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Motion Artifact Detection in PPG Signals Based on Gramian Angular Field and 2-D-CNN
Research article (2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020) · cited 16× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Motion Artifact Detection in PPG Signals Based on Gramian Angular Field and 2-D-CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/motion-artifact-detection-in-ppg-signals-based-on-gramian-angular-field-and-2-d-cnn
MLA“Motion Artifact Detection in PPG Signals Based on Gramian Angular Field and 2-D-CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/motion-artifact-detection-in-ppg-signals-based-on-gramian-angular-field-and-2-d-cnn.
BibTeX@misc{4ortxyz_motion-artifact-detection-in-ppg-signals-based-on-gramian-angular-field-and-2-d-cnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Motion Artifact Detection in PPG Signals Based on Gramian Angular Field and 2-D-CNN}}, year = {2026}, url = {https://4ort.xyz/entity/motion-artifact-detection-in-ppg-signals-based-on-gramian-angular-field-and-2-d-cnn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Motion Artifact Detection in PPG Signals Based on Gramian Angular Field and 2-D-CNN — https://4ort.xyz/entity/motion-artifact-detection-in-ppg-signals-based-on-gramian-angular-field-and-2-d-cnn (retrieved 2026-05-24)