ArticleJournal of clinical monitoring and computing2020
Non-invasive continuous respiratory monitoring using temperature-based sensors.
Article in Journal of clinical monitoring and computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Sensing Systems for Respiration Monitoring: A Technical Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Adaptive Thermal Imaging Signal Analysis for Real-Time Non-Invasive Respiratory Rate Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Towards the Instrumentation of Facemasks Used as Personal Protective Equipment for Unobtrusive Breathing Monitoring of Workers.Sensors (Basel, Switzerland) · 2024Article
- Estimation of ventilatory thresholds during exercise using respiratory wearable sensors.NPJ digital medicine · 2024Article
- Advances in Respiratory Monitoring: A Comprehensive Review of Wearable and Remote Technologies.Biosensors · 2024Review
- Review
- Assessment of neonatal respiratory rate variability.Journal of clinical monitoring and computing · 2022Article
- Embedded Electronic Sensor for Monitoring of Breathing Activity, Fitting and Filter Clogging in Reusable Industrial Respirators.Biosensors · 2022Article
- Feasibility Analysis and Implementation of Head-Mounted Electrical Impedance Respiratory Monitoring.Biosensors · 2022Article
- Polymeric piezoresistive airflow sensor to monitor respiratory patterns.Journal of the Royal Society, Interface · 2021Article
- Complex-Valued Wavelet Spectrum Analysis of Respiratory Conditions and Its Feasibility in the Detection of Low-Functional Respiration.Healthcare (Basel, Switzerland) · 2021Article
- Smart Recognition COVID-19 System to Predict Suspicious Persons Based on Face Features.Journal of electrical engineering & technology · 2021Article
- Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study.Journal of clinical monitoring and computing · 2020Article
Corrections and comments
- Commented on by
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Respiratory rate (RR) is a key vital sign that has been traditionally employed in the clinical assessment of patients and in the prevention of respiratory compromise. Despite its relevance, current practice for monitoring RR in non-intubated patients strongly relies on visual counting, which delivers an intermittent and error-prone assessment of the respiratory status. Here, we present a novel non-invasive respiratory monitor that continuously measures the RR in human subjects. The respiratory activity of the user is inferred by sensing the thermal transfer between the breathing airflow and a temperature sensor placed between the nose and the mouth. The performance of the respiratory monitor is assessed through respiratory experiments performed on healthy subjects. Under spontaneous breathing, the mean RR difference between our respiratory monitor and visual counting was 0.4 breaths per minute (BPM), with a 95% confidence interval equal to [- 0.5, 1.3] BPM. The robustness of the respiratory sensor to the position is assessed by studying the signal-to-noise ratio in different locations on the upper lip, displaying a markedly better performance than traditional thermal sensors used for respiratory airflow measurements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.