. 기존에 몇몇 연구에 의하면 관절의 손상이나 관절의 병 적 상태로 인하여 자세 흔들림(postural sway)이 증가되 고 자세균형조절이 저하된다고 하였으며 4,7,9,20) (Table 1). (Table 2), (Fig. 3). 또한 나이, 성별에 따른 평형점수(EQ)의 변화에서는 통 계적인 차이가 없었다(p>0.05). 이에 반해 SOT-5에서 수 술 전, 후의 Harris hip score의 증가 정도와 평형점수 (EQ)의 변화량은 유의한 상관관계(correlation)를 보였다 (p<0.01, r=0.649) (Fig. 4).
REFERENCES01) Barrack RL, Skinner HB, Brunet ME and Cook SD:Joint laxity and propriocept-ion in the knee. Phys Sports Med. 11: 130-135, 1983 To investigate the changes in postural balance before and after total hip arthroplasty (THA) using computerized dynamic posturography Materials and Methods: This was a prospective study of 18 patients undergoing total hip arthroplasty. We evaluated each patient's postural balance prior to, and at least 12 months after, total hip arthroplasty by using computerized dynamic posturography. We compared the preoperative equilibrium scores with the postoperative equilibrium scores. Clinical results were assessed for all patients preoperatively and postoperatively using the Harris hip scoring system. We investigated whether postural balance improves, and what factors were related to this parameter.
Results:Patients showed significant improvement in postural balance by means of proprioception after total hip arthroplasty (p<0.05). We found, during intercepting visual compensation, that an increase in the Harris hip score was correlated with an improvement in balance (p<0.01, r = 0.649).
Conclusion:Patients with Total hip arthroplasty showed improvement in dynamic postural balance through proprioceptive recovery, and balance improved as the Harris hip score increased. This resulted in decreased pain, recovery of articular function, enhancement of physical activity, and ultimately improvement in postural balance by means of total hip arthroplasty.
This paper proposes the approach to calibration of a thermal camera that has three viewpoints. This work estimates the intrinsic parameters of the camera by establishing geometric relationship between real-world scene points and image points. This work estimates the extrinsic parameters, i.e., rotation and translation of the camera using vanishing points. The present work is different from the existed work on the calibration from three perspectives. The first one is that this work calibrates thermal camera with three viewpoints whose relative rotation is greater than 180-degree. The second one is that the viewpoints shares few overlapped areas due to the structure of the camera, so the proposed work is more challenging and difficult than the previous work on the calibration. The third one is that projected image of a scene requires quality enhancement for the calibration. Since few overlapped images are given a priori, feature matching cannot be used for the calibration. Instead of using correspondence matching, vanishing points are exploited to estimate relative rotations of cameras. The intrinsic parameters are estimated by capturing thermal-checkerboard followed by image processing. Experimental results show the accuracy and stability of the proposed approach for estimation of the intrinsic and the extrinsic parameters.
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