by electromyography (EMG) in five men and five women while they did activities typical of daily life or while they rested for ...

Diabetes affects almost one million Australians, and is associated with many other conditions such as vision loss, heart failure and stroke. Any improvement in early diagnosis would therefore represent a significant gain with respect to reducing the morbidity and mortality of the Australian population. In this study we apply signal processing and automated machine learning to analyse heart rate...

The heart rate signal contains useful information about the condition of the human heart which cannot be extracted without the use of an information processing system. Various techniques for the analysis of the heart rate variability (HRV) have been proposed, derived from diverse scientific fields. In this paper we examine theoretically and experimentally the most commonly used algorithms as we...