TY - GEN A1 - Will, Christoph A1 - Shi, Kilin A1 - Schellenberger, Sven A1 - Steigleder, Tobias A1 - Michler, Fabian A1 - Weigel, Robert A1 - Ostgathe, Christoph A1 - Kölpin, Alexander T1 - Local Pulse Wave Detection using Continuous Wave Radar Systems T2 - IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Y1 - 2017 U6 - https://doi.org/10.1109/JERM.2017.2766567 SN - 2469-7249 VL - 1 IS - 2 SP - 81 EP - 89 ER - TY - GEN A1 - Will, Christoph A1 - Shi, Kilin A1 - Schellenberger, Sven A1 - Steigleder, Tobias A1 - Michler, Fabian A1 - Fuchs, Jonas A1 - Weigel, Robert A1 - Ostgathe, Christoph A1 - Kölpin, Alexander T1 - Radar-Based Heart Sound Detection T2 - Scientific Reports Y1 - 2018 U6 - https://doi.org/10.1038/s41598-018-29984-5 SN - 2045-2322 VL - 8 ER - TY - GEN A1 - Steigleder, Tobias A1 - Malessa, Anke A1 - Shi, Kilin A1 - Michler, Fabian A1 - Schellenberger, Sven A1 - Heckel, Maria A1 - Kölpin, Alexander A1 - Ostgathe, Christoph T1 - Kontinuierliche berührungslose Erfassung von Herzschlag und Atmung als Surrogatparameter für Symptomlinderung–eine Pilotstudie T2 - Zeitschrift für Palliativmedizin Y1 - 2018 U6 - https://doi.org/10.1055/s-0038-1669350 SN - 1615-293X SN - 1615-2921 VL - 19 IS - 05 ER - TY - CHAP A1 - Schellenberger, Sven A1 - Shi, Kilin A1 - Mai, Melanie A1 - Wiedemann, Jan Philipp A1 - Steigleder, Tobias A1 - Eskofier, Björn A1 - Weigel, Robert A1 - Kölpin, Alexander T1 - Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks T2 - Computing in Cardiology Conference, MECC Maastricht (Netherlands), 2018 Y1 - 2018 U6 - https://doi.org/10.22489/CinC.2018.104 ER - TY - CHAP A1 - Schellenberger, Sven A1 - Shi, Kilin A1 - Steigleder, Tobias A1 - Michler, Fabian A1 - Lurz, Fabian A1 - Weigel, Robert A1 - Kölpin, Alexander T1 - Support Vector Machine-Based Instantaneous Presence Detection for Continuous Wave Radar Systems T2 - Proceedings of 2018 Asia-Pacific Microwave Conference Y1 - 2018 U6 - https://doi.org/10.23919/APMC.2018.8617181 SP - 1465 EP - 1467 ER - TY - CHAP A1 - Shi, Kilin A1 - Schellenberger, Sven A1 - Steigleder, Tobias A1 - Michler, Fabian A1 - Lurz, Fabian A1 - Weigel, Robert A1 - Kölpin, Alexander T1 - Contactless Carotid Pulse Measurement Using Continuous Wave Radar T2 - Asia-Pacific Microwave Conference, Kyoto (Japan), 2018 Y1 - 2018 U6 - https://doi.org/10.23919/APMC.2018.8617522 SP - 569 EP - 571 ER - TY - CHAP A1 - Shi, Kilin A1 - Will, Christoph A1 - Steigleder, Tobias A1 - Michler, Fabian A1 - Weigel, Robert A1 - Ostgathe, Christoph A1 - Kölpin, Alexander T1 - A contactless system for continuous vital sign monitoring in palliative and intensive care T2 - The 12th Annual IEEE International Systems Conference : SysCon 2018, Vancouver, Canada : JW Marriott Parq Vancouver, April 24-26 : 2018 conference proceedings Y1 - 2018 SN - 978-1-5386-3664-0 U6 - https://doi.org/10.1109/SYSCON.2018.8369507 PB - IEEE CY - Piscataway, NJ, USA ER - TY - GEN A1 - Michler, Fabian A1 - Shi, Kilin A1 - Schellenberger, Sven A1 - Steigleder, Tobias A1 - Malessa, Anke A1 - Hameyer, Laura A1 - Neumann, Nina A1 - Lurz, Fabian A1 - Ostgathe, Christoph A1 - Weigel, Robert A1 - Kölpin, Alexander T1 - A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters T2 - Sensors Y1 - 2019 U6 - https://doi.org/10.3390/s19112492 SN - 1424-8220 VL - 19 IS - 11 ER - TY - GEN A1 - Shi, Kilin A1 - Schellenberger, Sven A1 - Michler, Fabian A1 - Steigleder, Tobias A1 - Malessa, Anke A1 - Lurz, Fabian A1 - Ostgathe, Christoph A1 - Weigel, Robert A1 - Kölpin, Alexander T1 - Automatic Signal Quality Index Determination of Radar-Recorded Heart Sound Signals Using Ensemble Classification T2 - IEEE Transactions on Biomedical Engineering Y1 - 2019 U6 - https://doi.org/10.1109/TBME.2019.2921071 SN - 1558-2531 SN - 0018-9294 VL - 67 IS - 3 SP - 773 EP - 785 ER - TY - GEN A1 - Shi, Kilin A1 - Schellenberger, Sven A1 - Will, Christoph A1 - Steigleder, Tobias A1 - Michler, Fabian A1 - Fuchs, Jonas A1 - Weigel, Robert A1 - Ostgathe, Christoph A1 - Kölpin, Alexander T1 - A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals T2 - Scientific Data Y1 - 2020 U6 - https://doi.org/10.15480/882.2830 SN - 2052-4463 VL - 7 IS - 1 SP - 1 EP - 12 ER - TY - GEN A1 - Schellenberger, Sven A1 - Shi, Kilin A1 - Steigleder, Tobias A1 - Malessa, Anke A1 - Michler, Fabian A1 - Hameyer, Laura A1 - Neumann, Nina A1 - Lurz, Fabian A1 - Weigel, Robert A1 - Ostgathe, Christoph A1 - Kölpin, Alexander T1 - A dataset of clinically recorded radar vital signs with synchronised reference sensor signals T2 - Scientific Data Y1 - 2020 U6 - https://doi.org/10.15480/882.2900 SN - 2052-4463 VL - 7 IS - 1 ER - TY - GEN A1 - Grießhammer, Stefan G. A1 - Malessa, Anke A1 - Lu, Hui A1 - Yip, Julia A1 - Leuschner, Julie A1 - Christgau, Florian A1 - Albrecht, Nils C. A1 - Oesten, Marie A1 - Tran, Thanh Truc A1 - Richer, Robert A1 - Heckel, Maria A1 - Eskofier, Bjoern M. A1 - Koelpin, Alexander A1 - Steigleder, Tobias A1 - Ostgathe, Christoph T1 - Contactless radar-based heart rate estimation in palliative care : a feasibility study and possible use in symptom management T2 - BMC palliative care N2 - Background Heart rate (HR) monitoring is a medical standard to provide information about a patient’s health status. In palliative care, relationship and social engagement are crucial therapeutic concepts. For fear of disrupting communication, social contact, and care, continuous HR monitoring is underutilised despite its potential to inform on symptom burden and therapeutic effects. This study investigates radar-based HR monitoring as an innovative and burden-free approach for palliative care patients, compares its accuracy with conventional ECG methods, and shows potential for therapeutic guidance. Methods A single-centre, comparative clinical trial was conducted with palliative care patients at the ward of the Department of Palliative Medicine of the University Hospital of Erlangen. The HR measurements obtained with radar were compared with Holter ECG (study arm I, overnight) and Task Force ® Monitor (TFM)-based ECG validation recordings (study arm II, one hour). In addition, long-term radar measurements without validation were analysed in comparison with clinical health records (study arm III). Results Both validation methods showed correlation by scatter plot, modified Bland-Altman plot, and equivalence testing. N  = 34 patients participated in study arm I. HR of 4,079 five-minute intervals was analysed. Radar measurements and ECG showed high agreement: difference of HRs was within 5 bpm in 3780 of 4079 (92.67%) and within ±13.4 bpm ( 1.96 times the SD of the mean) in 3979 (97.55%) intervals, respectively. In study arm II, n  = 19 patients participated. 57,048 heart beats were analysed. The HR difference was within 5 bpm for 53,583 out of 57,048 beats (93.93%) and within 8.2 bpm ( ± 1.96 times the SD of the mean) in 55,439 beats (97.18%), respectively. Arm III showed HR changes extracted from radar data in correlation with symptoms and treatment. Conclusion Radar-based HR monitoring shows a high agreement in comparison with ECG-based HR monitoring and thus offers an option for continuous and above all burden-free HR assessment, with the potential for use in symptom management in palliative care, among others. Further research and technological advancements are still necessary to fully realize this innovative approach in enhancing palliative care practices. KW - Palliative Care KW - Symptom management KW - Radar technology KW - Vital signs KW - Machine learning KW - Artificial intelligence Y1 - 2024 U6 - https://doi.org/10.1186/s12904-024-01592-3 SN - 1472-684X VL - 23 IS - 1 SP - 1 EP - 14 PB - BioMed Central CY - London ER -