Abstract
The physiological signal acquisition and analyzing are important for intelligent health services, human–computer interaction and other applications. Due to the computing power limitation of terminal devices, many analyzing methods of physiological signals are in offline mode. However, in many applications, physiological signal should be analyzed in real time. To overcome this problem, a real-time physiological signal acquisition and analysis method based on fractional calculus and stream computing is proposed. Mobile terminals read the physiological data from sensors and upload them to the stream computing platform. A fractal index is used to estimate the physiological status. Based on the stream computing platform, this index is calculated by distributed parallel computing. The experiment results show this method can distinguish the heart health status and reflect driver mental status to some extent.
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Acknowledgements
This study was supported by QingLan outstanding young teacher project of Jiangsu Province (Grant Number 201705), 333 talent project of Jiangsu Province (Grant Number 2018III1886), the shipping big data collaborative innovation center of Jiangsu Maritime Institute and the innovation technology funding of Jiangsu Maritime Institute.
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Lv, T., Tong, L., Zhang, J. et al. A real-time physiological signal acquisition and analyzing method based on fractional calculus and stream computing. Soft Comput 25, 13933–13939 (2021). https://doi.org/10.1007/s00500-020-04703-3
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DOI: https://doi.org/10.1007/s00500-020-04703-3