Abstract
In this paper, we study the representation of photoplethysmography (PPG) signal based on a finite Gaussian basis. An iterative optimization scheme is developed for the solution of the optimal representation. When we employ a summation of n (n < 8) Gaussian basis to approximate the original PPG signal, we can use a feature vector only including 3n parameters of Gaussian basis to represent the original PPG signal, with almost no losses in geometrical shape. In contrast with a thousand samples in time domain, the proposed method can save a lot of resources in processing, transmitting and storing PPG signal in Body Area Networks (BANs).
Project supported by National Science and Technology Support Program of China (No.2012BAH82F04).
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Li, D., Zhao, H., Li, S., Zheng, H. (2014). A New Representation of Photoplethysmography Signal. In: Cai, Z., Wang, C., Cheng, S., Wang, H., Gao, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2014. Lecture Notes in Computer Science, vol 8491. Springer, Cham. https://doi.org/10.1007/978-3-319-07782-6_26
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DOI: https://doi.org/10.1007/978-3-319-07782-6_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07781-9
Online ISBN: 978-3-319-07782-6
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