Signal (stream) synchronization with white noise sources, in biomedical applications

Vaz, Pedro, Gomes de Almeida, Vania ORCID logoORCID:, Ferreira, Luis, Correia, Carlos and Cardoso, Joao (2015) Signal (stream) synchronization with white noise sources, in biomedical applications. Biomedical Signal Processing and Control, 18 . pp. 394-400. ISSN 1746-8094 [Article] (doi:10.1016/j.bspc.2015.02.015)


When multiple acquisition systems are used to simultaneously acquire signals, synchronization issues may arise potentially causing errors in the determination of acquisition starting points and continuous clock offsets and shifts on each device. This paper introduces a processing method to efficiently synchronize these signals in the presence of white noise sources without the requirement of clock sharing or any other digital line exchange. The use of a signal source, such as white noise with a very wide frequency band, is of great interest for synchronization purposes, due to its aperiodic nature. This high bandwidth signal is simultaneously acquired by all the acquisition channels, on distinct systems, and, synchronized afterwards using cross-correlation methods. Two different correlation methods were tested; a global method, used when clock system frequencies are exactly known, and a local method, used when independent clocks evidence shifts over time that cumulatively account for long term acquisition errors in the synchronization process. In a computational simulation with known clock frequencies the results show a synchronization error of ≈1/10 of the time resolution, for both methods. For unknown clock frequencies, the global method achieved an error of 24/10 the time resolution, indicating a much poorer performance. In the experimental set-up, only the local method was tested. The best result shows a synchronization error of 4/10 of the time resolution. All the signal conditioning and acquisition parameters were chosen taking into account potential biomedical applications.

Item Type: Article
Research Areas: A. > School of Science and Technology > Natural Sciences
Item ID: 23720
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Depositing User: Vania Gomes De almeida
Date Deposited: 05 Mar 2018 16:04
Last Modified: 09 Feb 2022 10:29

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