Lee J H, Jiang C C, Yuan T T
Department of Electrical Engineering, National Taiwan University, Taipei, R.O.C.
IEEE Trans Biomed Eng. 2000 Aug;47(8):1131-3. doi: 10.1109/10.855942.
Physiological patellofemoral crepitus (PPC) is the vibration signal produced by the knee joint during slow motion (less than 5 degrees per second), which can be measured by vibration arthrometry (VAM). By using the autoregressive (AR) model for the PPC signals of patients with knee osteoarthritis, the study analyzes the PPC signals to evaluate the condition of patellar-femoral joint cartilage. Accordingly, we can divide osteoarthritis into three types, type 1: the cartilage of patellar-femoral joint is intact, the osteoarthritis found in the femoral-tibial joint surface; type 2: degeneration occurs in the surface cartilage of both the femoral-tibial joint and the femoral trochlea, but not on the patellar surface; type 3: both patellar-femoral and femoral-tibial joints have osteoarthritis. For the analysis, the intraclass distance of AR coefficients and spectral power ratio of dominant poles are adopted. Based on the proposed method, two cases of type 1, six of type 2, and 28 of type 3 were found in 36 cases of knee osteoarthritis. This is in agreement with the operative findings. For comparison, the PPC signals of 10 subjects with normal knees (without pain or wound history) were also measured. The results of analysis of the 10 normal subjects were consistent and clearly differentiable from those of the osteoarthritis patients. Therefore, the proposed method is efficient for the analysis of the condition of patellar-femoral joint cartilage and VAM may become an alternative way of noninvasive diagnosis of knee osteoarthritis.
生理性髌股关节摩擦音(PPC)是膝关节在缓慢运动(每秒小于5度)时产生的振动信号,可通过振动关节测量法(VAM)进行测量。通过对膝关节骨关节炎患者的PPC信号使用自回归(AR)模型,该研究分析PPC信号以评估髌股关节软骨的状况。据此,我们可将骨关节炎分为三种类型,1型:髌股关节软骨完好,骨关节炎出现在股骨-胫骨关节面;2型:股骨-胫骨关节和股骨滑车的表面软骨发生退变,但髌面未发生退变;3型:髌股关节和股骨-胫骨关节均患有骨关节炎。对于该分析,采用AR系数的组内距离和主导极点的频谱功率比。基于所提出的方法,在36例膝关节骨关节炎患者中发现了2例1型、6例2型和28例3型。这与手术结果相符。为作比较,还测量了10名膝关节正常(无疼痛或创伤史)受试者的PPC信号。对这10名正常受试者的分析结果一致,且与骨关节炎患者的结果有明显差异。因此,所提出的方法对于分析髌股关节软骨状况是有效的,并且VAM可能成为膝关节骨关节炎无创诊断的一种替代方法。