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There is one clinical trial.
This pilot study aims to investigate the feasibility of using Hexoskin cardiorespiratory and activity data, as well as patient symptomatology, to provide an AI model for disease progression that will be at the service of the clinical team to recommend the best customized and evolving care trajectory for each patient.
Description: Evaluating the feasibility of a virtual trial to collect physiological data with the Hexoskin Platform.
Measure: Qualitative assessment of the feasibility of the Hexoskin Platform and Virtual Recruitment Process via three subjective feedback questionnaires provided to all patients enrolled in the study. Time: Up to six monthsDescription: Assessing the quality of the data collected with Hexoskin with the Hexoskin quality assessment channels from patients recruited during a virtual trial.
Measure: Ensure the collection of high-quality data during wake and sleep activities, registered as overall > 90% good quality cardiac data and overall > 90% good quality respiratory data per recording. Time: Up to six monthsDescription: Determine the participant's level of compliance with study procedures of the research protocol.
Measure: Ensure adequate patient compliance, qualified as > 75% of total recording hours completed, and > 75% of daily questionnaires completed. Time: Up to six monthsDescription: Assessing the feasibility to use the data collected to build a predictive algorithm for the Hexoskin Remote Monitoring Platform.
Measure: Investigate the predictive power of Hexoskin physiological data, patient information and symptoms information to correctly classify patient disease progression quantified as the area under the receiver operator characteristics curve (AUC ROC > 0.70). Time: Up to six months