Veröffentlichungen

UNSERE BASIS IST WISSENSCHAFT

Die Technologie von Guardio basiert auf einer Vielzahl von Studien, welche über jahrelange Forschungsarbeit entstanden sind.   

Haescher, M., Höpfner, F., Chodan, W., Kraft, D., Aehnelt, M., & Urban, B. (2020, May). Transforming seismocardiograms into electrocardiograms by applying convolutional autoencoders. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4122-4126). IEEE

DOI: https://doi.org/10.1109/ICASSP40776.2020.9053130

Haescher, M., Matthies, D. J., Trimpop, J., & Urban, B. (2016, May). SeismoTracker: Upgrade any smart wearable to enable a sensing of heart rate, respiration rate, and microvibrations. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2209-2216).

DOI: https://doi.org/10.1145/2851581.2892279

Haescher, M., Trimpop, J., Bieber, G., & Urban, B. (2016, June). SmartMove: a smartwatch algorithm to distinguish between high-and low-amplitude motions as well as doffed-states by utilizing noise and sleep. In Proceedings of the 3rd International Workshop on Sensor-based Activity Recognition and Interaction(pp. 1-8).

DOI: https://doi.org/10.1145/2948963.2948964

Haescher, M., Matthies, D. J., Trimpop, J., & Urban, B. (2015, June). A study on measuring heart-and respiration-rate via wrist-worn accelerometer-based seismocardiography (SCG) in comparison to commonly applied technologies. In Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction (pp. 1-6).

DOI: https://doi.org/10.1145/2790044.2790054

Haescher, M., Bieber, G., Trimpop, J., Urban, B., Kirste, T., & Salomon, R. (2014, October). Recognition of low amplitude body vibrations via inertial sensors for wearable computing. In International Internet of Things Summit (pp. 236-241). Springer, Cham.

DOI: https://doi.org/10.1007/978-3-319-19656-5_34

Bieber, G., Haescher, M., & Vahl, M. (2013, May). Sensor requirements for activity recognition on smart watches. In Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 1-6).

DOI: https://doi.org/10.1145/2504335.2504407