光电容积描记术和深度学习相结合在皮瓣术后监测中的应用  

Application of Photoplethysmography Combined with Deep Learningin Postoperative Monitoring of Flaps

作　　者：杨景 杨昕蕾[2] 高雨蔚 张春雷 王迪 宋涛[3] YANG Jing;YANG Xinlei;GAO Yuwei;ZHANG Chunlei;WANG Di;SONG Tao(School of Stomatology,Harbin Medical University,Harbin,150000;The First Affiliated Hospital of Harbin Medical University,Harbin,150000;Stomatological Hospital of Harbin Medical University,Harbin,150000)

机构地区：[1]哈尔滨医科大学口腔医学院,哈尔滨市150000 [2]哈尔滨医科大学附属第一医院,哈尔滨市150000 [3]哈尔滨医科大学附属口腔医院,哈尔滨市150000

出　　处：《中国医疗器械杂志》2024年第4期419-425,共7页Chinese Journal of Medical Instrumentation

摘　　要：目的 光电容积描记术(PPG)在皮瓣监测中具有较高的灵敏度和特异性。深度学习可以自动、鲁棒地从原始数据中提取特征。该研究提出将PPG与1D-CNN相结合,初步探索该方法区分皮瓣动脉栓塞程度和定位栓塞点的能力。方法 在皮瓣动脉模型和兔皮瓣模型中通过制造血管栓塞,采集正常和不同栓塞条件下的数据。随后使用1D-CNN对这些数据进行训练,验证和测试。结果 随着动脉栓塞程度的增加,栓塞点上游PPG波幅逐渐增加,下游PPG波幅逐渐减小,栓塞点上下游波幅差距逐渐加大。1D-CNN在皮瓣动脉模型和兔皮瓣模型测试的平均准确率分别为98.36%和95.90%。结论 深度学习和PPG相结合的监测方法可以实现皮瓣动脉栓塞程度的识别和栓塞点的精确定位。Objective Photoelectric volumetric tracing(PPG)exhibits high sensitivity and specificity in flap monitoring.Deep learning(DL)is capable of automatically and robustly extracting features from raw data.In this study,we propose combining PPG with 1D convolutional neural networks(1D-CNN)to preliminarily explore the method’s ability to distinguish the degree of embolism and to localize the embolic site in skin flap arteries.Methods Data were collected under normal conditions and various embolic scenarios by creating vascular emboli in a dermatome artery model and a rabbit dermatome model.These datasets were then trained,validated,and tested using 1D-CNN.Results As the degree of arterial embolization increased,the PPG amplitude upstream of the embolization site progressively increased,while the downstream amplitude progressively decreased,and the gap between the upstream and downstream amplitudes at the embolization site progressively widened.1D-CNN was evaluated in the skin flap arterial model and rabbit skin flap model,achieving average accuracies of 98.36%and 95.90%,respectively.Conclusion The combined monitoring approach of DL and PPG can effectively identify the degree of embolism and locate the embolic site within the skin flap artery.

关 键 词：光电容积描记术 深度学习 皮瓣 

分 类 号：R197.39[医药卫生—卫生事业管理]