Extremely Lightweight Skin Segmentation Networks to Improve Remote Photoplethysmography Measurement
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27199-1_45
Reference19 articles.
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3. Sarkar, P., Etemad, A.: CardioGAN: attentive generative adversarial network with dual discriminator for synthesis of ECG from PPG. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 488–496. AAAI Press, California (2021)
4. Wieringa, F.P., Mastik, F., Antonius, F.W.: Contactless multiple wavelength photoplethysmographic imaging: a first step toward ‘SpO2 Camera’ technology. Ann. Biomed. Eng. 33(8), 1034–1041 (2005)
5. Humphreys, K., Ward, T., Markham, C.: Noncontact simultaneous dual wavelength photoplethysmography: a further step toward noncontact pulse oximetry. Rev. Sci. Instrum. 78(4), 044304 (2007)
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1. Improving Remote Photoplethysmography Performance through Deep-Learning-Based Real-Time Skin Segmentation Network;Electronics;2023-09-04
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