Othman, E.; Werner, P.; Saxen, F.; Fiedler, M.-A.; Al-Hamadi, A.
An Automatic System for Continuous Pain Intensity Monitoring Based on Analyzing Data from Uni-, Bi-, and Multi-Modality. Sensors 2022, 22, 4992.
https://doi.org/10.3390/s22134992
AMA Style
Othman E, Werner P, Saxen F, Fiedler M-A, Al-Hamadi A.
An Automatic System for Continuous Pain Intensity Monitoring Based on Analyzing Data from Uni-, Bi-, and Multi-Modality. Sensors. 2022; 22(13):4992.
https://doi.org/10.3390/s22134992
Chicago/Turabian Style
Othman, Ehsan, Philipp Werner, Frerk Saxen, Marc-André Fiedler, and Ayoub Al-Hamadi.
2022. "An Automatic System for Continuous Pain Intensity Monitoring Based on Analyzing Data from Uni-, Bi-, and Multi-Modality" Sensors 22, no. 13: 4992.
https://doi.org/10.3390/s22134992
APA Style
Othman, E., Werner, P., Saxen, F., Fiedler, M.-A., & Al-Hamadi, A.
(2022). An Automatic System for Continuous Pain Intensity Monitoring Based on Analyzing Data from Uni-, Bi-, and Multi-Modality. Sensors, 22(13), 4992.
https://doi.org/10.3390/s22134992