Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 413310, Taiwan.
Department of Biomedical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.
Sensors (Basel). 2021 Apr 2;21(7):2446. doi: 10.3390/s21072446.
Deep vein thrombosis (DVT) of lower limbs can easily arise from prolonged sitting or standing. Elders and pregnant women are most likely to have this disease. When the embolus of DVT comes to pass the lung, it will become a life-threatening disease. Thus, for DVT disease, early detection and the early treatment are needed. The goal of this study was to develop an examination system to be used at non-medical places to detect the DVT of lower limbs with light reflection rheography (LRR). Consisting of a wearable device and a mobile application (APP), the system is operated in a wireless manner to control the actions of sensors and display and store the LRR signals on the APP. Then, the recorded LRR signals are processed to find the parameters of DVT examination. Twenty subjects were recruited to perform experiments. The veins of lower limbs were occluded by pressuring the cuff up to 100 mmHg and 150 mmHg to simulate the slight and serious DVT scenarios, respectively. Six characteristic parameters were defined to classify whether there was positive or negative DVT using the receiver operating characteristic curves, including the slopes of emptying and refilling curves in the LRR signal, and the changes of venous pump volume. Under the slight DVT scenario (0 mmHg vs. 100 mmHg), the first three parameters, m, m, and m, had accuracies of 72%, 69%, and 69%, respectively. Under the serious DVT scenario (0 mmHg vs. 150 mmHg), m, m, and m achieved accuracies of 73%, 76%, and 73%, respectively. The experimental results show that this proposed examination system may be practical as an auxiliary tool to screen DVT in homecare settings.
下肢深静脉血栓（DVT）很容易在长时间坐着或站立时发生。老年人和孕妇最容易患上这种疾病。当 DVT 的栓子通过肺部时，它将成为一种危及生命的疾病。因此，对于 DVT 疾病，需要早期发现和早期治疗。本研究的目的是开发一种在非医疗场所使用的光反射描记法（LRR）检测下肢 DVT 的检查系统。该系统由可穿戴设备和移动应用程序（APP）组成，以无线方式操作，控制传感器的动作，并在 APP 上显示和存储 LRR 信号。然后，处理记录的 LRR 信号以找到 DVT 检查的参数。招募了 20 名受试者进行实验。通过将袖带加压至 100mmHg 和 150mmHg 来分别模拟轻度和重度 DVT 情况，从而阻塞下肢静脉。使用受试者工作特征曲线定义了六个特征参数来分类是否存在阳性或阴性 DVT，包括 LRR 信号排空和再填充曲线的斜率，以及静脉泵容量的变化。在轻度 DVT 情况下（0mmHg 与 100mmHg 相比），前三个参数 m、m 和 m 的准确率分别为 72%、69%和 69%。在严重 DVT 情况下（0mmHg 与 150mmHg 相比），m、m 和 m 的准确率分别为 73%、76%和 73%。实验结果表明，该检查系统可能可作为家庭护理环境中筛查 DVT 的辅助工具。
