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Physical activity (PA) can influence heart rate(HR). But the relationship between HR and PA is hard to describe. In our previous works, HR prediction models based on PA were designed. However, the prediction time length and accuracy are usually hard to compromise. In this study, a new HR prediction method is proposed. The predicted HR is used as the input in the next prediction step. Only HR at the...
In this paper we present a system-on-chip for wireless body sensor networks, which integrates a transceiver, hardware MAC protocol, microprocessor, IO peripherals, memories, ADC and custom sensor interfaces. Addressing the challenges in the design, this paper will continue to discuss the issues in the applications of this technology to body worn monitoring for real-time measurement of ECG, heart rate,...
We present a novel approach to analyse and model psycho-physiological body activation patterns that emerge from physical and mental activity during daily routines. We analyse our approach on a 62 h dataset of daily routine recordings using acceleration and heart rate sensors. We present a descriptive analysis of psycho-physiological activations during the routines using a novel visualisation technique...
Characteristics of physical activity are indicative of one's mobility level, latent chronic diseases and aging process. Current research has been oriented to provide quantitative assessment of physical activity with ambulatory monitoring approaches. This study presented the design of algorithm integrated with a portable microprocessor-based accelerometry measuring device to implement real-time physical...
This work is a part of the project "context- aware cardiac long-term monitoring (CALM)" of the Institute for information processing technology of the University of Karlsruhe. The aim of our research is the development of a system to help on the prevention of cardiovascular illnesses by continuous telemonitoring of patients. Therefore, the system should enable patient-friendly measurements...
Main objective of this study was to propose an advanced method to evaluate one's physical activity by means of a portable device which is capable of long-term non-restrictive measurement. The device includes accelerometers and a barometer specially designed to catch features of vertical movements such as stair climbing. The embedded algorithm classified activity type and quantifies its exercise intensity...
The measurement of the amount of energy utilized during physical activity has generated considerable interests from various groups ranging from exercise physiologists to nutritionists and fitness center workers. To date, however, the existing energy expenditure estimation methods are not so reliable and compact. In this paper, we propose a new method for accurately and easily estimating energy expenditure...
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