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Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data

Research article (2021 IEEE International Systems Conference (SysCon), 2021) · cited 19× · AI/ML
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Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data

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Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data is a scholarly article[1].

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  • Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-recurrence-quantification-analysis-to-quantify-the-physiological-synchrony-in-dyadic-ecg-data
MLA “Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-recurrence-quantification-analysis-to-quantify-the-physiological-synchrony-in-dyadic-ecg-data.
BibTeX @misc{4ortxyz_using-recurrence-quantification-analysis-to-quantify-the-physiological-synchrony-in-dyadic-ecg-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data}}, year = {2026}, url = {https://4ort.xyz/entity/using-recurrence-quantification-analysis-to-quantify-the-physiological-synchrony-in-dyadic-ecg-data}, note = {Accessed: 2026-05-24}}
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