Shen Y, Rangayyan R M, Bell G D, Frank C B, Zhang Y T, Ladly K O
Department of Electrical and Computer Engineering, University of Calgary, Alberta, Canada.
Med Eng Phys. 1995 Dec;17(8):583-94. doi: 10.1016/1350-4533(95)00013-d.
This paper proposes non-invasive techniques to localize sound or vibroarthrographic (VAG) signal sources in human knee joints. VAG signals from normal subjects, patients who subsequently underwent arthroscopy, and cadavers with arthroscopically-created lesions, obtained by stimulation with a finger tap over the mid-patella and swinging movement of the leg, were analyzed for time delays using cross-correlation functions for source localization. Correct results were obtained for 13 of the 14 subjects tested by finger stimulation, and for 11 of the 12 subjects whose VAG signals during swinging movement were analyzed. The techniques could be valuable in the diagnosis and treatment of knee pathology before and after joint surgery or drug therapy.
本文提出了用于定位人体膝关节声音或振动关节造影（VAG）信号源的非侵入性技术。通过在髌骨中部轻敲手指以及腿部摆动运动进行刺激，获取了来自正常受试者、随后接受关节镜检查的患者以及具有关节镜下创建病变的尸体的VAG信号，并使用互相关函数分析时间延迟以进行源定位。在通过手指刺激测试的14名受试者中，有13名获得了正确结果；在分析了摆动运动期间VAG信号的12名受试者中，有11名获得了正确结果。这些技术在关节手术或药物治疗前后膝关节病理学的诊断和治疗中可能具有重要价值。
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