32
V. Blazek
68. M. Koeny, S. Bertling, M. Czaplik, V. Blazek, S. Leonhardt, Respiratory rate estimation in
postoperative care—state of the art and perspectives. Clin. Technol./Lékaˇ r a Technika 44(2),
25–29 (2014)
69. K. Navratil, J. Halek, P. Havranek, S. Binder, Pulse wave analysis in objective evaluation of
pain—a preliminary communication. Cesk Slov. Neurol. N 71(104), 303–308 (2008)
70. D. Korpas, J. Halek, L. Dolezal, Parameters describing the pulse wave. Physiol. Res. 58,
473–479 (2009)
71. V. Blazek, New insights in the phenomenon of distributed dermal perfusion rhythmicity using
computer aided optoelectronic sensor measuring strategies. Acta Mech Slovaca 14(2), 42–50
(2010)
72. O. Such, S. Acker, V. Blazek, Mapped hemodynamic data acquisition by near infrared CCD
imaging. in IEEE/EMBC Proceeding, 637–639 (1997). 0-7803-4252–3/97
73. M. Hülsbusch, A functional imaging technique for optoelectronic assessment of skin perfusion.
Ph.D. Thesis, RWTH Aachen University (2008)
74. N. Blanik, A.B. Abbas, B. Venema, V. Blazek, S. Leonhardt, Hybrid optical imaging technology
for long-term remote monitoring of skin perfusion and temperature behavior. J. Biomed. Optics
19(1), 16 (2014). https://doi.org/10.1117/1.JBO.19.1.016012
75. N. Blanik, C. Pereira, M. Czaplik, V. Blazek, S. Leonhardt, Remote photoplethysmographic
imaging of dermal perfusion in a porcine animal model. IFMBE Proc. 43, 92–95 (2014)
76. N. Blanik, B. Venema, V. Blazek, S. Leonhardt, Remote pulse oximetry imaging—fundamentals and applications. Clinician Technol/Lékaˇ r a Technika 44(3), 5–11 (2014)
77. C.S. Pilz, J. Krajewski, V. Blazek, On the diffusion process for heart rate estimation from face
videos under realistic conditions, in Pattern Recognition, ed. by V. Roth, T. Vetter (GCPR 2017,
Springer International Publishing AG, 2017), pp. 361–373. https://doi.org/10.1007/978-3-31966709-6_29
78. C.S. Pilz, S. Zaunseder, J. Krajewski, V. Blazek, Local group invariance for heart rate estimation
from face videos in the Wild, in Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition (2018), pp. 1367–1375. https://doi.org/10.1109/CVPRW.2018.00172
79. C.S. Pilz, I.B. Makhlouf, V. Blazek, S. Leonhardt, On the vector space in photoplethysmography
imaging, in Proceedings of CVPR 2019 (Computer Vision for Physiological Measurement)
(2019). CoRR abs/1906.04431
80. S. Borik, S. Lyra, M. Paul, Ch. Hoog Antink, S. Leonhardt, V. Blazek, Photoplethysmography imaging: camera performance evaluation by means of an optoelectronic skin perfusion
phantom. Physiol. Meas. 41(5) (2020)
81. X. Yu, T. Laurentius, C. Bollheimer, S. Leonhardt, Ch. Hoog Antink, Noncontact monitoring of
heart rate and heart rate variability in geriatric patients using photoplethysmography imaging.
IEEE J. Biomed. Health Inform 1–1
V. Blazek
68. M. Koeny, S. Bertling, M. Czaplik, V. Blazek, S. Leonhardt, Respiratory rate estimation in
postoperative care—state of the art and perspectives. Clin. Technol./Lékaˇ r a Technika 44(2),
25–29 (2014)
69. K. Navratil, J. Halek, P. Havranek, S. Binder, Pulse wave analysis in objective evaluation of
pain—a preliminary communication. Cesk Slov. Neurol. N 71(104), 303–308 (2008)
70. D. Korpas, J. Halek, L. Dolezal, Parameters describing the pulse wave. Physiol. Res. 58,
473–479 (2009)
71. V. Blazek, New insights in the phenomenon of distributed dermal perfusion rhythmicity using
computer aided optoelectronic sensor measuring strategies. Acta Mech Slovaca 14(2), 42–50
(2010)
72. O. Such, S. Acker, V. Blazek, Mapped hemodynamic data acquisition by near infrared CCD
imaging. in IEEE/EMBC Proceeding, 637–639 (1997). 0-7803-4252–3/97
73. M. Hülsbusch, A functional imaging technique for optoelectronic assessment of skin perfusion.
Ph.D. Thesis, RWTH Aachen University (2008)
74. N. Blanik, A.B. Abbas, B. Venema, V. Blazek, S. Leonhardt, Hybrid optical imaging technology
for long-term remote monitoring of skin perfusion and temperature behavior. J. Biomed. Optics
19(1), 16 (2014). https://doi.org/10.1117/1.JBO.19.1.016012
75. N. Blanik, C. Pereira, M. Czaplik, V. Blazek, S. Leonhardt, Remote photoplethysmographic
imaging of dermal perfusion in a porcine animal model. IFMBE Proc. 43, 92–95 (2014)
76. N. Blanik, B. Venema, V. Blazek, S. Leonhardt, Remote pulse oximetry imaging—fundamentals and applications. Clinician Technol/Lékaˇ r a Technika 44(3), 5–11 (2014)
77. C.S. Pilz, J. Krajewski, V. Blazek, On the diffusion process for heart rate estimation from face
videos under realistic conditions, in Pattern Recognition, ed. by V. Roth, T. Vetter (GCPR 2017,
Springer International Publishing AG, 2017), pp. 361–373. https://doi.org/10.1007/978-3-31966709-6_29
78. C.S. Pilz, S. Zaunseder, J. Krajewski, V. Blazek, Local group invariance for heart rate estimation
from face videos in the Wild, in Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition (2018), pp. 1367–1375. https://doi.org/10.1109/CVPRW.2018.00172
79. C.S. Pilz, I.B. Makhlouf, V. Blazek, S. Leonhardt, On the vector space in photoplethysmography
imaging, in Proceedings of CVPR 2019 (Computer Vision for Physiological Measurement)
(2019). CoRR abs/1906.04431
80. S. Borik, S. Lyra, M. Paul, Ch. Hoog Antink, S. Leonhardt, V. Blazek, Photoplethysmography imaging: camera performance evaluation by means of an optoelectronic skin perfusion
phantom. Physiol. Meas. 41(5) (2020)
81. X. Yu, T. Laurentius, C. Bollheimer, S. Leonhardt, Ch. Hoog Antink, Noncontact monitoring of
heart rate and heart rate variability in geriatric patients using photoplethysmography imaging.
IEEE J. Biomed. Health Inform 1–1