@article{ubo_mods_00084836,
  author = {Bakhtiyari, Kaveh and Beckmann, Nils and Ziegler, Jürgen},
  title = {Contactless heart rate variability measurement by IR and 3D depth sensors with respiratory sinus arrhythmia},
  journal = {Procedia Computer Science},
  year = {2017},
  volume = {109},
  pages = {498–505},
  abstract = {Heart rate variability (HRV) is known to be correlated with emotional arousal, cognitive depletion, and health status. Despite the accurate HRV detection by various body-attached sensors, a contactless method is desirable for the HCI purposes. In this research, we propose a non-invasive contactless HRV measurement by Microsoft Kinect 2 sensor with Respiratory Sinus Arrhythmia (RSA) correction. The Infrared and RGB cameras are used to measure the heart rate signal, and its 3D Depth sensor is employed to capture the human respiratory signal to correct the initially calculated HRV with RSA. The correlation analysis among the calculated HRVs by different methods and devices showed a significant improvement in reliable HRV measurements. This study enlightens the researchers and developers to choose a proper method for HRV calculations based on their required accuracy and application.},
  issn = {1877-0509},
  doi = {10.1016/j.procs.2017.05.319},
  note = {The 8th International Conference on Ambient Systems, Networks and Technologies, ANT-2017 and the 7th International Conference on Sustainable Energy Information Technology, SEIT 2017, 16-19 May 2017, Madeira, Portugal}
}


@inproceedings{ubo_mods_00093591,
  author = {Beckmann, Nils and Viga, Reinhard and Dogangün, Aysegül and Grabmaier, Anton},
  chapter = {},
  title = {Measuring local pulse transit time for affective computing applications},
  year = {2017},
  publisher = {Hochschule Ruhr West},
  address = {Mülheim an der Ruhr},
  pages = {106–107},
  isbn = {978-3-9814801-9-1},
  url = {https://www.hochschule-ruhr-west.de/fileadmin/user_upload/02_Forschung/Fachbereich_4/Institut_Mess-_und_Sensortechnik/IEEE_Workshop/IEEE_2017/Abstractbook_Online_Version_2017_06_12.pdf},
  booktitle = {Industrial and medical measurement and sensor technology, vehicle sensor technnology: IEEE Workshop 2017 : abstractbook}
}


@inproceedings{ubo_mods_00093590,
  author = {Beckmann, Nils and Viga, Reinhard and Dogangün, Aysegül and Grabmaier, Anton},
  chapter = {},
  title = {Measuring local pulse transit time for affective computing applications},
  year = {2017},
  publisher = {Hochschule Ruhr West},
  address = {Mülheim an der Ruhr},
  pages = {30–31},
  url = {http://yra-medtech.de/daten_medtech/dokumente2017/YRA_Booklet_2017_LO.pdf},
  booktitle = {2nd YRA MedTech Symposium, Young Researchers Academy: booklet : jointly held with the IEEE Workshop & SENSORICA 2017 Hochschule Ruhr West, June 8-9, Mülheim a. d. Ruhr, Germany, 2017}
}


@inproceedings{ubo_mods_00093653,
  author = {Beckmann, Nils and Viga, Reinhard and Dogangün, Aysegül and Grabmaier, Anton},
  chapter = {},
  title = {Reproducibility of photoplethysmography-based local pulse transit time measurement},
  year = {2017},
  publisher = {IEEE},
  address = {Piscataway, NJ},
  pages = {246–249},
  keywords = {correlation;correlation coefficient;feature extraction;pulse measurements;sensors;signal-to-noise ratio (SNR);time measurement},
  doi = {10.1109/EMBC.2017.8036808},
  booktitle = {2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}
}