scholarly journals Respiratory Volume Monitoring in the Perioperative Setting Across Multiple Centers

2020 ◽  
Vol 65 (4) ◽  
pp. 482-491
Author(s):  
Chunyuan Qiu ◽  
Eugene Cheng ◽  
Shawn R Winnick ◽  
Vu T Nguyen ◽  
Fang-Chen Hou ◽  
...  
Keyword(s):  
Respiratory Volume

RESPIRATORY VOLUME-PRESSURE RELATIONSHIPS DURING ANAESTHESIA

1974 ◽  
Vol 18 (2) ◽  
pp. 108
Author(s):  
C. L. WALTEMATH ◽  
N. A. BERGMAN ◽  
D. D. PREUSS
Keyword(s):  
Respiratory Volume

Improving patient safety during procedural sedation via respiratory volume monitoring: A randomized controlled trial

2018 ◽  
Vol 46 ◽  
pp. 118-123 ◽  
Author(s):  
Donald M. Mathews ◽  
Michael J. Oberding ◽  
Eric L. Simmons ◽  
Stephen E. O'Donnell ◽  
Kevin R. Abnet ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Patient Safety ◽  
Controlled Trial ◽  
Procedural Sedation ◽  
Respiratory Volume ◽  
Randomized Controlled

scholarly journals Respiratory Volume Monitoring Reduces Hypoventilation and Apnea in Subjects Undergoing Procedural Sedation

2017 ◽  
Vol 63 (4) ◽  
pp. 448-454 ◽  
Author(s):  
Robert H Nichols ◽  
Justin A Blinn ◽  
Thuan M Ho ◽  
Robert A McQuitty ◽  
Michael P Kinsky
Keyword(s):  
Procedural Sedation ◽  
Respiratory Volume

scholarly journals Noninvasive monitoring of respiratory volume.

Anaesthesia ◽  
1993 ◽  
Vol 48 (7) ◽  
pp. 608-610 ◽  
Author(s):  
H. M. AMIN ◽  
M. CICADA ◽  
W. E. FORDYCE ◽  
E. M. CAMPORESI
Keyword(s):  
Noninvasive Monitoring ◽  
Respiratory Volume

scholarly journals Level-Set Segmentation-Based Respiratory Volume Estimation Using a Depth Camera

2019 ◽  
Vol 23 (4) ◽  
pp. 1674-1682 ◽  
Author(s):  
KyeongTaek Oh ◽  
Cheung Soo Shin ◽  
Jeongmin Kim ◽  
Sun K. Yoo
Keyword(s):  
Level Set ◽  
Volume Estimation ◽  
Depth Camera ◽  
Respiratory Volume ◽  
Level Set Segmentation

Respiratory Volume Estimation by a Stretchable Textile Sensor

2012 ◽  
Vol 80 ◽  
pp. 136-141 ◽  
Author(s):  
Yu Enokibori ◽  
Yoshu Ito ◽  
Koji Ikeda ◽  
Akihisa Suzuki ◽  
Yuuki Shimakami ◽  
...  
Keyword(s):  
Motion Capture ◽  
Volume Estimation ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Respiratory Volume ◽  
Respiration Monitoring ◽  
Volume Curve ◽  
Flow Volume Curve ◽  
Textile Sensor ◽  
Conductive Fibers

E-Textiles using fabric sensors have been studied well for respiration monitoring in recent years; they can estimate respiratory rates and patterns. However, studies of respiratory volume and flow estimation remain unestablished, although they are necessary for the inspection and monitoring of chronic obstructive pulmonary disease (COPD). In this paper, we introduce a new stretchable textile sensor and examine how to calculate respiratory volume. The sensor can stretch up to about 150% (e.g., 13 to 20 cm). The stretch can be detected from the electronic potential changes between conductive fibers. We analyzed the relationships between the respiratory volume and the torso-surface movements using motion capture. In our evaluation, the mean rooted mean standard errors (RMSEs) of the estimated volumes were 0.39 ± 0.17 (L) among four datasets with motion capture and 0.62 ± 0.22 (L) among three datasets with the textile sensor. In addition, we successfully drew a similar flow volume curve (FVC) to those captured with a spirometer.

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