An easy and accurate respiratory rate monitor is necessary

Marjanovic, Nicolas; Mimoz, Olivier; Guenezan, Jérémy

doi:10.1007/s10877-019-00357-1

Cited by 24 publications

(18 citation statements)

References 12 publications

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“…In spite of the fact that RR is one of the main vital signs that measure the body’s most basic functions, it is rarely monitored continuously in the perioperative setting 36 , primarily due to the lack of a reliable measurement tool other than a clinician’s manual counting of a patient’s breaths for 30 s or one minute. Impedance plethysmography has been used for automated measurements of RR, but its reliability was questioned, especially when physiological and/or non-physiological movements occur 37 .…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the discrepancy between RR Cap and RR EIT is more likely caused by the Capnostream35. Reasons for this could include the instability and inaccuracy of the sidestream capnography signal using an oronasal cannula due to coughing, talking and other motions in addition to cannula misplacement and moisture accumulation inside 14 , 15 , 36 . Although capnography is considered to be very reliable for continuous RR measurements on patients with masks 38 , RR measurements using the sidestream capnography with an oronasal cannula could produce erroneous results at times.…”

Section: Discussionmentioning

confidence: 99%

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Respiration monitoring in PACU using ventilation and gas exchange parameters

Kang

You

Youngsoon

et al. 2021

Sci Rep

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The importance of perioperative respiration monitoring is highlighted by high incidences of postoperative respiratory complications unrelated to the original disease. The objectives of this pilot study were to (1) simultaneously acquire respiration rate (RR), tidal volume (TV), minute ventilation (MV), SpO2 and PetCO2 from patients in post-anesthesia care unit (PACU) and (2) identify a practical continuous respiration monitoring method by analyzing the acquired data in terms of their ability and reliability in assessing a patient’s respiratory status. Thirteen non-intubated patients completed this observational study. A portable electrical impedance tomography (EIT) device was used to acquire RREIT, TV and MV, while PetCO2, RRCap and SpO2 were measured by a Capnostream35. Hypoventilation and respiratory events, e.g., apnea and hypopnea, could be detected reliably using RREIT, TV and MV. PetCO2 and SpO2 provided the gas exchange information, but were unable to detect hypoventilation in a timely fashion. Although SpO2 was stable, the sidestream capnography using the oronasal cannula was often unstable and produced fluctuating PetCO2 values. The coefficient of determination (R2) value between RREIT and RRCap was 0.65 with a percentage error of 52.5%. Based on our results, we identified RR, TV, MV and SpO2 as a set of respiratory parameters for robust continuous respiration monitoring of non-intubated patients. Such a respiration monitor with both ventilation and gas exchange parameters would be reliable and could be useful not only for respiration monitoring, but in making PACU discharge decisions and adjusting opioid dosage on general hospital floor. Future studies are needed to evaluate the potential clinical utility of such an integrated respiration monitor.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Respiration monitoring in PACU using ventilation and gas exchange parameters

Kang

You

Youngsoon

et al. 2021

Sci Rep

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“…36,73,91 In traditional clinical settings, respiratory rate is often measured by a manual count of the chest rising and falling, which is prone to error and not suitable for continuous remote monitoring. 9,107,108 BioMeTs that measure respiratory rate often do so by measuring chest wall movements or by…”

Section: Respiratory Ratementioning

confidence: 99%

An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of COVID‐19

Manta

Jain

Coravos

et al. 2020

Clinical Translational Sci

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The novel coronavirus disease 2019 (COVID‐19) global pandemic has shifted how many patients receive outpatient care. Telehealth and remote monitoring have become more prevalent, and measurements taken in a patient’s home using biometric monitoring technologies (BioMeTs) offer convenient opportunities to collect vital sign data. Healthcare providers may lack prior experience using BioMeTs in remote patient care, and, therefore, may be unfamiliar with the many versions of BioMeTs, novel data collection protocols, and context of the values collected. To make informed patient care decisions based on the biometric data collected remotely, it is important to understand the engineering solutions embedded in the products, data collection protocols, form factors (physical size and shape), data quality considerations, and availability of validation information. This article provides an overview of BioMeTs available for collecting vital signs (temperature, heart rate, blood pressure, oxygen saturation, and respiratory rate) and discusses the strengths and limitations of continuous monitoring. We provide considerations for remote data collection and sources of validation information to guide BioMeT use in the era of COVID‐19 and beyond.

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“…RR normally ranges from 12 to 20 bpm for a healthy adult at rest [1]. RR has been determined as the vital sign that is most necessary to be continuously monitored [2]. It can reflect clinical information relating to neurological, cardiac, and pulmonary conditions.…”

Section: Introductionmentioning

confidence: 99%

A Wearable Breath Sensor Based on Fiber-Tip Microcantilever

et al. 2022

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Respiration rate is an essential vital sign that requires monitoring under various conditions, including in strong electromagnetic environments such as in magnetic resonance imaging systems. To provide an electromagnetically-immune breath-sensing system, we propose an all-fiber-optic wearable breath sensor based on a fiber-tip microcantilever. The microcantilever was fabricated on a fiber-tip by two-photon polymerization microfabrication based on femtosecond laser, so that a micro Fabry–Pérot (FP) interferometer was formed between the microcantilever and the end-face of the fiber. The cavity length of the micro FP interferometer was reduced as a result of the bending of the microcantilever induced by breath airflow. The signal of breath rate was rebuilt by detecting power variations of the FP interferometer reflected light and applying dynamic thresholds. The breath sensor achieved a high sensitivity of 0.8 nm/(m/s) by detecting the reflection spectrum upon applied flow velocities from 0.53 to 5.31 m/s. This sensor was also shown to have excellent thermal stability as its cross-sensitivity of airflow with respect to the temperature response was only 0.095 (m/s)/°C. When mounted inside a wearable surgical mask, the sensor demonstrated the capability to detect various breath patterns, including normal, fast, random, and deep breaths. We anticipate the proposed wearable breath sensor could be a useful and reliable tool for respiration rate monitoring.

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An easy and accurate respiratory rate monitor is necessary

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Cited by 24 publications

References 12 publications

Respiration monitoring in PACU using ventilation and gas exchange parameters

Respiration monitoring in PACU using ventilation and gas exchange parameters

An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of COVID‐19

A Wearable Breath Sensor Based on Fiber-Tip Microcantilever

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