View clinical trials related to Vital Signs.
Filter by:Dental fear and anxiety remain common problems that should be managed by both the dentist and the anesthetist. The currently available evidence for safe and effective sedative drugs for children undergoing the dental procedure is scarce The aim of this study was to compare the safety and efficacy of intravenous ketofol versus dexmedetomidine (Dex) as premedications a sedative in anxious children undergoing dental pulp therapy
Background and Aims: Music therapy has a wide range of uses in health care practice. The aim of this study was to investigate the effects of intraoperative music played during spinal anesthesia operation on the patients' intraoperative vital signs, postoperative pain, and anxiety status. Methods: The study was performed in an operating room with a total of 90 patients, of whom 30 were in the music group, 30 were in the control group and 30 were in the sedated group. The ethics committee's approval, institutional permission, and the study participants' written informed consent were obtained. Data were collected using patient information and intraoperative observation form for vital signs as well as through the Visual Analog Scale and State Anxiety Scale. Preoperative and postoperative anxiety, the intraoperative and postoperative vital signs and postoperative pain and anxiety of all groups were analyzed.
To develop an intervention to train family carers to perform and document basic vital signs whilst they provide personal care to their relatives after surgery in order to supplement patient monitoring conducted by nursing staff. To evaluate the effect of this intervention on the frequency of documented vital signs for patients in the first three days after surgery in a stepped-wedge cluster trial.
Patients and volunteers both with and without medical problems will be recruited; vital sign measurements are taken twice with normal equipment and while recording video data at the same time. The data collected will allow the Artificial Intelligence to develop the LifeLight algorithm to to improve measurement accuracy of its video data based vital signs monitor.
This study validates Lifelight® First, a software application, in a laboratory setting. Participants will undergo testing to obtain measurements from one or more of the four vital signs.
In recent years there has been increasing focus on the earlier detection of deterioration in the clinical condition of hospital patients with the aim of instigating earlier treatment to reverse this deterioration and prevent adverse outcomes. This is especially important in the ED, a dynamic environment with large volumes of undifferentiated patients, which carries inherent patient risk. SNAP40 is an innovative medical-grade device that can be worn on the upper arm that continuously monitors patients' vital signs including relative changes in systolic blood pressure, respiratory rate, heart rate, movement, blood oxygen saturation and temperature. It uses automated risk analysis to potentially allow clinical staff to easily and quickly identify high-risk patients. The aim of this study is to investigate whether the SNAP40 device is able to identify deterioration in the vital sign physiology of an ED patient earlier than current standard monitoring and observation charting techniques.
To this date no clinical evaluation reports of the dynamics in the National Early Warning Score (NEWS) for those patients who suffer an in-hospital cardiac arrest, IHCA, exists. This process needs to be investigated in order to optimize the future care of these patients. Research Questions H1: Patients that suffer an IHCA has had higher NEWS in the preceding 24 hours from the event compared to those who did not suffer an IHCA. H2: The dynamics in the NEWS, differs between the patients that suffer an IHCA and those who do not in the preceding 24 hours from the event.
To assess the feasibility and usability of the Vital Signs Patch (VSP) System in the in-patient hospital setting to monitor vital signs using a patch, brain, gateway, and console. The VSP System will be incorporated into the study site's Information Technology infrastructure.
To assess the feasibility and usability of the VSP System in the in-patient hospital setting to monitor vital signs using a patch, brain, gateway, and console. The VSP System will be incorporated into the study site's Information Technology infrastructure.
Study hypothesis: Machine Learning algorithms and techniques previously developed for use in the robotics field can be applied to the field of medicine. These state-of-the-art, feature extraction and machine learning techniques can utilize patient vital sign data from bedside monitors to discover hidden relationships within the physiological waveforms and identify physiological trends or concerning conditions that are predictive of various clinical events. These algorithms could potentially provide preemptive alerts to clinicians of a developing patient problem, well before any human could detect a worrisome combination of events or trend in the data. Specific aims: 1. Collect physiological waveform and numeric trend data from patient vital signs monitors in ICUs at the University of Colorado Hospital and Children's Hospital Colorado. 2. Combine the physiological data from patient monitors with clinical data obtained from patient Electronic Medical Records including IV fluids, medications, ventilator settings, urine output, etc. for use in developing models of various clinical conditions. 3. Apply Machine Learning techniques to these models to identify physiological waveform features and trend information, which are characteristic and predictive of common clinical conditions including but not limited to: - Post-operative atrial fibrillation and other cardiac dysrhythmias - Post-operative cardiac tamponade - Tension pneumothorax - Optimal post-operative and post-resuscitation fluid needs - Intracranial hypertension and cerebral perfusion pressure