In Situ Physiologic and Behavioral Monitoring With Digital Sensors for Cerebrovascular Disease: A Scoping Review

Feasibility of Observing Cerebrovascular Disease Phenotypes with Smartphone Monitoring: Study Design Considerations for Real-World Studies

“…To date, most digital phenotyping studies have been observational studies to evaluate the feasibility of using an early-stage technology [ 45 ]. Numerous studies have been published assessing biomarkers linked with quality of life or behavioral changes in patients with a wide range of diagnoses [ 45 ].…”

“…To date, most digital phenotyping studies have been observational studies to evaluate the feasibility of using an early-stage technology [ 45 ]. Numerous studies have been published assessing biomarkers linked with quality of life or behavioral changes in patients with a wide range of diagnoses [ 45 ]. These studies typically enroll fewer than 100 participants, rendering the findings of such investigations limited regarding generalizability [ 46 ].…”

Towards a conceptual framework for addressing state-level barriers to decentralized clinical trials in the U.S.

“…While some DCT research evaluates pharmacological agents, others focus on remote monitoring [11][12][13]; regardless, DCTs are not limited by geographic restrictions, affording patients the option to participate from anywhere. Their scalable approach also has the potential to reduce patient burden, replacing in-person consults with telehealth, and improve the robustness of study data, capturing continuous in situ measurements using sensors [14]. No published research has specifically examined the role of state policies in the implementation of DCTs that enroll patients residing in-state.…”

Accelerometer‐Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank

“…Although the positive impact of physical activity (PA) on CeVD risk has been routinely observed, remote monitoring of CeVD almost exclusively focuses on poststroke patients. 13 , 14 , 15 Recently, a growing number of studies has explored the potential of PA and sleep monitoring with accelerometers to predict CeVD 16 , 17 , 18 , 19 ; however, subsequent findings are limited by small sample sizes and the exclusion of underdiagnosed and less prevalent CeVDs, like retinal artery occlusion.…”