ArticleSensors (Basel, Switzerland)2018
Continuous Monitoring of Respiratory Rate in Emergency Admissions: Evaluation of the RespiraSense™ Sensor in Acute Care Compared to the Industry Standard and Gold Standard.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses 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
34 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A review of the literature on the accuracy, strengths, and limitations of visual, thoracic impedance, and electrocardiographic methods used to measure respiratory rate in hospitalized patients.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021Pooled it
- The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Sensing Systems for Respiration Monitoring: A Technical Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Clinical validation of a novel accelerometer-based respiratory rate monitor.Journal of clinical monitoring and computing · 2026Observational
- Comparison of manual and automated respiratory rate measurements on hospital wards: a prospective observational study.Journal of clinical monitoring and computing · 2026Observational
- Article
- Evaluating the effect of heart and respiratory rate measurement errors on the ability to predict the outcome of high flow nasal cannula therapy: a multi-centre study.Critical care (London, England) · 2025Article
- New sensors for the early detection of clinical deterioration on general wards and beyond - a clinician's perspective.Journal of clinical monitoring and computing · 2025Review
- The optimal duration of continuous respiratory rate monitoring to predict in-hospital mortality within seven days of admission - A pilot study in a low resource setting.Resuscitation plus · 2024Article
- Speckle Vibrometry for Contactless Instantaneous Heart Rate and Respiration Rate Monitoring on Mechanically Ventilated Patients.Sensors (Basel, Switzerland) · 2024Article
- Economic Perspective of the Use of Wearables in Health Care: A Systematic Review.Mayo Clinic proceedings. Digital health · 2024Review
- SolunumWear: A smart textile system for dynamic respiration monitoring across various postures.iScience · 2024Article
- Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study.JMIR formative research · 2024Article
- Respiratory Rate Estimation during Walking and Running Using Breathing Sounds Recorded with a Microphone.Biosensors · 2023Article
- Multi-Modal Portable Respiratory Rate Monitoring Device for Childhood Pneumonia Detection.Micromachines · 2023Article
- Feasibility Analysis and Implementation of Head-Mounted Electrical Impedance Respiratory Monitoring.Biosensors · 2022Article
- A Low-Cost Flexible Perforated Respiratory Sensor Based on Platinum for Continuous Respiratory Monitoring.Micromachines · 2022Article
- A capaciflector provides continuous and accurate respiratory rate monitoring for patients at rest and during exercise.Journal of clinical monitoring and computing · 2022Article
- Non-Contact Breathing Monitoring Using Sleep Breathing Detection Algorithm (SBDA) Based on UWB Radar Sensors.Sensors (Basel, Switzerland) · 2022Article
- Data Augmentation and Transfer Learning for Data Quality Assessment in Respiratory Monitoring.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory Rate (RR) is the best marker to indicate deterioration but measurement are often inaccurate. The RespiraSense™ is a non-invasive, wireless, body worn, motion-tolerant and continuous respiratory rate monitor. We aimed to determine whether the performance of RespiraSense™ was equivalent to that of a gold standard measurement technique of capnography and the industry standard of manual counts. RespiraSense™ measures respiratory rate and transmit signals wirelessly to a tablet device. We measured respiratory rate in 24 emergency admissions to an Acute Medical Unit in the UK. Patients were observed for two hours. Manual counts were undertaken every 15 min and compared to measurements with capnography and RespiraSense™. Data from 17 patients admitted as medical emergencies was evaluated. For measurements obtained at rest a mean RR of 19.3 (SD 4.89) for manual measurements compared to mean RR of 20.2 (SD 4.54) for measurements obtained with capnography and mean RR of 19.8 (SD 4.52) with RespiraSense™. At rest, RespiraSense™ has a bias of 0.38 and limits of agreement of 1.0 to 1.8 bpm, when compared to the capnography derived RR. Measurements were within pre-defined limits of error at rest. Continuous measurement of RR with RespiraSense™ in patients admitted as acute emergencies is both feasible and reliable.
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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.