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Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering

Research article (Computers & Electrical Engineering, 2021) · cited 35× · AI/ML
academia openalex:W3150745525
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Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering

Summary

Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering is a scholarly article[1].

Key Facts

  • Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-recurrent-neural-network-based-autoencoder-for-photoplethysmogram-artifacts-filtering
MLA “Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-recurrent-neural-network-based-autoencoder-for-photoplethysmogram-artifacts-filtering.
BibTeX @misc{4ortxyz_deep-recurrent-neural-network-based-autoencoder-for-photoplethysmogram-artifacts-filtering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering}}, year = {2026}, url = {https://4ort.xyz/entity/deep-recurrent-neural-network-based-autoencoder-for-photoplethysmogram-artifacts-filtering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering — https://4ort.xyz/entity/deep-recurrent-neural-network-based-autoencoder-for-photoplethysmogram-artifacts-filtering (retrieved 2026-05-24)

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