Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar.
KINDI Center for Computing Research, Qatar University, Doha 2713, Qatar.
Sensors (Basel). 2023 May 23;23(11):5003. doi: 10.3390/s23115003.
Glucose monitoring is key to the management of diabetes mellitus to maintain optimal glucose control whilst avoiding hypoglycemia. Non-invasive continuous glucose monitoring techniques have evolved considerably to replace finger prick testing, but still require sensor insertion. Physiological variables, such as heart rate and pulse pressure, change with blood glucose, especially during hypoglycemia, and could be used to predict hypoglycemia. To validate this approach, clinical studies that contemporaneously acquire physiological and continuous glucose variables are required. In this work, we provide insights from a clinical study undertaken to study the relationship between physiological variables obtained from a number of wearables and glucose levels. The clinical study included three screening tests to assess neuropathy and acquired data using wearable devices from 60 participants for four days. We highlight the challenges and provide recommendations to mitigate issues that may impact the validity of data capture to enable a valid interpretation of the outcomes.
血糖监测是糖尿病管理的关键，以维持最佳血糖控制，同时避免低血糖。非侵入性连续血糖监测技术已经有了很大的发展，可以替代指尖采血检测，但仍需要传感器插入。生理变量，如心率和脉搏压，随血糖变化而变化，特别是在低血糖期间，可用于预测低血糖。为了验证这种方法，需要进行同时获取生理和连续血糖变量的临床研究。在这项工作中，我们提供了一项临床研究的见解，该研究旨在研究从多个可穿戴设备获得的生理变量与血糖水平之间的关系。该临床研究包括三项筛查测试，以评估神经病，并使用来自 60 名参与者的可穿戴设备在四天内获取数据。我们强调了挑战，并提供了建议，以减轻可能影响数据采集有效性的问题，从而能够对结果进行有效的解释。
