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Algorithms clinical trials

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NCT ID: NCT05523830 Completed - Energy Metabolism Clinical Trials

Estimation of Energy Expenditure and Physical Activity Classification With Wearables

EEPAC
Start date: May 18, 2022
Phase:
Study type: Observational

Regular physical activity (PA) is proven to help prevent and treat several non-communicable diseases such as heart disease, stroke, and diabetes. Intensity is a key characteristic of PA that can be assessed by estimating energy expenditure (EE). However, the accuracy of the estimation of EE based on accelerometers are lacking. It has been suggested that the addition of physiological signals can improve the estimation. How much each signal can add to the explained variation and how they can improve the estimation is still unclear. The goal of the current study is twofold: to explore the contribution of heart rate (HR), breathing rate (BR) and skin temperature to the estimation of EE develop and validate a statistical model to estimate EE in simulated free-living conditions based on the relevant physiological signals.

NCT ID: NCT05366660 Completed - Telemedicine Clinical Trials

Remote Programming of Cardiac Implantable Electronic Device

REACT
Start date: June 8, 2021
Phase: N/A
Study type: Interventional

Cardiac Implantable Electronic Devices (CIEDs) such as pacemakers and implantable cardioverter defibrillators, need to be regularly interrogated and reprogrammed to ensure proper functioning. While remote monitoring allows for partial interrogation at a remote location, full interrogation and changing the CIED parameters is only possible when the patient visits a cardiologist capable of performing device programming. This can be challenging for patients and may cause unnecessary delays, particularly in settings of limited resources, enforced physical distancing, and quarantines. We aim to investigate the efficacy and safety of remote programming.

NCT ID: NCT04602676 Completed - Clinical trials for Decision Support Systems, Clinical

The Acceptability and Impact of Diarrheal Etiology Prediction (DEP) Algorithm

Start date: November 18, 2020
Phase: N/A
Study type: Interventional

This is a randomized crossover study, where clinicians will be randomized to periods where they will use a rehydration calculator application with or without the Diarrheal Etiology Prediction (DEP) algorithm. The crossover will include a washout period to reduce carryover effect. The study will be conducted over a 9-week period. The Investigators will use a random number generator to randomize clinicians to DEP (use of the etiology calculator) or control arm (use of a previously-tested rehydration calculator) within site for the first 4 weeks. After the first 4 weeks, there will be 1-week washout period without decision support, after which each clinician will cross-over to the other arm for the next 4 weeks. The Investigators will enroll diarrhea-treating clinicians who treat children presenting with acute diarrhea at sites in Bangladesh and Mali. Utah investigators will only analyze de-identified data provided by our collaborators in Bangladesh and Mali.

NCT ID: NCT03193671 Completed - Ovarian Neoplasms Clinical Trials

Evaluation and Implementation of New Biomarkers and Algorithms for Diagnosis of Ovarian Cysts/Tumors in the Pelvis

Start date: September 1, 2013
Phase: N/A
Study type: Observational [Patient Registry]

This study evaluates the biomarkers CA125 and HE4 and the algorithms RMI and ROMA on a normal population in the western region of Sweden. The aim is to improve diagnosis of ovarian cancer. If the investigators observe a clear improvement in the early diagnosis of EOC, the investigators aim to implement the best strategy for all patients with suspected pelvic tumor mass in the western region of Sweden.