Mayo Clinic College of Medicine and Science, 5777 E. Mayo Boulevard, Scottsdale, AZ 85054, USA.
Mayo Clinic AI Laboratory, 200 1st Street SW, Rochester, MN 55902, USA.
Sensors (Basel). 2024 Jun 2;24(11):3595. doi: 10.3390/s24113595.
Accelerated by the adoption of remote monitoring during the COVID-19 pandemic, interest in using digitally captured behavioral data to predict patient outcomes has grown; however, it is unclear how feasible digital phenotyping studies may be in patients with recent ischemic stroke or transient ischemic attack. In this perspective, we present participant feedback and relevant smartphone data metrics suggesting that digital phenotyping of post-stroke depression is feasible. Additionally, we proffer thoughtful considerations for designing feasible real-world study protocols tracking cerebrovascular dysfunction with smartphone sensors.
在 COVID-19 大流行期间远程监测的采用加速了人们的兴趣，人们希望使用数字捕获的行为数据来预测患者的结果；然而，对于近期发生缺血性卒中和短暂性脑缺血发作的患者，数字表型研究的可行性尚不清楚。在本观点中，我们提出了参与者的反馈意见以及相关的智能手机数据指标，这些指标表明，对卒中后抑郁进行数字表型分析是可行的。此外，我们还提出了一些深思熟虑的考虑因素，用于设计使用智能手机传感器跟踪脑血管功能障碍的可行真实世界研究方案。
