A novel minimal-contact biomotion method for long-term respiratory rate monitoring

Dietz-Terjung, Sarah; Geldmacher, Jan; Brato, Sebastian; Linker, Carolin-Maria; Welsner, Matthias; Schöbel, Christoph; Taube, Christian; Götze, J.; Weinreich, Gerhard

doi:10.1007/s11325-020-02067-4

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…The analysis unit is positioned next to the bed. In recent studies our research group evaluated the VitaLog sensor for various vital signs including HR with a very good correlation compared to ECG [15] and RR with a very good correlation compared to nasal flow [16].…”

Section: Biomotion Sensormentioning

confidence: 99%

Investigation of respiratory rate in patients with cystic fibrosis using a minimal-impact biomotion system

et al. 2022

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Background In this study we tested the hypothesis that in patients with cystic fibrosis (pwCF) respiratory rate (RR) is associated with antibiotic treatment, exacerbation status, forced expiratory volume in one second (FEV1) and C-reactive protein (CRP). Methods Between June 2018 and May 2019, we consecutively enrolled pwCF who were referred to our hospital. We determined RR and heart rate (HR) by using the minimal-impact system VitaLog during the hospital stay. Furthermore, we performed spirometry and evaluated CRP. Results We included 47 patients: 20 with pulmonary exacerbation and 27 without. RR decreased in patients with exacerbation (27.5/min (6.0/min) vs. 24.4/min (6.0/min), p = 0.004) and in patients with non-exacerbation (22.5/min (5.0/min) vs. 20.9/min (3.5/min), p = 0.024). Patients with exacerbation showed higher RR than patients with non-exacerbation both at the beginning (p = 0.004) and at the end of their hospital stay (p = 0.023). During the hospital stay, HR did not change in the total cohort (66.8/min (11.0/min) vs. 66.6/min (12.0/min), p = 0.440). Furthermore, we did not find significant differences between patients with exacerbation and patients with non-exacerbation (67.0/min (12.5/min) vs. 66.5/min (10.8/min), p = 0.658). We observed a correlation of ρ = -0.36 between RR and FEV1. Moreover, we found a correlation of ρ = 0.52 between RR and CRP. Conclusion In pwCF requiring intravenous therapy, respiratory rate is higher at their hospital admittance and decreased by the time of discharge; it is also associated with C-reactive protein. Monitoring RR could provide important information about the overall clinical conditions of pwCF.

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Section: Biomotion Sensormentioning

confidence: 99%

Investigation of respiratory rate in patients with cystic fibrosis using a minimal-impact biomotion system

et al. 2022

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“…Up to now, various attempts have been made to monitor RR at home, for example, via undergarment waistband-adhered physiologic monitors,(17) via monitors embedded in the domiciliary oxygen supply system,(9) by analyzing RR estimates from non-invasive ventilator software,(7,8) by minimal-contact sensors placed under the mattress,(18) or by using a non-contact biomotion sensor to measure thoracic excursions. (6,19,20) Home-based sleep sensors offer distinct advantages. Confounding factors like mental strain, heat, cold, or physical effort,(21) are expected to be minimized.…”

Section: Introductionmentioning

confidence: 99%

“…(16) This could be, for example, accomplished by the implementation of continuous RR monitoring in the home environment. (6)(7)(8)(9) Up to now, various attempts have been made to monitor RR at home, for example, via undergarment waistband-adhered physiologic monitors, (17) via monitors embedded in the domiciliary oxygen supply system,(9) by analyzing RR estimates from non-invasive ventilator software, (7,8) by minimal-contact sensors placed under the mattress, (18) or by using a noncontact biomotion sensor to measure thoracic excursions. (6,19,20) Home-based sleep sensors offer distinct advantages.…”

Section: Introductionmentioning

confidence: 99%

At-home validation of remote breathing monitoring: A proof-of-concept for long-term care of respiratory patients using a non-contact, radar-based biomotion sensor

Fischer,

Eggert,

Wildenauer

et al. 2024

Preprint

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Purpose Long-term monitoring of respiratory rate (RR) is promising for the management of chronic conditions. Research interest is particularly high in chronic respiratory diseases (CRDs), especially for predicting acute exacerbations of COPD (AECOPD). The aim of the present study was to evaluate the long-term validity of a recent non-contact biomotion sensor in the home environment of CRD patients with domiciliary ventilator support, focusing on patient acceptance and usability of this device, as well as RR fluctuations related to AECOPD. Patients and methods In this prospective proof-of-concept study, 19 patients requiring non-invasive ventilation (NIV) and seven patients requiring invasive mechanical ventilation (IMV) were provided with the non-contact device for six and one month, respectively. Main indication for NIV therapy was COPD. Real-world validation of the device was performed by comparing nocturnal RR values between the non-contact system and both types of ventilators. The acceptance and operability of the biomotion sensor were evaluated using a questionnaire. COPD exacerbations that occurred during the study period were assessed for possible RR fluctuations preceding these events. Results Mean absolute error (MAE) of median RR between the NIV device and the non-contact system, based on 2326 nights, was 0.78 (SD: 1.96) breaths per minute (brpm). MAE between the IMV device and the non-contact system was 0.12 brpm (SD: 0.52) for 215 nights. The non-contact device was accepted by the patients and proved to be easy to use. In some of the overall 13 cases of AECOPD, RR time courses showed variations of increased nocturnal respiratory activity a few days before the occurrence of such events. Conclusion The present non-contact system is suitable and well accepted for valid long-term monitoring of nocturnal RR in the patient's home environment. This finding may serve as a starting point for larger studies, e.g., to develop robust AECOPD prediction rules.

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Neue Verfahren in der respiratorischen Schlafmedizin

Dietz-Terjung,

Wildenauer,

Eggert

et al. 2023

Pneumo News

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A novel minimal-contact biomotion method for long-term respiratory rate monitoring

Cited by 7 publications

References 19 publications

Investigation of respiratory rate in patients with cystic fibrosis using a minimal-impact biomotion system

Investigation of respiratory rate in patients with cystic fibrosis using a minimal-impact biomotion system

At-home validation of remote breathing monitoring: A proof-of-concept for long-term care of respiratory patients using a non-contact, radar-based biomotion sensor

Neue Verfahren in der respiratorischen Schlafmedizin

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