Radarbasierte Atemerfassung auf einer Palliativstation

Zusammenfassung

Ziel der Studie

In der Palliativversorgung werden technische Hilfsmittel wie EKG oder Pulsoxymetrie nur sparsam eingesetzt, um Zuwendung und Beziehungsarbeit nicht zu stören. Gleichzeitig ist Symptomerkennung essenziell und viele Patient*innen können diese nicht selbst äußern. Diese Studie untersucht erstmals den Einsatz eines Radarsystems zum berührungslosen Atemfrequenzmonitoring bei Palliativpatient*innen.

Methode

In einer prospektiven Studie wurde radarbasiertes Atemfrequenzmonitoring mit einer Goldstandardmethode bei stationär behandelten Palliativpatient*innen verglichen.

Ergebnisse

Die Auswertung bei 13 Patient*innen zeigte eine Übereinstimmung der Atemfrequenzerfassungen durch Radar und Gold-Standardverfahren (n=13, Korrelation r=0,93; 88% der Atemfrequenzen innerhalb ±2 Atemzügen im Vergleich zu Goldstandard). Verlaufsanalysen ergaben Hinweise auf ein Potenzial zur Symptomerkennung.

Schlussfolgerung

Radarbasiertes Atemfrequenzmonitoring unter klinischen Bedingungen ist zuverlässig und hat das Potenzial, Symptome zu erkennen.

Abstract

Objective

In palliative care, technical aids such as ECG are employed sparingly to avoid interference with the provision of care. At the same time, it is vital to recognise symptoms, whereas many patients are unable to express themselves. This study is the first investigation into a radar-based, non-contact monitoring of respiratory rate in palliative care patients.

Methods

In a prospective study, radar-based monitoring of respiratory rate was evaluated in comparison with a gold standard method in a cohort of hospitalised palliative care patients.

Results

The results demonstrated a high level of agreement between radar-based and gold standard respiratory rate monitoring (n=13, correlation r=0.93, 88% of respiratory rates within ±2 breaths). Further analyses indicated a potential for symptom recognition.

Conclusion

The findings suggest that radar-based respiratory rate monitoring is reliable under clinical conditions and has the potential to detect symptoms.

Schlüsselwörter

Digitalisierung - Radarsensor - Atemfrequenz

Keywords

digitalization - radar sensor - breathing frequency

• Literatur

• 1 Radbruch L, Downing J. Principles of palliative care. In: Kopf A, Patel NB. , Hrsg. Guide to pain management in low-resource settings. Seattle: International Association for the Study of Pain; 2010: 47-57
• 2 Bramati P, Bruera E. Delirium in palliative care. Cancers 2021; 13: 5893
• 3 Merlane H, Cauwood L. Core principles of end-of-life care. British Journal of Nursing 2020; 29: 280-282
• 4 White C, McMullan D, Doyle J. “Now that you mention it, doctor…”: symptom reporting and the need for systematic questioning in a specialist palliative care unit. Journal of palliative medicine 2009; 12: 447-450
• 5 Naziyok TP, Zeleke AA, Röhrig R. Contactless patient monitoring for general wards: a systematic technology review. In: Hoerbst A. et al. , Hrsg. Exploring Complexity in Health: An Interdisciplinary Systems Approach. IOS Press; 2016: 707-711
• 6 Selvaraju V, Spicher N, Wang J. et al. Continuous monitoring of vital signs using cameras: A systematic review. Sensors 2022; 22: 4097
• 7 Sun G, Negishi T, Kirimoto T. et al. Noncontact monitoring of vital signs with RGB and infrared camera and its application to screening of potential infection. In: In: Non-invasive diagnostic methods-image processing. IntechOpen; 2018.
• 8 Cay G, Ravichandran V, Saikia MJ. et al. An e-textile respiration sensing system for NICU monitoring: design and validation. Journal of Signal Processing Systems 2022; 94: 543-557
• 9 Ferguson C, Hickman LD, Turkmani S. et al. “Wearables only work on patients that wear them”: Barriers and facilitators to the adoption of wearable cardiac monitoring technologies. Cardiovascular Digital Health Journal 2021; 2: 137-147
• 10 Baig MM, Gholam Hosseini H, Moqeem AA. et al. A systematic review of wearable patient monitoring systems – current challenges and opportunities for clinical adoption. Journal of medical systems 2017; 41: 1-9
• 11 Liebetruth M, Kehe K, Steinritz D. et al. Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology. Sensors 2024; 24: 1003
• 12 Grießhammer SG, Malessa A, Lu H. et al. Contactless radar-based heart rate estimation in palliative care – a feasibility study and possible use in symptom management. BMC Palliative Care 2024; 23: 273
• 13 Michler F, Shi K, Schellenberger S. et al. A radar-based vital sign sensing system for in-bed monitoring in clinical applications. 2020 German Microwave Conference (GeMiC): IEEE; 2020
• 14 Schellenberger S, Shi K, Steigleder T. et al. A dataset of clinically recorded radar vital signs with synchronised reference sensor signals. Scientific data 2020; 7: 291
• 15 Shi K, Schellenberger S, Michler F. et al. Automatic signal quality index determination of radar-recorded heart sound signals using ensemble classification. IEEE transactions on biomedical engineering 2020; 67: 773-785
• 16 Schellenberger S, Shi K, Michler F. et al. Continuous in-bed monitoring of vital signs using a multi radar setup for freely moving patients. Sensors 2020; 20: 5827
• 17 Müller R, Büttner P. A critical discussion of intraclass correlation coefficients. Statistics in medicine 1994; 13: 2465-2476
• 18 Schuirmann DJ. A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. Journal of pharmacokinetics and biopharmaceutics 1987; 15: 657-680