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| Taal | Engels |
|---|---|
| Pagina's | 2032-2043 |
| Tijdschrift | IEEE Transactions on Biomedical Engineering |
| Volume | 66 |
| Nummer van het tijdschrift | 7 |
| Vroegere onlinedatum | 20 nov 2018 |
| DOI's | |
| Status | Gepubliceerd - 1 jul 2019 |
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Single element remote-PPG. / Wang, Wenjin (Corresponding author); den Brinker, A.C.; de Haan, Gerard.
In: IEEE Transactions on Biomedical Engineering, Vol. 66, Nr. 7, 01.07.2019, blz. 2032-2043.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
TY - JOUR
T1 - Single element remote-PPG
AU - Wang,Wenjin
AU - den Brinker,A.C.
AU - de Haan,Gerard
PY - 2019/7/1
Y1 - 2019/7/1
N2 - Camera-based remote photoplethysmography technology (remote-PPG) has shown great potential for contactless pulse-rate monitoring. However, remote-PPG systems typically analyze face images, which may restrict applications in view of privacy-preserving regulations such as the recently announced General Data Protection Regulation in the European Union. In this paper, we investigate the case of using single-element sensing as an input for remote-PPG extraction, which prohibits facial analysis and thus evades privacy issues. It also improves the efficiency of data storage and transmission. In contrast to known remote-PPG solutions using skin-selection techniques, the input signals in a single-element setup will contain a non-negligible degree of signal components associated with non-skin areas. Current remote-PPG extraction methods based on physiological and optical properties of skin reflections are therefore no longer valid. A new remote-PPG method, named Soft Signature based extraction (SoftSig), is proposed to deal with this situation by softening the dependence of pulse extraction on prior knowledge. A large scale experiment validates the concept of single-element remote-PPG monitoring and shows the improvement of SoftSig over general purpose solutions.
AB - Camera-based remote photoplethysmography technology (remote-PPG) has shown great potential for contactless pulse-rate monitoring. However, remote-PPG systems typically analyze face images, which may restrict applications in view of privacy-preserving regulations such as the recently announced General Data Protection Regulation in the European Union. In this paper, we investigate the case of using single-element sensing as an input for remote-PPG extraction, which prohibits facial analysis and thus evades privacy issues. It also improves the efficiency of data storage and transmission. In contrast to known remote-PPG solutions using skin-selection techniques, the input signals in a single-element setup will contain a non-negligible degree of signal components associated with non-skin areas. Current remote-PPG extraction methods based on physiological and optical properties of skin reflections are therefore no longer valid. A new remote-PPG method, named Soft Signature based extraction (SoftSig), is proposed to deal with this situation by softening the dependence of pulse extraction on prior knowledge. A large scale experiment validates the concept of single-element remote-PPG monitoring and shows the improvement of SoftSig over general purpose solutions.
KW - Vital signs monitoring
KW - photoplethysmography
KW - remote sensing
U2 - 10.1109/TBME.2018.2882396
DO - 10.1109/TBME.2018.2882396
M3 - Article
VL - 66
SP - 2032
EP - 2043
JO - IEEE Transactions on Biomedical Engineering
T2 - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
SN - 0018-9294
IS - 7
ER -