Details
| Original language | English |
|---|---|
| Article number | 721 |
| Journal | Pharmaceutics |
| Volume | 13 |
| Issue number | 5 |
| Publication status | Published - 14 May 2021 |
Abstract
In order to deliver an aerosolized drug in a breath-triggered manner, the initiation of the patient’s inspiration needs to be detected. The best-known systems monitoring breathing patterns are based on flow sensors. However, due to their large dead space volume, flow sensors are not advisable for monitoring the breathing of (preterm) neonates. Newly-developed respiratory sensors, especially when contact-based (invasive), can be tested on (preterm) neonates only with great effort due to clinical and ethical hurdles. Therefore, a physiological model is highly desirable to validate these sensors. For developing such a system, abdominal movement data of (preterm) neonates are required. We recorded time sequences of five preterm neonates’ abdominal movements with a time-of-flight camera and successfully extracted various breathing patterns and respiratory parameters. Several characteristic breathing patterns, such as forced breathing, sighing, apnea and crying, were identified from the movement data. Respiratory parameters, such as duration of inspiration and expiration, as well as respiratory rate and breathing movement over time, were also extracted. This work demonstrated that respiratory parameters of preterm neonates can be determined without contact. Therefore, such a system can be used for breathing detection to provide a trigger signal for breath-triggered drug release systems. Furthermore, based on the recorded data, a physiological abdominal movement model of preterm neonates can now be developed.
Keywords
- Abdominal movement, Optical detection of breathing movements, Preterm neonate, Time-of-flight camera
ASJC Scopus subject areas
- Pharmacology, Toxicology and Pharmaceutics(all)
- Pharmaceutical Science
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In: Pharmaceutics, Vol. 13, No. 5, 721, 14.05.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Detection of Breathing Movements of Preterm Neonates by Recording Their Abdominal Movements with a Time-of-Flight Camera
AU - Wiegandt, Felix C.
AU - Biegger, David
AU - Fast, Jacob F.
AU - Matusiak, Grzegorz
AU - Mazela, Jan
AU - Ortmaier, Tobias
AU - Doll, Theodor
AU - Dietzel, Andreas
AU - Bohnhorst, Bettina
AU - Pohlmann, Gerhard
N1 - Funding Information: This work was supported by funding from the European Union (EU) within its Horizon 2020 programme, project MDOT (Medical Device Obligations Taskforce), Grant Agreement 814654, and from the German Federal Ministry of Education and Research (BMBF), Grant Agreement GS2SH016. The content is the sole responsibility of the authors and does not necessarily reflect the views of the aforementioned parties. The research leading to these results received funding from the European Union?s Horizon 2020 programme under Grant Agreement No. 777554. The preparation and execution of the study was supported by the employees of Fraunhofer ITEM and Hannover Medical School.
PY - 2021/5/14
Y1 - 2021/5/14
N2 - In order to deliver an aerosolized drug in a breath-triggered manner, the initiation of the patient’s inspiration needs to be detected. The best-known systems monitoring breathing patterns are based on flow sensors. However, due to their large dead space volume, flow sensors are not advisable for monitoring the breathing of (preterm) neonates. Newly-developed respiratory sensors, especially when contact-based (invasive), can be tested on (preterm) neonates only with great effort due to clinical and ethical hurdles. Therefore, a physiological model is highly desirable to validate these sensors. For developing such a system, abdominal movement data of (preterm) neonates are required. We recorded time sequences of five preterm neonates’ abdominal movements with a time-of-flight camera and successfully extracted various breathing patterns and respiratory parameters. Several characteristic breathing patterns, such as forced breathing, sighing, apnea and crying, were identified from the movement data. Respiratory parameters, such as duration of inspiration and expiration, as well as respiratory rate and breathing movement over time, were also extracted. This work demonstrated that respiratory parameters of preterm neonates can be determined without contact. Therefore, such a system can be used for breathing detection to provide a trigger signal for breath-triggered drug release systems. Furthermore, based on the recorded data, a physiological abdominal movement model of preterm neonates can now be developed.
AB - In order to deliver an aerosolized drug in a breath-triggered manner, the initiation of the patient’s inspiration needs to be detected. The best-known systems monitoring breathing patterns are based on flow sensors. However, due to their large dead space volume, flow sensors are not advisable for monitoring the breathing of (preterm) neonates. Newly-developed respiratory sensors, especially when contact-based (invasive), can be tested on (preterm) neonates only with great effort due to clinical and ethical hurdles. Therefore, a physiological model is highly desirable to validate these sensors. For developing such a system, abdominal movement data of (preterm) neonates are required. We recorded time sequences of five preterm neonates’ abdominal movements with a time-of-flight camera and successfully extracted various breathing patterns and respiratory parameters. Several characteristic breathing patterns, such as forced breathing, sighing, apnea and crying, were identified from the movement data. Respiratory parameters, such as duration of inspiration and expiration, as well as respiratory rate and breathing movement over time, were also extracted. This work demonstrated that respiratory parameters of preterm neonates can be determined without contact. Therefore, such a system can be used for breathing detection to provide a trigger signal for breath-triggered drug release systems. Furthermore, based on the recorded data, a physiological abdominal movement model of preterm neonates can now be developed.
KW - Abdominal movement
KW - Optical detection of breathing movements
KW - Preterm neonate
KW - Time-of-flight camera
UR - http://www.scopus.com/inward/record.url?scp=85106930500&partnerID=8YFLogxK
U2 - 10.3390/pharmaceutics13050721
DO - 10.3390/pharmaceutics13050721
M3 - Article
VL - 13
JO - Pharmaceutics
JF - Pharmaceutics
IS - 5
M1 - 721
ER -