![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Open AccessUsing New Technologies and Wearables for Characterizing Sleep in Population-based Studies
With the increasing prevalence of commercially available wearable digital devices in sleep medicine, this review aims to address some of the benefits and concerns with using these devices, with a specific focu...
-
Article
Open AccessObjectively measured peri-vaccination sleep does not predict COVID-19 breakthrough infection
Prior studies have shown that sleep duration peri-vaccination influences an individual’s antibody response. However, whether peri-vaccination sleep affects real-world vaccine effectiveness is unknown. Here, we...
-
Article
Open AccessCitizen data sovereignty is key to wearables and wellness data reuse for the common good
Smartphones, smartwatches, linked wearables, and associated wellness apps have had rapid uptake. These tools become ever ‘smarter’ in sensing intimate aspects of our surroundings and physiology over time, incl...
-
Article
Open AccessPrediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias
Early identification of atrial fibrillation (AF) can reduce the risk of stroke, heart failure, and other serious cardiovascular outcomes. However, paroxysmal AF may not be detected even after a two-week contin...
-
Article
Remote Monitoring in Cardiovascular Diseases
The purpose of this review is to discuss and explore selected clinically integrated and commercially available devices, the data supporting them, as well as the next phase of devices that are coming down the p...
-
Article
The digital phenotype of vaccination
-
Article
Smartphone apps in the COVID-19 pandemic
At the beginning of the COVID-19 pandemic, analog tools such as nasopharyngeal swabs for PCR tests were center stage and the major prevention tactics of masking and physical distancing were a throwback to the ...
-
Article
Open AccessInter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands
The ability to identify who does or does not experience the intended immune response following vaccination could be of great value in not only managing the global trajectory of COVID-19 but also hel** guide ...
-
Article
Open AccessPassive detection of COVID-19 with wearable sensors and explainable machine learning algorithms
Individual smartwatch or fitness band sensor data in the setting of COVID-19 has shown promise to identify symptomatic and pre-symptomatic infection or the need for hospitalization, correlations between periph...
-
Article
Wearable sensor data and self-reported symptoms for COVID-19 detection
Traditional screening for COVID-19 typically includes survey questions about symptoms and travel history, as well as temperature measurements. Here, we explore whether personal sensor data collected over time ...
-
Article
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Here we present the MI-CLAIM checklist, a tool intended to improve transparent reporting of AI algorithms in medicine.