View clinical trials related to Wearable Electronic Devices.
Filter by:The goal of this study is to learn if a smartwatch is effective to identify factors related to sleep quality and habits of adults (30 years old or more), enabling the improvement and/or creation of instruments to assess overall health status and sleep quality. The main question it aims to answer is: - Does the smartwatch application (software) indicate sleep habits and measure sleep quality in accordance to the standardized clinical instruments commonly used to assess sleep?
This is a Randomized Controlled trial to evaluate if continuous heart rate and -rhythm monitoring with a photoplethysmography (PPG) smartwatch wearable (Apple Watch series 5) can detect atrial fibrillation at an early stage in cardiac patients with a known high risk of developing AF (ChadsVasc score ≥ 2 men; ≥3 women; age ≥ 65). In this monocenter, single arm, prospective randomized controlled trial the investigators will enroll 306 patients (153 per arm). An absolute in between-group difference of 8.5% in diagnosing patients with new AF in favor of the interventional group during a six month study period is hypothesized.
WildCam is a wearable device that collects video data of the user's face and upper torso to capture eating behaviors. WildCam and its accompanying software is privacy conscious, meaning it utilizes a computer vision algorithm that extracts proximal features (the user's body and objects-in-hand) from the video and digitally obfuscates the distal features (background environment and entities therein) to preserve the privacy of the wearer, as well as any bystanders who may be in the device's visual field. The present study tests the impact of 3 different obfuscation techniques on acceptability, including the willingness of users to wear the device. Participants are randomly assigned to 1 of the 3 obfuscation techniques (blurring, masking, or cartooning). Participants wear the WildCam during waking hours during a 7-day period with the randomly selected obfuscation setting enabled and a 7-day period with the raw images (no obfuscation) setting. The order of these periods is counterbalanced, and the two periods are separated by a 7-day washout period during which WildCam is not worn. Structured feedback, including user burden and acceptability surveys, is collected to determine the efficacy of each obfuscation technique on increasing user acceptability, including willingness to use the WildCam device, as opposed to a video-collecting device without obfuscation.
The study investigates the technical feasibility of using mobile health trackers for monitoring of hospitalized patients. Therefore the measurement accuracy of several vital parameters in postoperative hospitalized patients will be compared to clinical gold standard. Factors that could have an influence on the measurement accuracy of the mobile sensors will be investigated.Furthermore patient compliance in continous use of mobile health trackers and technical feasibility of needed data flow will be analyzed. In addition, patients' activity levels are recorded and correlated with various clinical parameters.
Non-professional carers (typically family members) play a critical role in providing adequate home care. This research explores the use of wearable sensors (WS) and electronic patient-reported outcome (ePRO) surveys to monitor stress levels of advanced cancer patient/carer dyads. During wear times, WS-triggered ecological momentary assessments (EMAs) were conducted via short smartphone-based surveys. This pilot study investigates the feasibility of EMAs in community palliative care.
"La Casa nel Parco" (CANP) Project is a multidisciplinary project funded by the European Union and Regione Piemonte aimed to explore innovative technology application in the care of older subjects. In this context, ADAMO is a single arm open label trial evaluating the capability of a wearable watch device to correctly detect fall events in community-dwelling older subjects aged 75 years and older, at high risk of falls. Secondary objectives of the study are to identify specific patterns on telemetric measures and health status variations able to predict future fall events, and to evaluate the tolerability and the influence on patient's quality of life of this wearable device. The main objectives of the study are to evaluate the impact of the intervention on 1) medication adherence after discharge 2) medication appropriateness.
The aim of this study is to establish an innovative Cardiac Tele-Rehabilitation (CTR) model. It could expands assistance resources through coordination with public administrations, developing a physical exercise program (PEP) assistance model in phase II that resolves the current situation of lack of adherence in the PEP due in part to the long waiting time to start it. To sum up this study could improve adherence in Cardiac Rehabilitation Phase III. It represents an opportunity to validate an innovative model for the realization of the PEP for phase II that could be expanded to other centres.