Photoplethysmography revisited: from contact to noncontact, from point to imaging
By Yu Sun, Nitish V. Thakor. IEEE Transactions on Biomedical Engineering, 2015
522 citations recorded by the source corpus.
Photoplethysmography (PPG) is a noninvasive optical technique for detecting microvascular blood volume changes in tissues. Its ease of use, low cost and convenience make it an attractive area of research in the biomedical and clinical communities. Nevertheless, its single spot monitoring and the need to apply a PPG sensor directly to the skin limit its practicality in situations such as perfusion mapping and healing assessments or when free movement is required. The introduction of fast digital cameras into clinical imaging monitoring and diagnosis systems, the desire to reduce the physical restrictions, and the possible new insights that might come from perfusion imaging and mapping inspired the evolution of the conventional PPG technology to imaging PPG (IPPG). IPPG is a noncontact method that can detect heart-generated pulse waves by means of peripheral blood perfusion measurements. Since its inception, IPPG has attracted significant public interest and provided opportunities to improve personal healthcare. This study presents an overview of the wide range of IPPG systems currently being introduced along with examples of their application in various physiological assessments. We believe that the widespread acceptance of IPPG is happening, and it will dramatically accelerate the promotion of this healthcare model in the near future.
Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery
View Paper: https://www.semanticscholar.org/paper/a7c2cf9bcda344787ac6acbca38f3077dc0d0e71
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Sander Stuijk
- Wenjin Wang
- Radim Spetlik
- Jiri Matas
- Vojtech Franc
- Jan Cech
- G. de Haan
- Daniel J. McDuff
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Visual Heart Rate Estimation with Convolutional Neural Network (2018, background): “Paper by Sun and Thakor [16], from 2015, provides a survey of a large body of literature”
- Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review (2017, unknown): “It has recently been proposed that BR algorithms could be applied to imagingPPG signals acquired using non-contact video cameras [23]– [25], [27], [152].”
- A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation (2016, background): “A thorough review on the history of rPPG can be found in [7] and [8].”