has been cited by the following article(s):
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[1]
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Personalized Continuous Blood Pressure Tracking Through Single Channel PPG in Wearable Scenarios
IEEE Journal of Biomedical and Health Informatics,
2025
DOI:10.1109/JBHI.2025.3535788
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[2]
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Deep learning approaches for continuous blood pressure estimation from photoplethysmography signal
Measurement: Sensors,
2025
DOI:10.1016/j.measen.2025.101866
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[3]
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Multi-Wavelength Photoplethysmography with Combined Entropy, Time, and Frequency Domain Analysis for Noninvasive Blood Glucose Monitoring
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
2025
DOI:10.1109/EMBC58623.2025.11253108
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[4]
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A computer image feature extraction algorithm based on distributed K-means algorithm
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023),
2024
DOI:10.1117/12.3026778
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[5]
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Auxiliary Assessment of Cardiovascular Health Using High-Dimensional Characteristics of Camera-Based iPPG Monitoring
IEEE Sensors Journal,
2023
DOI:10.1109/JSEN.2023.3309994
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[6]
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Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review
Sensors,
2022
DOI:10.3390/s22134855
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[7]
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A 208μW PPG-based Glucose Monitoring SoC using Ensembled Boosted Trees
2022 20th IEEE Interregional NEWCAS Conference (NEWCAS),
2022
DOI:10.1109/NEWCAS52662.2022.9842163
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