Chrome Extension
WeChat Mini Program
Use on ChatGLM

A capaciflector provides continuous and accurate respiratory rate monitoring for patients at rest and during exercise

Nick Hayward, Mahdi Shaban,James Badger, Isobel Jones,Yang Wei,Daniel Spencer, Stefania Isichei, Martin Knight,James Otto, Gurinder Rayat,Denny Levett,Michael Grocott,Harry Akerman,Neil White

Journal of Clinical Monitoring and Computing(2022)

Cited 4|Views18
No score
Abstract
Respiratory rate (RR) is a marker of critical illness, but during hospital care, RR is often inaccurately measured. The capaciflector is a novel sensor that is small, inexpensive, and flexible, thus it has the potential to provide a single-use, real-time RR monitoring device. We evaluated the accuracy of continuous RR measurements by capaciflector hardware both at rest and during exercise. Continuous RR measurements were made with capaciflectors at four chest locations. In healthy subjects (n = 20), RR was compared with strain gauge chest belt recordings during timed breathing and two different body positions at rest. In patients undertaking routine cardiopulmonary exercise testing (CPET, n = 50), RR was compared with pneumotachometer recordings. Comparative RR measurement bias and limits of agreement were calculated and presented in Bland–Altman plots. The capaciflector was shown to provide continuous RR measurements with a bias less than 1 breath per minute (BPM) across four chest locations. Accuracy and continuity of monitoring were upheld even during vigorous CPET exercise, often with narrower limits of agreement than those reported for comparable technologies. We provide a unique clinical demonstration of the capaciflector as an accurate breathing monitor, which may have the potential to become a simple and affordable medical device. Clinical trial number: NCT03832205 https://clinicaltrials.gov/ct2/show/NCT03832205 registered February 6th, 2019.
More
Translated text
Key words
Respiratory rate, Respiratory monitoring, Critical care, Perioperative medicine, Capaciflector, Sensor
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined