View clinical trials related to Respiratory Rate.
Filter by:This study is being conducted in order to understand more about how the body responds to a mind/body practice called yoga nidra. Results from this study will be used to inform the design of future studies that investigate the effects of yoga nidra on sleep quality and insomnia. Yoga nidra is a simple guided meditation technique that involves lying still on a mattress while listening to a voice. Participants will follow simple instructions that involve becoming aware of their body and breath, as well as various memories, emotions, and images. This practice is not religious in nature. The investigators do not believe it will conflict with any religious beliefs. The goal of this practice is to help get rid of mental, physical and emotional tensions.
The respiratory rate is an important parameter in clinical medicine. It is defined as the number of breaths per minute. Currently this is measured at the bedside in clinical practice by counting the breaths, however the gold standard for measuring this vital sign is the capnograph. For the patient, this involves wearing a tube in their nose and around their ears while trying to minimise their movement and talking so that the measurements can be taken. A new respiratory rate monitor, RespiraSense, is non-invasive and measures the respiratory rate by measuring the displacement between the ribs and abdomen. This research study is intended to validate that this technology is effective and accurate on people with a bigger body mass. Subjects with a BMI > 35 will be invited to participate should they meet all of the eligibility criteria. If patients agree to participate, following informed consent, subjects will be monitored for one hour with both the capnograph and RespiraSense measuring at the same time so their results can be compared
This investigation is looking at a currently available technology to see if it could have another use i.e. in helping to diagnose patients with sleep apnoea. With 2-4% of the population suffering from this disease, and the current wait time for a test at approximately 20 weeks, it is hoped that a simple screening method could help speed up the process of finding these patients and getting them on treatment faster. The current standard of care test involves a sleep study in the patients own home with a device with multiple parts and wires. The RespiraSense Sleep Screener is completely cableless and consists of one small, discrete unit attached to the patients side and a mobile device plugged in by the bed. Patients at Queen Alexandra Hospital who are prescribed sleep studies will be invited to participate. The RespiraSense Sleep Screener data is only for comparison purposes and will have no effect on their clinical care. If patients agree to participate they will undergo the sleep study with both devices in the same night and may be followed up with over the phone on their experiences with the test.
Your respiratory rate is your number of breaths per minute. The standard way for this to be measured is by a nurse looking at you for one minute and manually counting your breaths over this time. They normally do this once every few hours. At times, it can be useful to have your respiratory rate continuously monitored. A device that can do this is a capnograph. For the patient, this involves wearing a tube in their nose and around their ears while trying to minimise their movement and talking so the measurements can be taken. This research study is looking at a new respiratory rate monitor and comparing how well it works against the current accepted methods. Patients who are admitted to the Acute Medical Unit will be invited to participate should they meet all eligibility criteria. Subjects will be monitored for two hours: (i) For the first hour subjects will wear a capnograph, RespiraSense and have their respiratory rate manually counted by a research nurse. During this time the subject will be asked to keep talking and moving to a minimum. (ii) For the second hour subjects will wear RespiraSense and have their respiratory rate manually counted by a research nurse. During this time the subject can talk and move as they wish.
Post-operative pulmonary complications (PPCs) have a major impact on patients and healthcare expenses. The goal of perioperative respiratory therapy is to improve airway clearance, increase lung volume, and mitigate atelectasis. Incentive spirometers (IS) are ubiquitously used to prevent atelectasis and PPCs—implementation of which requires substantial provider time and healthcare expenses. However, meta-analyses have demonstrated that the effectiveness of ISs is unclear due to poor patient compliance in past studies. The goal of this investigation is evaluate the effectiveness of IS on post-operative clinical outcomes. The aims of this investigation are to evaluate 1) if IS use compliance can be improved by adding a use-recording patient reminder alarm, and 2) the clinical outcomes of the more compliant IS users vs. the less-compliant IS users.
Continuous accurate unobtrusive respiratory rate monitoring may lead to improved patient outcomes, as respiratory rate is thought to be a sensitive marker of patient deterioration. Currently systems are not suitable for long term monitoring, particularly in ambulant patients as they are too restrictive. To ensure that our algorithms are suitable for use in a clinical context we need to demonstrate their performance not only in the optimal situation, healthy volunteers at rest, but also in more challenging situations such as where the person being monitored is moving and also in patients who have conditions which may affect their physiology in such a way that the accuracy of the respiration rate estimation may be affected. No previous study has systematically tested algorithms deriving respiratory rate from either the ECG or the photoplethysmography (PPG) waveforms in a real -world setting. The algorithms work by looking for changes in intervals between heartbeats and also changes in the sizes of the ECG and PPG waveforms, both of which may be caused by respiration. These changes tend to diminish with increasing age and also conditions which alter the chest movement and cardiac reflexes. Thus it is important to test our algorithms' accuracy in participants exhibiting these conditions. It is also important to ensure that the calculations of respiratory rate are accurate across a range of heart rates and respiratory rates. Our testing covers all these variables.