We investigate and develop ubiquitous and body-worn sensor and actuator systems (wearables, implants, ingestibles) as well as machine learning algorithms for pattern search and mining in complex, multimodal biomedical datasets.
Research projects
Context recognition in multimodal data, e.g. to qualify physiological data in daily life.
Automated digital system design (mechanics, electronics, software) and system simulation with digital twins.
Creation and clinical validation of digital biomarkers and digital health twins from timeseries and image data.
Data minining, rule and morif search in timeseries data.
Creation of human behaviour twins, eghi-projekt.de
Context recognition in smart homes and wearable systems, http://www.acrossing-itn.eu
Data interfaces and automated testing of digital health applications (German DiGA), https://num-compass.science
Many projects on systems and solutions for specific indications and support for patients, therapists and physicians, see https://www.cdh.med.fau.de/category/research , e.g. http://www.icarenet.eu
Current Projects Current Projects
Recent publications Recent publications
2022
Rowald, A., & Amft, O. (2022). A computational roadmap to electronic drugs . Frontiers in Neurorobotics , 16 . https://dx.doi.org/10.3389/fnbot.2022.983072
Willis, E.A., Hales, D., Smith, F., Burney, R., Rzepka, M.C., Amft, O.,... Ward, D.S. (2022). Feasibility And Acceptability Of Wearable Sensor Placement For Young Children. In MEDICINE & SCIENCE IN SPORTS & EXERCISE (pp. 176-176). PHILADELPHIA: LIPPINCOTT WILLIAMS & WILKINS.
Willis, E.A., Hales, D., Smith, F.T., Burney, R., El-Zaatari, H.M., Rzepka, M.C.,... Ward, D.S. (2022). Feasibility and Acceptability of Wearable Sensor Placement for Measuring Screen Time of Children . Translational Journal of the American College of Sports Medicine , 7 (4). https://dx.doi.org/10.1249/TJX.0000000000000214
2021
Baronetto, A., Uhlenberg, L., Wassermann, D., & Amft, O. (2021). Simulation of Garment-Embedded Contact Sensor Performance under Motion Dynamics . In IWSC'21: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (pp. 73-77). NEW YORK: ASSOC COMPUTING MACHINERY.
Baronetto, A., Wassermann, D., & Amft, O. (2021). Deep 3D Body Landmarks Estimation for Smart Garments Design . In 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2021 . Virtual, Online, GRC, GR: Institute of Electrical and Electronics Engineers Inc..
Haas, O., Lopera Gonzalez, L.I., Hofmann, S., Ostgathe, C., Maier, A., Rothgang, E.,... Steigleder, T. (2021). Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining . Frontiers in Digital Health , 3 . https://dx.doi.org/10.3389/fdgth.2021.724049
Kopyto, D., Zhang, R., & Amft, O. (2021). Audio-Based Onset Detection applied to Chewing Cycle Segmentation . In IWSC'21: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (pp. 124-128). NEW YORK: ASSOC COMPUTING MACHINERY.
Schiboni, G., Vicario, C.M., Suarez, J.C., Cruciani, F., & Amft, O. (2021). Context-Adaptive Sub-Nyquist Sampling for Low-Power Wearable Sensing Systems . IEEE Transactions on Mobile Computing . https://dx.doi.org/10.1109/TMC.2021.3077731
2020
Amft, O., Favela, J., Intille, S., Musolesi, M., & Kostakos, V. (2020). Personalized Pervasive Health . IEEE Pervasive Computing , 19 (3), 11-13. https://dx.doi.org/10.1109/MPRV.2020.3003142
Amft, O., Lopera Gonzalez, L.I., Lukowicz, P., Bian, S., & Burggraf, P. (2020). Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing . IEEE Pervasive Computing , 19 (4), 53-60. https://dx.doi.org/10.1109/MPRV.2020.3021321
Baronetto, A., Graf, L., Fischer, S., Neurath, M., & Amft, O. (2020). GastroDigitalShirt: A smart shirt for digestion acoustics monitoring . In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 17-21). Association for Computing Machinery.
Derungs, A., & Amft, O. (2020). Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis . Scientific Reports , 10 (1). https://dx.doi.org/10.1038/s41598-020-68225-6
Derungs, A., Schuster-Amft, C., & Amft, O. (2020). Wearable motion sensors and digital biomarkers in stroke rehabilitation . Current Directions in Biomedical Engineering , 6 (3). https://dx.doi.org/10.1515/cdbme-2020-3058
Knitza, J., Simon, D., Lambrecht, A., Raab, C., Tascilar, K., Hagen, M.,... Hueber, A. (2020). Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study . JMIR mHealth and uHealth , 8 (8), e19661-. https://dx.doi.org/10.2196/19661
Psychoula, I., Chen, L., & Amft, O. (2020). Privacy Risk Awareness in Wearables and the Internet of Things . IEEE Pervasive Computing , 19 (3), 60-66. https://dx.doi.org/10.1109/MPRV.2020.2997616
Schiboni, G., Suarez Mora, J.C., Zhang, R., & Amft, O. (2020). Dyndse: Automated multi-objective design space exploration for context-adaptivewearable IOT edge devices . Sensors , 20 (21), 1-26. https://dx.doi.org/10.3390/s20216104
Wittenberg, T., Koch, R., Pfeiffer, N., Lang, N., Struck, M., Amft, O., & Eskofier, B. (2020). Evaluation of HRV estimation algorithms from PPG data using neural networks . Current Directions in Biomedical Engineering , 6 (3). https://dx.doi.org/10.1515/cdbme-2020-3130
Zhang, R., & Amft, O. (2020). Retrieval and timing performance of chewing-based eating event detection in wearable sensors . Sensors , 20 (2). https://dx.doi.org/10.3390/s20020557
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We investigate and develop ubiquitous and body-worn sensor and actuator systems (wearables, implants, ingestibles) as well as machine learning algorithms for pattern search and mining in complex, multimodal biomedical datasets.
Research projects
Current Projects
No projects found.
Recent publications
2022
2021
2020
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