Department of Computer Engineering, Gachon University Global Campus, Seongnam 13120, Korea.
Sensors (Basel). 2022 Nov 7;22(21):8559. doi: 10.3390/s22218559.
In general, it is very difficult to visually locate blood vessels for intravenous injection or surgery. In addition, if vein detection fails, physical and mental pain occurs to the patient and leads to financial loss in the hospital. In order to prevent this problem, NIR-based vein detection technology is developing. The proposed study combines vein detection and digital hair removal to eliminate body hair, a noise that hinders the accuracy of detection, improving the performance of the entire algorithm by about 10.38% over existing systems. In addition, as a result of performing venous detection of patients without body hair, 5.04% higher performance than the existing system was detected, and the proposed study results were verified. It is expected that the use of devices to which the proposed study is applied will provide more accurate vascular maps in general situations.
一般来说，很难通过视觉定位静脉进行静脉注射或手术。此外，如果静脉检测失败，患者会感到身心疼痛，并导致医院的经济损失。为了防止这个问题，基于近红外光的静脉检测技术正在发展。本研究将静脉检测与数字脱毛相结合，以消除干扰检测准确性的体毛，从而使整个算法的性能比现有系统提高约 10.38%。此外，由于对没有体毛的患者进行了静脉检测，检测到的性能比现有系统高出 5.04%，验证了本研究的结果。预计应用本研究的设备将在一般情况下提供更准确的血管图。
