METHOD FOR BRINGING ASYNCHRONOUS CARDIOTOCOGRAPHIC DATA STREAMS INTO A UNIFIED FORM

In cardiotocographic monitoring, FHR and UC signals may arrive asynchronously from different sources, while packets in the network may be delayed, lost, or duplicated. The paper proposes a method for bringing such streams into a device- independent common time grid. Samples are placed according to the sequence number, each node is assigned a status code, and frames are emitted with bounded latency. The complexity of the algorithm per sample is O(1). The method was evaluated on 20 real CTG recordings selected from the CTU -UHB database under two simulated network scenarios. In the proposed method, all placed valid values fell into their correct time nodes. When samples were concatenated in order of arrival, the average FHR-UC shift reached 7.48 s in the unstable network. At D = 5 s, data completeness was 99.28%.

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Publication Details

Published
2026-10-05
DOI
https://doi.org/10.70286/eoss-05.10.2026.004.170-178
Primary Topic
ECG Monitoring and Analysis
Type
article
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article

METHOD FOR BRINGING ASYNCHRONOUS CARDIOTOCOGRAPHIC DATA STREAMS INTO A UNIFIED FORM

Batirbek Samandarov, Navruzbek Safoboev
ECG Monitoring and Analysis
article

METHOD FOR BRINGING ASYNCHRONOUS CARDIOTOCOGRAPHIC DATA STREAMS INTO A UNIFIED FORM

Batirbek Samandarov, Navruzbek Safoboev
article en

Abstract

In cardiotocographic monitoring, FHR and UC signals may arrive asynchronously from different sources, while packets in the network may be delayed, lost, or duplicated. The paper proposes a method for bringing such streams into a device- independent common time grid. Samples are placed according to the sequence number, each node is assigned a status code, and frames are emitted with bounded latency. The complexity of the algorithm per sample is O(1). The method was evaluated on 20 real CTG recordings selected from the CTU -UHB database under two simulated network scenarios. In the proposed method, all placed valid values fell into their correct time nodes. When samples were concatenated in order of arrival, the average FHR-UC shift reached 7.48 s in the unstable network. At D = 5 s, data completeness was 99.28%.

Urgench State University (UZ), Tashkent University of Information Technology (UZ)
Openalex Percentile: Top 11%
ECG Monitoring and Analysis
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METHOD FOR BRINGING ASYNCHRONOUS CARDIOTOCOGRAPHIC DATA STREAMS INTO A UNIFIED FORM — Batirbek Samandarov, Navruzbek Safoboev · (2026) | TGRS Research Map | TGRS